diff --git "a/cohort.json" "b/cohort.json" deleted file mode 100644--- "a/cohort.json" +++ /dev/null @@ -1,21144 +0,0 @@ -{ - "schema": "source-qualified-extraction-cohort/1", - "id": "liveweb-ie", - "name": "LiveWeb-IE", - "repository": "Lexmount/LexBench-LiveWeb-IE", - "source_versions": { - "upstream_archive": "f9d9036e5505dc4708e69bff607823c9484e56f09e87a9ebdf1b61fc277ea008", - "checked_at": "2026-11-06T10:07:05Z", - "browser_eval_scorer_sha256": "67d408aafa39e676034b9e5a21db2c6a317b8236b107c6864559e9712a95e439" - }, - "source_license": "LiveWeb-IE by Yang et al., 2026. \nThe LiveWeb-IE benchmark is released strictly for **non-commercial research purposes only**. \n\nBy downloading or using this dataset, you agree to the following terms:\n1. **Non-Commercial Use**: You may not use this dataset for any commercial purposes, including but not limited to training commercial models or enhancing commercial services.\n2. **Attribution**: Any publication or report using this dataset must cite the original paper (LiveWeb-IE: A Benchmark For Online Web Information Extraction, ICLR 2026).\n3. **No Redistribution without License**: You may not redistribute this dataset without including this license agreement.\n\nThis restriction complies with the ethical agreements made with the website providers included in this benchmark.\n\n", - "input_mode": "live", - "selection": { - "seed": "web-extract-first-batch-20261106", - "cases": 200, - "selection_contract_version": 4, - "source": "original 200 selected URL/query pairs, independently source-grounded; no participant outcomes used", - "validity": "source page and reference validity; access blocks do not establish invalidity" - }, - "cases": [ - { - "id": "liveweb-ie-5414a8386a6ccfd2aa55", - "url": "https://arxiv.org/abs/2401.14576", - "domain": "arxiv", - "site": "arxiv", - "values": { - "author": [ - "Steven W. D. Chien", - "Kento Sato", - "Artur Podobas", - "Niclas Jansson", - "Stefano Markidis", - "Michio Honda" - ], - "author_profile_link": [ - "https://arxiv.org/search/cs?searchtype=author&query=Chien,+S+W+D", - "https://arxiv.org/search/cs?searchtype=author&query=Sato,+K", - "https://arxiv.org/search/cs?searchtype=author&query=Podobas,+A", - "https://arxiv.org/search/cs?searchtype=author&query=Jansson,+N", - "https://arxiv.org/search/cs?searchtype=author&query=Markidis,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Honda,+M" - ] - }, - "schema": { - "type": "object", - "properties": { - "author": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Please provide each author's name and the link to their detailed profile; target attribute: author" - }, - "author_profile_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Please provide each author's name and the link to their detailed profile; target attribute: author_profile_link" - } - }, - "required": [ - "author", - "author_profile_link" - ] - }, - "input": "dataset/html/liveweb-ie-5414a8386a6ccfd2aa55.html", - "input_sha256": "29565ff66a11f125b139ee5689ca17b2aaada480827d8367df15a4b4d45a5e2a", - "assets": [], - "value_kinds": { - "author_profile_link": "url" - }, - "source_value_counts": { - "author": { - "Steven W. D. Chien": 1, - "Kento Sato": 1, - "Artur Podobas": 1, - "Niclas Jansson": 1, - "Stefano Markidis": 1, - "Michio Honda": 1 - }, - "author_profile_link": { - "https://arxiv.org/search/cs?searchtype=author&query=Chien,+S+W+D": 1, - "https://arxiv.org/search/cs?searchtype=author&query=Sato,+K": 1, - "https://arxiv.org/search/cs?searchtype=author&query=Podobas,+A": 1, - "https://arxiv.org/search/cs?searchtype=author&query=Jansson,+N": 1, - "https://arxiv.org/search/cs?searchtype=author&query=Markidis,+S": 1, - "https://arxiv.org/search/cs?searchtype=author&query=Honda,+M": 1 - } - }, - "original_reference": { - "author": [ - "Steven W. D. Chien", - "Kento Sato", - "Artur Podobas", - "Niclas Jansson", - "Stefano Markidis", - "Michio Honda" - ], - "author_profile_link": [ - "https://arxiv.org/search/cs?searchtype=author&query=Chien,+S+W+D", - "https://arxiv.org/search/cs?searchtype=author&query=Sato,+K", - "https://arxiv.org/search/cs?searchtype=author&query=Podobas,+A", - "https://arxiv.org/search/cs?searchtype=author&query=Jansson,+N", - "https://arxiv.org/search/cs?searchtype=author&query=Markidis,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Honda,+M" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "29565ff66a11f125b139ee5689ca17b2aaada480827d8367df15a4b4d45a5e2a", - "reference_sha256": "34ccb3b4cfb9eb98eb8a324d2d8114c18ae36a7d1db950bf8937b5ca6b12e251", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:05Z", - "source_url": "https://arxiv.org/abs/2401.14576" - }, - "query": "Please provide each author's name and the link to their detailed profile" - }, - { - "id": "liveweb-ie-c0e0f78c9078a5c9df63", - "url": "https://books.toscrape.com/catalogue/the-star-touched-queen_642/index.html", - "domain": "booktoscrape", - "site": "booktoscrape", - "values": { - "price": [ - "£32.30" - ], - "stock_status": [ - "In stock (12 available)" - ] - }, - "schema": { - "type": "object", - "properties": { - "price": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Fetch the book price and stock status.; target attribute: price" - }, - "stock_status": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Fetch the book price and stock status.; target attribute: stock_status" - } - }, - "required": [ - "price", - "stock_status" - ] - }, - "input": "dataset/html/liveweb-ie-c0e0f78c9078a5c9df63.html", - "input_sha256": "960b6c191478f357f799861f6bb3a65957acef79f7eb084f27965373ae58122a", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "price": { - "£32.30": 1 - }, - "stock_status": { - "In stock (12 available)": 1 - } - }, - "original_reference": { - "price": [ - "£32.30" - ], - "stock_status": [ - "In stock (12 available)" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "960b6c191478f357f799861f6bb3a65957acef79f7eb084f27965373ae58122a", - "reference_sha256": "8e5ec98192814dbfe185f9117aac7fee85a3c326079f86dd6e3afc3342a6d2e5", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:13Z", - "source_url": "https://books.toscrape.com/catalogue/the-star-touched-queen_642/index.html" - }, - "query": "Fetch the book price and stock status." - }, - { - "id": "liveweb-ie-37c753c3b97971915c93", - "url": "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47314", - "domain": "fueleconomy", - "site": "fueleconomy", - "values": { - "vehicle": [ - "2024 Porsche 911 Targa 4 GTS" - ], - "vehicle_image": [ - "https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Targa.jpg" - ], - "tank_size": [ - "17.6 gallons" - ] - }, - "schema": { - "type": "object", - "properties": { - "vehicle": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get the vehicle's full name along with its photo and tank size; target attribute: vehicle" - }, - "vehicle_image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get the vehicle's full name along with its photo and tank size; target attribute: vehicle_image" - }, - "tank_size": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get the vehicle's full name along with its photo and tank size; target attribute: tank_size" - } - }, - "required": [ - "vehicle", - "vehicle_image", - "tank_size" - ] - }, - "input": "dataset/html/liveweb-ie-37c753c3b97971915c93.html", - "input_sha256": "6f1a9dff0e022391e35aaeb405e402597182f03cafd771f39a1bcadb60911883", - "assets": [], - "value_kinds": { - "vehicle_image": "url" - }, - "source_value_counts": { - "vehicle": { - "2024 Porsche 911 Targa 4 GTS": 1 - }, - "vehicle_image": { - "https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Targa.jpg": 1 - }, - "tank_size": { - "17.6 gallons": 1 - } - }, - "original_reference": { - "vehicle": [ - "2024 Porsche 911 Targa 4 GTS" - ], - "vehicle_image": [ - "https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Targa.jpg" - ], - "tank_size": [ - "17.6 gallons" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "6f1a9dff0e022391e35aaeb405e402597182f03cafd771f39a1bcadb60911883", - "reference_sha256": "fca46429213c0af7263587c572e98ae7f95ec254d6ed2598e1d170d49abe103f", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:42Z", - "source_url": "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47314" - }, - "query": "Get the vehicle's full name along with its photo and tank size" - }, - { - "id": "liveweb-ie-f5397d291968f0ddecd7", - "url": "https://huggingface.co/papers/2408.10198", - "domain": "huggingface", - "site": "huggingface", - "values": { - "author": [ - "Minghua Liu", - "Chong Zeng", - "Xinyue Wei", - "Ruoxi Shi", - "Linghao Chen", - "Chao Xu", - "Mengqi Zhang", - "Zhaoning Wang", - "Xiaoshuai Zhang", - "Isabella Liu", - "Hongzhi Wu", - "Hao Su" - ] - }, - "schema": { - "type": "object", - "properties": { - "author": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Can you fetch all the names of the authors?; target attribute: author" - } - }, - "required": [ - "author" - ] - }, - "input": "dataset/html/liveweb-ie-f5397d291968f0ddecd7.html", - "input_sha256": "5796042518838e19779b3f421ba042dad8fcbc9baa4ff4462e5e9eb2c1d484ee", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "author": { - "Minghua Liu": 1, - "Chong Zeng": 1, - "Xinyue Wei": 1, - "Ruoxi Shi": 1, - "Linghao Chen": 1, - "Chao Xu": 1, - "Mengqi Zhang": 1, - "Zhaoning Wang": 1, - "Xiaoshuai Zhang": 1, - "Isabella Liu": 1, - "Hongzhi Wu": 1, - "Hao Su": 1 - } - }, - "original_reference": { - "author": [ - "Minghua Liu", - "Chong Zeng", - "Xinyue Wei", - "Ruoxi Shi", - "Linghao Chen", - "Chao Xu", - "Mengqi Zhang", - "Zhaoning Wang", - "Xiaoshuai Zhang", - "Isabella Liu", - "Hongzhi Wu", - "Hao Su" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "5796042518838e19779b3f421ba042dad8fcbc9baa4ff4462e5e9eb2c1d484ee", - "reference_sha256": "cc0e7cb4b518cc6e7efe8b8d4d9246cc1bc85e6410b30142cb2e762d7778ee75", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:36Z", - "source_url": "https://huggingface.co/papers/2408.10198" - }, - "query": "Can you fetch all the names of the authors?" - }, - { - "id": "liveweb-ie-5d20334c3776448c4fd7", - "url": "https://iclr.cc/virtual/2025/poster/29556", - "domain": "iclr", - "site": "iclr", - "values": { - "title": [ - "Efficient Model Editing with Task-Localized Sparse Fine-tuning" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the title of the paper; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-5d20334c3776448c4fd7.html", - "input_sha256": "69ea4452d884202afca5246441dced2f67067ce34add555473857b8ae0d50c83", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Efficient Model Editing with Task-Localized Sparse Fine-tuning": 1 - } - }, - "original_reference": { - "title": [ - "Efficient Model Editing with Task-Localized Sparse Fine-tuning" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "69ea4452d884202afca5246441dced2f67067ce34add555473857b8ae0d50c83", - "reference_sha256": "4bdb68128d067561c774ded5a22ed001230028a9327d32583bdcb2cd1197a1ed", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:09Z", - "source_url": "https://iclr.cc/virtual/2025/poster/29556" - }, - "query": "Extract the title of the paper" - }, - { - "id": "liveweb-ie-2a1f28ff3cb3808cd569", - "url": "https://icml.cc/virtual/2025/poster/43537", - "domain": "icml", - "site": "icml", - "values": { - "title": [ - "Robust Autonomy Emerges from Self-Play" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the title for this paper; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-2a1f28ff3cb3808cd569.html", - "input_sha256": "328de9ddd2d4099bce44fbb4fed539d6bed3a9ca4bc1b11bc84b6c9cf4db49a1", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Robust Autonomy Emerges from Self-Play": 1 - } - }, - "original_reference": { - "title": [ - "Robust Autonomy Emerges from Self-Play" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "328de9ddd2d4099bce44fbb4fed539d6bed3a9ca4bc1b11bc84b6c9cf4db49a1", - "reference_sha256": "097db01882ba7b96c49140cfc5f529d2fed41663dee03a1819646f6aa4c8fe24", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:22Z", - "source_url": "https://icml.cc/virtual/2025/poster/43537" - }, - "query": "Retrieve the title for this paper" - }, - { - "id": "liveweb-ie-7953cdb47e01fdb66270", - "url": "https://marinespecies.org/photogallery.php?album=2509&pic=48564", - "domain": "marinespecies", - "site": "marinespecies", - "values": { - "author": [ - "Pillon, Roberto" - ], - "species": [ - "Echiura (spoon worms)" - ] - }, - "schema": { - "type": "object", - "properties": { - "author": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the author name and species name from the entry.; target attribute: author" - }, - "species": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the author name and species name from the entry.; target attribute: species" - } - }, - "required": [ - "author", - "species" - ] - }, - "input": "dataset/html/liveweb-ie-7953cdb47e01fdb66270.html", - "input_sha256": "8d1d5dd9ed1ec59d150f007a10eb7272317fb51c21e5a0b7db502db8aa290a5a", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "author": { - "Pillon, Roberto": 1 - }, - "species": { - "Echiura (spoon worms)": 1 - } - }, - "original_reference": { - "author": [ - "Pillon, Roberto" - ], - "species": [ - "Echiura (spoon worms)" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "8d1d5dd9ed1ec59d150f007a10eb7272317fb51c21e5a0b7db502db8aa290a5a", - "reference_sha256": "4a9e6eee4aab6e6a851cdf459914d1cfd41506abaa8f5ecaa79b853f93826796", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:29Z", - "source_url": "https://marinespecies.org/photogallery.php?album=2509&pic=48564" - }, - "query": "Extract the author name and species name from the entry." - }, - { - "id": "liveweb-ie-192a1e01750a1c1c68cf", - "url": "https://neurips.cc/virtual/2024/poster/94715", - "domain": "neurips", - "site": "neurips", - "values": { - "title": [ - "AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get the paper's title; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-192a1e01750a1c1c68cf.html", - "input_sha256": "cc7e9c4b9e0fa45263b5074fafb290c3964a930deba0a3a48e6c63ea73d10585", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases": 1 - } - }, - "original_reference": { - "title": [ - "AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "cc7e9c4b9e0fa45263b5074fafb290c3964a930deba0a3a48e6c63ea73d10585", - "reference_sha256": "f02a98201f681a4629a61dce78c8988bf20f1aefc7231cb9f566616f3704981a", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:15Z", - "source_url": "https://neurips.cc/virtual/2024/poster/94715" - }, - "query": "Get the paper's title" - }, - { - "id": "liveweb-ie-d4ab33cd4fcb68df1a73", - "url": "http://quotes.toscrape.com/author/Terry-Pratchett", - "domain": "quotestoscrape", - "site": "quotestoscrape", - "values": { - "birth": [ - "April 28, 1948" - ] - }, - "schema": { - "type": "object", - "properties": { - "birth": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Collect the author's born details; target attribute: birth" - } - }, - "required": [ - "birth" - ] - }, - "input": "dataset/html/liveweb-ie-d4ab33cd4fcb68df1a73.html", - "input_sha256": "9320d30a44f4b90c57e9eda42ec3761d8efb2833cf1a57e35004a765cceeb2e3", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "birth": { - "April 28, 1948": 1 - } - }, - "original_reference": { - "birth": [ - "April 28, 1948" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "9320d30a44f4b90c57e9eda42ec3761d8efb2833cf1a57e35004a765cceeb2e3", - "reference_sha256": "59a4d9ef08849b36bce700bdb17993bae04f38bca8d1806ed5128781563fcedc", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:09Z", - "source_url": "http://quotes.toscrape.com/author/Terry-Pratchett" - }, - "query": "Collect the author's born details" - }, - { - "id": "liveweb-ie-42fd5a5c4e0bc13ae558", - "url": "https://sandbox.oxylabs.io/products/272", - "domain": "sandboxoxlabio", - "site": "sandboxoxlabio", - "values": { - "platform": [ - "Pc" - ], - "title": [ - "IL-2 Sturmovik: Forgotten Battles" - ] - }, - "schema": { - "type": "object", - "properties": { - "platform": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the game platform and each title of the video game from the same page.; target attribute: platform" - }, - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the game platform and each title of the video game from the same page.; target attribute: title" - } - }, - "required": [ - "platform", - "title" - ] - }, - "input": "dataset/html/liveweb-ie-42fd5a5c4e0bc13ae558.html", - "input_sha256": "2badee4aace2ed12d0bd021032fc1cef918fdbf17c844d12d0b8e081d795559f", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "platform": { - "Pc": 1 - }, - "title": { - "IL-2 Sturmovik: Forgotten Battles": 1 - } - }, - "original_reference": { - "platform": [ - "pc" - ], - "title": [ - "IL-2 Sturmovik: Forgotten Battles" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "2badee4aace2ed12d0bd021032fc1cef918fdbf17c844d12d0b8e081d795559f", - "reference_sha256": "c6f5e8d5fd91ed1d3007e8cb9fdb8187f6af8f8a949af14ded4e455ff5758904", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [ - { - "field": "platform", - "original": "pc", - "accepted": "Pc", - "source_sha256": "2badee4aace2ed12d0bd021032fc1cef918fdbf17c844d12d0b8e081d795559f", - "reason": "whitespace and source-supported HTML entity decoding only" - } - ], - "observed_at": "2026-11-06T10:08:04Z", - "source_url": "https://sandbox.oxylabs.io/products/272" - }, - "query": "Extract the game platform and each title of the video game from the same page." - }, - { - "id": "liveweb-ie-0206a4d5ba751046f8c1", - "url": "https://www.scrapethissite.com/pages/simple/", - "domain": "scrapethissite", - "site": "scrapethissite", - 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"schema": { - "type": "object", - "properties": { - "meal": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Give me the name of the food; target attribute: meal" - } - }, - "required": [ - "meal" - ] - }, - "input": "dataset/html/liveweb-ie-41641dc8441657e6eb32.html", - "input_sha256": "7faa61857e80af5fa8c21a7664910f26720d45e9f0eae9130d05c0711abbcee1", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "meal": { - "Cashew Ghoriba Biscuits": 1 - } - }, - "original_reference": { - "meal": [ - "Cashew Ghoriba Biscuits" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "7faa61857e80af5fa8c21a7664910f26720d45e9f0eae9130d05c0711abbcee1", - "reference_sha256": "7933dfa9bdb72b0efb42a3b75063da4bf714963a3f7c21fb65312fd5a83fd785", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:50Z", - "source_url": "https://www.themealdb.com/meal/52976-cashew-ghoriba-biscuits-recipe" - }, - "query": "Give me the name of the food" - }, - { - "id": "liveweb-ie-158a30f60f6e9437a76f", - "url": "https://www.thesportsdb.com/season/4370-formula-1/2020", - "domain": "thesportsdb", - "site": "thesportsdb", - "values": { - "season_badge": [ - "https://r2.thesportsdb.com/images/media/league/badgearchive/n7wg8e1662928362.png" - ], - "season_poster": [ - "https://r2.thesportsdb.com/images/media/league/posterarchive/8z3u9a1719781196.jpg" - ] - }, - "schema": { - "type": "object", - "properties": { - "season_badge": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the badge and the poster of the seasonm; target attribute: season_badge" - }, - "season_poster": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the badge and the poster of the seasonm; target attribute: season_poster" - } - }, - "required": [ - "season_badge", - "season_poster" - ] - }, - "input": "dataset/html/liveweb-ie-158a30f60f6e9437a76f.html", - 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"source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:47Z", - "source_url": "https://www.thesportsdb.com/season/4370-formula-1/2020" - }, - "query": "Extract the badge and the poster of the seasonm" - }, - { - "id": "liveweb-ie-b6b9aef31c6a3ff649a3", - "url": "https://arxiv.org/list/cs.GR/2024-01", - "domain": "arxiv", - "site": "arxiv", - "values": { - "title": [ - "Free-form Shape Modeling in XR: A Systematic Review", - "Image Sculpting: Precise Object Editing with 3D Geometry Control", - "Immersive Serious Games for Learning Physics Concepts: The Case of Density", - "Teaching with a companion: the case of gravity", - "Compositing with 2D Vector Fields by using Shape Maps that can represent Inconsistent, Impossible, and Incoherent Shapes", - "Particle-Wise Higher-Order SPH Field Approximation for DVR", - "AKN_Regie: bridging digital and performing arts", - "Computational Smocking through Fabric-Thread Interaction", - "3D-PreMise: Can Large Language Models Generate 3D Shapes with Sharp Features and Parametric Control?", - 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"type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract all paper titles and pdf links; target attribute: title" - }, - "pdf_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract all paper titles and pdf links; target attribute: pdf_link" - } - }, - "required": [ - "title", - "pdf_link" - ] - }, - "input": "dataset/html/liveweb-ie-b6b9aef31c6a3ff649a3.html", - "input_sha256": "9f23e9525c27e0f6802b4d635cdb475e000cc6612a6570abcb968b16491664e7", - "assets": [], - "value_kinds": { - "pdf_link": "url" - }, - "source_value_counts": { - "title": { - "Free-form Shape Modeling in XR: A Systematic Review": 1, - "Image Sculpting: Precise Object Editing with 3D Geometry Control": 1, - "Immersive Serious Games for Learning Physics Concepts: The Case of Density": 1, - "Teaching with a companion: the case of gravity": 1, - "Compositing with 2D Vector Fields by using Shape Maps that can represent Inconsistent, Impossible, and Incoherent Shapes": 1, - 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"/pdf/2401.15523": 1, - "/pdf/2401.15628": 1, - "/pdf/2401.15664": 1, - "/pdf/2401.16496": 1, - "/pdf/2401.16534": 1, - "/pdf/2401.16536": 1, - "/pdf/2401.00825": 1, - "/pdf/2401.00847": 1, - "/pdf/2401.01339": 1, - "/pdf/2401.01391": 1, - "/pdf/2401.01647": 1, - "/pdf/2401.02411": 1, - "/pdf/2401.02435": 1, - "/pdf/2401.02436": 1, - "/pdf/2401.02620": 1, - "/pdf/2401.02804": 1, - "/pdf/2401.02847": 1, - "/pdf/2401.03257": 1, - "/pdf/2401.03431": 1, - "/pdf/2401.03499": 1, - "/pdf/2401.03764": 1, - "/pdf/2401.03890": 1, - "/pdf/2401.04153": 1 - } - }, - "original_reference": { - "title": [ - "Free-form Shape Modeling in XR: A Systematic Review", - "Image Sculpting: Precise Object Editing with 3D Geometry Control", - "Immersive Serious Games for Learning Physics Concepts: The Case of Density", - "Teaching with a companion: the case of gravity", - "Compositing with 2D Vector Fields by using Shape Maps that can represent Inconsistent, Impossible, and Incoherent Shapes", - "Particle-Wise Higher-Order SPH Field Approximation for DVR", - "AKN_Regie: bridging digital and performing arts", - "Computational Smocking through Fabric-Thread Interaction", - "3D-PreMise: Can Large Language Models Generate 3D Shapes with Sharp Features and Parametric Control?", - "Scalar Representation of 2D Steady Vector Fields", - "FROST-BRDF: A Fast and Robust Optimal Sampling Technique for BRDF Acquisition", - "High-Quality Mesh Blendshape Generation from Face Videos via Neural Inverse Rendering", - "Diverse Part Synthesis for 3D Shape Creation", - "Lightweight Self-Driven Deformable Organ Animations", - "Spherical Density-Equalizing Map for Genus-0 Closed Surfaces", - "A Multi-scale Yarn Appearance Model with Fiber Details", - "Hyper-Realist Rendering: A Theoretical Framework", - "PSAvatar: A Point-based Shape Model for Real-Time Head Avatar Animation with 3D Gaussian Splatting", - "PatternPortrait: Draw Me Like One of Your Scribbles", - "Evaluation of depth perception in crowded volumes", - "Winding Clearness for Differentiable Point Cloud Optimization", - "A real-time rendering method for high albedo anisotropic materials with multiple scattering", - "A High-Performance SurfaceNets Discrete Isocontouring Algorithm", - "Estimating Cloth Elasticity Parameters From Homogenized Yarn-Level Models", - "GenPluSSS: A Genetic Algorithm Based Plugin for Measured Subsurface Scattering Representation", - "FabHacks: Transform Everyday Objects into Functional Fixtures", - "Gaussian Splashing: Unified Particles for Versatile Motion Synthesis and Rendering", - "Performance-Based Biped Control using a Consumer Depth Camera", - "A Micro-Ellipsoid Model for Wet Porous Materials Rendering", - "Learning Human-like Locomotion Based on Biological Actuation and Rewards", - "Refined Inverse Rigging: A Balanced Approach to High-fidelity Blendshape Animation", - "Democratizing the Creation of Animatable Facial Avatars", - "Saccade-Contingent Rendering", - "Sharp-NeRF: Grid-based Fast Deblurring Neural Radiance Fields Using Sharpness Prior", - "Mocap Everyone Everywhere: Lightweight Motion Capture With Smartwatches and a Head-Mounted Camera", - "Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting", - "On Optimal Sampling for Learning SDF Using MLPs Equipped with Positional Encoding", - "SIGNeRF: Scene Integrated Generation for Neural Radiance Fields", - "What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs", - "Image Collage on Arbitrary Shape via Shape-Aware Slicing and Optimization", - "Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis", - "Progress and Prospects in 3D Generative AI: A Technical Overview including 3D human", - "DiffBody: Diffusion-based Pose and Shape Editing of Human Images", - "Generating Non-Stationary Textures using Self-Rectification", - "RustNeRF: Robust Neural Radiance Field with Low-Quality Images", - "See360: Novel Panoramic View Interpolation", - "Re:Draw -- Context Aware Translation as a Controllable Method for Artistic Production", - "3D-SSGAN: Lifting 2D Semantics for 3D-Aware Compositional Portrait Synthesis", - "A Survey on 3D Gaussian Splatting", - "FTLE for Flow Ensembles by Optimal Domain Displacement" - ], - "pdf_link": [ - "/pdf/2401.00924", - "/pdf/2401.01702", - "/pdf/2401.01831", - "/pdf/2401.01832", - "/pdf/2401.02200", - "/pdf/2401.02896", - "/pdf/2401.03761", - "/pdf/2401.05533", - "/pdf/2401.06437", - "/pdf/2401.06576", - "/pdf/2401.07283", - "/pdf/2401.08398", - "/pdf/2401.09384", - "/pdf/2401.11614", - "/pdf/2401.11795", - "/pdf/2401.12724", - "/pdf/2401.12853", - "/pdf/2401.12900", - "/pdf/2401.13001", - "/pdf/2401.13341", - "/pdf/2401.13639", - "/pdf/2401.14051", - "/pdf/2401.14906", - "/pdf/2401.15169", - "/pdf/2401.15245", - "/pdf/2401.15279", - "/pdf/2401.15318", - "/pdf/2401.15523", - "/pdf/2401.15628", - "/pdf/2401.15664", - "/pdf/2401.16496", - "/pdf/2401.16534", - "/pdf/2401.16536", - "/pdf/2401.00825", - "/pdf/2401.00847", - "/pdf/2401.01339", - "/pdf/2401.01391", - "/pdf/2401.01647", - "/pdf/2401.02411", - "/pdf/2401.02435", - "/pdf/2401.02436", - "/pdf/2401.02620", - "/pdf/2401.02804", - "/pdf/2401.02847", - "/pdf/2401.03257", - "/pdf/2401.03431", - "/pdf/2401.03499", - "/pdf/2401.03764", - "/pdf/2401.03890", - "/pdf/2401.04153" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "9f23e9525c27e0f6802b4d635cdb475e000cc6612a6570abcb968b16491664e7", - "reference_sha256": "0ae1b88757e4bdaa8811252b27474dff95c9e5102f4e36861835eb92754427d2", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:05Z", - "source_url": "https://arxiv.org/list/cs.GR/2024-01" - }, - "query": "Extract all paper titles and pdf links" - }, - { - "id": "liveweb-ie-5cf56401fddde1335dd0", - "url": "https://books.toscrape.com/catalogue/category/books/nonfiction_13/index.html", - "domain": "booktoscrape", - "site": "booktoscrape", - "values": { - "category": [ - "Nonfiction" - ] - }, - "schema": { - "type": "object", - "properties": { - "category": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the category of the book.; target attribute: category" - } - }, - "required": [ - "category" - ] - }, - "input": "dataset/html/liveweb-ie-5cf56401fddde1335dd0.html", - "input_sha256": "be69d3a5293343cf9c27062b7819af219233cfe02e98ac0d36eb3a739d94c0d2", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "category": { - "Nonfiction": 1 - } - }, - "original_reference": { - "category": [ - "Nonfiction" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "be69d3a5293343cf9c27062b7819af219233cfe02e98ac0d36eb3a739d94c0d2", - "reference_sha256": "fc35ef76a743374698030d414f36130728323b9275afea562c56b2340017c228", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:13Z", - "source_url": "https://books.toscrape.com/catalogue/category/books/nonfiction_13/index.html" - }, - "query": "Retrieve the category of the book." - }, - { - "id": "liveweb-ie-3193a683f06617dde12c", - "url": "https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2024&year2=2024&make=MINI&baseModel=Cooper&srchtyp=ymm&pageno=1&rowLimit=50", - "domain": "fueleconomy", - "site": "fueleconomy", - "values": { - "driver_mpg": [ - "134.8", - "NA" - ] - }, - "schema": { - "type": "object", - "properties": { - "driver_mpg": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Please extract all driver mpg; target attribute: driver_mpg" - } - }, - "required": [ - "driver_mpg" - ] - }, - "input": "dataset/html/liveweb-ie-3193a683f06617dde12c.html", - "input_sha256": "6d611f7f17a9c7f04b58664e52c4eda7e2ab8f34857697a8a39ef545e95aa10c", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "driver_mpg": { - "134.8": 1, - "NA": 12 - } - }, - "original_reference": { - "driver_mpg": [ - "134.8", - "NA", - "NA", - "NA", - "NA", - "NA", - "NA", - "NA", - "NA", - "NA", - "NA", - "NA", - "NA" - ] - }, - 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}, - "description": "Show me the list of author counts for all papers; target attribute: author_count" - } - }, - "required": [ - "author_count" - ] - }, - "input": "dataset/html/liveweb-ie-91654157f2deea805da7.html", - "input_sha256": "1e6617497bae6220fc6942a0e70148d699fe84555a0efbb18f585a7050e01eff", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "author_count": { - "4": 2, - "12": 1, - "10": 1, - "11": 1, - "6": 2, - "8": 1, - "5": 1, - "13": 1, - "7": 2 - } - }, - "original_reference": { - "author_count": [ - "4", - "12", - "10", - "4", - "11", - "6", - "8", - "5", - "13", - "7", - "6", - "7" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "1e6617497bae6220fc6942a0e70148d699fe84555a0efbb18f585a7050e01eff", - "reference_sha256": "a522be5dbf783bd61c1eabd42332740b9d59cdf0c50bc6ba5e8f3bf0fe5e4a0a", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:36Z", - "source_url": "https://huggingface.co/papers/date/2024-08-07" - }, - "query": "Show me the list of author counts for all papers" - }, - { - "id": "liveweb-ie-cc489750aa08f7fab99f", - "url": "https://iclr.cc/virtual/2025/papers.html?filter=title&search=llm+agent", - "domain": "iclr", - "site": "iclr", - "values": { - "title": [ - "Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning", - "Robotouille: An Asynchronous Planning Benchmark for LLM Agents", - "AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents", - "Discriminator-Guided Embodied Planning for LLM Agent", - "Moral Alignment for LLM Agents", - "BadRobot: Jailbreaking Embodied LLM Agents in the Physical World", - "Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback", - "AgentSquare: Automatic LLM Agent Search in Modular Design Space", - "Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance", - "Do LLM Agents Have Regret? 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A Case Study in Online Learning and Games", - "Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View", - "Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents", - "EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "8d6f2fd792b3d36071c9fb761201b666eed15f2e5f3e9de5b8cba193f0ab5c0e", - "reference_sha256": "3111ac492a2e042a8fb150cee8418f497607e902f30498c5e7effcb29c5ac9a8", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [ - { - "field": "title", - "original": "Do LLM Agents Have Regret? A Case Study in Online Learning and Games", - "accepted": "Do LLM Agents Have Regret? 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] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve every paper title; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-f9d174cfbedaba003c21.html", - "input_sha256": "ebb64bec00992c0732a6e78ad7ccb0e8b28a83201e142a28ed18da8dece44e99", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Rethinking Score Distilling Sampling for 3D Editing and Generation": 1, - "Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance": 1, - "Learning Distances from Data with Normalizing Flows and Score Matching": 1, - "Rectifying Conformity Scores for Better Conditional Coverage": 1, - "David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training": 1, - "Score as Action: Fine Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning": 1, - 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} - }, - "original_reference": { - "title": [ - "Rethinking Score Distilling Sampling for 3D Editing and Generation", - "Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance", - "Learning Distances from Data with Normalizing Flows and Score Matching", - "Rectifying Conformity Scores for Better Conditional Coverage", - "David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training", - "Score as Action: Fine Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning", - "Parallel Simulation for Log-concave Sampling and Score-based Diffusion Models", - "Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion", - "Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport", - "A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression", - "Score Matching with Missing Data", - "Binary Hypothesis Testing for Softmax Models and Leverage Score Models", - 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"Sampling Binary Data by Denoising through Score Functions", - "Noise Conditional Variational Score Distillation", - "Discrete Markov Probabilistic Models: An Improved Discrete Score-Based Framework with sharp convergence bounds under minimal assumptions", - "B-score: Detecting biases in large language models using response history", - "Score-of-Mixture Training: One-Step Generative Model Training Made Simple via Score Estimation of Mixture Distributions" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "ebb64bec00992c0732a6e78ad7ccb0e8b28a83201e142a28ed18da8dece44e99", - "reference_sha256": "24fe275a00aa9dc8d8ad00226a190f090189e87ea6132695a63885b6222f56a8", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [ - { - "field": "title", - "original": "Discrete Markov Probabilistic Models: An Improved Discrete Score-Based Framework with sharp convergence bounds under minimal assumptions", - 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"qualification": { - "input_sha256": "4f2c0d3cd81fd19b37937d2b9b8c91df2cbaaab199ba906ffc9533bcc28c2858", - "reference_sha256": "f3fedc98e610ea08ee0cd0f54b72ea100ffb8ed8c5ed2b53149d66dd77d28096", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:04Z", - "source_url": "https://sandbox.oxylabs.io/products/category/nintendo/ds" - }, - "query": "Extract the current platform of the game" - }, - { - "id": "liveweb-ie-d871323a0aa8a4988cac", - "url": "https://www.scrapethissite.com/pages/forms/?page_num=20", - "domain": "scrapethissite", - "site": "scrapethissite", - "values": { - "wins": [ - "34", - "40", - "41", - "51", - "26", - "43", - "36", - "44", - "45", - "53", - "24", - "50", - "39", - "35", - "32", - "52" - ] - }, - "schema": { - "type": "object", - "properties": { - "wins": { - "type": "array", - "items": { - "type": "string" - }, - "description": "List the total wins for every hockey team.; target attribute: wins" - } - }, - "required": [ - "wins" - ] - }, - "input": "dataset/html/liveweb-ie-d871323a0aa8a4988cac.html", - "input_sha256": "d2f872c44cbcdc9a2ee7a82f0dcada1e09c5754547c38c78da91c232ddcd1f22", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "wins": { - "34": 2, - "40": 3, - "41": 2, - "51": 1, - "26": 1, - "43": 1, - "36": 2, - "44": 1, - "45": 3, - "53": 1, - "24": 1, - "50": 1, - "39": 2, - "35": 2, - "32": 1, - "52": 1 - } - }, - "original_reference": { - "wins": [ - "34", - "40", - "41", - "40", - "51", - "26", - "43", - "36", - "44", - "36", - "45", - "53", - "41", - "24", - "34", - "45", - "50", - "39", - "35", - "39", - "45", - "40", - "35", - "32", - "52" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "d2f872c44cbcdc9a2ee7a82f0dcada1e09c5754547c38c78da91c232ddcd1f22", - "reference_sha256": "90ea24b5fad1fb8f7c4377b2f9073719a9ab12bde4f0ecb6a9ba3aa0c217278b", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:57Z", - "source_url": "https://www.scrapethissite.com/pages/forms/?page_num=20" - }, - "query": "List the total wins for every hockey team." - }, - { - "id": "liveweb-ie-20ee07e4aff104f3d299", - "url": "https://www.thecocktaildb.com/browse/letter/w", - "domain": "thecocktaildb", - "site": "thecocktaildb", - "values": { - "cocktail": [ - "Waikiki Beachcomber", - "Whiskey Sour", - "Whisky Mac", - "White Lady", - "White Russian", - "White Wine Sangria", - "Whitecap Margarita", - "Wine Cooler", - "Wine Punch", - "Winter Paloma", - "Winter Rita" - ] - }, - "schema": { - "type": "object", - "properties": { - "cocktail": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Fetch the list of every drink's name; target attribute: cocktail" - } - }, - "required": [ - "cocktail" - ] - }, - "input": "dataset/html/liveweb-ie-20ee07e4aff104f3d299.html", - "input_sha256": "2a23d9688f213cc18f6879e5f26dafe01f5a6b325a2bcc11b355d3e2139c6cf2", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "cocktail": { - "Waikiki Beachcomber": 1, - "Whiskey Sour": 1, - "Whisky Mac": 1, - "White Lady": 1, - "White Russian": 1, - "White Wine Sangria": 1, - "Whitecap Margarita": 1, - "Wine Cooler": 1, - "Wine Punch": 1, - "Winter Paloma": 1, - "Winter Rita": 1 - } - }, - "original_reference": { - "cocktail": [ - "Waikiki Beachcomber", - "Whiskey Sour", - "Whisky Mac", - "White Lady", - "White Russian", - "White Wine Sangria", - "Whitecap Margarita", - "Wine Cooler", - "Wine Punch", - "Winter Paloma", - "Winter Rita" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "2a23d9688f213cc18f6879e5f26dafe01f5a6b325a2bcc11b355d3e2139c6cf2", - "reference_sha256": "d31fb4d3a90fdce4834fe26b3c058de2d861a05a0883709b68d2835a2f01a867", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:54Z", - "source_url": "https://www.thecocktaildb.com/browse/letter/w" - }, - "query": "Fetch the list of every drink's name" - }, - { - "id": "liveweb-ie-aafad8fb30b1eda02157", - "url": "https://www.themealdb.com/browse/letter/k", - "domain": "themealdb", - "site": "themealdb", - "values": { - "meal_link": [ - "/meal/52769-kapsalon-recipe", - "/meal/52813-kentucky-fried-chicken-recipe", - "/meal/52820-katsu-chicken-curry-recipe", - "/meal/52859-key-lime-pie-recipe", - "/meal/52868-kidney-bean-curry-recipe", - "/meal/52887-kedgeree-recipe", - "/meal/52945-kung-pao-chicken-recipe", - "/meal/52946-kung-po-prawns-recipe", - "/meal/52971-kafteji-recipe", - "/meal/52974-keleya-zaara-recipe", - "/meal/52978-kumpir-recipe", - "/meal/53015-krispy-kreme-donut-recipe", - "/meal/53027-koshari-recipe" - ] - }, - "schema": { - "type": "object", - "properties": { - "meal_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "List every food with its detail link; target attribute: meal_link" - } - }, - "required": [ - "meal_link" - ] - }, - "input": "dataset/html/liveweb-ie-aafad8fb30b1eda02157.html", - "input_sha256": "8c6f59e48c2e513d4012c180b3c2a62171e3ca3bab05025c4bc184e1750396aa", - "assets": [], - "value_kinds": { - "meal_link": "url" - }, - "source_value_counts": { - "meal_link": { - "/meal/52769-kapsalon-recipe": 1, - "/meal/52813-kentucky-fried-chicken-recipe": 1, - "/meal/52820-katsu-chicken-curry-recipe": 1, - "/meal/52859-key-lime-pie-recipe": 1, - "/meal/52868-kidney-bean-curry-recipe": 1, - "/meal/52887-kedgeree-recipe": 1, - "/meal/52945-kung-pao-chicken-recipe": 1, - "/meal/52946-kung-po-prawns-recipe": 1, - "/meal/52971-kafteji-recipe": 1, - "/meal/52974-keleya-zaara-recipe": 1, - "/meal/52978-kumpir-recipe": 1, - "/meal/53015-krispy-kreme-donut-recipe": 1, - "/meal/53027-koshari-recipe": 1 - } - }, - "original_reference": { - "meal_link": [ - "/meal/52769-kapsalon-recipe", - "/meal/52813-kentucky-fried-chicken-recipe", - "/meal/52820-katsu-chicken-curry-recipe", - "/meal/52859-key-lime-pie-recipe", - "/meal/52868-kidney-bean-curry-recipe", - "/meal/52887-kedgeree-recipe", - 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], - "event_link": [ - "/event/1543910-tunisia-vs-france" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "f63af8715eee073212a4921a3be449c060a0ac904cabac327b070fe69951ac34", - "reference_sha256": "54b0b6958d740f65318f2849ef8f1eee7d3680566a89571ebfaa97120d8d01d0", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:47Z", - "source_url": "https://www.thesportsdb.com/event/1543910-tunisia-vs-france" - }, - "query": "Retrieve the fanart for this game and the link of the event's name." - }, - { - "id": "liveweb-ie-f7a436a39e7146ed448c", - "url": "https://arxiv.org", - "domain": "arxiv", - "site": "arxiv", - "values": { - "subject": [ - "Physics", - "Mathematics", - "Computer Science", - "Quantitative Biology", - "Quantitative Finance", - "Statistics", - "Electrical Engineering and Systems Science", - "Economics" - ] - }, - "schema": { - "type": "object", - "properties": { - "subject": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract all top-level subjects from the page; target attribute: subject" - } - }, - "required": [ - "subject" - ] - }, - "input": "dataset/html/liveweb-ie-f7a436a39e7146ed448c.html", - "input_sha256": "4d846ef3a843d9c8ea6a3fe4540f43b058de193e080425ae29b5f9b4a4d5baea", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "subject": { - "Physics": 1, - "Mathematics": 1, - "Computer Science": 1, - "Quantitative Biology": 1, - "Quantitative Finance": 1, - "Statistics": 1, - "Electrical Engineering and Systems Science": 1, - "Economics": 1 - } - }, - "original_reference": { - "subject": [ - "Physics", - "Mathematics", - "Computer Science", - "Quantitative Biology", - "Quantitative Finance", - "Statistics", - "Electrical Engineering and Systems Science", - "Economics" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "4d846ef3a843d9c8ea6a3fe4540f43b058de193e080425ae29b5f9b4a4d5baea", - 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"See America: A Celebration ...": 1, - "salt.": 1, - "Robin War": 1, - "Red Hood/Arsenal, Vol. 1: ...": 1, - "Rain Fish": 1, - "Quarter Life Poetry: Poems ...": 1, - "Pet Sematary": 1, - "Overload: How to Unplug, ...": 1, - "Once Was a Time": 1, - "Old School (Diary of ...": 1, - "No Dream Is Too ...": 1, - "Naruto (3-in-1 Edition), Vol. ...": 1 - }, - "stock_status": { - "In stock": 20 - } - }, - "original_reference": { - "title": [ - "Swell: A Year of ...", - "Superman Vol. 1: Before ...", - "Still Life with Bread ...", - "Steve Jobs", - "Sorting the Beef from ...", - "Someone Like You (The ...", - "So Cute It Hurts!!, ...", - "Shtum", - "See America: A Celebration ...", - "salt.", - "Robin War", - "Red Hood/Arsenal, Vol. 1: ...", - "Rain Fish", - "Quarter Life Poetry: Poems ...", - "Pet Sematary", - "Overload: How to Unplug, ...", - "Once Was a Time", - "Old School (Diary of ...", - "No Dream Is Too ...", - "Naruto (3-in-1 Edition), Vol. ..." - ], - "stock_status": [ - "In stock", - 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"vehicle_type": [ - "Small Cars", - "Sedans", - "Hatchbacks", - "Coupes", - "Sporty Cars", - "Luxury Cars", - "Wagons", - "SUVs", - "Pickups", - "Hybrid", - "Plug-in Hybrid", - "All-Electric", - "Diesel", - "Flex-Fuel", - "Fuel Cell" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "230badb630063834750888ca2fb73ea1896f61df4cda4aa98a73a1863677a369", - "reference_sha256": "dd70480992f95d31899dbb19be79bfc53962f98b4e99cbfd2e56f58d35e8e892", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:42Z", - "source_url": "https://www.fueleconomy.gov/feg/findacar.shtml" - }, - "query": "What are the type names associated with these vehicles?" - }, - { - "id": "liveweb-ie-de05f5fc4b3b08b51bbd", - "url": "https://huggingface.co/papers/2408.14805", - "domain": "huggingface", - "site": "huggingface", - "values": { - "model_citation_count": [ - "0" - ] - }, - "schema": { - "type": "object", - "properties": { - "model_citation_count": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get the number of models referencing this paper; target attribute: model_citation_count" - } - }, - "required": [ - "model_citation_count" - ] - }, - "input": "dataset/html/liveweb-ie-de05f5fc4b3b08b51bbd.html", - "input_sha256": "0d1cef54f36b3b3e3e12c12ef85ac63afb280cb2bed7929bae3687cb2d848730", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "model_citation_count": { - "0": 1 - } - }, - "original_reference": { - "model_citation_count": [ - "0" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "0d1cef54f36b3b3e3e12c12ef85ac63afb280cb2bed7929bae3687cb2d848730", - "reference_sha256": "b6e75d05d71ca6bb6bc41a06f051e50aef5524cf0c3fe91b54115db110e9fe7a", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:37Z", - "source_url": "https://huggingface.co/papers/2408.14805" - }, - "query": "Get the number of models referencing this paper" - }, - { - "id": "liveweb-ie-c0422174f673d914f87f", - "url": "https://iclr.cc/virtual/2025/poster/28655", - "domain": "iclr", - "site": "iclr", - "values": { - "title": [ - "Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the title of the research paper.; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-c0422174f673d914f87f.html", - "input_sha256": "a2c372f674f48ef8748e8348336474e80c6dd065b4f7a080d34b67af04e05c09", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering": 1 - } - }, - "original_reference": { - "title": [ - "Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "a2c372f674f48ef8748e8348336474e80c6dd065b4f7a080d34b67af04e05c09", - "reference_sha256": "4e5d83ccd53695ea2c995291671757aee72ddd86df5b03d8cef5b168c6eef4b7", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:09Z", - "source_url": "https://iclr.cc/virtual/2025/poster/28655" - }, - "query": "Retrieve the title of the research paper." - }, - { - "id": "liveweb-ie-5c09c3637a6bea84021d", - "url": "https://icml.cc/virtual/2025/poster/45762", - "domain": "icml", - "site": "icml", - "values": { - "title": [ - "Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Fetch the title of this paper.; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-5c09c3637a6bea84021d.html", - "input_sha256": "dd5f7779c5501106b17af6023617412c7c5c8bebc9430ca5b033da738f0520f0", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games": 1 - } - }, - "original_reference": { - "title": [ - "Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "dd5f7779c5501106b17af6023617412c7c5c8bebc9430ca5b033da738f0520f0", - "reference_sha256": "576dc525addff825252c8168999ff12786349f63a465eb9b58c7e7823b7ebd68", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - 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"source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:15Z", - "source_url": "https://neurips.cc/virtual/2024/poster/97503" - }, - "query": "Get the paper's title" - }, - { - "id": "liveweb-ie-684d2f9c63e98b10bfe4", - "url": "http://quotes.toscrape.com/page/4/", - "domain": "quotestoscrape", - "site": "quotestoscrape", - "values": { - "tag_link": [ - "/tag/learning/page/1/", - "/tag/reading/page/1/", - "/tag/seuss/page/1/", - "/tag/dumbledore/page/1/", - "/tag/friendship/page/1/", - "/tag/misattributed-to-mother-teresa/page/1/", - "/tag/paraphrased/page/1/", - "/tag/death/page/1/", - "/tag/inspirational/page/1/", - "/tag/chocolate/page/1/", - "/tag/food/page/1/", - "/tag/humor/page/1/", - "/tag/misattributed-to-c-s-lewis/page/1/", - "/tag/knowledge/page/1/", - "/tag/understanding/page/1/", - "/tag/wisdom/page/1/", - "/tag/books/page/1/", - "/tag/library/page/1/" - ] - }, - "schema": { - "type": "object", - "properties": { - "tag_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract all tag links of all quotes; target attribute: tag_link" - } - }, - "required": [ - "tag_link" - ] - }, - "input": "dataset/html/liveweb-ie-684d2f9c63e98b10bfe4.html", - "input_sha256": "0547da80833b64e02ff0abfe815fe987341f5ea6220079cb0a5c3a10616dec70", - "assets": [], - "value_kinds": { - "tag_link": "url" - }, - "source_value_counts": { - "tag_link": { - "/tag/learning/page/1/": 2, - "/tag/reading/page/1/": 2, - "/tag/seuss/page/1/": 1, - "/tag/dumbledore/page/1/": 1, - "/tag/friendship/page/1/": 1, - "/tag/misattributed-to-mother-teresa/page/1/": 1, - "/tag/paraphrased/page/1/": 1, - "/tag/death/page/1/": 1, - "/tag/inspirational/page/1/": 2, - "/tag/chocolate/page/1/": 1, - "/tag/food/page/1/": 1, - "/tag/humor/page/1/": 1, - "/tag/misattributed-to-c-s-lewis/page/1/": 1, - "/tag/knowledge/page/1/": 1, - "/tag/understanding/page/1/": 1, - "/tag/wisdom/page/1/": 1, - "/tag/books/page/1/": 1, - "/tag/library/page/1/": 1 - } - }, - "original_reference": { - "tag_link": [ - "/tag/learning/page/1/", - "/tag/reading/page/1/", - "/tag/seuss/page/1/", - "/tag/dumbledore/page/1/", - "/tag/friendship/page/1/", - "/tag/misattributed-to-mother-teresa/page/1/", - "/tag/paraphrased/page/1/", - "/tag/death/page/1/", - "/tag/inspirational/page/1/", - "/tag/chocolate/page/1/", - "/tag/food/page/1/", - "/tag/humor/page/1/", - "/tag/misattributed-to-c-s-lewis/page/1/", - "/tag/reading/page/1/", - "/tag/knowledge/page/1/", - "/tag/learning/page/1/", - "/tag/understanding/page/1/", - "/tag/wisdom/page/1/", - "/tag/books/page/1/", - "/tag/library/page/1/", - "/tag/inspirational/page/1/" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "0547da80833b64e02ff0abfe815fe987341f5ea6220079cb0a5c3a10616dec70", - "reference_sha256": "59fb55dbef147dad1df800fcfe34b3588c3e52b988c7d63dd96ce896e93c5482", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:08Z", - "source_url": "http://quotes.toscrape.com/page/4/" - }, - "query": "Extract all tag links of all quotes" - }, - { - "id": "liveweb-ie-29b489d76795e55dc507", - "url": "https://sandbox.oxylabs.io/products?page=87", - "domain": "sandboxoxlabio", - "site": "sandboxoxlabio", - "values": { - "title": [ - "Joy Ride Turbo", - "Hotel Sowls", - "Dreamfall Chapters", - "Save me Mr Tako: Tasukete Tako-San", - "Culpa Innata", - "Heroes of Might and Magic V: Hammers of Fate", - "Batman Begins", - "Potata: Fairy Flower", - "Windscape", - "Earthlock: Festival of Magic", - "Foul Play", - "The Sims 4: Outdoor Retreat", - "Sparkle 2", - "True Swing Golf", - "Transformers: Decepticons", - "Geist", - "The Sims 4", - "Tales of the World: Radiant Mythology", - "DreamWorks Madagascar", - "Red Faction: Guerrilla - Demons of the Badlands", - "Blood Omen 2", - "City Life 2008 Edition", - "EQQO", - "Dragon Ball Z: Supersonic Warriors 2", - "Nights of Azure 2: Bride of the New Moon", - "Quantum Break", - "Time Crisis: Crisis Zone", - "MediEvil: Resurrection", - "BlazeRush", - "Kirby Fighters Deluxe", - "Nibiru: Age of Secrets", - "Black Rock Shooter: The Game" - ], - "image": [ - "/assets/driving.svg", - "/assets/adventure.svg", - "/assets/fantasy.svg", - "/assets/action.svg", - "/assets/strategy.svg", - "/assets/action-adventure.svg", - "/assets/role-playing.svg", - "/assets/simulation.svg", - "/assets/sports.svg", - "/assets/general.svg" - ], - "link": [ - "/products/2753", - "/products/2754", - "/products/2755", - "/products/2756", - "/products/2757", - "/products/2758", - "/products/2759", - "/products/2760", - "/products/2761", - "/products/2762", - "/products/2763", - "/products/2764", - "/products/2765", - "/products/2766", - "/products/2767", - "/products/2768", - "/products/2769", - "/products/2770", - "/products/2771", - "/products/2772", - "/products/2773", - "/products/2774", - "/products/2775", - "/products/2776", - "/products/2777", - "/products/2778", - "/products/2779", - "/products/2780", - "/products/2781", - "/products/2782", - "/products/2783", - "/products/2784" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Collect every game title along with its image and link; target attribute: title" - }, - "image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Collect every game title along with its image and link; target attribute: image" - }, - "link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Collect every game title along with its image and link; target attribute: link" - } - }, - "required": [ - "title", - "image", - "link" - ] - }, - "input": "dataset/html/liveweb-ie-29b489d76795e55dc507.html", - "input_sha256": "d99f6d5f71376dfb680c9048ac4187ef5b17b0b130b1749666d92452aad27875", - "assets": [], - "value_kinds": { - "image": "url", - "link": "url" - }, - "source_value_counts": { - "title": { - "Joy Ride Turbo": 1, - "Hotel Sowls": 1, - "Dreamfall Chapters": 1, - "Save me Mr Tako: Tasukete Tako-San": 1, - "Culpa Innata": 1, - "Heroes of Might and Magic V: Hammers of Fate": 1, - "Batman Begins": 1, - "Potata: Fairy Flower": 1, - "Windscape": 1, - "Earthlock: Festival of Magic": 1, - "Foul Play": 1, - "The Sims 4: Outdoor Retreat": 1, - "Sparkle 2": 1, - "True Swing Golf": 1, - "Transformers: Decepticons": 1, - "Geist": 1, - "The Sims 4": 1, - "Tales of the World: Radiant Mythology": 1, - "DreamWorks Madagascar": 1, - "Red Faction: Guerrilla - Demons of the Badlands": 1, - "Blood Omen 2": 1, - "City Life 2008 Edition": 1, - "EQQO": 1, - "Dragon Ball Z: Supersonic Warriors 2": 1, - "Nights of Azure 2: Bride of the New Moon": 1, - "Quantum Break": 1, - "Time Crisis: Crisis Zone": 1, - "MediEvil: Resurrection": 1, - "BlazeRush": 1, - "Kirby Fighters Deluxe": 1, - "Nibiru: Age of Secrets": 1, - "Black Rock Shooter: The Game": 1 - }, - "image": { - "/assets/driving.svg": 2, - "/assets/adventure.svg": 3, - "/assets/fantasy.svg": 1, - "/assets/action.svg": 14, - "/assets/strategy.svg": 2, - "/assets/action-adventure.svg": 4, - "/assets/role-playing.svg": 2, - "/assets/simulation.svg": 2, - "/assets/sports.svg": 1, - "/assets/general.svg": 1 - }, - "link": { - "/products/2753": 1, - "/products/2754": 1, - "/products/2755": 1, - "/products/2756": 1, - "/products/2757": 1, - "/products/2758": 1, - "/products/2759": 1, - "/products/2760": 1, - "/products/2761": 1, - "/products/2762": 1, - "/products/2763": 1, - "/products/2764": 1, - "/products/2765": 1, - "/products/2766": 1, - "/products/2767": 1, - "/products/2768": 1, - "/products/2769": 1, - "/products/2770": 1, - "/products/2771": 1, - "/products/2772": 1, - "/products/2773": 1, - "/products/2774": 1, - "/products/2775": 1, - "/products/2776": 1, - "/products/2777": 1, - "/products/2778": 1, - "/products/2779": 1, - "/products/2780": 1, - "/products/2781": 1, - "/products/2782": 1, - "/products/2783": 1, - "/products/2784": 1 - } - }, - "original_reference": { - "title": [ - "Joy Ride Turbo", - "Hotel Sowls", - "Dreamfall Chapters", - "Save me Mr Tako: Tasukete Tako-San", - "Culpa Innata", - "Heroes of Might and Magic V: Hammers of Fate", - "Batman Begins", - "Potata: Fairy Flower", - "Windscape", - "Earthlock: Festival of Magic", - "Foul Play", - "The Sims 4: Outdoor Retreat", - "Sparkle 2", - "True Swing Golf", - "Transformers: Decepticons", - "Geist", - "The Sims 4", - "Tales of the World: Radiant Mythology", - "DreamWorks Madagascar", - "Red Faction: Guerrilla - Demons of the Badlands", - "Blood Omen 2", - "City Life 2008 Edition", - "EQQO", - "Dragon Ball Z: Supersonic Warriors 2", - "Nights of Azure 2: Bride of the New Moon", - "Quantum Break", - "Time Crisis: Crisis Zone", - "MediEvil: Resurrection", - "BlazeRush", - "Kirby Fighters Deluxe", - "Nibiru: Age of Secrets", - "Black Rock Shooter: The Game" - ], - "image": [ - "/assets/driving.svg", - "/assets/adventure.svg", - "/assets/fantasy.svg", - "/assets/action.svg", - "/assets/adventure.svg", - "/assets/strategy.svg", - "/assets/action.svg", - "/assets/action.svg", - "/assets/action-adventure.svg", - "/assets/role-playing.svg", - "/assets/action.svg", - "/assets/simulation.svg", - "/assets/action.svg", - "/assets/sports.svg", - "/assets/action-adventure.svg", - "/assets/action.svg", - "/assets/simulation.svg", - "/assets/role-playing.svg", - "/assets/action.svg", - "/assets/action.svg", - "/assets/action-adventure.svg", - "/assets/strategy.svg", - "/assets/general.svg", - "/assets/action.svg", - "/assets/action.svg", - "/assets/action.svg", - "/assets/action.svg", - "/assets/action-adventure.svg", - "/assets/driving.svg", - "/assets/action.svg", - "/assets/adventure.svg", - "/assets/action.svg" - ], - "link": [ - "/products/2753", - "/products/2754", - "/products/2755", - "/products/2756", - "/products/2757", - "/products/2758", - "/products/2759", - "/products/2760", - "/products/2761", - "/products/2762", - "/products/2763", - "/products/2764", - "/products/2765", - "/products/2766", - "/products/2767", - "/products/2768", - "/products/2769", - "/products/2770", - "/products/2771", - "/products/2772", - "/products/2773", - "/products/2774", - "/products/2775", - "/products/2776", - "/products/2777", - "/products/2778", - "/products/2779", - "/products/2780", - "/products/2781", - "/products/2782", - "/products/2783", - "/products/2784" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "d99f6d5f71376dfb680c9048ac4187ef5b17b0b130b1749666d92452aad27875", - "reference_sha256": "36661d8553906a818b11b9d573153fe15da45b3e5a7d3265b97d9b9157c33e9d", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:04Z", - "source_url": "https://sandbox.oxylabs.io/products?page=87" - }, - "query": "Collect every game title along with its image and link" - }, - { - "id": "liveweb-ie-fb2d2fec81d68e45a6a2", - "url": "https://www.scrapethissite.com/pages/forms/?page_num=1", - "domain": "scrapethissite", - "site": "scrapethissite", - "values": { - "year": [ - "1990", - "1991" - ] - }, - "schema": { - "type": "object", - "properties": { - "year": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Return the whole set of years; target attribute: year" - } - }, - "required": [ - "year" - ] - }, - "input": "dataset/html/liveweb-ie-fb2d2fec81d68e45a6a2.html", - "input_sha256": "dcd1585908f163306cd659a7fc86d7fafbd14a6dc78f903e18e1c7680fe5a2c0", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "year": { - "1990": 21, - "1991": 4 - } - }, - "original_reference": { - "year": [ - "1990", - "1990", - "1990", - "1990", - "1990", - "1990", - "1990", - "1990", - "1990", - "1990", - "1990", - "1990", - "1990", - "1990", - "1990", - "1990", - "1990", - "1990", - "1990", - "1990", - "1990", - "1991", - "1991", - "1991", - "1991" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "dcd1585908f163306cd659a7fc86d7fafbd14a6dc78f903e18e1c7680fe5a2c0", - "reference_sha256": "d34db930a93e9a1df2b5f9b6d910c9d5dd1e0c7987337e04db0753435411f91c", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:58Z", - "source_url": "https://www.scrapethissite.com/pages/forms/?page_num=1" - }, - "query": "Return the whole set of years" - }, - { - "id": "liveweb-ie-b3e6307efd3ad2c94ded", - "url": "https://www.thecocktaildb.com/drink/11368-flying-dutchman", - "domain": "thecocktaildb", - "site": "thecocktaildb", - "values": { - "cocktail": [ - "Flying Dutchman" - ] - }, - "schema": { - "type": "object", - "properties": { - "cocktail": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the name of the drink; target attribute: cocktail" - } - }, - "required": [ - "cocktail" - ] - }, - "input": "dataset/html/liveweb-ie-b3e6307efd3ad2c94ded.html", - "input_sha256": "bb9ed87728ac1304777ece229d63bce937276ad2a18ed7769ab527512620ca0c", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "cocktail": { - "Flying Dutchman": 1 - } - }, - "original_reference": { - "cocktail": [ - "Flying Dutchman" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "bb9ed87728ac1304777ece229d63bce937276ad2a18ed7769ab527512620ca0c", - "reference_sha256": "a2eb3eb1c7205cf9ee9522000ddb18f80ae72ceaeaafb4fb5dec332e6c081abe", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:54Z", - "source_url": "https://www.thecocktaildb.com/drink/11368-flying-dutchman" - }, - "query": "Extract the name of the drink" - }, - { - "id": "liveweb-ie-6bb3cde44ae2f4170174", - "url": "https://www.themealdb.com/meal/53086-migas-recipe", - "domain": "themealdb", - "site": "themealdb", - "values": { - "ingredient_link": [ - "/ingredient/35-bread", - "/ingredient/224-olive-oil", - "/ingredient/149-garlic", - "/ingredient/4-pork" - ], - "ingredient": [ - "1 large Bread", - "1 1/2 L Olive Oil", - "Half Garlic", - "1 Handfull Pork" - ], - "ingredient_image": [ - "../images/ingredients/Bread-medium.png", - "../images/ingredients/Olive_Oil-medium.png", - "../images/ingredients/Garlic-medium.png", - "../images/ingredients/Pork-medium.png" - ] - }, - "schema": { - "type": "object", - "properties": { - "ingredient_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract all links to detailed information of the food's ingredients, please provide the ingredient names used in this food, and give me all ingredient images of the food.; target attribute: ingredient_link" - }, - "ingredient": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract all links to detailed information of the food's ingredients, please provide the ingredient names used in this food, and give me all ingredient images of the food.; target attribute: ingredient" - }, - "ingredient_image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract all links to detailed information of the food's ingredients, please provide the ingredient names used in this food, and give me all ingredient images of the food.; target attribute: ingredient_image" - } - }, - "required": [ - "ingredient_link", - "ingredient", - "ingredient_image" - ] - }, - "input": "dataset/html/liveweb-ie-6bb3cde44ae2f4170174.html", - "input_sha256": "990cadce40374692ed30df8a314cf7ef333eeaf67671841c3e9543c5ade669f4", - "assets": [], - "value_kinds": { - "ingredient_link": "url", - "ingredient_image": "url" - }, - "source_value_counts": { - "ingredient_link": { - "/ingredient/35-bread": 1, - "/ingredient/224-olive-oil": 1, - "/ingredient/149-garlic": 1, - "/ingredient/4-pork": 1 - }, - "ingredient": { - "1 large Bread": 1, - "1 1/2 L Olive Oil": 1, - "Half Garlic": 1, - "1 Handfull Pork": 1 - }, - "ingredient_image": { - "../images/ingredients/Bread-medium.png": 1, - "../images/ingredients/Olive_Oil-medium.png": 1, - "../images/ingredients/Garlic-medium.png": 1, - "../images/ingredients/Pork-medium.png": 1 - } - }, - "original_reference": { - "ingredient_link": [ - "/ingredient/35-bread", - "/ingredient/224-olive-oil", - "/ingredient/149-garlic", - "/ingredient/4-pork" - ], - "ingredient": [ - "1 large Bread", - "1 1/2 L Olive Oil", - "Half Garlic", - "1 Handfull Pork" - ], - "ingredient_image": [ - "../images/ingredients/Bread-medium.png", - "../images/ingredients/Olive_Oil-medium.png", - "../images/ingredients/Garlic-medium.png", - "../images/ingredients/Pork-medium.png" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "990cadce40374692ed30df8a314cf7ef333eeaf67671841c3e9543c5ade669f4", - "reference_sha256": "b799f1f06b4c05d85b82d7275be2cb61e91fde40d8c0a868caba3f185920975b", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [ - { - "field": "ingredient", - "original": "1 1/2 L Olive Oil", - "accepted": "1 1/2 L Olive Oil", - "source_sha256": "990cadce40374692ed30df8a314cf7ef333eeaf67671841c3e9543c5ade669f4", - "reason": "whitespace and source-supported HTML entity decoding only" - } - ], - "observed_at": "2026-11-06T10:07:50Z", - "source_url": "https://www.themealdb.com/meal/53086-migas-recipe" - }, - "query": "Extract all links to detailed information of the food's ingredients, please provide the ingredient names used in this food, and give me all ingredient images of the food." - }, - { - "id": "liveweb-ie-b558160b75b0373f38ee", - "url": "https://www.thesportsdb.com/player/34199300-amandine-henry", - "domain": "thesportsdb", - "site": "thesportsdb", - "values": { - "profile_link": [ - "/player/34199300-amandine-henry" - ], - "thumb_image": [ - "https://r2.thesportsdb.com/images/media/player/thumb/prtylw1654898160.jpg/medium" - ] - }, - "schema": { - "type": "object", - "properties": { - "profile_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the profile link of the player along with their thumbnail image.; target attribute: profile_link" - }, - "thumb_image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the profile link of the player along with their thumbnail image.; target attribute: thumb_image" - } - }, - "required": [ - "profile_link", - "thumb_image" - ] - }, - "input": "dataset/html/liveweb-ie-b558160b75b0373f38ee.html", - "input_sha256": "6f48a7e255fbac201837f7c72a70aaf1f11c08a05cc3741b26c7bc3c08f99e91", - "assets": [], - "value_kinds": { - "profile_link": "url", - "thumb_image": "url" - }, - "source_value_counts": { - "profile_link": { - "/player/34199300-amandine-henry": 1 - }, - "thumb_image": { - "https://r2.thesportsdb.com/images/media/player/thumb/prtylw1654898160.jpg/medium": 1 - } - }, - "original_reference": { - "profile_link": [ - "/player/34199300-amandine-henry" - ], - "thumb_image": [ - "https://r2.thesportsdb.com/images/media/player/thumb/prtylw1654898160.jpg/medium" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "6f48a7e255fbac201837f7c72a70aaf1f11c08a05cc3741b26c7bc3c08f99e91", - "reference_sha256": "ce62e5cbbd1ceb49f4ea6d0c96214ced32af8430d17d3cb1d758fec3ac4a9bbd", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:47Z", - "source_url": "https://www.thesportsdb.com/player/34199300-amandine-henry" - }, - "query": "Retrieve the profile link of the player along with their thumbnail image." - }, - { - "id": "liveweb-ie-11738e5eac9e179597e1", - "url": "https://arxiv.org/abs/2401.03523", - "domain": "arxiv", - "site": "arxiv", - "values": { - "title": [ - "Characterizing Physical Memory Fragmentation" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the title of the paper; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-11738e5eac9e179597e1.html", - "input_sha256": "2ebad214ac485ae04cbe059aff0a82a5832738452382a7547c3fe7c17564e29a", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Characterizing Physical Memory Fragmentation": 1 - } - }, - "original_reference": { - "title": [ - "Characterizing Physical Memory Fragmentation" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "2ebad214ac485ae04cbe059aff0a82a5832738452382a7547c3fe7c17564e29a", - "reference_sha256": "43c966eaa07ca523e007fa17aabe2a35ce6c0e0adc1478946444aae40c89de7d", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:05Z", - "source_url": "https://arxiv.org/abs/2401.03523" - }, - "query": "Extract the title of the paper" - }, - { - "id": "liveweb-ie-2392f0a746b82a448b7a", - "url": "https://books.toscrape.com/catalogue/saga-volume-5-saga-collected-editions-5_923/index.html", - "domain": "booktoscrape", - "site": "booktoscrape", - "values": { - "title": [ - "Saga, Volume 5 (Saga (Collected Editions) #5)" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the title of the book; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-2392f0a746b82a448b7a.html", - "input_sha256": "dfba72707203ec96122e9e4bcd063cbfda96bc635f5121f2338522d06fc98822", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Saga, Volume 5 (Saga (Collected Editions) #5)": 1 - } - }, - "original_reference": { - "title": [ - "Saga, Volume 5 (Saga (Collected Editions) #5)" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "dfba72707203ec96122e9e4bcd063cbfda96bc635f5121f2338522d06fc98822", - "reference_sha256": "303cb4f1a36319bdfcc4421a4bf6d4014e99fc699c8384930248f45cf87bb05c", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:13Z", - "source_url": "https://books.toscrape.com/catalogue/saga-volume-5-saga-collected-editions-5_923/index.html" - }, - "query": "Extract the title of the book" - }, - { - "id": "liveweb-ie-98a1b8d09ecbb40d6aaf", - "url": "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47016", - "domain": "fueleconomy", - "site": "fueleconomy", - "values": { - "vehicle": [ - "2024 Porsche 911 GT3 Touring" - ], - "vehicle_image": [ - "https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_GT3_Touring.jpg" - ], - "tank_size": [ - "16.9 gallons" - ] - }, - "schema": { - "type": "object", - "properties": { - "vehicle": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get the vehicle's full name along with its photo and tank size; target attribute: vehicle" - }, - "vehicle_image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get the vehicle's full name along with its photo and tank size; target attribute: vehicle_image" - }, - "tank_size": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get the vehicle's full name along with its photo and tank size; target attribute: tank_size" - } - }, - "required": [ - "vehicle", - "vehicle_image", - "tank_size" - ] - }, - "input": "dataset/html/liveweb-ie-98a1b8d09ecbb40d6aaf.html", - "input_sha256": "b265c9756e7cbc2a13a52a7067fb9345eb425e987b49493de5ba5330fa69237e", - "assets": [], - "value_kinds": { - "vehicle_image": "url" - }, - "source_value_counts": { - "vehicle": { - "2024 Porsche 911 GT3 Touring": 1 - }, - "vehicle_image": { - "https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_GT3_Touring.jpg": 1 - }, - "tank_size": { - "16.9 gallons": 1 - } - }, - "original_reference": { - "vehicle": [ - "2024 Porsche 911 GT3 Touring" - ], - "vehicle_image": [ - "https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_GT3_Touring.jpg" - ], - "tank_size": [ - "16.9 gallons" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "b265c9756e7cbc2a13a52a7067fb9345eb425e987b49493de5ba5330fa69237e", - "reference_sha256": "f9ffec58cf26401e3f3a86477b0035703ff7aafd1a0f80bf7691930d04f68db0", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:42Z", - "source_url": "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47016" - }, - "query": "Get the vehicle's full name along with its photo and tank size" - }, - { - "id": "liveweb-ie-cd6355a947941c4a1a9d", - "url": "https://huggingface.co/papers/date/2024-07-11", - "domain": "huggingface", - "site": "huggingface", - "values": { - "paper_link": [ - "/papers/2407.07726", - "/papers/2407.07304", - "/papers/2407.07895", - "/papers/2407.07860", - "/papers/2407.07464", - "/papers/2407.07667", - "/papers/2407.08674", - "/papers/2302.06555", - "/papers/2407.07315", - "/papers/2407.07565", - "/papers/2407.05530", - "/papers/2407.05528", - "/papers/2407.07788", - "/papers/2407.06188" - ] - }, - "schema": { - "type": "object", - "properties": { - "paper_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Please extract all paper links.; target attribute: paper_link" - } - }, - "required": [ - "paper_link" - ] - }, - "input": "dataset/html/liveweb-ie-cd6355a947941c4a1a9d.html", - "input_sha256": "aa932aee7e6352fe3c435d07360e7a6563658553a614c4f3978938f82b33da4f", - "assets": [], - "value_kinds": { - "paper_link": "url" - }, - "source_value_counts": { - "paper_link": { - "/papers/2407.07726": 1, - "/papers/2407.07304": 1, - "/papers/2407.07895": 1, - "/papers/2407.07860": 1, - "/papers/2407.07464": 1, - "/papers/2407.07667": 1, - "/papers/2407.08674": 1, - "/papers/2302.06555": 1, - "/papers/2407.07315": 1, - "/papers/2407.07565": 1, - "/papers/2407.05530": 1, - "/papers/2407.05528": 1, - "/papers/2407.07788": 1, - "/papers/2407.06188": 1 - } - }, - "original_reference": { - "paper_link": [ - "/papers/2407.07726", - "/papers/2407.07304", - "/papers/2407.07895", - "/papers/2407.07860", - "/papers/2407.07464", - "/papers/2407.07667", - "/papers/2407.08674", - "/papers/2302.06555", - "/papers/2407.07315", - "/papers/2407.07565", - "/papers/2407.05530", - "/papers/2407.05528", - "/papers/2407.07788", - "/papers/2407.06188" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "aa932aee7e6352fe3c435d07360e7a6563658553a614c4f3978938f82b33da4f", - "reference_sha256": "a115ebe6f550605abbe1b701fa0143a0ef92150617c10c2d420cc41e564b8d8f", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:37Z", - "source_url": "https://huggingface.co/papers/date/2024-07-11" - }, - "query": "Please extract all paper links." - }, - { - "id": "liveweb-ie-ed89301ca4696702d952", - "url": "https://iclr.cc/virtual/2025/papers.html?filter=title&search=document", - "domain": "iclr", - "site": "iclr", - "values": { - "title": [ - "Enhancing Document Understanding with Group Position Embedding: A Novel Approach to Incorporate Layout Information", - "Contextual Document Embeddings", - "BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks", - "SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding", - "NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens", - "DocMIA: Document-Level Membership Inference Attacks against DocVQA Models", - "DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory", - "TeaserGen: Generating Teasers for Long Documentaries", - "Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents", - "VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents", - "Graph-based Document Structure Analysis", - "ColPali: Efficient Document Retrieval with Vision Language Models" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract all paper titles.; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-ed89301ca4696702d952.html", - "input_sha256": "20b439f1ffeecc1e2efd828b3698d719caf85d851fe5bcbeb9cfba66554485a1", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Enhancing Document Understanding with Group Position Embedding: A Novel Approach to Incorporate Layout Information": 1, - "Contextual Document Embeddings": 1, - "BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks": 1, - "SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding": 1, - "NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens": 1, - "DocMIA: Document-Level Membership Inference Attacks against DocVQA Models": 1, - "DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory": 1, - "TeaserGen: Generating Teasers for Long Documentaries": 1, - "Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents": 1, - "VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents": 1, - "Graph-based Document Structure Analysis": 1, - "ColPali: Efficient Document Retrieval with Vision Language Models": 1 - } - }, - "original_reference": { - "title": [ - "Enhancing Document Understanding with Group Position Embedding: A Novel Approach to Incorporate Layout Information", - "Contextual Document Embeddings", - "BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks", - "SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding", - "NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens", - "DocMIA: Document-Level Membership Inference Attacks against DocVQA Models", - "DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory", - "TeaserGen: Generating Teasers for Long Documentaries", - "Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents", - "VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents", - "Graph-based Document Structure Analysis", - "ColPali: Efficient Document Retrieval with Vision Language Models" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "20b439f1ffeecc1e2efd828b3698d719caf85d851fe5bcbeb9cfba66554485a1", - "reference_sha256": "052c944c99bf43c9009601754ce741b8b3e1a0bcb037ecfda3ca33cccc853609", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [ - { - "field": "title", - "original": "SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding", - "accepted": "SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding", - "source_sha256": "20b439f1ffeecc1e2efd828b3698d719caf85d851fe5bcbeb9cfba66554485a1", - "reason": "whitespace and source-supported HTML entity decoding only" - } - ], - "observed_at": "2026-11-06T10:07:09Z", - "source_url": "https://iclr.cc/virtual/2025/papers.html?filter=title&search=document" - }, - "query": "Extract all paper titles." - }, - { - "id": "liveweb-ie-ad9cf95af9e3fe713a41", - "url": "https://icml.cc/virtual/2025/papers.html?filter=title&search=editing", - "domain": "icml", - "site": "icml", - "values": { - "title": [ - "Joint Localization and Activation Editing for Low-Resource Fine-Tuning", - "FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields", - "ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding", - "Towards Lifelong Model Editing via Simulating Ideal Editor", - "Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing", - "Taming Rectified Flow for Inversion and Editing", - "BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing", - "Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization", - "DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion Model", - "LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos", - "Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing", - "CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing", - "FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing", - "Rethinking Score Distilling Sampling for 3D Editing and Generation", - "Resolving Lexical Bias in Model Editing", - "WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs", - "Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing", - "Reinforced Lifelong Editing for Language Models", - "Position: Editing Large Language Models Poses Serious Safety Risks", - "EditLord: Learning Code Transformation Rules for Code Editing", - "Balancing Preservation and Modification: A Region and Semantic Aware Metric for Instruction-Based Image Editing" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve every paper title; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-ad9cf95af9e3fe713a41.html", - "input_sha256": "50f266fe3e3573ef0681f5e13811f26ead959457d9c88bce4c1ebae6d93a2f59", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Joint Localization and Activation Editing for Low-Resource Fine-Tuning": 1, - "FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields": 1, - "ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding": 1, - "Towards Lifelong Model Editing via Simulating Ideal Editor": 1, - "Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing": 1, - "Taming Rectified Flow for Inversion and Editing": 1, - "BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing": 1, - "Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization": 1, - "DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion Model": 1, - "LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos": 1, - "Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing": 1, - "CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing": 1, - "FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing": 1, - "Rethinking Score Distilling Sampling for 3D Editing and Generation": 1, - "Resolving Lexical Bias in Model Editing": 1, - "WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs": 1, - "Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing": 1, - "Reinforced Lifelong Editing for Language Models": 1, - "Position: Editing Large Language Models Poses Serious Safety Risks": 1, - "EditLord: Learning Code Transformation Rules for Code Editing": 1, - "Balancing Preservation and Modification: A Region and Semantic Aware Metric for Instruction-Based Image Editing": 1 - } - }, - "original_reference": { - "title": [ - "Joint Localization and Activation Editing for Low-Resource Fine-Tuning", - "FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields", - "ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding", - "Towards Lifelong Model Editing via Simulating Ideal Editor", - "Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing", - "Taming Rectified Flow for Inversion and Editing", - "BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing", - "Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization", - "DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion Model", - "LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos", - "Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing", - "CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing", - "FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing", - "Rethinking Score Distilling Sampling for 3D Editing and Generation", - "Resolving Lexical Bias in Model Editing", - "WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs", - "Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing", - "Reinforced Lifelong Editing for Language Models", - "Position: Editing Large Language Models Poses Serious Safety Risks", - "EditLord: Learning Code Transformation Rules for Code Editing", - "Balancing Preservation and Modification: A Region and Semantic Aware Metric for Instruction-Based Image Editing" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "50f266fe3e3573ef0681f5e13811f26ead959457d9c88bce4c1ebae6d93a2f59", - "reference_sha256": "ace3f9e19b24ab497303f7ec5d1d18437d0465b493959a60789f5cf93451c383", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:23Z", - "source_url": "https://icml.cc/virtual/2025/papers.html?filter=title&search=editing" - }, - "query": "Retrieve every paper title" - }, - { - "id": "liveweb-ie-0f4a4184f4b62fb58b92", - "url": "https://marinespecies.org/photogallery.php?album=2509&pic=113267", - "domain": "marinespecies", - "site": "marinespecies", - "values": { - "photo_title": [ - "Echiurus echiurus (Pallas, 1766)" - ], - "species_link": [ - "photogallery.php?album=2509" - ] - }, - "schema": { - "type": "object", - "properties": { - "photo_title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the title of the photo and the link of this species.; target attribute: photo_title" - }, - "species_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the title of the photo and the link of this species.; target attribute: species_link" - } - }, - "required": [ - "photo_title", - "species_link" - ] - }, - "input": "dataset/html/liveweb-ie-0f4a4184f4b62fb58b92.html", - "input_sha256": "02acbf366084b736f27824edfd6c028e132c6a1e765459db3bdd532e1776928e", - "assets": [], - "value_kinds": { - "species_link": "url" - }, - "source_value_counts": { - "photo_title": { - "Echiurus echiurus (Pallas, 1766)": 1 - }, - "species_link": { - "photogallery.php?album=2509": 1 - } - }, - "original_reference": { - "photo_title": [ - "Echiurus echiurus (Pallas, 1766)" - ], - "species_link": [ - "photogallery.php?album=2509" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "02acbf366084b736f27824edfd6c028e132c6a1e765459db3bdd532e1776928e", - "reference_sha256": "cae88fe4aa96efa59d01cd4997ec753d223e7f4483375b8b35e80cf252acc876", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:29Z", - "source_url": "https://marinespecies.org/photogallery.php?album=2509&pic=113267" - }, - "query": "Extract the title of the photo and the link of this species." - }, - { - "id": "liveweb-ie-d4411e5105685b1cdb51", - "url": "https://neurips.cc/virtual/2024/papers.html?filter=title&search=vlm", - "domain": "neurips", - "site": "neurips", - "values": { - "title": [ - "CogVLM: Visual Expert for Pretrained Language Models", - "EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection", - "MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs", - "VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions", - "VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought", - "VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images", - "Right this way: Can VLMs Guide Us to See More to Answer Questions?", - "Slot-VLM: Object-Event Slots for Video-Language Modeling", - "Q-VLM: Post-training Quantization for Large Vision-Language Models", - "SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge", - "T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition", - "ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs", - "BendVLM: Test-Time Debiasing of Vision-Language Embeddings", - "Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get the titles of every paper on this page; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-d4411e5105685b1cdb51.html", - "input_sha256": "72e2283386f40eaa27bb47299c4262e9f6264558bb846aa5471c14c53c95a327", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "CogVLM: Visual Expert for Pretrained Language Models": 1, - "EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection": 1, - "MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs": 1, - "VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions": 1, - "VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought": 1, - "VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images": 1, - "Right this way: Can VLMs Guide Us to See More to Answer Questions?": 1, - "Slot-VLM: Object-Event Slots for Video-Language Modeling": 1, - "Q-VLM: Post-training Quantization for Large Vision-Language Models": 1, - "SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge": 1, - "T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition": 1, - "ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs": 1, - "BendVLM: Test-Time Debiasing of Vision-Language Embeddings": 1, - "Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs": 1 - } - }, - "original_reference": { - "title": [ - "CogVLM: Visual Expert for Pretrained Language Models", - "EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection", - "MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs", - "VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions", - "VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought", - "VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images", - "Right this way: Can VLMs Guide Us to See More to Answer Questions?", - "Slot-VLM: Object-Event Slots for Video-Language Modeling", - "Q-VLM: Post-training Quantization for Large Vision-Language Models", - "SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge", - "T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition", - "ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs", - "BendVLM: Test-Time Debiasing of Vision-Language Embeddings", - "Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "72e2283386f40eaa27bb47299c4262e9f6264558bb846aa5471c14c53c95a327", - "reference_sha256": "4c067f2b85a738bcd41c334b9b528ce96aaf01e08c153bf62dd2f444fdfffedd", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:16Z", - "source_url": "https://neurips.cc/virtual/2024/papers.html?filter=title&search=vlm" - }, - "query": "Get the titles of every paper on this page" - }, - { - "id": "liveweb-ie-c659d82c2b866ca77521", - "url": "http://quotes.toscrape.com/author/John-Lennon", - "domain": "quotestoscrape", - "site": "quotestoscrape", - "values": { - "birth": [ - "October 09, 1940" - ] - }, - "schema": { - "type": "object", - "properties": { - "birth": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Collect the author's born details; target attribute: birth" - } - }, - "required": [ - "birth" - ] - }, - "input": "dataset/html/liveweb-ie-c659d82c2b866ca77521.html", - "input_sha256": "c9939164e5726491c74e3c3f0f1e3c00d55ab77f2ce4e3c74fcad1664eed62b6", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "birth": { - "October 09, 1940": 1 - } - }, - "original_reference": { - "birth": [ - "October 09, 1940" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "c9939164e5726491c74e3c3f0f1e3c00d55ab77f2ce4e3c74fcad1664eed62b6", - "reference_sha256": "65db0c73e8a023dd8cc0a7a0f79f0bba7735c45bb9c4944462a2b1b457c2cacf", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:09Z", - "source_url": "http://quotes.toscrape.com/author/John-Lennon" - }, - "query": "Collect the author's born details" - }, - { - "id": "liveweb-ie-2299149f75d52b81b134", - "url": "https://sandbox.oxylabs.io/products/490", - "domain": "sandboxoxlabio", - "site": "sandboxoxlabio", - "values": { - "image": [ - "/assets/role-playing.svg" - ], - "platform": [ - "Pc" - ] - }, - "schema": { - "type": "object", - "properties": { - "image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve both the game image and game platform details.; target attribute: image" - }, - "platform": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve both the game image and game platform details.; target attribute: platform" - } - }, - "required": [ - "image", - "platform" - ] - }, - "input": "dataset/html/liveweb-ie-2299149f75d52b81b134.html", - "input_sha256": "2e2446f7878dec61920aea14434a85072fdd3801a0911b8253096b7f56d4bfdb", - "assets": [], - "value_kinds": { - "image": "url" - }, - "source_value_counts": { - "image": { - "/assets/role-playing.svg": 1 - }, - "platform": { - "Pc": 1 - } - }, - "original_reference": { - "image": [ - "/assets/role-playing.svg" - ], - "platform": [ - "pc" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "2e2446f7878dec61920aea14434a85072fdd3801a0911b8253096b7f56d4bfdb", - "reference_sha256": "ba748f0b75acef82b1d98c252403132c0c2890521e86a3d2402812d9dacdb6af", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [ - { - "field": "platform", - "original": "pc", - "accepted": "Pc", - "source_sha256": "2e2446f7878dec61920aea14434a85072fdd3801a0911b8253096b7f56d4bfdb", - "reason": "whitespace and source-supported HTML entity decoding only" - } - ], - "observed_at": "2026-11-06T10:08:04Z", - "source_url": "https://sandbox.oxylabs.io/products/490" - }, - "query": "Retrieve both the game image and game platform details." - }, - { - "id": "liveweb-ie-62d73af2c72a38c59459", - "url": "https://www.scrapethissite.com/pages/forms/?page_num=2", - "domain": "scrapethissite", - "site": "scrapethissite", - "values": { - "wins": [ - "43", - "36", - "26", - "35", - "32", - "41", - "38", - "34", - "50", - "39", - "20", - "17", - "30", - "42", - "45", - "33", - "51", - "47" - ] - }, - "schema": { - "type": "object", - "properties": { - "wins": { - "type": "array", - "items": { - "type": "string" - }, - "description": "List the total wins for every hockey team.; target attribute: wins" - } - }, - "required": [ - "wins" - ] - }, - "input": "dataset/html/liveweb-ie-62d73af2c72a38c59459.html", - "input_sha256": "9fcd5323913a1481a0503140a5aed4148f669aa74432977023a86869bc1c2a37", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "wins": { - "43": 2, - "36": 2, - "26": 3, - "35": 1, - "32": 2, - "41": 1, - "38": 2, - "34": 1, - "50": 1, - "39": 1, - "20": 1, - "17": 1, - "30": 1, - "42": 1, - "45": 1, - "33": 1, - "51": 1, - "47": 2 - } - }, - "original_reference": { - "wins": [ - "43", - "36", - "26", - "35", - "32", - "41", - "38", - "34", - "50", - "32", - "39", - "20", - "17", - "36", - "30", - "42", - "45", - "33", - "51", - "38", - "43", - "47", - "47", - "26", - "26" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "9fcd5323913a1481a0503140a5aed4148f669aa74432977023a86869bc1c2a37", - "reference_sha256": "2eb89087979b7a81839d5b8248ca74ec85e0cc89e0a0ea5290517930e279d9dc", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:58Z", - "source_url": "https://www.scrapethissite.com/pages/forms/?page_num=2" - }, - "query": "List the total wins for every hockey team." - }, - { - "id": "liveweb-ie-ff1e28fec2d64cb147fc", - "url": "https://www.thecocktaildb.com/browse/letter/t", - "domain": "thecocktaildb", - "site": "thecocktaildb", - "values": { - "cocktail": [ - "Talos Coffee", - "Tennesee Mud", - "Tequila Fizz", - "Tequila Slammer", - "Tequila Sour", - "Tequila Sunrise", - "Tequila Surprise", - "Texas Rattlesnake", - "Texas Sling", - "Thai Coffee", - "Thai Iced Coffee", - "Thai Iced Tea", - "The Evil Blue Thing", - "The Galah", - "The Jimmy Conway", - "The Last Word", - "The Laverstoke", - "The Philosopher", - "The Strange Weaver", - "Thriller", - "Tia-Maria", - "Tipperary", - "Tom Collins", - "Tomato Tang", - "Tommy's Margarita", - "Turf Cocktail", - "Turkeyball", - "Tuxedo Cocktail" - ] - }, - "schema": { - "type": "object", - "properties": { - "cocktail": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Fetch the list of every drink's name; target attribute: cocktail" - } - }, - "required": [ - "cocktail" - ] - }, - "input": "dataset/html/liveweb-ie-ff1e28fec2d64cb147fc.html", - "input_sha256": "f567d1c647ce0ee8cc2268f53f503c391c1a3a09072426ca3cdb2157cb10fd92", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "cocktail": { - "Talos Coffee": 1, - "Tennesee Mud": 1, - "Tequila Fizz": 1, - "Tequila Slammer": 1, - "Tequila Sour": 1, - "Tequila Sunrise": 1, - "Tequila Surprise": 1, - "Texas Rattlesnake": 1, - "Texas Sling": 1, - "Thai Coffee": 1, - "Thai Iced Coffee": 1, - "Thai Iced Tea": 1, - "The Evil Blue Thing": 1, - "The Galah": 1, - "The Jimmy Conway": 1, - "The Last Word": 1, - "The Laverstoke": 1, - "The Philosopher": 1, - "The Strange Weaver": 1, - "Thriller": 1, - "Tia-Maria": 1, - "Tipperary": 1, - "Tom Collins": 1, - "Tomato Tang": 1, - "Tommy's Margarita": 1, - "Turf Cocktail": 1, - "Turkeyball": 1, - "Tuxedo Cocktail": 1 - } - }, - "original_reference": { - "cocktail": [ - "Talos Coffee", - "Tennesee Mud", - "Tequila Fizz", - "Tequila Slammer", - "Tequila Sour", - "Tequila Sunrise", - "Tequila Surprise", - "Texas Rattlesnake", - "Texas Sling", - "Thai Coffee", - "Thai Iced Coffee", - "Thai Iced Tea", - "The Evil Blue Thing", - "The Galah", - "The Jimmy Conway", - "The Last Word", - "The Laverstoke", - "The Philosopher", - "The Strange Weaver", - "Thriller", - "Tia-Maria", - "Tipperary", - "Tom Collins", - "Tomato Tang", - "Tommy's Margarita", - "Turf Cocktail", - "Turkeyball", - "Tuxedo Cocktail" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "f567d1c647ce0ee8cc2268f53f503c391c1a3a09072426ca3cdb2157cb10fd92", - "reference_sha256": "250eb25e0d011095d07bbac396de379cd7c958e2cdbcf39577750d1faea8c59b", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:54Z", - "source_url": "https://www.thecocktaildb.com/browse/letter/t" - }, - "query": "Fetch the list of every drink's name" - }, - { - "id": "liveweb-ie-e56538f2016bf30b7780", - "url": "https://www.themealdb.com/browse/letter/h", - "domain": "themealdb", - "site": "themealdb", - "values": { - "meal_link": [ - "/meal/52773-honey-teriyaki-salmon-recipe", - "/meal/52787-hot-chocolate-fudge-recipe", - "/meal/52954-hot-and-sour-soup-recipe", - "/meal/52967-home-made-mandazi-recipe", - "/meal/52993-honey-balsamic-chicken-with-crispy-broccoli-&-potatoes-recipe", - "/meal/53007-honey-yogurt-cheesecake-recipe", - "/meal/53035-ham-hock-colcannon-recipe" - ] - }, - "schema": { - "type": "object", - "properties": { - "meal_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "List every food with its detail link; target attribute: meal_link" - } - }, - "required": [ - "meal_link" - ] - }, - "input": "dataset/html/liveweb-ie-e56538f2016bf30b7780.html", - "input_sha256": "8d94f8b69a219a234762999801bb9aff156e94a0fbb367b6db61b364f6ef9e3c", - "assets": [], - "value_kinds": { - "meal_link": "url" - }, - "source_value_counts": { - "meal_link": { - "/meal/52773-honey-teriyaki-salmon-recipe": 1, - "/meal/52787-hot-chocolate-fudge-recipe": 1, - "/meal/52954-hot-and-sour-soup-recipe": 1, - "/meal/52967-home-made-mandazi-recipe": 1, - "/meal/52993-honey-balsamic-chicken-with-crispy-broccoli-&-potatoes-recipe": 1, - "/meal/53007-honey-yogurt-cheesecake-recipe": 1, - "/meal/53035-ham-hock-colcannon-recipe": 1 - } - }, - "original_reference": { - "meal_link": [ - "/meal/52773-honey-teriyaki-salmon-recipe", - "/meal/52787-hot-chocolate-fudge-recipe", - "/meal/52954-hot-and-sour-soup-recipe", - "/meal/52967-home-made-mandazi-recipe", - "/meal/52993-honey-balsamic-chicken-with-crispy-broccoli-&-potatoes-recipe", - "/meal/53007-honey-yogurt-cheesecake-recipe", - "/meal/53035-ham-hock-colcannon-recipe" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "8d94f8b69a219a234762999801bb9aff156e94a0fbb367b6db61b364f6ef9e3c", - "reference_sha256": "b81f91f8ac84eeb7874873000b405cfc79440eccb78efd02fd28644bbfaae869", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:50Z", - "source_url": "https://www.themealdb.com/browse/letter/h" - }, - "query": "List every food with its detail link" - }, - { - "id": "liveweb-ie-46f7b0ffa7764c248066", - "url": "https://www.thesportsdb.com/league/4427-can-am", - "domain": "thesportsdb", - "site": "thesportsdb", - "values": { - "league_link": [ - "/league/4427-can-am" - ] - }, - "schema": { - "type": "object", - "properties": { - "league_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the name link of the league; target attribute: league_link" - } - }, - "required": [ - "league_link" - ] - }, - "input": "dataset/html/liveweb-ie-46f7b0ffa7764c248066.html", - "input_sha256": "8365e0ea288dfba5767ea3fa504d9cad9a609eba91c0d1b84222b67d44418b60", - "assets": [], - "value_kinds": { - "league_link": "url" - }, - "source_value_counts": { - "league_link": { - "/league/4427-can-am": 1 - } - }, - "original_reference": { - "league_link": [ - "/league/4427-can-am" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "8365e0ea288dfba5767ea3fa504d9cad9a609eba91c0d1b84222b67d44418b60", - "reference_sha256": "826835a103a64e395696e06bf861f5f68b3ac06ffcf6376b2ea64207046e8fc6", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:47Z", - "source_url": "https://www.thesportsdb.com/league/4427-can-am" - }, - "query": "Retrieve the name link of the league" - }, - { - "id": "liveweb-ie-fbf2c8063b2fca77c4d9", - "url": "https://books.toscrape.com/catalogue/category/books/business_35/index.html", - "domain": "booktoscrape", - "site": "booktoscrape", - "values": { - "count": [ - "12" - ] - }, - "schema": { - "type": "object", - "properties": { - "count": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Return the number of books; target attribute: count" - } - }, - "required": [ - "count" - ] - }, - "input": "dataset/html/liveweb-ie-fbf2c8063b2fca77c4d9.html", - "input_sha256": "b827088e5ad5bca17e420923dd74c3e989b57c2b38b342177f31acfac19bf167", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "count": { - "12": 1 - } - }, - "original_reference": { - "count": [ - "12" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "b827088e5ad5bca17e420923dd74c3e989b57c2b38b342177f31acfac19bf167", - "reference_sha256": "4a4f1c93b6b0a4e1cd9be208ca0bb7e24e131bf5277cf7f84700a66a91a26cb1", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:14Z", - "source_url": "https://books.toscrape.com/catalogue/category/books/business_35/index.html" - }, - "query": "Return the number of books" - }, - { - "id": "liveweb-ie-bcd20521ff092139a65f", - "url": "https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2023&year2=2023&make=MINI&baseModel=Clubman&srchtyp=ymm&pageno=1&rowLimit=50", - "domain": "fueleconomy", - "site": "fueleconomy", - "values": { - "vehicle_image": [ - "/feg/photos/2022_MINI_Cooper_S_Clubman.jpg", - "/feg/photos/2022_MINI_Cooper_S_Clubman_All4.jpg" - ] - }, - "schema": { - "type": "object", - "properties": { - "vehicle_image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Present the collection of car thumbnails; target attribute: vehicle_image" - } - }, - "required": [ - "vehicle_image" - ] - }, - "input": "dataset/html/liveweb-ie-bcd20521ff092139a65f.html", - "input_sha256": "a8854669ecbfaa7a4b38e55e9e1b44e70a1eb3b19fd1bb5df76196a2aa2b8364", - "assets": [], - "value_kinds": { - "vehicle_image": "url" - }, - "source_value_counts": { - "vehicle_image": { - "/feg/photos/2022_MINI_Cooper_S_Clubman.jpg": 2, - "/feg/photos/2022_MINI_Cooper_S_Clubman_All4.jpg": 1 - } - }, - "original_reference": { - "vehicle_image": [ - "/feg/photos/2022_MINI_Cooper_S_Clubman.jpg", - "/feg/photos/2022_MINI_Cooper_S_Clubman_All4.jpg", - "/feg/photos/2022_MINI_Cooper_S_Clubman.jpg" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "a8854669ecbfaa7a4b38e55e9e1b44e70a1eb3b19fd1bb5df76196a2aa2b8364", - "reference_sha256": "4de96d7a08a757f11408f678c50212d5ab3e85c31b4bc217e4f4a587def12da8", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:42Z", - "source_url": "https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2023&year2=2023&make=MINI&baseModel=Clubman&srchtyp=ymm&pageno=1&rowLimit=50" - }, - "query": "Present the collection of car thumbnails" - }, - { - "id": "liveweb-ie-60e8977071c6297f6f4f", - "url": "https://huggingface.co/papers/2408.15239", - "domain": "huggingface", - "site": "huggingface", - "values": { - "title": [ - "Generative Inbetweening: Adapting Image-to-Video Models for Keyframe" - ], - "source_link": [ - "https://arxiv.org/abs/2408.15239" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the title and arxiv link of the paper; target attribute: title" - }, - "source_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the title and arxiv link of the paper; target attribute: source_link" - } - }, - "required": [ - "title", - "source_link" - ] - }, - "input": "dataset/html/liveweb-ie-60e8977071c6297f6f4f.html", - "input_sha256": "4f1b6ec53c207c96fc9562658135d1e0715af2e6cf9343fc9e4dd483031edc4f", - "assets": [], - "value_kinds": { - "source_link": "url" - }, - "source_value_counts": { - "title": { - "Generative Inbetweening: Adapting Image-to-Video Models for Keyframe": 1 - }, - "source_link": { - "https://arxiv.org/abs/2408.15239": 1 - } - }, - "original_reference": { - "title": [ - "Generative Inbetweening: Adapting Image-to-Video Models for Keyframe" - ], - "source_link": [ - "https://arxiv.org/abs/2408.15239" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "4f1b6ec53c207c96fc9562658135d1e0715af2e6cf9343fc9e4dd483031edc4f", - "reference_sha256": "9ec49a05a21d37c17073fc765aebc002afe8aa779ab57e9a99b3b62410b9fed5", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:37Z", - "source_url": "https://huggingface.co/papers/2408.15239" - }, - "query": "Extract the title and arxiv link of the paper" - }, - { - "id": "liveweb-ie-9d9f5817a3a726ad46b9", - "url": "https://iclr.cc/virtual/2025/poster/30318", - "domain": "iclr", - "site": "iclr", - "values": { - "title": [ - "Graph-based Document Structure Analysis" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the title of the research paper.; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-9d9f5817a3a726ad46b9.html", - "input_sha256": "98c0d0ee9c9a060734121ca2e7da821942e1c6193aaf3d185d91eab21cadfb0b", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Graph-based Document Structure Analysis": 1 - } - }, - "original_reference": { - "title": [ - "Graph-based Document Structure Analysis" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "98c0d0ee9c9a060734121ca2e7da821942e1c6193aaf3d185d91eab21cadfb0b", - "reference_sha256": "b0ce8cd0a8282a8d74789dbf4a502bce38feae87dc614bd481a00551a57cdf3f", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:09Z", - "source_url": "https://iclr.cc/virtual/2025/poster/30318" - }, - "query": "Retrieve the title of the research paper." - }, - { - "id": "liveweb-ie-3876765dad531b834e30", - "url": "https://icml.cc/virtual/2025/poster/45419", - "domain": "icml", - "site": "icml", - "values": { - "title": [ - "The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the title for this paper; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-3876765dad531b834e30.html", - "input_sha256": "ae7bb929f22f1e946bab977937023e02c74e5396815983ccd0242517f511ee5f", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback": 1 - } - }, - "original_reference": { - "title": [ - "The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "ae7bb929f22f1e946bab977937023e02c74e5396815983ccd0242517f511ee5f", - "reference_sha256": "a4dd8bab4c72736ba0469044b3fb019beaad306b5d55f740d6834519cf80d60f", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:22Z", - "source_url": "https://icml.cc/virtual/2025/poster/45419" - }, - "query": "Retrieve the title for this paper" - }, - { - "id": "liveweb-ie-3bce36bdcdc70b7f0458", - "url": "https://marinespecies.org/photogallery.php?album=823", - "domain": "marinespecies", - "site": "marinespecies", - "values": { - "species_link": [ - "photogallery.php?album=823&pic=132233", - "photogallery.php?album=823&pic=132232", - "photogallery.php?album=823&pic=132231", - "photogallery.php?album=823&pic=124625", - "photogallery.php?album=823&pic=124624", - "photogallery.php?album=823&pic=124623", - "photogallery.php?album=823&pic=124622", - "photogallery.php?album=823&pic=114774", - "photogallery.php?album=823&pic=111710", - "photogallery.php?album=823&pic=111709", - "photogallery.php?album=823&pic=111708", - "photogallery.php?album=823&pic=111707", - "photogallery.php?album=823&pic=111706", - "photogallery.php?album=823&pic=111705", - "photogallery.php?album=823&pic=111704", - "photogallery.php?album=823&pic=111703", - "photogallery.php?album=823&pic=111702", - "photogallery.php?album=823&pic=111701", - 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"species_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Fetch the hyperlinks that direct to the full information of marine life; target attribute: species_link" - } - }, - "required": [ - "species_link" - ] - }, - "input": "dataset/html/liveweb-ie-3bce36bdcdc70b7f0458.html", - "input_sha256": "3f6ae33b256ff19543839a7ff6fb4a371e4241ab8495f28d538970a914f1933a", - "assets": [], - "value_kinds": { - "species_link": "url" - }, - "source_value_counts": { - "species_link": { - "photogallery.php?album=823&pic=132233": 1, - "photogallery.php?album=823&pic=132232": 1, - "photogallery.php?album=823&pic=132231": 1, - "photogallery.php?album=823&pic=124625": 1, - "photogallery.php?album=823&pic=124624": 1, - "photogallery.php?album=823&pic=124623": 1, - "photogallery.php?album=823&pic=124622": 1, - "photogallery.php?album=823&pic=114774": 1, - "photogallery.php?album=823&pic=111710": 1, - "photogallery.php?album=823&pic=111709": 1, - "photogallery.php?album=823&pic=111708": 1, - 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"photogallery.php?album=823&pic=111703", - "photogallery.php?album=823&pic=111702", - "photogallery.php?album=823&pic=111701", - "photogallery.php?album=823&pic=111700", - "photogallery.php?album=823&pic=111699", - "photogallery.php?album=823&pic=111698", - "photogallery.php?album=823&pic=111697", - "photogallery.php?album=823&pic=111696", - "photogallery.php?album=823&pic=111695", - "photogallery.php?album=823&pic=111694", - "photogallery.php?album=823&pic=111693", - "photogallery.php?album=823&pic=111603", - "photogallery.php?album=823&pic=111586", - "photogallery.php?album=823&pic=111585", - "photogallery.php?album=823&pic=111584", - "photogallery.php?album=823&pic=111583", - "photogallery.php?album=823&pic=111582", - "photogallery.php?album=823&pic=111581", - "photogallery.php?album=823&pic=111580", - "photogallery.php?album=823&pic=111579", - "photogallery.php?album=823&pic=108922", - "photogallery.php?album=823&pic=108921", - "photogallery.php?album=823&pic=36085", - "photogallery.php?album=823&pic=36084", - "photogallery.php?album=823&pic=36083" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "3f6ae33b256ff19543839a7ff6fb4a371e4241ab8495f28d538970a914f1933a", - "reference_sha256": "951232ed97d47f763c10acc49130705449f2acd85a3d72d189806a657287e76e", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:29Z", - "source_url": "https://marinespecies.org/photogallery.php?album=823" - }, - "query": "Fetch the hyperlinks that direct to the full information of marine life" - }, - { - "id": "liveweb-ie-0b833042cfded302074b", - "url": "https://neurips.cc/virtual/2024/poster/96637", - "domain": "neurips", - "site": "neurips", - "values": { - "title": [ - "Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get the paper's title; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-0b833042cfded302074b.html", - "input_sha256": "032a2b74d58c42c921dba376850edc61cce92ee5b0e430f51623a1a8acfd03ed", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function": 1 - } - }, - "original_reference": { - "title": [ - "Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "032a2b74d58c42c921dba376850edc61cce92ee5b0e430f51623a1a8acfd03ed", - "reference_sha256": "c718b7ed1c051f692352c1f5c8638346804d7c63d981422b0346b0be5cbb72cc", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:15Z", - "source_url": "https://neurips.cc/virtual/2024/poster/96637" - }, - "query": "Get the paper's title" - }, - { - "id": "liveweb-ie-6b5a157404ec3db25a2c", - "url": "http://quotes.toscrape.com/tag/friendship/", - "domain": "quotestoscrape", - "site": "quotestoscrape", - "values": { - "tag_link": [ - "/tag/friendship/page/1/" - ] - }, - "schema": { - "type": "object", - "properties": { - "tag_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Fetch link of the current viewing tag of the quote; target attribute: tag_link" - } - }, - "required": [ - "tag_link" - ] - }, - "input": "dataset/html/liveweb-ie-6b5a157404ec3db25a2c.html", - "input_sha256": "5cb255cc211712dd3177a55addf8599d7d3b5e19306cc01aa30100e8a05f7b39", - "assets": [], - "value_kinds": { - "tag_link": "url" - }, - "source_value_counts": { - "tag_link": { - "/tag/friendship/page/1/": 1 - } - }, - "original_reference": { - "tag_link": [ - "/tag/friendship/page/1/" - 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} - }, - "required": [ - "game_count" - ] - }, - "input": "dataset/html/liveweb-ie-aa9aa78d97822d98818f.html", - "input_sha256": "eb84fa1b4f0ac0284f52789a5e71d8069eeac0797f4e10246920be3dedcaf5f3", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "game_count": { - "58": 1 - } - }, - "original_reference": { - "game_count": [ - "58" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "eb84fa1b4f0ac0284f52789a5e71d8069eeac0797f4e10246920be3dedcaf5f3", - "reference_sha256": "8bb6c9ed1aec19787b97848fb0cba6e8201b37cc71ff1dc85ddfb5e51f333ad1", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:04Z", - "source_url": "https://sandbox.oxylabs.io/products/category/nintendo/gamecube" - }, - "query": "Identify how many games belong to the current platform" - }, - { - "id": "liveweb-ie-ef7b826c1e12909b13cc", - "url": "https://www.scrapethissite.com/pages/forms/?page_num=15", - "domain": "scrapethissite", - "site": "scrapethissite", - "values": { - "team": [ - "Colorado Avalanche", - "Dallas Stars", - "Detroit Red Wings", - "Edmonton Oilers", - "Florida Panthers", - "Los Angeles Kings", - "Minnesota Wild", - "Montreal Canadiens", - "Nashville Predators", - "New Jersey Devils", - "New York Islanders", - "New York Rangers", - "Ottawa Senators", - "Philadelphia Flyers", - "Phoenix Coyotes", - "Pittsburgh Penguins", - "San Jose Sharks", - "St. Louis Blues", - "Tampa Bay Lightning", - "Toronto Maple Leafs", - "Vancouver Canucks", - "Washington Capitals", - "Mighty Ducks of Anaheim", - "Atlanta Thrashers", - "Boston Bruins" - ], - "wins": [ - "40", - "41", - "48", - "36", - "28", - "30", - "38", - "43", - "27", - "22", - "23", - "39", - "46", - "45", - "29" - ] - }, - "schema": { - "type": "object", - "properties": { - "team": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Can you list all hockey team names and their wins; target attribute: team" - }, - "wins": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Can you list all hockey team names and their wins; target attribute: wins" - } - }, - "required": [ - "team", - "wins" - ] - }, - "input": "dataset/html/liveweb-ie-ef7b826c1e12909b13cc.html", - "input_sha256": "741e8e37075e9da004c6b675a2deb89d4202cce97b9fbb58f617b2854fb8ff91", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "team": { - "Colorado Avalanche": 1, - "Dallas Stars": 1, - "Detroit Red Wings": 1, - "Edmonton Oilers": 1, - "Florida Panthers": 1, - "Los Angeles Kings": 1, - "Minnesota Wild": 1, - "Montreal Canadiens": 1, - "Nashville Predators": 1, - "New Jersey Devils": 1, - "New York Islanders": 1, - "New York Rangers": 1, - "Ottawa Senators": 1, - "Philadelphia Flyers": 1, - "Phoenix Coyotes": 1, - "Pittsburgh Penguins": 1, - "San Jose Sharks": 1, - "St. Louis Blues": 1, - "Tampa Bay Lightning": 1, - "Toronto Maple Leafs": 1, - "Vancouver Canucks": 1, - "Washington Capitals": 1, - "Mighty Ducks of Anaheim": 1, - "Atlanta Thrashers": 1, - "Boston Bruins": 1 - }, - "wins": { - "40": 2, - "41": 3, - "48": 1, - "36": 1, - "28": 2, - "30": 1, - "38": 2, - "43": 5, - "27": 1, - "22": 1, - "23": 2, - "39": 1, - "46": 1, - "45": 1, - "29": 1 - } - }, - "original_reference": { - "team": [ - "Colorado Avalanche", - "Dallas Stars", - "Detroit Red Wings", - "Edmonton Oilers", - "Florida Panthers", - "Los Angeles Kings", - "Minnesota Wild", - "Montreal Canadiens", - "Nashville Predators", - "New Jersey Devils", - "New York Islanders", - "New York Rangers", - "Ottawa Senators", - "Philadelphia Flyers", - "Phoenix Coyotes", - "Pittsburgh Penguins", - "San Jose Sharks", - "St. Louis Blues", - "Tampa Bay Lightning", - "Toronto Maple Leafs", - "Vancouver Canucks", - "Washington Capitals", - "Mighty Ducks of Anaheim", - "Atlanta Thrashers", - "Boston Bruins" - ], - "wins": [ - "40", - "41", - "48", - "36", - "28", - "28", - "30", - "41", - "38", - "43", - "38", - "27", - "43", - "40", - "22", - "23", - "43", - "39", - "46", - "45", - "43", - "23", - "43", - "41", - "29" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "741e8e37075e9da004c6b675a2deb89d4202cce97b9fbb58f617b2854fb8ff91", - "reference_sha256": "28abb0edf509e59e6b21c3c85b8ffc8aea040370c3c205c3bbd31d767052b78a", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:58Z", - "source_url": "https://www.scrapethissite.com/pages/forms/?page_num=15" - }, - "query": "Can you list all hockey team names and their wins" - }, - { - "id": "liveweb-ie-933e1b04e271e81a5986", - "url": "https://www.thecocktaildb.com/drink/178353-apple-highball", - "domain": "thecocktaildb", - "site": "thecocktaildb", - "values": { - "ingredient": [ - "Chopped Lime", - "1 shot Apple Schnapps", - "1 shot Cognac", - "Top Ginger" - ], - "ingredient_link": [ - "/ingredient/312-lime", - "/ingredient/29-apple-schnapps", - "/ingredient/141-cognac", - "/ingredient/230-ginger" - ], - "ingredient_image": [ - "../images/ingredients/lime-medium.png", - "../images/ingredients/apple schnapps-medium.png", - "../images/ingredients/cognac-medium.png", - "../images/ingredients/ginger-medium.png" - ] - }, - "schema": { - "type": "object", - "properties": { - "ingredient": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Gather the names of all ingredients along with their corresponding detail links and images for the beverage.; target attribute: ingredient" - }, - "ingredient_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Gather the names of all ingredients along with their corresponding detail links and images for the beverage.; target attribute: ingredient_link" - }, - "ingredient_image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Gather the names of all ingredients along with their corresponding detail links and images for the beverage.; target attribute: ingredient_image" - } - }, - "required": [ - "ingredient", - "ingredient_link", - "ingredient_image" - ] - }, - "input": "dataset/html/liveweb-ie-933e1b04e271e81a5986.html", - "input_sha256": "fb1b3de6a54fba01836c474657a09ff1b08dd74d4e279033c1007646cf5c32d5", - "assets": [], - "value_kinds": { - "ingredient_link": "url", - "ingredient_image": "url" - }, - "source_value_counts": { - "ingredient": { - "Chopped Lime": 1, - "1 shot Apple Schnapps": 1, - "1 shot Cognac": 1, - "Top Ginger": 1 - }, - "ingredient_link": { - "/ingredient/312-lime": 1, - "/ingredient/29-apple-schnapps": 1, - "/ingredient/141-cognac": 1, - "/ingredient/230-ginger": 1 - }, - "ingredient_image": { - "../images/ingredients/lime-medium.png": 1, - "../images/ingredients/apple schnapps-medium.png": 1, - "../images/ingredients/cognac-medium.png": 1, - "../images/ingredients/ginger-medium.png": 1 - } - }, - "original_reference": { - "ingredient": [ - "Chopped Lime", - "1 shot Apple Schnapps", - "1 shot Cognac", - "Top Ginger" - ], - "ingredient_link": [ - "/ingredient/312-lime", - "/ingredient/29-apple-schnapps", - "/ingredient/141-cognac", - "/ingredient/230-ginger" - ], - "ingredient_image": [ - "../images/ingredients/lime-medium.png", - "../images/ingredients/apple schnapps-medium.png", - "../images/ingredients/cognac-medium.png", - "../images/ingredients/ginger-medium.png" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "fb1b3de6a54fba01836c474657a09ff1b08dd74d4e279033c1007646cf5c32d5", - "reference_sha256": "ab938ff694ca14b5f2904c776da8268c3b773abb9173a5c26d0a73ab8e28e18d", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:54Z", - "source_url": "https://www.thecocktaildb.com/drink/178353-apple-highball" - }, - "query": "Gather the names of all ingredients along with their corresponding detail links and images for the beverage." - }, - { - "id": "liveweb-ie-3ed7057cae00ba9f830b", - "url": "https://www.themealdb.com/meal/52824-beef-sunday-roast-recipe", - "domain": "themealdb", - "site": "themealdb", - "values": { - "ingredient": [ - "8 slices Beef", - "12 florets Broccoli", - "1 Packet Potatoes", - "1 Packet Carrots", - "140g plain flour", - "4 Eggs", - "200ml milk", - "drizzle (for cooking) sunflower oil" - ] - }, - "schema": { - "type": "object", - "properties": { - "ingredient": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Please provide the ingredient names used in this food; target attribute: ingredient" - } - }, - "required": [ - "ingredient" - ] - }, - "input": "dataset/html/liveweb-ie-3ed7057cae00ba9f830b.html", - "input_sha256": "015d70af507603e4f9eb1c7fe98106e530b7fd72244f5ddfd39e3833b99cd6f3", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "ingredient": { - "8 slices Beef": 1, - "12 florets Broccoli": 1, - "1 Packet Potatoes": 1, - "1 Packet Carrots": 1, - "140g plain flour": 1, - "4 Eggs": 1, - "200ml milk": 1, - "drizzle (for cooking) sunflower oil": 1 - } - }, - "original_reference": { - "ingredient": [ - "8 slices Beef", - "12 florets Broccoli", - "1 Packet Potatoes", - "1 Packet Carrots", - "140g plain flour", - "4 Eggs", - "200ml milk", - "drizzle (for cooking) sunflower oil" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "015d70af507603e4f9eb1c7fe98106e530b7fd72244f5ddfd39e3833b99cd6f3", - "reference_sha256": "8fb54955e1af7b564ce9c3f6f21527eb0bc55052d146bd623ee3d19bb3a70775", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:50Z", - "source_url": "https://www.themealdb.com/meal/52824-beef-sunday-roast-recipe" - }, - "query": "Please provide the ingredient names used in this food" - }, - { - "id": "liveweb-ie-bb3b3619a94eaeeb6529", - "url": "https://www.thesportsdb.com/team/135269-chicago-cubs", - "domain": "thesportsdb", - "site": "thesportsdb", - "values": { - "team_link": [ - "/team/135269-chicago-cubs" - ] - }, - "schema": { - "type": "object", - "properties": { - "team_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Point me to the team's name link; target attribute: team_link" - } - }, - "required": [ - "team_link" - ] - }, - "input": "dataset/html/liveweb-ie-bb3b3619a94eaeeb6529.html", - "input_sha256": "72a3769904fd4627eefcabe4445aca8d2f7a5e76b2bb537e79595f8f323bbcff", - "assets": [], - "value_kinds": { - "team_link": "url" - }, - "source_value_counts": { - "team_link": { - "/team/135269-chicago-cubs": 1 - } - }, - "original_reference": { - "team_link": [ - "/team/135269-chicago-cubs" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "72a3769904fd4627eefcabe4445aca8d2f7a5e76b2bb537e79595f8f323bbcff", - "reference_sha256": "c7b9d63948d5de6ad66969c479b5dc6decd3bc901b25f44f97c4aa9431797883", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:47Z", - "source_url": "https://www.thesportsdb.com/team/135269-chicago-cubs" - }, - "query": "Point me to the team's name link" - }, - { - "id": "liveweb-ie-ab368b653d5cf98028f0", - "url": "https://arxiv.org/abs/2401.15870", - "domain": "arxiv", - "site": "arxiv", - "values": { - "title": [ - "DF* PageRank: Improved Incrementally Expanding Approaches for Updating PageRank on Dynamic Graphs" - ], - "pdf_link": [ - "/pdf/2401.15870" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the title and pdf links of the paper; target attribute: title" - }, - "pdf_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the title and pdf links of the paper; target attribute: pdf_link" - } - }, - "required": [ - "title", - "pdf_link" - ] - }, - "input": "dataset/html/liveweb-ie-ab368b653d5cf98028f0.html", - "input_sha256": "0c7007e6985f6d0fb32759412f695bb4a9d320998ea7f06f097e324508c79d71", - "assets": [], - "value_kinds": { - "pdf_link": "url" - }, - "source_value_counts": { - "title": { - "DF* PageRank: Improved Incrementally Expanding Approaches for Updating PageRank on Dynamic Graphs": 1 - }, - "pdf_link": { - "/pdf/2401.15870": 1 - } - }, - "original_reference": { - "title": [ - "DF* PageRank: Improved Incrementally Expanding Approaches for Updating PageRank on Dynamic Graphs" - ], - "pdf_link": [ - "/pdf/2401.15870" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "0c7007e6985f6d0fb32759412f695bb4a9d320998ea7f06f097e324508c79d71", - "reference_sha256": "5cebeb5f3a43a42475a2e3054748890985029c87b4372550588af0980553ffe5", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:05Z", - "source_url": "https://arxiv.org/abs/2401.15870" - }, - "query": "Extract the title and pdf links of the paper" - }, - { - "id": "liveweb-ie-17613a65ba35fe8f1084", - "url": "https://books.toscrape.com/catalogue/page-10.html", - "domain": "booktoscrape", - "site": "booktoscrape", - "values": { - "book_link": [ - "modern-romance_820/index.html", - "miss-peregrines-home-for-peculiar-children-miss-peregrines-peculiar-children-1_819/index.html", - "louisa-the-extraordinary-life-of-mrs-adams_818/index.html", - "little-red_817/index.html", - "library-of-souls-miss-peregrines-peculiar-children-3_816/index.html", - "large-print-heart-of-the-pride_815/index.html", - "i-had-a-nice-time-and-other-lies-how-to-find-love-sht-like-that_814/index.html", - "hollow-city-miss-peregrines-peculiar-children-2_813/index.html", - "grumbles_812/index.html", - "full-moon-over-noahs-ark-an-odyssey-to-mount-ararat-and-beyond_811/index.html", - "frostbite-vampire-academy-2_810/index.html", - "follow-you-home_809/index.html", - "first-steps-for-new-christians-print-edition_808/index.html", - "finders-keepers-bill-hodges-trilogy-2_807/index.html", - "fables-vol-1-legends-in-exile-fables-1_806/index.html", - "eureka-trivia-60_805/index.html", - "drive-the-surprising-truth-about-what-motivates-us_804/index.html", - "done-rubbed-out-reightman-bailey-1_803/index.html", - "doing-it-over-most-likely-to-1_802/index.html", - "deliciously-ella-every-day-quick-and-easy-recipes-for-gluten-free-snacks-packed-lunches-and-simple-meals_801/index.html" - ] - }, - "schema": { - "type": "object", - "properties": { - "book_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract all book links; target attribute: book_link" - } - }, - "required": [ - "book_link" - ] - }, - "input": "dataset/html/liveweb-ie-17613a65ba35fe8f1084.html", - "input_sha256": "440514340b7de4042998b0553d1a9d94dd634e6232444aa116ef1e6ef9095163", - "assets": [], - "value_kinds": { - "book_link": "url" - }, - "source_value_counts": { - "book_link": { - "modern-romance_820/index.html": 1, - "miss-peregrines-home-for-peculiar-children-miss-peregrines-peculiar-children-1_819/index.html": 1, - "louisa-the-extraordinary-life-of-mrs-adams_818/index.html": 1, - "little-red_817/index.html": 1, - "library-of-souls-miss-peregrines-peculiar-children-3_816/index.html": 1, - "large-print-heart-of-the-pride_815/index.html": 1, - "i-had-a-nice-time-and-other-lies-how-to-find-love-sht-like-that_814/index.html": 1, - "hollow-city-miss-peregrines-peculiar-children-2_813/index.html": 1, - "grumbles_812/index.html": 1, - "full-moon-over-noahs-ark-an-odyssey-to-mount-ararat-and-beyond_811/index.html": 1, - "frostbite-vampire-academy-2_810/index.html": 1, - "follow-you-home_809/index.html": 1, - "first-steps-for-new-christians-print-edition_808/index.html": 1, - "finders-keepers-bill-hodges-trilogy-2_807/index.html": 1, - "fables-vol-1-legends-in-exile-fables-1_806/index.html": 1, - "eureka-trivia-60_805/index.html": 1, - "drive-the-surprising-truth-about-what-motivates-us_804/index.html": 1, - "done-rubbed-out-reightman-bailey-1_803/index.html": 1, - "doing-it-over-most-likely-to-1_802/index.html": 1, - "deliciously-ella-every-day-quick-and-easy-recipes-for-gluten-free-snacks-packed-lunches-and-simple-meals_801/index.html": 1 - } - }, - "original_reference": { - "book_link": [ - "modern-romance_820/index.html", - "miss-peregrines-home-for-peculiar-children-miss-peregrines-peculiar-children-1_819/index.html", - "louisa-the-extraordinary-life-of-mrs-adams_818/index.html", - "little-red_817/index.html", - "library-of-souls-miss-peregrines-peculiar-children-3_816/index.html", - "large-print-heart-of-the-pride_815/index.html", - "i-had-a-nice-time-and-other-lies-how-to-find-love-sht-like-that_814/index.html", - "hollow-city-miss-peregrines-peculiar-children-2_813/index.html", - "grumbles_812/index.html", - "full-moon-over-noahs-ark-an-odyssey-to-mount-ararat-and-beyond_811/index.html", - "frostbite-vampire-academy-2_810/index.html", - "follow-you-home_809/index.html", - "first-steps-for-new-christians-print-edition_808/index.html", - "finders-keepers-bill-hodges-trilogy-2_807/index.html", - "fables-vol-1-legends-in-exile-fables-1_806/index.html", - "eureka-trivia-60_805/index.html", - "drive-the-surprising-truth-about-what-motivates-us_804/index.html", - "done-rubbed-out-reightman-bailey-1_803/index.html", - "doing-it-over-most-likely-to-1_802/index.html", - "deliciously-ella-every-day-quick-and-easy-recipes-for-gluten-free-snacks-packed-lunches-and-simple-meals_801/index.html" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "440514340b7de4042998b0553d1a9d94dd634e6232444aa116ef1e6ef9095163", - "reference_sha256": "cdad6fa50ed6eb45783597cee8b0dec34ef22b615f5e4adf5ff8140fe9ac225c", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:14Z", - "source_url": "https://books.toscrape.com/catalogue/page-10.html" - }, - "query": "Extract all book links" - }, - { - "id": "liveweb-ie-d87cefd5fd9733df8337", - "url": "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47033", - "domain": "fueleconomy", - "site": "fueleconomy", - "values": { - "vehicle": [ - "2024 Porsche 911 Turbo Cabriolet" - ], - "vehicle_image": [ - "https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Turbo_Cabrio.jpg" - ], - "tank_size": [ - "17.6 gallons" - ] - }, - "schema": { - "type": "object", - "properties": { - "vehicle": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get the vehicle's full name along with its photo and tank size; target attribute: vehicle" - }, - "vehicle_image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get the vehicle's full name along with its photo and tank size; target attribute: vehicle_image" - }, - "tank_size": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get the vehicle's full name along with its photo and tank size; target attribute: tank_size" - } - }, - "required": [ - "vehicle", - "vehicle_image", - "tank_size" - ] - }, - "input": "dataset/html/liveweb-ie-d87cefd5fd9733df8337.html", - "input_sha256": "7348f005ed061cdec0820041baa76b253448926574ba2091be41a4b5096875a7", - "assets": [], - "value_kinds": { - "vehicle_image": "url" - }, - "source_value_counts": { - "vehicle": { - "2024 Porsche 911 Turbo Cabriolet": 1 - }, - "vehicle_image": { - "https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Turbo_Cabrio.jpg": 1 - }, - "tank_size": { - "17.6 gallons": 1 - } - }, - "original_reference": { - "vehicle": [ - "2024 Porsche 911 Turbo Cabriolet" - ], - "vehicle_image": [ - "https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Turbo_Cabrio.jpg" - ], - "tank_size": [ - "17.6 gallons" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "7348f005ed061cdec0820041baa76b253448926574ba2091be41a4b5096875a7", - "reference_sha256": "e8b16ec08a03bcc5968ba1320efbe17bba332761c53d8b6c32400d7571c8b0a8", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:42Z", - "source_url": "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47033" - }, - "query": "Get the vehicle's full name along with its photo and tank size" - }, - { - "id": "liveweb-ie-e9c64a5cab3cdbe497bd", - "url": "https://huggingface.co/papers/date/2024-09-25", - "domain": "huggingface", - "site": "huggingface", - "values": { - "paper_link": [ - "/papers/2409.16191", - "/papers/2409.16160", - "/papers/2409.15700", - "/papers/2409.15272", - "/papers/2409.16235", - "/papers/2409.14128", - "/papers/2409.16280", - "/papers/2409.16211", - "/papers/2409.16143", - "/papers/2409.16040", - "/papers/2409.15997", - "/papers/2409.16283", - "/papers/2409.17143", - "/papers/2409.15360", - "/papers/2409.15933", - "/papers/2409.13156", - "/papers/2409.12192", - "/papers/2409.13882" - ] - }, - "schema": { - "type": "object", - "properties": { - "paper_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Please extract all paper links.; target attribute: paper_link" - } - }, - "required": [ - "paper_link" - ] - }, - "input": "dataset/html/liveweb-ie-e9c64a5cab3cdbe497bd.html", - "input_sha256": "c05dcad207af55c6cefbc58e521beeab106618c537545d306ac56319ea4714e4", - "assets": [], - "value_kinds": { - "paper_link": "url" - }, - "source_value_counts": { - "paper_link": { - "/papers/2409.16191": 1, - "/papers/2409.16160": 1, - "/papers/2409.15700": 1, - "/papers/2409.15272": 1, - "/papers/2409.16235": 1, - "/papers/2409.14128": 1, - "/papers/2409.16280": 1, - "/papers/2409.16211": 1, - "/papers/2409.16143": 1, - "/papers/2409.16040": 1, - "/papers/2409.15997": 1, - "/papers/2409.16283": 1, - "/papers/2409.17143": 1, - "/papers/2409.15360": 1, - "/papers/2409.15933": 1, - "/papers/2409.13156": 1, - "/papers/2409.12192": 1, - "/papers/2409.13882": 1 - } - }, - "original_reference": { - "paper_link": [ - "/papers/2409.16191", - "/papers/2409.16160", - "/papers/2409.15700", - "/papers/2409.15272", - "/papers/2409.16235", - "/papers/2409.14128", - "/papers/2409.16280", - "/papers/2409.16211", - "/papers/2409.16143", - "/papers/2409.16040", - "/papers/2409.15997", - "/papers/2409.16283", - "/papers/2409.17143", - "/papers/2409.15360", - "/papers/2409.15933", - "/papers/2409.13156", - "/papers/2409.12192", - "/papers/2409.13882" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "c05dcad207af55c6cefbc58e521beeab106618c537545d306ac56319ea4714e4", - "reference_sha256": "5575405ae532ad719b2b78bb48ccd5f544fdf50d8138962ba3296e5c8b933d15", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:37Z", - "source_url": "https://huggingface.co/papers/date/2024-09-25" - }, - "query": "Please extract all paper links." - }, - { - "id": "liveweb-ie-345f61ec30afdc73ad99", - "url": "https://iclr.cc/virtual/2025/papers.html?filter=title&search=game", - "domain": "iclr", - "site": "iclr", - "values": { - "title": [ - "Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games", - "Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models", - "A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence", - "Diffusion Models Are Real-Time Game Engines", - "Field-DiT: Diffusion Transformer on Unified Video, 3D, and Game Field Generation", - "Strength Estimation and Human-Like Strength Adjustment in Games", - "Monte Carlo Planning with Large Language Model for Text-Based Game Agents", - "Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games", - "Do LLM Agents Have Regret? A Case Study in Online Learning and Games", - "When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings", - "On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions", - "Unbounded: A Generative Infinite Game of Character Life Simulation", - "Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies", - "Learning Regularized Graphon Mean-Field Games with Unknown Graphons", - "Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design", - "The Complexity of Two-Team Polymatrix Games with Independent Adversaries", - "GameGen-X: Interactive Open-world Game Video Generation", - "BANGS: Game-theoretic Node Selection for Graph Self-Training", - "BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games", - "GameArena: Evaluating LLM Reasoning through Live Computer Games", - "Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games", - "Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation", - "Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games?", - "Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games", - "Rethinking Shapley Value for Negative Interactions in Non-convex Games", - "Classic but Everlasting: Traditional Gradient-Based Algorithms Converge Fast Even in Time-Varying Multi-Player Games", - "Are Large Vision Language Models Good Game Players?" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract all paper titles.; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-345f61ec30afdc73ad99.html", - "input_sha256": "5f314623db79e15a595517c9dd69504723879920b1714800d288d5067755da1b", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games": 1, - "Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models": 1, - "A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence": 1, - "Diffusion Models Are Real-Time Game Engines": 1, - "Field-DiT: Diffusion Transformer on Unified Video, 3D, and Game Field Generation": 1, - "Strength Estimation and Human-Like Strength Adjustment in Games": 1, - "Monte Carlo Planning with Large Language Model for Text-Based Game Agents": 1, - "Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games": 1, - "Do LLM Agents Have Regret? A Case Study in Online Learning and Games": 1, - "When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings": 1, - "On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions": 1, - "Unbounded: A Generative Infinite Game of Character Life Simulation": 1, - "Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies": 1, - "Learning Regularized Graphon Mean-Field Games with Unknown Graphons": 1, - "Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design": 1, - "The Complexity of Two-Team Polymatrix Games with Independent Adversaries": 1, - "GameGen-X: Interactive Open-world Game Video Generation": 1, - "BANGS: Game-theoretic Node Selection for Graph Self-Training": 1, - "BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games": 1, - "GameArena: Evaluating LLM Reasoning through Live Computer Games": 1, - "Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games": 1, - "Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation": 1, - "Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games?": 1, - "Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games": 1, - "Rethinking Shapley Value for Negative Interactions in Non-convex Games": 1, - "Classic but Everlasting: Traditional Gradient-Based Algorithms Converge Fast Even in Time-Varying Multi-Player Games": 1, - "Are Large Vision Language Models Good Game Players?": 1 - } - }, - "original_reference": { - "title": [ - "Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games", - "Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models", - "A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence", - "Diffusion Models Are Real-Time Game Engines", - "Field-DiT: Diffusion Transformer on Unified Video, 3D, and Game Field Generation", - "Strength Estimation and Human-Like Strength Adjustment in Games", - "Monte Carlo Planning with Large Language Model for Text-Based Game Agents", - "Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games", - "Do LLM Agents Have Regret? A Case Study in Online Learning and Games", - "When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings", - "On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions", - "Unbounded: A Generative Infinite Game of Character Life Simulation", - "Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies", - "Learning Regularized Graphon Mean-Field Games with Unknown Graphons", - "Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design", - "The Complexity of Two-Team Polymatrix Games with Independent Adversaries", - "GameGen-X: Interactive Open-world Game Video Generation", - "BANGS: Game-theoretic Node Selection for Graph Self-Training", - "BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games", - "GameArena: Evaluating LLM Reasoning through Live Computer Games", - "Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games", - "Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation", - "Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games?", - "Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games", - "Rethinking Shapley Value for Negative Interactions in Non-convex Games", - "Classic but Everlasting: Traditional Gradient-Based Algorithms Converge Fast Even in Time-Varying Multi-Player Games", - "Are Large Vision Language Models Good Game Players?" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "5f314623db79e15a595517c9dd69504723879920b1714800d288d5067755da1b", - "reference_sha256": "d7d3b5e4ae0a5e56419a2ad91239504b3cabb20fa4b8b1a05ce8922603568b35", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [ - { - "field": "title", - "original": "Do LLM Agents Have Regret? A Case Study in Online Learning and Games", - "accepted": "Do LLM Agents Have Regret? A Case Study in Online Learning and Games", - "source_sha256": "5f314623db79e15a595517c9dd69504723879920b1714800d288d5067755da1b", - "reason": "whitespace and source-supported HTML entity decoding only" - } - ], - "observed_at": "2026-11-06T10:07:10Z", - "source_url": "https://iclr.cc/virtual/2025/papers.html?filter=title&search=game" - }, - "query": "Extract all paper titles." - }, - { - "id": "liveweb-ie-1c4cc97bcd111b9cf7e2", - "url": "https://icml.cc/virtual/2025/papers.html?filter=title&search=document", - "domain": "icml", - "site": "icml", - "values": { - "title": [ - "NExtLong: Toward Effective Long-Context Training without Long Documents", - "DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning", - "DocVXQA: Context-Aware Visual Explanations for Document Question Answering" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve every paper title; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-1c4cc97bcd111b9cf7e2.html", - "input_sha256": "afafcb569f6fbd533a15426e759451e5b7964d5204d056b9da2ad18a8fba327f", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "NExtLong: Toward Effective Long-Context Training without Long Documents": 1, - "DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning": 1, - "DocVXQA: Context-Aware Visual Explanations for Document Question Answering": 1 - } - }, - "original_reference": { - "title": [ - "NExtLong: Toward Effective Long-Context Training without Long Documents", - "DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning", - "DocVXQA: Context-Aware Visual Explanations for Document Question Answering" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "afafcb569f6fbd533a15426e759451e5b7964d5204d056b9da2ad18a8fba327f", - "reference_sha256": "2c354db8162ffd357bf7240dd86a5451a764eadff4e73c87eb4d73231931ca42", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:23Z", - "source_url": "https://icml.cc/virtual/2025/papers.html?filter=title&search=document" - }, - "query": "Retrieve every paper title" - }, - { - "id": "liveweb-ie-196ce23d10885b31ccf1", - "url": "https://marinespecies.org/photogallery.php?album=2509&pic=107452", - "domain": "marinespecies", - "site": "marinespecies", - "values": { - "author": [ - "Nozères, Claude" - ], - "photo_title": [ - "Hamingia arctica from cod stomach" - ], - "species": [ - "Echiura (spoon worms)" - ] - }, - "schema": { - "type": "object", - "properties": { - "author": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the author name, photo title, and species name from the webpage.; target attribute: author" - }, - "photo_title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the author name, photo title, and species name from the webpage.; target attribute: photo_title" - }, - "species": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the author name, photo title, and species name from the webpage.; target attribute: species" - } - }, - "required": [ - "author", - "photo_title", - "species" - ] - }, - "input": "dataset/html/liveweb-ie-196ce23d10885b31ccf1.html", - "input_sha256": "c88e5486a1e84108ed2bdeb9a2e4641add89225963d064f5f704a6cc4f026a2c", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "author": { - "Nozères, Claude": 1 - }, - "photo_title": { - "Hamingia arctica from cod stomach": 1 - }, - "species": { - "Echiura (spoon worms)": 1 - } - }, - "original_reference": { - "author": [ - "Nozères, Claude" - ], - "photo_title": [ - "Hamingia arctica from cod stomach" - ], - "species": [ - "Echiura (spoon worms)" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "c88e5486a1e84108ed2bdeb9a2e4641add89225963d064f5f704a6cc4f026a2c", - "reference_sha256": "bea9ad9dfe657221da42a0a1369ed76b98c407f14be4e91ac72e67fecf4b046d", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:30Z", - "source_url": "https://marinespecies.org/photogallery.php?album=2509&pic=107452" - }, - "query": "Retrieve the author name, photo title, and species name from the webpage." - }, - { - "id": "liveweb-ie-a6423905a2d214d6fe9d", - "url": "https://neurips.cc/virtual/2024/papers.html?filter=title&search=score", - "domain": "neurips", - "site": "neurips", - "values": { - "title": [ - "Score-Optimal Diffusion Schedules", - "Efficient Leverage Score Sampling for Tensor Train Decomposition", - "Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models", - "Rethinking Score Distillation as a Bridge Between Image Distributions", - "EigenVI: score-based variational inference with orthogonal function expansions", - "Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation", - "APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments", - "DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction", - "GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks", - "Score-based 3D molecule generation with neural fields", - "Score-based generative models are provably robust: an uncertainty quantification perspective", - "One-Step Diffusion Distillation through Score Implicit Matching", - "Score Distillation via Reparametrized DDIM", - "GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models", - "Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information", - "Is Score Matching Suitable for Estimating Point Processes?", - "Cryptographic Hardness of Score Estimation", - "Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)", - "Local Curvature Smoothing with Stein's Identity for Efficient Score Matching", - "ID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling", - "Evaluating language models as risk scores", - "Revisiting Score Propagation in Graph Out-of-Distribution Detection", - "Propensity Score Alignment of Unpaired Multimodal Data", - "Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction", - "Hamiltonian Score Matching and Generative Flows", - "SCOREQ: Speech Quality Assessment with Contrastive Regression" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get the titles of every paper on this page; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-a6423905a2d214d6fe9d.html", - "input_sha256": "8a28650ae99a040eaeae1668c4d67380679b2083b93a8481e123390d7ba20479", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Score-Optimal Diffusion Schedules": 1, - "Efficient Leverage Score Sampling for Tensor Train Decomposition": 1, - "Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models": 1, - "Rethinking Score Distillation as a Bridge Between Image Distributions": 1, - "EigenVI: score-based variational inference with orthogonal function expansions": 1, - "Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation": 1, - "APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments": 1, - "DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction": 1, - "GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks": 1, - "Score-based 3D molecule generation with neural fields": 1, - "Score-based generative models are provably robust: an uncertainty quantification perspective": 1, - "One-Step Diffusion Distillation through Score Implicit Matching": 1, - "Score Distillation via Reparametrized DDIM": 1, - "GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models": 1, - "Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information": 1, - "Is Score Matching Suitable for Estimating Point Processes?": 1, - "Cryptographic Hardness of Score Estimation": 1, - "Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)": 1, - "Local Curvature Smoothing with Stein's Identity for Efficient Score Matching": 1, - "ID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling": 1, - "Evaluating language models as risk scores": 1, - "Revisiting Score Propagation in Graph Out-of-Distribution Detection": 1, - "Propensity Score Alignment of Unpaired Multimodal Data": 1, - "Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction": 1, - "Hamiltonian Score Matching and Generative Flows": 1, - "SCOREQ: Speech Quality Assessment with Contrastive Regression": 1 - } - }, - "original_reference": { - "title": [ - "Score-Optimal Diffusion Schedules", - "Efficient Leverage Score Sampling for Tensor Train Decomposition", - "Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models", - "Rethinking Score Distillation as a Bridge Between Image Distributions", - "EigenVI: score-based variational inference with orthogonal function expansions", - "Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation", - "APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments", - "DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction", - "GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks", - "Score-based 3D molecule generation with neural fields", - "Score-based generative models are provably robust: an uncertainty quantification perspective", - "One-Step Diffusion Distillation through Score Implicit Matching", - "Score Distillation via Reparametrized DDIM", - "GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models", - "Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information", - "Is Score Matching Suitable for Estimating Point Processes?", - "Cryptographic Hardness of Score Estimation", - "Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)", - "Local Curvature Smoothing with Stein's Identity for Efficient Score Matching", - "ID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling", - "Evaluating language models as risk scores", - "Revisiting Score Propagation in Graph Out-of-Distribution Detection", - "Propensity Score Alignment of Unpaired Multimodal Data", - "Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction", - "Hamiltonian Score Matching and Generative Flows", - "SCOREQ: Speech Quality Assessment with Contrastive Regression" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "8a28650ae99a040eaeae1668c4d67380679b2083b93a8481e123390d7ba20479", - "reference_sha256": "63a57b95ba6bc6ae760ef0ba9334973db2343cec079d70a668f1a60919d5bc19", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [ - { - "field": "title", - "original": "APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments", - "accepted": "APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments", - "source_sha256": "8a28650ae99a040eaeae1668c4d67380679b2083b93a8481e123390d7ba20479", - "reason": "whitespace and source-supported HTML entity decoding only" - } - ], - "observed_at": "2026-11-06T10:07:16Z", - "source_url": "https://neurips.cc/virtual/2024/papers.html?filter=title&search=score" - }, - "query": "Get the titles of every paper on this page" - }, - { - "id": "liveweb-ie-f8033a9235d1e74f757c", - "url": "http://quotes.toscrape.com/page/8/", - "domain": "quotestoscrape", - "site": "quotestoscrape", - "values": { - "tag_link": [ - "/tag/friendship/page/1/", - "/tag/love/page/1/", - "/tag/humor/page/1/", - "/tag/open-mind/page/1/", - "/tag/thinking/page/1/", - "/tag/philosophy/page/1/", - "/tag/authors/page/1/", - "/tag/books/page/1/", - "/tag/literature/page/1/", - "/tag/reading/page/1/", - "/tag/writing/page/1/", - "/tag/insanity/page/1/", - "/tag/lies/page/1/", - "/tag/lying/page/1/", - "/tag/self-indulgence/page/1/", - "/tag/truth/page/1/", - "/tag/beatles/page/1/", - "/tag/connection/page/1/", - "/tag/dreamers/page/1/", - "/tag/dreaming/page/1/", - "/tag/dreams/page/1/", - "/tag/hope/page/1/", - "/tag/inspirational/page/1/", - "/tag/peace/page/1/", - "/tag/sinister/page/1/", - "/tag/classic/page/1/" - ], - "author_profile_link": [ - "/author/Alfred-Tennyson", - "/author/Charles-Bukowski", - "/author/Terry-Pratchett", - "/author/Dr-Seuss", - "/author/J-D-Salinger", - "/author/George-Carlin", - "/author/John-Lennon", - "/author/W-C-Fields", - "/author/Ayn-Rand", - "/author/Mark-Twain" - ] - }, - "schema": { - "type": "object", - "properties": { - "tag_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get the entire list of quote tag links together with their author links; target attribute: tag_link" - }, - "author_profile_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get the entire list of quote tag links together with their author links; target attribute: author_profile_link" - } - }, - "required": [ - "tag_link", - "author_profile_link" - ] - }, - "input": "dataset/html/liveweb-ie-f8033a9235d1e74f757c.html", - "input_sha256": "a6a1f6b51cec1b9703973f95f74af8b357b5605e0c2db14e7b2d86c760de92d5", - "assets": [], - "value_kinds": { - "tag_link": "url", - "author_profile_link": "url" - }, - "source_value_counts": { - "tag_link": { - "/tag/friendship/page/1/": 1, - "/tag/love/page/1/": 1, - "/tag/humor/page/1/": 5, - "/tag/open-mind/page/1/": 1, - "/tag/thinking/page/1/": 1, - "/tag/philosophy/page/1/": 1, - "/tag/authors/page/1/": 1, - "/tag/books/page/1/": 2, - "/tag/literature/page/1/": 1, - "/tag/reading/page/1/": 2, - "/tag/writing/page/1/": 1, - "/tag/insanity/page/1/": 1, - "/tag/lies/page/1/": 1, - "/tag/lying/page/1/": 1, - "/tag/self-indulgence/page/1/": 1, - "/tag/truth/page/1/": 1, - 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"/products/239", - "/products/240", - "/products/241", - "/products/242", - "/products/243", - "/products/244", - "/products/245", - "/products/246", - "/products/247", - "/products/248", - "/products/249", - "/products/250", - "/products/251", - "/products/252", - "/products/253", - "/products/254", - "/products/255", - "/products/256" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Collect every game title along with its image and link; target attribute: title" - }, - "image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Collect every game title along with its image and link; target attribute: image" - }, - "link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Collect every game title along with its image and link; target attribute: link" - } - }, - "required": [ - "title", - "image", - "link" - ] - }, - "input": "dataset/html/liveweb-ie-af14eb14ff4e4984e757.html", - 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"Thirty Flights of Loving", - "Hearthstone: Heroes of Warcraft", - "Unity of Command II", - "Ghost of Tsushima: Director's Cut", - "Grand Theft Auto: Liberty City Stories", - "Medieval II: Total War", - "Super Mario Maker 2", - "Sly 2: Band of Thieves" - ], - "image": [ - "/assets/driving.svg", - "/assets/role-playing.svg", - "/assets/action-adventure.svg", - "/assets/action.svg", - "/assets/role-playing.svg", - "/assets/action-adventure.svg", - "/assets/action.svg", - "/assets/action.svg", - "/assets/strategy.svg", - "/assets/action-adventure.svg", - "/assets/strategy.svg", - "/assets/action.svg", - "/assets/strategy.svg", - "/assets/sports.svg", - "/assets/action.svg", - "/assets/action-adventure.svg", - "/assets/role-playing.svg", - "/assets/miscellaneous.svg", - "/assets/action.svg", - "/assets/role-playing.svg", - "/assets/action.svg", - "/assets/action.svg", - "/assets/sports.svg", - "/assets/action.svg", - "/assets/adventure.svg", - "/assets/card-battle.svg", - "/assets/strategy.svg", - 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"wins": { - "26": 2, - "62": 1, - "30": 1, - "41": 2, - "34": 3, - "24": 1, - "40": 2, - "37": 1, - "22": 1, - "18": 1, - "45": 1, - "49": 1, - "20": 1, - "32": 3, - "38": 1, - "39": 1, - "36": 2 - } - }, - "original_reference": { - "wins": [ - "26", - "62", - "30", - "41", - "34", - "24", - "40", - "37", - "22", - "41", - "18", - "45", - "49", - "20", - "32", - "38", - "34", - "32", - "39", - "36", - "36", - "26", - "40", - "32", - "34" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "079fb1dcc7dde522d2bdcda211a87b62933db5de66e4cffbfc592986f970da09", - "reference_sha256": "5ecd9c48df91bb63bce550098c7ebebc3d50312e22012865d1fa3b040292cf97", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:58Z", - "source_url": "https://www.scrapethissite.com/pages/forms/?page_num=6" - }, - "query": "List the total wins for every hockey team." - }, - { - "id": "liveweb-ie-65a6a94cbbc79730347e", - 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"https://arxiv.org/search/cs?searchtype=author&query=Zhou,+Y": 1, - "https://arxiv.org/search/cs?searchtype=author&query=Zheng,+Y": 1, - "https://arxiv.org/search/cs?searchtype=author&query=Tang,+Z": 1, - "https://arxiv.org/search/cs?searchtype=author&query=He,+X": 1, - "https://arxiv.org/search/cs?searchtype=author&query=Guo,+R": 1, - "https://arxiv.org/search/cs?searchtype=author&query=Wang,+X": 1, - "https://arxiv.org/search/cs?searchtype=author&query=Wang,+Q": 1, - "https://arxiv.org/search/cs?searchtype=author&query=Zhou,+A+C": 1, - "https://arxiv.org/search/cs?searchtype=author&query=Chu,+X": 1 - } - }, - "original_reference": { - "author_profile_link": [ - "https://arxiv.org/search/cs?searchtype=author&query=Wang,+Y", - "https://arxiv.org/search/cs?searchtype=author&query=Chen,+Y", - "https://arxiv.org/search/cs?searchtype=author&query=Li,+Z", - "https://arxiv.org/search/cs?searchtype=author&query=Kang,+X", - "https://arxiv.org/search/cs?searchtype=author&query=Fang,+Y", - "https://arxiv.org/search/cs?searchtype=author&query=Zhou,+Y", - "https://arxiv.org/search/cs?searchtype=author&query=Zheng,+Y", - "https://arxiv.org/search/cs?searchtype=author&query=Tang,+Z", - "https://arxiv.org/search/cs?searchtype=author&query=He,+X", - "https://arxiv.org/search/cs?searchtype=author&query=Guo,+R", - "https://arxiv.org/search/cs?searchtype=author&query=Wang,+X", - "https://arxiv.org/search/cs?searchtype=author&query=Wang,+Q", - "https://arxiv.org/search/cs?searchtype=author&query=Zhou,+A+C", - "https://arxiv.org/search/cs?searchtype=author&query=Chu,+X" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "62a5cc76366ba5c487e2a2e43b44cf822846b65eaf8fb82b42854c78b432b763", - "reference_sha256": "169ecd28216a791f607d18be464eddb14b5363dcca345dc9905e517df715a06b", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:05Z", - "source_url": "https://arxiv.org/abs/2401.17644" - }, - "query": "Fetch the set of URLs that point to detailed author information" - }, - { - "id": "liveweb-ie-e170824c238f69a4c91b", - "url": "https://books.toscrape.com/catalogue/its-only-the-himalayas_981/index.html", - "domain": "booktoscrape", - "site": "booktoscrape", - "values": { - "stock_status": [ - "In stock (19 available)" - ], - "book_image": [ - "../../media/cache/6d/41/6d418a73cc7d4ecfd75ca11d854041db.jpg" - ] - }, - "schema": { - "type": "object", - "properties": { - "stock_status": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Scrape the book stock status and associated image; target attribute: stock_status" - }, - "book_image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Scrape the book stock status and associated image; target attribute: book_image" - } - }, - "required": [ - "stock_status", - "book_image" - ] - }, - "input": "dataset/html/liveweb-ie-e170824c238f69a4c91b.html", - "input_sha256": "497c688e0b97a2754f4bc7fb5575838054c50d6fc149961d64ec1f49197ec3dc", - "assets": [], - "value_kinds": { - "book_image": "url" - }, - "source_value_counts": { - "stock_status": { - "In stock (19 available)": 1 - }, - "book_image": { - "../../media/cache/6d/41/6d418a73cc7d4ecfd75ca11d854041db.jpg": 1 - } - }, - "original_reference": { - "stock_status": [ - "In stock (19 available)" - ], - "book_image": [ - "../../media/cache/6d/41/6d418a73cc7d4ecfd75ca11d854041db.jpg" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "497c688e0b97a2754f4bc7fb5575838054c50d6fc149961d64ec1f49197ec3dc", - "reference_sha256": "a76eb6d3a2b809efe89d03da811123e231cbad604d13d16b30edbe74f985b1c5", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:14Z", - "source_url": "https://books.toscrape.com/catalogue/its-only-the-himalayas_981/index.html" - }, - "query": "Scrape the book stock status and associated image" - }, - { - "id": "liveweb-ie-501040d68f78fa974ca2", - "url": "https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2022&year2=2022&make=MINI&baseModel=Cooper&srchtyp=ymm&pageno=1&rowLimit=50", - "domain": "fueleconomy", - "site": "fueleconomy", - "values": { - "vehicle_link": [ - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43953", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43779", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43784", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43786", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43828", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43829", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43780", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43785", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43787", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43822", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43788", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43789", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43781" - ] - }, - "schema": { - "type": "object", - "properties": { - "vehicle_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the detail links of all cars; target attribute: vehicle_link" - } - }, - "required": [ - "vehicle_link" - ] - }, - "input": "dataset/html/liveweb-ie-501040d68f78fa974ca2.html", - "input_sha256": "934efa053742a98f4cc99da95566013de05e7ec289b38a5a357be57a0c1c4a6f", - "assets": [], - "value_kinds": { - "vehicle_link": "url" - }, - "source_value_counts": { - "vehicle_link": { - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43953": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43779": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43784": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43786": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43828": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43829": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43780": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43785": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43787": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43822": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43788": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43789": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43781": 1 - } - }, - "original_reference": { - "vehicle_link": [ - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43953", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43779", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43784", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43786", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43828", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43829", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43780", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43785", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43787", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43822", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43788", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43789", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=43781" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "934efa053742a98f4cc99da95566013de05e7ec289b38a5a357be57a0c1c4a6f", - "reference_sha256": "6070b00e960c8d6d727bf3f2b048b4075b452b8e8a6fe0ec0ece95745fd288d3", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:42Z", - "source_url": "https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2022&year2=2022&make=MINI&baseModel=Cooper&srchtyp=ymm&pageno=1&rowLimit=50" - }, - "query": "Extract the detail links of all cars" - }, - { - "id": "liveweb-ie-c75814f8608deb1f4fd2", - "url": "https://huggingface.co/papers/2408.15545", - "domain": "huggingface", - "site": "huggingface", - "values": { - "title": [ - "SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the title of the research paper.; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-c75814f8608deb1f4fd2.html", - "input_sha256": "31ba238cdb76bdbbd2168119230b709ea0dbfed6200d07c4e48352be75864349", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding": 1 - } - }, - "original_reference": { - "title": [ - "SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "31ba238cdb76bdbbd2168119230b709ea0dbfed6200d07c4e48352be75864349", - "reference_sha256": "cf2c798ff6b1a54cff96a0f9eacd60cd71ff803fd90840ab3a9e9dfaf65e04e2", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:37Z", - "source_url": "https://huggingface.co/papers/2408.15545" - }, - "query": "Retrieve the title of the research paper." - }, - { - "id": "liveweb-ie-4ef40ef66cbd52cc4562", - "url": "https://iclr.cc/virtual/2025/poster/30880", - "domain": "iclr", - "site": "iclr", - "values": { - "title": [ - "Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the title of the paper; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-4ef40ef66cbd52cc4562.html", - "input_sha256": "f35e70f45c38902b9a2f3b46cab82947efac997b4a880a00eae3c4490ff6085b", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters": 1 - } - }, - "original_reference": { - "title": [ - "Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "f35e70f45c38902b9a2f3b46cab82947efac997b4a880a00eae3c4490ff6085b", - "reference_sha256": "53c4169240fbb96180df9a525eb3bbfad6a1da576731c8a8405e1c44a399455d", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:09Z", - "source_url": "https://iclr.cc/virtual/2025/poster/30880" - }, - "query": "Extract the title of the paper" - }, - { - "id": "liveweb-ie-1a7cb2399fe7395e77c4", - "url": "https://icml.cc/virtual/2025/poster/43874", - "domain": "icml", - "site": "icml", - "values": { - "title": [ - "Observation Interference in Partially Observable Assistance Games" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the title for this paper; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-1a7cb2399fe7395e77c4.html", - "input_sha256": "920451cc14cf4b97520b80809db531ed45843225bceb0fc6a713110c941ec968", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Observation Interference in Partially Observable Assistance Games": 1 - } - }, - "original_reference": { - "title": [ - "Observation Interference in Partially Observable Assistance Games" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "920451cc14cf4b97520b80809db531ed45843225bceb0fc6a713110c941ec968", - "reference_sha256": "03b895d4224acdebafb085dbc705af0b865740a68cdf7a848c2e4f8ddeb686f1", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:23Z", - "source_url": "https://icml.cc/virtual/2025/poster/43874" - }, - "query": "Retrieve the title for this paper" - }, - { - "id": "liveweb-ie-a6c59d83af240054a1b6", - "url": "https://marinespecies.org/photogallery.php?album=2509&pic=107453", - "domain": "marinespecies", - "site": "marinespecies", - "values": { - "author": [ - "Nozères, Claude" - ] - }, - "schema": { - "type": "object", - "properties": { - "author": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the name of this author of the photo; target attribute: author" - } - }, - "required": [ - "author" - ] - }, - "input": "dataset/html/liveweb-ie-a6c59d83af240054a1b6.html", - "input_sha256": "6b673650a798ad97aaaa85cd8ac71e7b282137bc88dae61365be0dd356ab7173", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "author": { - "Nozères, Claude": 1 - } - }, - "original_reference": { - "author": [ - "Nozères, Claude" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "6b673650a798ad97aaaa85cd8ac71e7b282137bc88dae61365be0dd356ab7173", - "reference_sha256": "921e1661719f5447f84f8e4a0cb42e4b4ed9589daf829841d0318476a91fe7ef", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:30Z", - "source_url": "https://marinespecies.org/photogallery.php?album=2509&pic=107453" - }, - "query": "Extract the name of this author of the photo" - }, - { - "id": "liveweb-ie-e5d8763f5f9ea9909ec8", - "url": "https://neurips.cc/virtual/2024/poster/95668", - "domain": "neurips", - "site": "neurips", - "values": { - "title": [ - "KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get the paper's title; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-e5d8763f5f9ea9909ec8.html", - "input_sha256": "f757af1d454cef411f1346249d7dd3623be5f3c2a0056479e7cacb335c550f80", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis": 1 - } - }, - "original_reference": { - "title": [ - "KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "f757af1d454cef411f1346249d7dd3623be5f3c2a0056479e7cacb335c550f80", - "reference_sha256": "1a89a368df4b719e12c5317612e4f9bfab6c1f8abd4944b676de27606bb43ea9", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:16Z", - "source_url": "https://neurips.cc/virtual/2024/poster/95668" - }, - "query": "Get the paper's title" - }, - { - "id": "liveweb-ie-4545be59b232fadab8e2", - "url": "http://quotes.toscrape.com/author/James-Baldwin", - "domain": "quotestoscrape", - "site": "quotestoscrape", - "values": { - "author": [ - "James Baldwin" - ] - }, - "schema": { - "type": "object", - "properties": { - "author": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Fetch the quote author's name; target attribute: author" - } - }, - "required": [ - "author" - ] - }, - "input": "dataset/html/liveweb-ie-4545be59b232fadab8e2.html", - "input_sha256": "e7a68a792ae66b2c60d65c3ec0e9b6804381b9ff740fa63aaccd8f15232980fb", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "author": { - "James Baldwin": 1 - } - }, - "original_reference": { - "author": [ - "James Baldwin" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "e7a68a792ae66b2c60d65c3ec0e9b6804381b9ff740fa63aaccd8f15232980fb", - "reference_sha256": "c9e375adb163c4b3049d3356ad4d346dbc2cd1da99e24785d92cfffff0b41a2f", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:09Z", - "source_url": "http://quotes.toscrape.com/author/James-Baldwin" - }, - "query": "Fetch the quote author's name" - }, - { - "id": "liveweb-ie-1a93157928d13ae1ac35", - "url": "https://sandbox.oxylabs.io/products/525", - "domain": "sandboxoxlabio", - "site": "sandboxoxlabio", - "values": { - "developer": [ - "Bloober Team" - ], - "title": [ - "Observer: System Redux" - ] - }, - "schema": { - "type": "object", - "properties": { - "developer": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the game developer and game title together.; target attribute: developer" - }, - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the game developer and game title together.; target attribute: title" - } - }, - "required": [ - "developer", - "title" - ] - }, - "input": "dataset/html/liveweb-ie-1a93157928d13ae1ac35.html", - "input_sha256": "d2984adafa43b719ec0d4f66e858c970a9a431abf0869d1e96e5c81b04c43713", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "developer": { - "Bloober Team": 1 - }, - "title": { - "Observer: System Redux": 1 - } - }, - "original_reference": { - "developer": [ - "Bloober Team" - ], - "title": [ - "Observer: System Redux" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "d2984adafa43b719ec0d4f66e858c970a9a431abf0869d1e96e5c81b04c43713", - "reference_sha256": "c99cc58fd0994d99d869f6c67c1d9e812565e007fc7ebf690f7054485e516075", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:04Z", - "source_url": "https://sandbox.oxylabs.io/products/525" - }, - "query": "Retrieve the game developer and game title together." - }, - { - "id": "liveweb-ie-95cdd4bce7643f2bcb7b", - "url": "https://www.scrapethissite.com/pages/forms/?page_num=4", - "domain": "scrapethissite", - "site": "scrapethissite", - "values": { - "wins": [ - "33", - "27", - "41", - "47", - "36", - "52", - "14", - "35", - "44", - "34", - "40", - "30", - "43", - "39", - "24", - "16", - "22", - "17" - ] - }, - "schema": { - "type": "object", - "properties": { - "wins": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Tell me the wins of all hockey teams; target attribute: wins" - } - }, - "required": [ - "wins" - ] - }, - "input": "dataset/html/liveweb-ie-95cdd4bce7643f2bcb7b.html", - "input_sha256": "51c989b77749fea034bd198c8faaa75305a13e5ceebb73d01f3149e1c43b6384", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "wins": { - "33": 3, - "27": 3, - "41": 2, - "47": 1, - "36": 1, - "52": 1, - "14": 1, - "35": 1, - "44": 1, - "34": 1, - "40": 1, - "30": 1, - "43": 1, - "39": 1, - "24": 3, - "16": 1, - "22": 1, - "17": 1 - } - }, - "original_reference": { - "wins": [ - "33", - "27", - "27", - "41", - "47", - "36", - "52", - "14", - "35", - "44", - "34", - "33", - "40", - "30", - "43", - "41", - "39", - "24", - "16", - "27", - "22", - "24", - "24", - "17", - "33" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "51c989b77749fea034bd198c8faaa75305a13e5ceebb73d01f3149e1c43b6384", - "reference_sha256": "377b005db39d4857758929ba448edb1c4dc4c44be32ece800773604588faf399", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:58Z", - "source_url": "https://www.scrapethissite.com/pages/forms/?page_num=4" - }, - "query": "Tell me the wins of all hockey teams" - }, - { - "id": "liveweb-ie-5d40a7fa3b9555019cc9", - "url": "https://www.thecocktaildb.com/drink/12674-fruit-shake", - "domain": "thecocktaildb", - "site": "thecocktaildb", - "values": { - "ingredient_link": [ - "/ingredient/533-yoghurt", - "/ingredient/47-banana", - "/ingredient/352-orange-juice", - "/ingredient/222-fruit", - "/ingredient/270-ice" - ] - }, - "schema": { - "type": "object", - "properties": { - "ingredient_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "What are the detail links for every ingredient in the drink?; target attribute: ingredient_link" - } - }, - "required": [ - "ingredient_link" - ] - }, - "input": "dataset/html/liveweb-ie-5d40a7fa3b9555019cc9.html", - "input_sha256": "ff54054878be128b531df1f3b6c72fd0417ab1dacb3b8f81ccb7ac9241582983", - "assets": [], - "value_kinds": { - "ingredient_link": "url" - }, - "source_value_counts": { - "ingredient_link": { - "/ingredient/533-yoghurt": 1, - "/ingredient/47-banana": 1, - "/ingredient/352-orange-juice": 1, - "/ingredient/222-fruit": 1, - "/ingredient/270-ice": 1 - } - }, - "original_reference": { - "ingredient_link": [ - "/ingredient/533-yoghurt", - "/ingredient/47-banana", - "/ingredient/352-orange-juice", - "/ingredient/222-fruit", - "/ingredient/270-ice" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "ff54054878be128b531df1f3b6c72fd0417ab1dacb3b8f81ccb7ac9241582983", - "reference_sha256": "fa0034a135b8c23e49b654b808a6d6db7f013316120cc0e70cfeb3b68b9fb3f1", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:55Z", - "source_url": "https://www.thecocktaildb.com/drink/12674-fruit-shake" - }, - "query": "What are the detail links for every ingredient in the drink?" - }, - { - "id": "liveweb-ie-a779d92bdcb1f297e626", - "url": "https://www.themealdb.com/meal/52961-budino-di-ricotta-recipe", - "domain": "themealdb", - "site": "themealdb", - "values": { - "meal": [ - "Budino Di Ricotta" - ] - }, - "schema": { - "type": "object", - "properties": { - "meal": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Give me the name of the food; target attribute: meal" - } - }, - "required": [ - "meal" - ] - }, - "input": "dataset/html/liveweb-ie-a779d92bdcb1f297e626.html", - "input_sha256": "262304638945a541c0333d8e7c9dda02fc3828a1d9f787a9f9b5274a1e26c26d", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "meal": { - "Budino Di Ricotta": 1 - } - }, - "original_reference": { - "meal": [ - "Budino Di Ricotta" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "262304638945a541c0333d8e7c9dda02fc3828a1d9f787a9f9b5274a1e26c26d", - "reference_sha256": "da42b468fee9617b8111581fa0d9ddef395483e50eda8593b1257bacf5b222d1", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:50Z", - "source_url": "https://www.themealdb.com/meal/52961-budino-di-ricotta-recipe" - }, - "query": "Give me the name of the food" - }, - { - "id": "liveweb-ie-d070e4bfc888d1f10fc9", - "url": "https://www.thesportsdb.com/event/1665658-portugal-vs-switzerland", - "domain": "thesportsdb", - "site": "thesportsdb", - "values": { - "team_badge": [ - "https://r2.thesportsdb.com/images/media/team/badge/swqvpy1455466083.png/medium", - "https://r2.thesportsdb.com/images/media/team/badge/mb7yqe1717365808.png/medium" - ], - "lineup": [ - "Silva", - "Fernandes", - "Pepe", - "Dias", - "Guerreiro", - "Carvalho", - "Ramos", - "Félix", - "Costa", - "Otávio", - "Dalot", - "Xhaka", - "Akanji", - "Schär", - "Rodriguez", - "Embolo", - "Sommer", - "Freuler", - "Sow", - "Shaqiri", - "Vargas" - ] - }, - "schema": { - "type": "object", - "properties": { - "team_badge": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the team badges and player rosters for this match.; target attribute: team_badge" - }, - "lineup": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the team badges and player rosters for this match.; target attribute: lineup" - } - }, - "required": [ - "team_badge", - "lineup" - ] - }, - "input": "dataset/html/liveweb-ie-d070e4bfc888d1f10fc9.html", - "input_sha256": "014acb29229afa7e1cfe31f4e77d4564f204cfdc506e62c4a3f730d502d687f4", - "assets": [], - "value_kinds": { - "team_badge": "url" - }, - "source_value_counts": { - "team_badge": { - "https://r2.thesportsdb.com/images/media/team/badge/swqvpy1455466083.png/medium": 1, - "https://r2.thesportsdb.com/images/media/team/badge/mb7yqe1717365808.png/medium": 1 - }, - "lineup": { - "Silva": 1, - "Fernandes": 2, - "Pepe": 1, - "Dias": 1, - "Guerreiro": 1, - "Carvalho": 1, - "Ramos": 1, - "Félix": 1, - "Costa": 1, - "Otávio": 1, - "Dalot": 1, - "Xhaka": 1, - "Akanji": 1, - "Schär": 1, - "Rodriguez": 1, - "Embolo": 1, - "Sommer": 1, - "Freuler": 1, - "Sow": 1, - "Shaqiri": 1, - "Vargas": 1 - } - }, - "original_reference": { - "team_badge": [ - "https://r2.thesportsdb.com/images/media/team/badge/swqvpy1455466083.png/medium", - "https://r2.thesportsdb.com/images/media/team/badge/mb7yqe1717365808.png/medium" - ], - "lineup": [ - "Silva", - "Fernandes", - "Pepe", - "Dias", - "Guerreiro", - "Carvalho", - "Ramos", - "Félix", - "Costa", - "Otávio", - "Dalot", - "Xhaka", - "Akanji", - "Schär", - "Rodriguez", - "Embolo", - "Sommer", - "Fernandes", - "Freuler", - "Sow", - "Shaqiri", - "Vargas" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "014acb29229afa7e1cfe31f4e77d4564f204cfdc506e62c4a3f730d502d687f4", - "reference_sha256": "f1b930e92892e7f89724d3a0a64ee94aa68dccfb246a77c312bb4f2acb446b6c", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:47Z", - "source_url": "https://www.thesportsdb.com/event/1665658-portugal-vs-switzerland" - }, - "query": "Extract the team badges and player rosters for this match." - }, - { - "id": "liveweb-ie-8862030ebd6f70125a21", - "url": "https://arxiv.org/list/cs.GT/2024-01", - "domain": "arxiv", - "site": "arxiv", - "values": { - "author_profile_link": [ - "https://arxiv.org/search/cs?searchtype=author&query=Huttenlocher,+D", - "https://arxiv.org/search/cs?searchtype=author&query=Li,+H", - "https://arxiv.org/search/cs?searchtype=author&query=Lyu,+L", - "https://arxiv.org/search/cs?searchtype=author&query=Ozdaglar,+A", - "https://arxiv.org/search/cs?searchtype=author&query=Siderius,+J", - "https://arxiv.org/search/cs?searchtype=author&query=Sun,+H", - 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"https://arxiv.org/search/cs?searchtype=author&query=Tennenholtz,+M", - "https://arxiv.org/search/cs?searchtype=author&query=Iwase,+T", - "https://arxiv.org/search/cs?searchtype=author&query=Beynier,+A", - "https://arxiv.org/search/cs?searchtype=author&query=Bredeche,+N", - "https://arxiv.org/search/cs?searchtype=author&query=Maudet,+N", - "https://arxiv.org/search/cs?searchtype=author&query=Marden,+J+R", - "https://arxiv.org/search/cs?searchtype=author&query=Takazawa,+K", - "https://arxiv.org/search/cs?searchtype=author&query=Diamond,+N", - "https://arxiv.org/search/cs?searchtype=author&query=Murai,+F", - "https://arxiv.org/search/cs?searchtype=author&query=Kawase,+Y", - "https://arxiv.org/search/cs?searchtype=author&query=Roy,+B", - "https://arxiv.org/search/cs?searchtype=author&query=Sanpui,+M+A", - "https://arxiv.org/search/cs?searchtype=author&query=Yang,+J", - "https://arxiv.org/search/cs?searchtype=author&query=Li,+P", - "https://arxiv.org/search/cs?searchtype=author&query=Islam,+M+J", - "https://arxiv.org/search/cs?searchtype=author&query=Ren,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Islam,+K+A", - "https://arxiv.org/search/cs?searchtype=author&query=Chen,+D+Q", - "https://arxiv.org/search/cs?searchtype=author&query=Marathe,+M", - "https://arxiv.org/search/cs?searchtype=author&query=Mortveit,+H", - "https://arxiv.org/search/cs?searchtype=author&query=Swarup,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Vullikanti,+A", - "https://arxiv.org/search/cs?searchtype=author&query=Sankar,+V+U", - "https://arxiv.org/search/cs?searchtype=author&query=Rao,+V+S", - "https://arxiv.org/search/cs?searchtype=author&query=Narahari,+Y", - "https://arxiv.org/search/cs?searchtype=author&query=Berger,+A", - "https://arxiv.org/search/cs?searchtype=author&query=Rouhani,+A", - "https://arxiv.org/search/cs?searchtype=author&query=Schr%C3%B6der,+M", - "https://arxiv.org/search/cs?searchtype=author&query=Sonawane,+P", - "https://arxiv.org/search/cs?searchtype=author&query=Chheda,+A", - "https://arxiv.org/search/cs?searchtype=author&query=Liang,+J", - "https://arxiv.org/search/cs?searchtype=author&query=Amenta,+N", - "https://arxiv.org/search/cs?searchtype=author&query=Hsu,+K", - "https://arxiv.org/search/cs?searchtype=author&query=Fournier,+G", - "https://arxiv.org/search/cs?searchtype=author&query=Schr%C3%B6der,+M", - "https://arxiv.org/search/cs?searchtype=author&query=Sun,+Z", - "https://arxiv.org/search/cs?searchtype=author&query=Yamada,+N", - "https://arxiv.org/search/cs?searchtype=author&query=Takenami,+Y", - "https://arxiv.org/search/cs?searchtype=author&query=Moriwaki,+D", - "https://arxiv.org/search/cs?searchtype=author&query=Yokoo,+M", - "https://arxiv.org/search/cs?searchtype=author&query=Li,+J", - "https://arxiv.org/search/cs?searchtype=author&query=Wang,+Q", - "https://arxiv.org/search/cs?searchtype=author&query=Feng,+L", - "https://arxiv.org/search/cs?searchtype=author&query=Xie,+J", - "https://arxiv.org/search/cs?searchtype=author&query=Nie,+Y+M", - "https://arxiv.org/search/cs?searchtype=author&query=Marug%C3%A1n,+A+P", - "https://arxiv.org/search/cs?searchtype=author&query=M%C3%A1rquez,+F+P+G", - "https://arxiv.org/search/cs?searchtype=author&query=P%C3%A9rez,+J+M+P", - "https://arxiv.org/search/cs?searchtype=author&query=Varul", - "https://arxiv.org/search/cs?searchtype=author&query=Gujar,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Lafourcade,+P", - "https://arxiv.org/search/cs?searchtype=author&query=Dadi,+L", - "https://arxiv.org/search/cs?searchtype=author&query=Panageas,+I", - "https://arxiv.org/search/cs?searchtype=author&query=Skoulakis,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Viano,+L", - "https://arxiv.org/search/cs?searchtype=author&query=Cevher,+V", - "https://arxiv.org/search/cs?searchtype=author&query=Immorlica,+N", - "https://arxiv.org/search/cs?searchtype=author&query=Jagadeesan,+M", - "https://arxiv.org/search/cs?searchtype=author&query=Lucier,+B", - "https://arxiv.org/search/cs?searchtype=author&query=Latifian,+M", - "https://arxiv.org/search/cs?searchtype=author&query=Voudouris,+A+A", - "https://arxiv.org/search/cs?searchtype=author&query=Nayak,+S+P", - "https://arxiv.org/search/cs?searchtype=author&query=Schmuck,+A", - "https://arxiv.org/search/cs?searchtype=author&query=Li,+Z", - "https://arxiv.org/search/cs?searchtype=author&query=Guo,+Z", - "https://arxiv.org/search/cs?searchtype=author&query=Xia,+L", - "https://arxiv.org/search/cs?searchtype=author&query=Cao,+Y", - "https://arxiv.org/search/cs?searchtype=author&query=Wang,+H", - "https://arxiv.org/search/cs?searchtype=author&query=Seidi,+N", - "https://arxiv.org/search/cs?searchtype=author&query=Su,+Y", - "https://arxiv.org/search/cs?searchtype=author&query=Yang,+P", - "https://arxiv.org/search/cs?searchtype=author&query=Kang,+K", - "https://arxiv.org/search/cs?searchtype=author&query=Wang,+Z", - "https://arxiv.org/search/cs?searchtype=author&query=Qi,+N", - "https://arxiv.org/search/cs?searchtype=author&query=Liu,+T", - "https://arxiv.org/search/cs?searchtype=author&query=Liu,+F", - "https://arxiv.org/search/cs?searchtype=author&query=Babaioff,+M", - "https://arxiv.org/search/cs?searchtype=author&query=Frey,+A", - "https://arxiv.org/search/cs?searchtype=author&query=Nisan,+N", - "https://arxiv.org/search/cs?searchtype=author&query=Wang,+C", - "https://arxiv.org/search/cs?searchtype=author&query=Perc,+M", - "https://arxiv.org/search/cs?searchtype=author&query=Szolnoki,+A", - "https://arxiv.org/search/cs?searchtype=author&query=Faliszewski,+P", - "https://arxiv.org/search/cs?searchtype=author&query=Lackner,+M", - "https://arxiv.org/search/cs?searchtype=author&query=Sornat,+K", - "https://arxiv.org/search/cs?searchtype=author&query=Szufa,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Chhabra,+J", - "https://arxiv.org/search/cs?searchtype=author&query=Deshmukh,+J", - "https://arxiv.org/search/cs?searchtype=author&query=Malavalli,+A", - "https://arxiv.org/search/cs?searchtype=author&query=Sama,+K", - "https://arxiv.org/search/cs?searchtype=author&query=Srinath", - "https://arxiv.org/search/cs?searchtype=author&query=Bahrani,+M", - "https://arxiv.org/search/cs?searchtype=author&query=Garimidi,+P", - "https://arxiv.org/search/cs?searchtype=author&query=Roughgarden,+T", - "https://arxiv.org/search/cs?searchtype=author&query=Djehiche,+B", - "https://arxiv.org/search/cs?searchtype=author&query=Tembine,+H", - "https://arxiv.org/search/cs?searchtype=author&query=Goktas,+D", - "https://arxiv.org/search/cs?searchtype=author&query=Prakash,+A", - "https://arxiv.org/search/cs?searchtype=author&query=Greenwald,+A", - "https://arxiv.org/search/cs?searchtype=author&query=Maity,+D", - "https://arxiv.org/search/cs?searchtype=author&query=Von+Moll,+A", - "https://arxiv.org/search/cs?searchtype=author&query=Shishika,+D", - "https://arxiv.org/search/cs?searchtype=author&query=Dorothy,+M", - "https://arxiv.org/search/cs?searchtype=author&query=Bhaskara,+A", - "https://arxiv.org/search/cs?searchtype=author&query=Gollapudi,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Im,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Kollias,+K", - "https://arxiv.org/search/cs?searchtype=author&query=Munagala,+K", - "https://arxiv.org/search/cs?searchtype=author&query=Sankar,+G+S", - "https://arxiv.org/search/cs?searchtype=author&query=Damle,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Padala,+M", - "https://arxiv.org/search/cs?searchtype=author&query=Gujar,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Kolpaczki,+P", - "https://arxiv.org/search/cs?searchtype=author&query=Muschalik,+M", - "https://arxiv.org/search/cs?searchtype=author&query=Fumagalli,+F", - "https://arxiv.org/search/cs?searchtype=author&query=Hammer,+B", - "https://arxiv.org/search/cs?searchtype=author&query=H%C3%BCllermeier,+E", - "https://arxiv.org/search/cs?searchtype=author&query=Caragiannis,+I", - "https://arxiv.org/search/cs?searchtype=author&query=Kalantzis,+G", - "https://arxiv.org/search/cs?searchtype=author&query=Liu,+P", - "https://arxiv.org/search/cs?searchtype=author&query=Xiao,+H", - "https://arxiv.org/search/cs?searchtype=author&query=Lu,+T", - "https://arxiv.org/search/cs?searchtype=author&query=Fang,+Q", - "https://arxiv.org/search/cs?searchtype=author&query=Collins,+B", - "https://arxiv.org/search/cs?searchtype=author&query=Xu,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Brown,+P+N", - "https://arxiv.org/search/cs?searchtype=author&query=Liu,+Y", - "https://arxiv.org/search/cs?searchtype=author&query=Ni,+B", - "https://arxiv.org/search/cs?searchtype=author&query=Shen,+W", - "https://arxiv.org/search/cs?searchtype=author&query=Wang,+Z", - "https://arxiv.org/search/cs?searchtype=author&query=Zhang,+J", - "https://arxiv.org/search/cs?searchtype=author&query=Hummel,+H", - "https://arxiv.org/search/cs?searchtype=author&query=Igarashi,+A", - "https://arxiv.org/search/cs?searchtype=author&query=Hartline,+J+D", - "https://arxiv.org/search/cs?searchtype=author&query=Long,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Zhang,+C" - ], - "pdf_link": [ - "/pdf/2401.00313", - "/pdf/2401.00747", - "/pdf/2401.01149", - "/pdf/2401.01185", - "/pdf/2401.01516", - "/pdf/2401.01656", - "/pdf/2401.01735", - "/pdf/2401.02666", - "/pdf/2401.03671", - "/pdf/2401.03752", - "/pdf/2401.03861", - "/pdf/2401.04264", - "/pdf/2401.04318", - "/pdf/2401.04340", - "/pdf/2401.04371", - "/pdf/2401.05683", - "/pdf/2401.05740", - "/pdf/2401.06168", - "/pdf/2401.07440", - "/pdf/2401.07490", - "/pdf/2401.07732", - "/pdf/2401.07761", - "/pdf/2401.08013", - "/pdf/2401.08251", - "/pdf/2401.08988", - "/pdf/2401.09449", - "/pdf/2401.09628", - "/pdf/2401.09804", - "/pdf/2401.09858", - "/pdf/2401.09957", - "/pdf/2401.10122", - "/pdf/2401.10469", - "/pdf/2401.11090", - "/pdf/2401.11596", - "/pdf/2401.11686", - "/pdf/2401.11870", - "/pdf/2401.11881", - "/pdf/2401.12120", - "/pdf/2401.12321", - "/pdf/2401.12437", - "/pdf/2401.12848", - "/pdf/2401.13053", - "/pdf/2401.13262", - "/pdf/2401.13371", - "/pdf/2401.13384", - "/pdf/2401.13535", - "/pdf/2401.13815", - "/pdf/2401.14613", - "/pdf/2401.14825", - "/pdf/2401.15794" - ] - }, - "unscored_fields": {}, - 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"input_sha256": "f974743a47e8769cc3ed53197093c5b6735d3b95d333136ef51b2a0f4b932e2d", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "count": { - "7": 1 - } - }, - "original_reference": { - "count": [ - "7" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "f974743a47e8769cc3ed53197093c5b6735d3b95d333136ef51b2a0f4b932e2d", - "reference_sha256": "7d2129f67e9d4bc698a08bc3d76302864516f80a59d68407c949e94286d86700", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:15Z", - "source_url": "https://books.toscrape.com/catalogue/category/books/religion_12/index.html" - }, - "query": "Return the number of books" - }, - { - "id": "liveweb-ie-c1b2329401e9aa002a72", - "url": "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47298", - "domain": "fueleconomy", - "site": "fueleconomy", - "values": { - "vehicle_image": [ - "https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera_4_Cabrio.jpg" - ], - "vehicle": [ - "2024 Porsche 911 Carrera 4S Cabriolet" - ] - }, - "schema": { - "type": "object", - "properties": { - "vehicle_image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the car name and its image from the page.; target attribute: vehicle_image" - }, - "vehicle": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the car name and its image from the page.; target attribute: vehicle" - } - }, - "required": [ - "vehicle_image", - "vehicle" - ] - }, - "input": "dataset/html/liveweb-ie-c1b2329401e9aa002a72.html", - "input_sha256": "dee9631e169724e14576ffa4e507bcca8f90d23f1d4ce357aa7ed5ae2582e77c", - "assets": [], - "value_kinds": { - "vehicle_image": "url" - }, - "source_value_counts": { - "vehicle_image": { - "https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera_4_Cabrio.jpg": 1 - }, - "vehicle": { - "2024 Porsche 911 Carrera 4S Cabriolet": 1 - } - }, - "original_reference": { - "vehicle_image": [ - "https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera_4_Cabrio.jpg" - ], - "vehicle": [ - "2024 Porsche 911 Carrera 4S Cabriolet" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "dee9631e169724e14576ffa4e507bcca8f90d23f1d4ce357aa7ed5ae2582e77c", - "reference_sha256": "2a00b98645e68c6300a498502ff4ee304d6e3110c4cf92727fe68c6b4ea42879", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:42Z", - "source_url": "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47298" - }, - "query": "Extract the car name and its image from the page." - }, - { - "id": "liveweb-ie-f6c05fcc0004616289a9", - "url": "https://huggingface.co/papers/date/2024-06-11", - "domain": "huggingface", - "site": "huggingface", - "values": { - "author_count": [ - "7", - "4", - "8", - "34", - "10", - "9", - "6" - ] - }, - "schema": { - "type": "object", - "properties": { - "author_count": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Show me the list of author counts for all papers; target attribute: author_count" - } - }, - "required": [ - "author_count" - ] - }, - "input": "dataset/html/liveweb-ie-f6c05fcc0004616289a9.html", - "input_sha256": "344a0a4df3575cb9521ad28dda3b9f2005dcc10c280d487b40a7944453bdd2fe", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "author_count": { - "7": 3, - "4": 1, - "8": 1, - "34": 1, - "10": 2, - "9": 2, - "6": 4 - } - }, - "original_reference": { - "author_count": [ - "7", - "4", - "8", - "34", - "7", - "10", - "9", - "6", - "9", - "7", - "6", - "6", - "6", - "10" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "344a0a4df3575cb9521ad28dda3b9f2005dcc10c280d487b40a7944453bdd2fe", - "reference_sha256": "a221b2e30c139ab010846ff7e3b80e584de1fe83e6005b7af122f1420ca72da3", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:38Z", - "source_url": "https://huggingface.co/papers/date/2024-06-11" - }, - "query": "Show me the list of author counts for all papers" - }, - { - "id": "liveweb-ie-4933f59397004d5f6808", - "url": "https://iclr.cc/virtual/2025/papers.html?filter=title&search=play", - "domain": "iclr", - "site": "iclr", - "values": { - "title": [ - "Effective Interplay between Sparsity and Quantization: From Theory to Practice", - "SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models", - "Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games", - "Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory", - "InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences", - "Classic but Everlasting: Traditional Gradient-Based Algorithms Converge Fast Even in Time-Varying Multi-Player Games", - "Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models", - "Prioritized Generative Replay", - "Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering", - "SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration", - "Self-Play Preference Optimization for Language Model Alignment", - "X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale", - "Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition", - "Are Large Vision Language Models Good Game Players?", - "Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning", - "Text-to-Image Rectified Flow as Plug-and-Play Priors", - "MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents", - "Advancing Prompt-Based Methods for Replay-Independent General Continual Learning", - "When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings", - "PnP-Flow: Plug-and-Play Image Restoration with Flow Matching", - "AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract all paper titles.; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-4933f59397004d5f6808.html", - "input_sha256": "dbaa4306206402a68df9d7f65c4061eb58e5df1e59650cfceac0dfbbf4ef4c83", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Effective Interplay between Sparsity and Quantization: From Theory to Practice": 1, - "SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models": 1, - "Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games": 1, - 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"Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning": 1, - "Text-to-Image Rectified Flow as Plug-and-Play Priors": 1, - "MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents": 1, - "Advancing Prompt-Based Methods for Replay-Independent General Continual Learning": 1, - "When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings": 1, - "PnP-Flow: Plug-and-Play Image Restoration with Flow Matching": 1, - "AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials": 1 - } - }, - "original_reference": { - "title": [ - "Effective Interplay between Sparsity and Quantization: From Theory to Practice", - "SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models", - "Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games", - "Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory", - "InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences", - "Classic but Everlasting: Traditional Gradient-Based Algorithms Converge Fast Even in Time-Varying Multi-Player Games", - "Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models", - "Prioritized Generative Replay", - "Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering", - "SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration", - "Self-Play Preference Optimization for Language Model Alignment", - "X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale", - "Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition", - "Are Large Vision Language Models Good Game Players?", - "Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning", - "Text-to-Image Rectified Flow as Plug-and-Play Priors", - "MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents", - "Advancing Prompt-Based Methods for Replay-Independent General Continual Learning", - "When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings", - "PnP-Flow: Plug-and-Play Image Restoration with Flow Matching", - "AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "dbaa4306206402a68df9d7f65c4061eb58e5df1e59650cfceac0dfbbf4ef4c83", - "reference_sha256": "5ca910b545be8e40f3c4011d3e522cc0be84a9035b86025e5240c2db9937373f", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:09Z", - "source_url": "https://iclr.cc/virtual/2025/papers.html?filter=title&search=play" - }, - "query": "Extract all paper titles." - }, - { - "id": "liveweb-ie-d26c3d14c985e2bef386", - "url": "https://icml.cc/virtual/2025/papers.html?filter=title&search=vlm", - "domain": "icml", - "site": "icml", - "values": { - "title": [ - "Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems", - "DS-VLM: Diffusion Supervision Vision Language Model", - "LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models", - "Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning", - "Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting", - "CoMemo: LVLMs Need Image Context with Image Memory", - "Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?", - "Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration", - "DIS-CO: Discovering Copyrighted Content in VLMs Training Data", - "From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs", - "Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas", - "SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference", - "Probing Visual Language Priors in VLMs", - "Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision", - "TRUST-VLM: Thorough Red-Teaming for Uncovering Safety Threats in Vision-Language Models" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve every paper title; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-d26c3d14c985e2bef386.html", - "input_sha256": "cbe348ce4be9b08404c4ccb172ad6d9ac8db66e47b8c2617b4e22d150a514474", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems": 1, - "DS-VLM: Diffusion Supervision Vision Language Model": 1, - "LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models": 1, - "Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning": 1, - "Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting": 1, - "CoMemo: LVLMs Need Image Context with Image Memory": 1, - "Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?": 1, - "Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration": 1, - "DIS-CO: Discovering Copyrighted Content in VLMs Training Data": 1, - "From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs": 1, - "Why Is Spatial Reasoning Hard for VLMs? 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An Attention Mechanism Perspective on Focus Areas", - "SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference", - "Probing Visual Language Priors in VLMs", - "Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision", - "TRUST-VLM: Thorough Red-Teaming for Uncovering Safety Threats in Vision-Language Models" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "cbe348ce4be9b08404c4ccb172ad6d9ac8db66e47b8c2617b4e22d150a514474", - "reference_sha256": "568b7a13572a79e5aee837d9a124d38aee383e189ccea629f37282fb0ecfd89f", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:23Z", - "source_url": "https://icml.cc/virtual/2025/papers.html?filter=title&search=vlm" - }, - "query": "Retrieve every paper title" - }, - { - "id": "liveweb-ie-d00db1ff4231d1719ade", - "url": "https://marinespecies.org/photogallery.php?album=2509&pic=162800", - "domain": "marinespecies", - "site": "marinespecies", - "values": { - "author_profile_link": [ - "imis.php?module=person&persid=41992" - ], - "photo_title": [ - "Bonellia viridis, Fig.2" - ] - }, - "schema": { - "type": "object", - "properties": { - "author_profile_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the author link and the photo title from the page.; target attribute: author_profile_link" - }, - "photo_title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the author link and the photo title from the page.; target attribute: photo_title" - } - }, - "required": [ - "author_profile_link", - "photo_title" - ] - }, - "input": "dataset/html/liveweb-ie-d00db1ff4231d1719ade.html", - "input_sha256": "a9161a61c14dc69a595113efd7f1074a152d0e6ad2cecace49c1038171fc644f", - "assets": [], - "value_kinds": { - "author_profile_link": "url" - }, - "source_value_counts": { - "author_profile_link": { - "imis.php?module=person&persid=41992": 1 - }, - "photo_title": { - "Bonellia viridis, Fig.2": 1 - } - }, - "original_reference": { - "author_profile_link": [ - "imis.php?module=person&persid=41992" - ], - "photo_title": [ - "Bonellia viridis, Fig.2" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "a9161a61c14dc69a595113efd7f1074a152d0e6ad2cecace49c1038171fc644f", - "reference_sha256": "360bdeb1eac232cedebc83f5ccdd69a5ed9c0b3cba720a28e1d825332eda98a0", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:31Z", - "source_url": "https://marinespecies.org/photogallery.php?album=2509&pic=162800" - }, - "query": "Retrieve the author link and the photo title from the page." - }, - { - "id": "liveweb-ie-916303eb74deed9430a0", - "url": "https://neurips.cc/virtual/2024/papers.html?filter=title&search=game", - "domain": "neurips", - "site": "neurips", - "values": { - "title": [ - "Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games", - 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"Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game", - "GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps", - "Convergence of $\\text{log}(1/\\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis", - "Extensive-Form Game Solving via Blackwell Approachability on Treeplexes", - "Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models", - "Bandits with Preference Feedback: A Stackelberg Game Perspective", - "Polynomial-Time Computation of Exact $\\Phi$-Equilibria in Polyhedral Games", - "GAVEL: Generating Games via Evolution and Language Models" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get the titles of every paper on this page; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-916303eb74deed9430a0.html", - "input_sha256": "bf46a546e17de056d419bdc8a91049e9cb68b951ff0f6050d019b7f636ee2809", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games": 1, - "Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games": 1, - "Regret Minimization in Stackelberg Games with Side Information": 1, - "Team-Fictitious Play for Reaching Team-Nash Equilibrium in Multi-team Games": 1, - "EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas": 1, - "Upping the Game: How 2D U-Net Skip Connections Flip 3D Segmentation": 1, - "Self-playing Adversarial Language Game Enhances LLM Reasoning": 1, - "Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models": 1, - "On Tractable $\\Phi$-Equilibria in Non-Concave Games": 1, - "Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms": 1, - 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"Paths to Equilibrium in Games": 1, - "Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding": 1, - "WhodunitBench: Evaluating Large Multimodal Agents via Murder Mystery Games": 1, - "Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions": 1, - "Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game": 1, - "GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps": 1, - "Convergence of $\\text{log}(1/\\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis": 1, - "Extensive-Form Game Solving via Blackwell Approachability on Treeplexes": 1, - "Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models": 1, - "Bandits with Preference Feedback: A Stackelberg Game Perspective": 1, - "Polynomial-Time Computation of Exact $\\Phi$-Equilibria in Polyhedral Games": 1, - "GAVEL: Generating Games via Evolution and Language Models": 1 - } - }, - "original_reference": { - "title": [ - "Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games", - "Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games", - "Regret Minimization in Stackelberg Games with Side Information", - "Team-Fictitious Play for Reaching Team-Nash Equilibrium in Multi-team Games", - "EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas", - "Upping the Game: How 2D U-Net Skip Connections Flip 3D Segmentation", - "Self-playing Adversarial Language Game Enhances LLM Reasoning", - "Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models", - "On Tractable $\\Phi$-Equilibria in Non-Concave Games", - "Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms", - "Efficient $\\Phi$-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games", - "Accelerated Regularized Learning in Finite N-Person Games", - "Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms", - "GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations", - "Learning the Expected Core of Strictly Convex Stochastic Cooperative Games", - "AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games", - "Learning Optimal Tax Design in Nonatomic Congestion Games", - "Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem", - "Local and Adaptive Mirror Descents in Extensive-Form Games", - "On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games", - "No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests", - "On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games", - "Paths to Equilibrium in Games", - "Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding", - "WhodunitBench: Evaluating Large Multimodal Agents via Murder Mystery Games", - "Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions", - "Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game", - "GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps", - "Convergence of $\\text{log}(1/\\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis", - "Extensive-Form Game Solving via Blackwell Approachability on Treeplexes", - "Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models", - "Bandits with Preference Feedback: A Stackelberg Game Perspective", - "Polynomial-Time Computation of Exact $\\Phi$-Equilibria in Polyhedral Games", - "GAVEL: Generating Games via Evolution and Language Models" - 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"url": "https://sandbox.oxylabs.io/products/category/xbox-platform/xbox-one", - "domain": "sandboxoxlabio", - "site": "sandboxoxlabio", - "values": { - "game_count": [ - "98" - ] - }, - "schema": { - "type": "object", - "properties": { - "game_count": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Identify how many games belong to the current platform; target attribute: game_count" - } - }, - "required": [ - "game_count" - ] - }, - "input": "dataset/html/liveweb-ie-14ce653f2f30c096e65f.html", - "input_sha256": "566685bb821fd8eae013919b3e169e54fe87b98708148e48c93e9e97b3d16231", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "game_count": { - "98": 1 - } - }, - "original_reference": { - "game_count": [ - "98" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "566685bb821fd8eae013919b3e169e54fe87b98708148e48c93e9e97b3d16231", - "reference_sha256": "1088da2a2ce15098dfead9edaa974d83307fc9a43aa310dced81892a84ad0eab", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:05Z", - "source_url": "https://sandbox.oxylabs.io/products/category/xbox-platform/xbox-one" - }, - "query": "Identify how many games belong to the current platform" - }, - { - "id": "liveweb-ie-37790f265045bace3597", - "url": "https://www.scrapethissite.com/pages/forms/?page_num=14", - "domain": "scrapethissite", - "site": "scrapethissite", - "values": { - "year": [ - "2002", - "2003" - ] - }, - "schema": { - "type": "object", - "properties": { - "year": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Return the whole set of years; target attribute: year" - } - }, - "required": [ - "year" - ] - }, - "input": "dataset/html/liveweb-ie-37790f265045bace3597.html", - "input_sha256": "dee2ea0d9fa4fe2b617a2323e67a2d188a39bdb85f066236b1bb4dface6e542d", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "year": { - "2002": 17, - "2003": 8 - } - }, - "original_reference": { - "year": [ - "2002", - "2002", - "2002", - "2002", - "2002", - "2002", - "2002", - "2002", - "2002", - "2002", - "2002", - "2002", - "2002", - "2002", - "2002", - "2002", - "2002", - "2003", - "2003", - "2003", - "2003", - "2003", - "2003", - "2003", - "2003" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "dee2ea0d9fa4fe2b617a2323e67a2d188a39bdb85f066236b1bb4dface6e542d", - "reference_sha256": "a8a4a5ea19035a5261a2c5594ab11de5af057edc798379660781e37a6cb10c60", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:58Z", - "source_url": "https://www.scrapethissite.com/pages/forms/?page_num=14" - }, - "query": "Return the whole set of years" - }, - { - "id": "liveweb-ie-24d2ea7ea337f70e41b7", - "url": "https://www.thecocktaildb.com/browse/letter/p", - "domain": "thecocktaildb", - "site": "thecocktaildb", - "values": { - "cocktail": [ - "Paloma", - "Paradise", - "Passion Fruit Martini", - "Pegu Club", - "Penicillin", - "Pina Colada", - "Pineapple Gingerale Smoothie", - "Pineapple Paloma", - "Pink Gin", - "Pink Lady", - "Pink Moon", - "Pink Panty Pulldowns", - "Pink Penocha", - "Pisco Sour", - "Planter's Punch", - "Planter’s Punch", - "Popped cherry", - "Poppy Cocktail", - "Pornstar Martini", - "Port And Starboard", - "Port Wine Cocktail", - "Port Wine Flip", - "Porto flip", - "Pure Passion", - "Pysch Vitamin Light" - ] - }, - "schema": { - "type": "object", - "properties": { - "cocktail": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Fetch the list of every drink's name; target attribute: cocktail" - } - }, - "required": [ - "cocktail" - ] - }, - "input": "dataset/html/liveweb-ie-24d2ea7ea337f70e41b7.html", - "input_sha256": "da7f7ca70d389b93db9990f5b11256d345779ea54c290a526f6b0d6958da7312", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "cocktail": { - "Paloma": 1, - "Paradise": 1, - "Passion Fruit Martini": 1, - "Pegu Club": 1, - "Penicillin": 1, - "Pina Colada": 1, - "Pineapple Gingerale Smoothie": 1, - "Pineapple Paloma": 1, - "Pink Gin": 1, - "Pink Lady": 1, - "Pink Moon": 1, - "Pink Panty Pulldowns": 1, - "Pink Penocha": 1, - "Pisco Sour": 1, - "Planter's Punch": 1, - "Planter’s Punch": 1, - "Popped cherry": 1, - "Poppy Cocktail": 1, - "Pornstar Martini": 1, - "Port And Starboard": 1, - "Port Wine Cocktail": 1, - "Port Wine Flip": 1, - "Porto flip": 1, - "Pure Passion": 1, - "Pysch Vitamin Light": 1 - } - }, - "original_reference": { - "cocktail": [ - "Paloma", - "Paradise", - "Passion Fruit Martini", - "Pegu Club", - "Penicillin", - "Pina Colada", - "Pineapple Gingerale Smoothie", - "Pineapple Paloma", - "Pink Gin", - "Pink Lady", - "Pink Moon", - "Pink Panty Pulldowns", - "Pink Penocha", - "Pisco Sour", - "Planter's Punch", - "Planter’s Punch", - "Popped cherry", - "Poppy Cocktail", - "Pornstar Martini", - "Port And Starboard", - "Port Wine Cocktail", - "Port Wine Flip", - "Porto flip", - "Pure Passion", - "Pysch Vitamin Light" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "da7f7ca70d389b93db9990f5b11256d345779ea54c290a526f6b0d6958da7312", - "reference_sha256": "8e07b150589a2fd052fbab6ee399fb36acc6c36504b850eead31d12c19bc46bc", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:54Z", - "source_url": "https://www.thecocktaildb.com/browse/letter/p" - }, - "query": "Fetch the list of every drink's name" - }, - { - "id": "liveweb-ie-14e42e3d04986de1bb11", - "url": "https://www.themealdb.com/browse/letter/y", - "domain": "themealdb", - "site": "themealdb", - "values": { - "meal_link": [ - "/meal/52871-yaki-udon-recipe" - ] - }, - "schema": { - "type": "object", - "properties": { - "meal_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "List every food with its detail link; target attribute: meal_link" - } - }, - "required": [ - "meal_link" - ] - }, - "input": "dataset/html/liveweb-ie-14e42e3d04986de1bb11.html", - "input_sha256": "c9627d472bb818080de88a7f5c7e397f4325169735e7346909946c92d430422c", - "assets": [], - "value_kinds": { - "meal_link": "url" - }, - "source_value_counts": { - "meal_link": { - "/meal/52871-yaki-udon-recipe": 1 - } - }, - "original_reference": { - "meal_link": [ - "/meal/52871-yaki-udon-recipe" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "c9627d472bb818080de88a7f5c7e397f4325169735e7346909946c92d430422c", - "reference_sha256": "8a3de1fe9f77bcffff4846f484e885278199c3f92d43c352508f2ef539dca845", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:50Z", - "source_url": "https://www.themealdb.com/browse/letter/y" - }, - "query": "List every food with its detail link" - }, - { - "id": "liveweb-ie-179c4caf33796c8e53d5", - "url": "https://www.thesportsdb.com/player/34146309-karim-benzema", - "domain": "thesportsdb", - "site": "thesportsdb", - "values": { - "profile_link": [ - "/player/34146309-karim-benzema" - ] - }, - "schema": { - "type": "object", - "properties": { - "profile_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Give me the link of the player detail; target attribute: profile_link" - } - }, - "required": [ - "profile_link" - ] - }, - "input": "dataset/html/liveweb-ie-179c4caf33796c8e53d5.html", - "input_sha256": "4e22dfeeb5ec7bc33347f34a0a2386bf3d29f9805b17a1672f4202712b133394", - "assets": [], - "value_kinds": { - "profile_link": "url" - }, - "source_value_counts": { - "profile_link": { - "/player/34146309-karim-benzema": 1 - } - }, - "original_reference": { - "profile_link": [ - "/player/34146309-karim-benzema" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "4e22dfeeb5ec7bc33347f34a0a2386bf3d29f9805b17a1672f4202712b133394", - "reference_sha256": "effcf94e3f7f5d385d0f25f6e59ff98b40f847bdc41be433165a511d63b8460f", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:47Z", - "source_url": "https://www.thesportsdb.com/player/34146309-karim-benzema" - }, - "query": "Give me the link of the player detail" - }, - { - "id": "liveweb-ie-22a135e4383ed1721753", - "url": "https://arxiv.org/abs/2401.08671", - "domain": "arxiv", - "site": "arxiv", - "values": { - "title": [ - "DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference" - ], - "pdf_link": [ - "/pdf/2401.08671" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the title and pdf links of the paper; target attribute: title" - }, - "pdf_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the title and pdf links of the paper; target attribute: pdf_link" - } - }, - "required": [ - "title", - "pdf_link" - ] - }, - "input": "dataset/html/liveweb-ie-22a135e4383ed1721753.html", - "input_sha256": "3be93cfdacbd2918cb944a01c83a137bdd7bd7b10935f8588d29e130b4537c32", - "assets": [], - "value_kinds": { - "pdf_link": "url" - }, - "source_value_counts": { - "title": { - "DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference": 1 - }, - "pdf_link": { - "/pdf/2401.08671": 1 - } - }, - "original_reference": { - "title": [ - "DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference" - ], - "pdf_link": [ - "/pdf/2401.08671" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "3be93cfdacbd2918cb944a01c83a137bdd7bd7b10935f8588d29e130b4537c32", - "reference_sha256": "0c6ccfbf3e7940061962d56dc646d46ec56711ca2a1bfdb8d3fdf1248683018b", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:05Z", - "source_url": "https://arxiv.org/abs/2401.08671" - }, - "query": "Extract the title and pdf links of the paper" - }, - { - "id": "liveweb-ie-b8059c9321bf3aec391e", - "url": "https://books.toscrape.com/catalogue/page-48.html", - "domain": "booktoscrape", - "site": "booktoscrape", - "values": { - "book_link": [ - "the-bhagavad-gita_60/index.html", - "the-bette-davis-club_59/index.html", - "the-art-of-not-breathing_58/index.html", - "taking-shots-assassins-1_57/index.html", - "starlark_56/index.html", - "skip-beat-vol-01-skip-beat-1_55/index.html", - "sister-sable-the-mad-queen-1_54/index.html", - "shatter-me-shatter-me-1_53/index.html", - "shameless_52/index.html", - "shadow-rites-jane-yellowrock-10_51/index.html", - "settling-the-score-the-summer-games-1_50/index.html", - "sense-and-sensibility_49/index.html", - "saga-volume-1-saga-collected-editions-1_48/index.html", - "rhythm-chord-malykhin_47/index.html", - "rat-queens-vol-1-sass-sorcery-rat-queens-collected-editions-1-5_46/index.html", - "paradise-lost-paradise-1_45/index.html", - "paper-girls-vol-1-paper-girls-1-5_44/index.html", - "ouran-high-school-host-club-vol-1-ouran-high-school-host-club-1_43/index.html", - "origins-alphas-05_42/index.html", - "one-second-seven-7_41/index.html" - ] - }, - "schema": { - "type": "object", - "properties": { - "book_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract all book links; target attribute: book_link" - } - }, - "required": [ - "book_link" - ] - }, - "input": "dataset/html/liveweb-ie-b8059c9321bf3aec391e.html", - "input_sha256": "6edb9a3537722edca0e6cfd10f2fb24c030dd63bdb11acd2718d05e16e5974b4", - "assets": [], - "value_kinds": { - "book_link": "url" - }, - "source_value_counts": { - "book_link": { - "the-bhagavad-gita_60/index.html": 1, - "the-bette-davis-club_59/index.html": 1, - "the-art-of-not-breathing_58/index.html": 1, - "taking-shots-assassins-1_57/index.html": 1, - "starlark_56/index.html": 1, - "skip-beat-vol-01-skip-beat-1_55/index.html": 1, - "sister-sable-the-mad-queen-1_54/index.html": 1, - "shatter-me-shatter-me-1_53/index.html": 1, - "shameless_52/index.html": 1, - "shadow-rites-jane-yellowrock-10_51/index.html": 1, - "settling-the-score-the-summer-games-1_50/index.html": 1, - "sense-and-sensibility_49/index.html": 1, - "saga-volume-1-saga-collected-editions-1_48/index.html": 1, - "rhythm-chord-malykhin_47/index.html": 1, - "rat-queens-vol-1-sass-sorcery-rat-queens-collected-editions-1-5_46/index.html": 1, - "paradise-lost-paradise-1_45/index.html": 1, - "paper-girls-vol-1-paper-girls-1-5_44/index.html": 1, - "ouran-high-school-host-club-vol-1-ouran-high-school-host-club-1_43/index.html": 1, - "origins-alphas-05_42/index.html": 1, - "one-second-seven-7_41/index.html": 1 - } - }, - "original_reference": { - "book_link": [ - "the-bhagavad-gita_60/index.html", - "the-bette-davis-club_59/index.html", - "the-art-of-not-breathing_58/index.html", - "taking-shots-assassins-1_57/index.html", - "starlark_56/index.html", - "skip-beat-vol-01-skip-beat-1_55/index.html", - "sister-sable-the-mad-queen-1_54/index.html", - "shatter-me-shatter-me-1_53/index.html", - "shameless_52/index.html", - "shadow-rites-jane-yellowrock-10_51/index.html", - "settling-the-score-the-summer-games-1_50/index.html", - "sense-and-sensibility_49/index.html", - "saga-volume-1-saga-collected-editions-1_48/index.html", - "rhythm-chord-malykhin_47/index.html", - "rat-queens-vol-1-sass-sorcery-rat-queens-collected-editions-1-5_46/index.html", - "paradise-lost-paradise-1_45/index.html", - "paper-girls-vol-1-paper-girls-1-5_44/index.html", - "ouran-high-school-host-club-vol-1-ouran-high-school-host-club-1_43/index.html", - "origins-alphas-05_42/index.html", - "one-second-seven-7_41/index.html" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "6edb9a3537722edca0e6cfd10f2fb24c030dd63bdb11acd2718d05e16e5974b4", - "reference_sha256": "843a38b6b44b4d08f1c7130689cd1f93fa2c615a4d41b51288f96b630ba2bd1e", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:15Z", - "source_url": "https://books.toscrape.com/catalogue/page-48.html" - }, - "query": "Extract all book links" - }, - { - "id": "liveweb-ie-2c6ec2dabae75c2b3212", - "url": "https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2023&year2=2023&make=Porsche&baseModel=Taycan&srchtyp=ymm&pageno=1&rowLimit=50", - "domain": "fueleconomy", - "site": "fueleconomy", - "values": { - "annual_fuel_cost": [ - "$900", - "$950", - "$1,000" - ] - }, - "schema": { - "type": "object", - "properties": { - "annual_fuel_cost": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Please extract all annual fuel cost for each car; target attribute: annual_fuel_cost" - } - }, - "required": [ - "annual_fuel_cost" - ] - }, - "input": "dataset/html/liveweb-ie-2c6ec2dabae75c2b3212.html", - "input_sha256": "5cf3e1668c35e2626bc7e0513c41fdcb747ecb084536e923e82804b4ddae9f8b", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "annual_fuel_cost": { - "$900": 3, - "$950": 7, - "$1,000": 2 - } - }, - "original_reference": { - "annual_fuel_cost": [ - "$900", - "$900", - "$900", - "$950", - "$950", - "$950", - "$950", - "$950", - "$950", - "$950", - "$1,000", - "$1,000" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "5cf3e1668c35e2626bc7e0513c41fdcb747ecb084536e923e82804b4ddae9f8b", - "reference_sha256": "6d2e19fbafbfee3912bb40117ad18aff8e40f38842e5183407a9759c40e991a0", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:43Z", - "source_url": "https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2023&year2=2023&make=Porsche&baseModel=Taycan&srchtyp=ymm&pageno=1&rowLimit=50" - }, - "query": "Please extract all annual fuel cost for each car" - }, - { - "id": "liveweb-ie-2dd9023d9d4ef701bb3c", - "url": "https://huggingface.co/papers/2408.17253", - "domain": "huggingface", - "site": "huggingface", - "values": { - "author": [ - "Mouxiang Chen", - "Lefei Shen", - "Zhuo Li", - "Xiaoyun Joy Wang", - "Jianling Sun", - "Chenghao Liu" - ] - }, - "schema": { - "type": "object", - "properties": { - "author": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Can you fetch all the names of the authors?; target attribute: author" - } - }, - "required": [ - "author" - ] - }, - "input": "dataset/html/liveweb-ie-2dd9023d9d4ef701bb3c.html", - "input_sha256": "a6cec47e764a52119997d6a1173ad93e59bc21f7c34fcf9230365ca858d60004", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "author": { - "Mouxiang Chen": 1, - "Lefei Shen": 1, - "Zhuo Li": 1, - "Xiaoyun Joy Wang": 1, - "Jianling Sun": 1, - "Chenghao Liu": 1 - } - }, - "original_reference": { - "author": [ - "Mouxiang Chen", - "Lefei Shen", - "Zhuo Li", - "Xiaoyun Joy Wang", - "Jianling Sun", - "Chenghao Liu" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "a6cec47e764a52119997d6a1173ad93e59bc21f7c34fcf9230365ca858d60004", - "reference_sha256": "6dd87e0a4791b9ad5dc82df1cc5e061309cddd14e87fa4a9fbac6f35db9bb7fb", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:38Z", - "source_url": "https://huggingface.co/papers/2408.17253" - }, - "query": "Can you fetch all the names of the authors?" - }, - { - "id": "liveweb-ie-f0dc801506ecbd9489c4", - "url": "https://iclr.cc/virtual/2025/poster/30748", - "domain": "iclr", - "site": "iclr", - "values": { - "title": [ - "Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the title of the research paper.; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-f0dc801506ecbd9489c4.html", - "input_sha256": "3a5447905738085b5c30cb99f6ceb2d26d92484a5053cbf96e97de651b72c258", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models": 1 - } - }, - "original_reference": { - "title": [ - "Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "3a5447905738085b5c30cb99f6ceb2d26d92484a5053cbf96e97de651b72c258", - "reference_sha256": "537b12b826331e90b0b136379daa0f57dcbb4d645f5a54696ac1622f7c6270e7", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:09Z", - "source_url": "https://iclr.cc/virtual/2025/poster/30748" - }, - "query": "Retrieve the title of the research paper." - }, - { - "id": "liveweb-ie-754ffe1c10555ff01bd8", - "url": "https://icml.cc/virtual/2025/poster/44762", - "domain": "icml", - "site": "icml", - "values": { - "title": [ - "Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Fetch the title of this paper.; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-754ffe1c10555ff01bd8.html", - "input_sha256": "8fd021afb676ade86d311ce026c266444424a69cc16c04d611f63425444d60b2", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting": 1 - } - }, - "original_reference": { - "title": [ - "Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "8fd021afb676ade86d311ce026c266444424a69cc16c04d611f63425444d60b2", - "reference_sha256": "c67b903a7b57cfb4bcb247961cd6dc4f6b4975163feb1fab077db1bb238ad010", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:23Z", - "source_url": "https://icml.cc/virtual/2025/poster/44762" - }, - "query": "Fetch the title of this paper." - }, - { - "id": "liveweb-ie-9312273e0c4d6f271302", - "url": "https://marinespecies.org/photogallery.php?album=684", - "domain": "marinespecies", - "site": "marinespecies", - "values": { - "species_image": [ - "https://images.marinespecies.org/thumbs/166273_dina-imeretiensis-prometheus-cave-holotype-and-paratype.jpg?w=150", - "https://images.marinespecies.org/thumbs/138529_branchellion-spindolaorum.jpg?h=236", - "https://images.marinespecies.org/thumbs/136440_ambulobdella-shandikovi-a-utevsky-en-amp-s-utevsky-2018.jpg?w=150", - "https://images.marinespecies.org/thumbs/136433_ambulobdella-shandikovi-a-utevsky-en-amp-s-utevsky-2018.jpg?h=240", - "https://images.marinespecies.org/thumbs/133625_ornithobdella-edentula-original-image-is-inaturalist-2013-at.jpg?w=150", - "https://images.marinespecies.org/thumbs/72272_cryobdella-ljadovi-external-and-internal-structures.png?h=225", - "https://images.marinespecies.org/thumbs/72271_cryobdella-ljadovi-ventral-view.png?h=240", - "https://images.marinespecies.org/thumbs/41394_van-beneden-en-amp-hesse-1864-pl-03.jpg?h=208", - "https://images.marinespecies.org/thumbs/41393_van-beneden-en-amp-hesse-1864-pl-02.jpg?h=202", - "https://images.marinespecies.org/thumbs/41392_van-beneden-en-amp-hesse-1864-pl-01.jpg?h=208", - "https://images.marinespecies.org/thumbs/1758_pontobdella-muricata-linnaeus-1758.jpg?w=150" - ] - }, - "schema": { - "type": "object", - "properties": { - "species_image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Please extract all photo urls.; target attribute: species_image" - } - }, - "required": [ - "species_image" - ] - }, - "input": "dataset/html/liveweb-ie-9312273e0c4d6f271302.html", - "input_sha256": "8f94533b3c08ed20d60ce5f8a06d14b928ea3e1274b966b1736263ef73065ac8", - "assets": [], - "value_kinds": { - "species_image": "url" - }, - "source_value_counts": { - "species_image": { - "https://images.marinespecies.org/thumbs/166273_dina-imeretiensis-prometheus-cave-holotype-and-paratype.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/138529_branchellion-spindolaorum.jpg?h=236": 1, - "https://images.marinespecies.org/thumbs/136440_ambulobdella-shandikovi-a-utevsky-en-amp-s-utevsky-2018.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/136433_ambulobdella-shandikovi-a-utevsky-en-amp-s-utevsky-2018.jpg?h=240": 1, - "https://images.marinespecies.org/thumbs/133625_ornithobdella-edentula-original-image-is-inaturalist-2013-at.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/72272_cryobdella-ljadovi-external-and-internal-structures.png?h=225": 1, - "https://images.marinespecies.org/thumbs/72271_cryobdella-ljadovi-ventral-view.png?h=240": 1, - "https://images.marinespecies.org/thumbs/41394_van-beneden-en-amp-hesse-1864-pl-03.jpg?h=208": 1, - "https://images.marinespecies.org/thumbs/41393_van-beneden-en-amp-hesse-1864-pl-02.jpg?h=202": 1, - "https://images.marinespecies.org/thumbs/41392_van-beneden-en-amp-hesse-1864-pl-01.jpg?h=208": 1, - "https://images.marinespecies.org/thumbs/1758_pontobdella-muricata-linnaeus-1758.jpg?w=150": 1 - } - }, - "original_reference": { - "species_image": [ - "https://images.marinespecies.org/thumbs/166273_dina-imeretiensis-prometheus-cave-holotype-and-paratype.jpg?w=150", - "https://images.marinespecies.org/thumbs/138529_branchellion-spindolaorum.jpg?h=236", - "https://images.marinespecies.org/thumbs/136440_ambulobdella-shandikovi-a-utevsky-en-amp-s-utevsky-2018.jpg?w=150", - "https://images.marinespecies.org/thumbs/136433_ambulobdella-shandikovi-a-utevsky-en-amp-s-utevsky-2018.jpg?h=240", - "https://images.marinespecies.org/thumbs/133625_ornithobdella-edentula-original-image-is-inaturalist-2013-at.jpg?w=150", - "https://images.marinespecies.org/thumbs/72272_cryobdella-ljadovi-external-and-internal-structures.png?h=225", - "https://images.marinespecies.org/thumbs/72271_cryobdella-ljadovi-ventral-view.png?h=240", - "https://images.marinespecies.org/thumbs/41394_van-beneden-en-amp-hesse-1864-pl-03.jpg?h=208", - "https://images.marinespecies.org/thumbs/41393_van-beneden-en-amp-hesse-1864-pl-02.jpg?h=202", - "https://images.marinespecies.org/thumbs/41392_van-beneden-en-amp-hesse-1864-pl-01.jpg?h=208", - "https://images.marinespecies.org/thumbs/1758_pontobdella-muricata-linnaeus-1758.jpg?w=150" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "8f94533b3c08ed20d60ce5f8a06d14b928ea3e1274b966b1736263ef73065ac8", - "reference_sha256": "43119a99c3e0f3a82b7a5c9882aca7643b4d0caebdeda4b82331f057cf06193d", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:31Z", - "source_url": "https://marinespecies.org/photogallery.php?album=684" - }, - "query": "Please extract all photo urls." - }, - { - "id": "liveweb-ie-ff5f85f64d02bb9f5608", - "url": "https://neurips.cc/virtual/2024/poster/96666", - "domain": "neurips", - "site": "neurips", - "values": { - "title": [ - "AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the title of the paper; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-ff5f85f64d02bb9f5608.html", - "input_sha256": "a01eb870cb3776c058471ac28b4da5d6c739650e4b5c902af788a9bbc2a19c8f", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis": 1 - } - }, - "original_reference": { - "title": [ - "AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "a01eb870cb3776c058471ac28b4da5d6c739650e4b5c902af788a9bbc2a19c8f", - "reference_sha256": "cee25c7121edef58a709883e7dc8ebd497cc9e77eaf2eabc4c64551b207e9a98", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:16Z", - "source_url": "https://neurips.cc/virtual/2024/poster/96666" - }, - "query": "Retrieve the title of the paper" - }, - { - "id": "liveweb-ie-b24e2b75cd58817f3fba", - "url": "http://quotes.toscrape.com/page/9/", - "domain": "quotestoscrape", - "site": "quotestoscrape", - "values": { - "author": [ - "Albert Einstein", - "Jane Austen", - "J.K. Rowling", - "C.S. Lewis", - "Mark Twain" - ] - }, - "schema": { - "type": "object", - "properties": { - "author": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Collect each author of the quotes; target attribute: author" - } - }, - "required": [ - "author" - ] - }, - "input": "dataset/html/liveweb-ie-b24e2b75cd58817f3fba.html", - "input_sha256": "2eb837452e88dec7cb885f1b92aeb0873a37724a8dc2e3cd76871dd4c008e0e0", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "author": { - "Albert Einstein": 1, - "Jane Austen": 3, - "J.K. Rowling": 1, - "C.S. Lewis": 3, - "Mark Twain": 2 - } - }, - "original_reference": { - "author": [ - "Albert Einstein", - "Jane Austen", - "J.K. Rowling", - "Jane Austen", - "Jane Austen", - "C.S. Lewis", - "C.S. Lewis", - "Mark Twain", - "Mark Twain", - "C.S. Lewis" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "2eb837452e88dec7cb885f1b92aeb0873a37724a8dc2e3cd76871dd4c008e0e0", - "reference_sha256": "13d0c75ea954d9e41dd5429a4b18298e4341f3a70e7d6b7ee1eb19aac6891b3c", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:09Z", - "source_url": "http://quotes.toscrape.com/page/9/" - }, - "query": "Collect each author of the quotes" - }, - { - "id": "liveweb-ie-bdb91be6642b676a92b7", - "url": "https://sandbox.oxylabs.io/products?page=19", - "domain": "sandboxoxlabio", - "site": "sandboxoxlabio", - "values": { - "title": [ - "XGIII: Extreme G Racing", - "FIFA 2001", - "Crimson Skies", - "Professor Layton and the Last Specter", - "Danganronpa 1-2 Reload", - "Nintendogs: Lab & Friends", - "Xenoblade Chronicles 2", - "World of Warcraft: Shadowlands", - "RACE 07: Official WTCC Game", - "2010 FIFA World Cup South Africa", - "Gravity Rush", - "Pokemon Omega Ruby", - "Horizon Zero Dawn: The Frozen Wilds", - "Ninja Gaiden: Dragon Sword", - "Rhythm Heaven Fever", - "Ms. 'Splosion Man", - "EverQuest II: Rise of Kunark", - "Ninja Gaiden Sigma 2", - "Dragon Quest Heroes: Rocket Slime", - "Contra 4", - "Rhythm Heaven", - "Collection of Mana", - "Path of Exile: The Fall of Oriath", - "The Legend of Heroes: Trails in the Sky the 3rd", - "Dark Age of Camelot: Catacombs", - "Nintendogs: Dalmatian & Friends", - "Hypnospace Outlaw", - "Little Nightmares", - "Overcooked! 2: Surf 'n' Turf", - "Spore Creature Creator", - "Final Fantasy V Advance", - "All-Star Baseball 2003" - ], - "price": [ - "78,99 €", - "73,99 €", - "77,99 €", - "83,99 €", - "84,99 €", - "76,99 €", - "87,99 €", - "40,99 €", - "88,99 €", - "85,99 €", - "75,99 €", - "79,99 €", - "69,99 €", - "80,99 €", - "82,99 €", - "70,99 €", - "74,99 €", - "67,99 €" - ], - "image": [ - "/assets/driving.svg", - "/assets/sports.svg", - "/assets/simulation.svg", - "/assets/miscellaneous.svg", - "/assets/role-playing.svg", - "/assets/action.svg", - "/assets/action-adventure.svg", - "/assets/adventure.svg", - "/assets/strategy.svg" - ], - "link": [ - "/products/577", - "/products/578", - "/products/579", - "/products/580", - "/products/581", - "/products/582", - "/products/583", - "/products/584", - "/products/585", - "/products/586", - "/products/587", - "/products/588", - "/products/589", - "/products/590", - "/products/591", - "/products/592", - "/products/593", - "/products/594", - "/products/595", - "/products/596", - "/products/597", - "/products/598", - "/products/599", - "/products/600", - "/products/601", - "/products/602", - "/products/603", - "/products/604", - "/products/605", - "/products/606", - "/products/607", - "/products/608" - ], - "genre": [ - "Driving", - "Racing", - "Futuristic", - "Sports", - "Traditional", - "Soccer", - "Sim", - "Simulation", - "Flight", - "Sci-Fi", - "Futuristic Jet", - "Combat", - "Miscellaneous", - "Puzzle", - "General", - "Compilation", - "Virtual Life", - "Virtual", - "Pet", - "Role-Playing", - "Action RPG", - "Massively Multiplayer", - "GT / Street", - "Automobile", - "Team", - "Action", - "Action Adventure", - "Platformer", - "Open-World", - "3D", - "Console-style RPG", - "Japanese-Style", - "Trainer", - "Fantasy", - "Rhythm", - "Music", - "2D", - "Massively Multiplayer Online", - "Adventure", - "Point-and-Click", - "Linear", - "Arcade", - "Strategy", - "Breeding/Constructing", - "Baseball" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Provide all game titles, prices, images, links, and genres; target attribute: title" - }, - "price": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Provide all game titles, prices, images, links, and genres; target attribute: price" - }, - "image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Provide all game titles, prices, images, links, and genres; target attribute: image" - }, - "link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Provide all game titles, prices, images, links, and genres; target attribute: link" - }, - "genre": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Provide all game titles, prices, images, links, and genres; target attribute: genre" - } - }, - "required": [ - "title", - "price", - "image", - "link", - "genre" - ] - }, - "input": "dataset/html/liveweb-ie-bdb91be6642b676a92b7.html", - "input_sha256": "3ae5eb9e777776a795d814c19f482bcf487d69d394eb933d94821b17a31dd9ee", - "assets": [], - "value_kinds": { - "image": "url", - "link": "url" - }, - "source_value_counts": { - "title": { - "XGIII: Extreme G Racing": 1, - "FIFA 2001": 1, - "Crimson Skies": 1, - "Professor Layton and the Last Specter": 1, - "Danganronpa 1-2 Reload": 1, - "Nintendogs: Lab & Friends": 1, - "Xenoblade Chronicles 2": 1, - "World of Warcraft: Shadowlands": 1, - "RACE 07: Official WTCC Game": 1, - "2010 FIFA World Cup South Africa": 1, - "Gravity Rush": 1, - "Pokemon Omega Ruby": 1, - "Horizon Zero Dawn: The Frozen Wilds": 1, - "Ninja Gaiden: Dragon Sword": 1, - "Rhythm Heaven Fever": 1, - "Ms. 'Splosion Man": 1, - "EverQuest II: Rise of Kunark": 1, - "Ninja Gaiden Sigma 2": 1, - "Dragon Quest Heroes: Rocket Slime": 1, - "Contra 4": 1, - "Rhythm Heaven": 1, - "Collection of Mana": 1, - "Path of Exile: The Fall of Oriath": 1, - "The Legend of Heroes: Trails in the Sky the 3rd": 1, - "Dark Age of Camelot: Catacombs": 1, - "Nintendogs: Dalmatian & Friends": 1, - "Hypnospace Outlaw": 1, - "Little Nightmares": 1, - "Overcooked! 2: Surf 'n' Turf": 1, - "Spore Creature Creator": 1, - "Final Fantasy V Advance": 1, - "All-Star Baseball 2003": 1 - }, - "price": { - "78,99 €": 4, - "73,99 €": 2, - "77,99 €": 2, - "83,99 €": 4, - "84,99 €": 2, - "76,99 €": 2, - "87,99 €": 1, - "40,99 €": 1, - "88,99 €": 1, - "85,99 €": 1, - "75,99 €": 1, - "79,99 €": 1, - "69,99 €": 1, - "80,99 €": 3, - "82,99 €": 3, - "70,99 €": 1, - "74,99 €": 1, - "67,99 €": 1 - }, - "image": { - "/assets/driving.svg": 2, - "/assets/sports.svg": 3, - "/assets/simulation.svg": 3, - "/assets/miscellaneous.svg": 3, - "/assets/role-playing.svg": 9, - "/assets/action.svg": 6, - "/assets/action-adventure.svg": 4, - "/assets/adventure.svg": 1, - "/assets/strategy.svg": 1 - }, - "link": { - "/products/577": 1, - "/products/578": 1, - "/products/579": 1, - "/products/580": 1, - "/products/581": 1, - "/products/582": 1, - "/products/583": 1, - "/products/584": 1, - "/products/585": 1, - "/products/586": 1, - "/products/587": 1, - "/products/588": 1, - "/products/589": 1, - "/products/590": 1, - "/products/591": 1, - "/products/592": 1, - "/products/593": 1, - "/products/594": 1, - "/products/595": 1, - "/products/596": 1, - "/products/597": 1, - "/products/598": 1, - "/products/599": 1, - "/products/600": 1, - "/products/601": 1, - "/products/602": 1, - "/products/603": 1, - "/products/604": 1, - "/products/605": 1, - "/products/606": 1, - "/products/607": 1, - "/products/608": 1 - }, - "genre": { - "Driving": 2, - "Racing": 2, - "Futuristic": 1, - "Sports": 3, - "Traditional": 3, - "Soccer": 2, - "Sim": 3, - "Simulation": 4, - "Flight": 1, - "Sci-Fi": 1, - "Futuristic Jet": 1, - "Combat": 1, - "Miscellaneous": 7, - "Puzzle": 1, - "General": 7, - "Compilation": 2, - "Virtual Life": 2, - "Virtual": 2, - "Pet": 2, - "Role-Playing": 9, - "Action RPG": 3, - "Massively Multiplayer": 3, - "GT / Street": 1, - "Automobile": 1, - "Team": 1, - "Action": 6, - "Action Adventure": 5, - "Platformer": 3, - "Open-World": 2, - "3D": 1, - "Console-style RPG": 2, - "Japanese-Style": 2, - "Trainer": 1, - "Fantasy": 5, - "Rhythm": 2, - "Music": 2, - "2D": 2, - "Massively Multiplayer Online": 2, - "Adventure": 1, - "Point-and-Click": 1, - "Linear": 1, - "Arcade": 1, - "Strategy": 1, - "Breeding/Constructing": 1, - "Baseball": 1 - } - }, - "original_reference": { - "title": [ - "XGIII: Extreme G Racing", - "FIFA 2001", - "Crimson Skies", - "Professor Layton and the Last Specter", - 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"/assets/adventure.svg", - "/assets/action-adventure.svg", - "/assets/action.svg", - "/assets/strategy.svg", - "/assets/role-playing.svg", - "/assets/sports.svg" - ], - "link": [ - "/products/577", - "/products/578", - "/products/579", - "/products/580", - "/products/581", - "/products/582", - "/products/583", - "/products/584", - "/products/585", - "/products/586", - "/products/587", - "/products/588", - "/products/589", - "/products/590", - "/products/591", - "/products/592", - "/products/593", - "/products/594", - "/products/595", - "/products/596", - "/products/597", - "/products/598", - "/products/599", - "/products/600", - "/products/601", - "/products/602", - "/products/603", - "/products/604", - "/products/605", - "/products/606", - "/products/607", - "/products/608" - ], - "genre": [ - "Driving", - "Racing", - "Futuristic", - "Sports", - "Traditional", - "Soccer", - "Sim", - "Simulation", - "Flight", - "Sci-Fi", - "Futuristic Jet", - "Combat", - "Miscellaneous", - "Puzzle", - "General", - "Miscellaneous", - "Compilation", - "Simulation", - "Miscellaneous", - "Virtual Life", - "Virtual", - "Pet", - "Role-Playing", - "Action RPG", - "Role-Playing", - "Massively Multiplayer", - "Driving", - "Racing", - "Simulation", - "GT / Street", - "Automobile", - "Sports", - "Traditional", - "Team", - "Soccer", - "Sim", - "Action", - "Action Adventure", - "Platformer", - "Open-World", - "3D", - "Role-Playing", - "Console-style RPG", - "Japanese-Style", - "Trainer", - "Role-Playing", - "Action RPG", - "Action Adventure", - "Fantasy", - "General", - "Action", - "Miscellaneous", - "Rhythm", - "Music", - "Action", - "General", - "Platformer", - "2D", - "Role-Playing", - "Massively Multiplayer Online", - "Massively Multiplayer", - "Fantasy", - "Action Adventure", - "Fantasy", - "General", - "Action Adventure", - "Fantasy", - "General", - "Open-World", - "Action", - "Platformer", - "2D", - "Action", - "Miscellaneous", - "Rhythm", - "Music", - "Miscellaneous", - "Compilation", - "Role-Playing", - "Action RPG", - "Role-Playing", - "Japanese-Style", - "Role-Playing", - "Massively Multiplayer Online", - "Massively Multiplayer", - "Fantasy", - "Simulation", - "Miscellaneous", - "Virtual Life", - "Virtual", - "Pet", - "Adventure", - "Point-and-Click", - "Action Adventure", - "General", - "Linear", - "Action", - "Arcade", - "Strategy", - "Breeding/Constructing", - "General", - "Role-Playing", - "Console-style RPG", - "Sports", - "Traditional", - "Baseball", - "Sim" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "3ae5eb9e777776a795d814c19f482bcf487d69d394eb933d94821b17a31dd9ee", - "reference_sha256": "b3e782f77ec94724b7f8104b170240f8266fab9089d92dc5f6526c1558ea7b7b", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:05Z", - "source_url": "https://sandbox.oxylabs.io/products?page=19" - }, - "query": "Provide all game titles, prices, images, links, and genres" - }, - { - "id": "liveweb-ie-d45c018cabc002390f2a", - "url": "https://www.scrapethissite.com/pages/forms/?page_num=18", - "domain": "scrapethissite", - "site": "scrapethissite", - "values": { - "team": [ - "Pittsburgh Penguins", - "San Jose Sharks", - "St. Louis Blues", - "Tampa Bay Lightning", - "Toronto Maple Leafs", - "Vancouver Canucks", - "Washington Capitals", - "Anaheim Ducks", - "Atlanta Thrashers", - "Boston Bruins", - "Buffalo Sabres", - "Calgary Flames", - "Carolina Hurricanes", - "Columbus Blue Jackets", - "Chicago Blackhawks", - "Colorado Avalanche", - "Dallas Stars", - "Detroit Red Wings", - "Edmonton Oilers", - "Florida Panthers", - "Los Angeles Kings", - "Minnesota Wild", - "Montreal Canadiens", - "Nashville Predators", - "New Jersey Devils" - ], - "wins": [ - "47", - "51", - "34", - "44", - "40", - "49", - "28", - "41", - "39", - "42", - "43", - "45", - "54", - "38", - "32", - "46" - ] - }, - "schema": { - "type": "object", - "properties": { - "team": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Can you list all hockey team names and their wins; target attribute: team" - }, - "wins": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Can you list all hockey team names and their wins; target attribute: wins" - } - }, - "required": [ - "team", - "wins" - ] - }, - "input": "dataset/html/liveweb-ie-d45c018cabc002390f2a.html", - "input_sha256": "7285da731dcd9fb199385250aa6b2f39d39225d5d2405fe57090e0fe08deb2e6", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "team": { - "Pittsburgh Penguins": 1, - "San Jose Sharks": 1, - "St. Louis Blues": 1, - "Tampa Bay Lightning": 1, - "Toronto Maple Leafs": 1, - "Vancouver Canucks": 1, - "Washington Capitals": 1, - "Anaheim Ducks": 1, - "Atlanta Thrashers": 1, - "Boston Bruins": 1, - "Buffalo Sabres": 1, - "Calgary Flames": 1, - "Carolina Hurricanes": 1, - "Columbus Blue Jackets": 1, - "Chicago Blackhawks": 1, - "Colorado Avalanche": 1, - "Dallas Stars": 1, - "Detroit Red Wings": 1, - "Edmonton Oilers": 1, - "Florida Panthers": 1, - "Los Angeles Kings": 1, - "Minnesota Wild": 1, - "Montreal Canadiens": 1, - "Nashville Predators": 1, - "New Jersey Devils": 1 - }, - "wins": { - "47": 3, - "51": 1, - "34": 3, - "44": 3, - "40": 2, - "49": 1, - "28": 1, - "41": 3, - "39": 1, - "42": 1, - "43": 1, - "45": 1, - "54": 1, - "38": 1, - "32": 1, - "46": 1 - } - }, - "original_reference": { - "team": [ - "Pittsburgh Penguins", - "San Jose Sharks", - "St. Louis Blues", - "Tampa Bay Lightning", - "Toronto Maple Leafs", - "Vancouver Canucks", - "Washington Capitals", - "Anaheim Ducks", - "Atlanta Thrashers", - "Boston Bruins", - "Buffalo Sabres", - "Calgary Flames", - "Carolina Hurricanes", - "Columbus Blue Jackets", - "Chicago Blackhawks", - "Colorado Avalanche", - "Dallas Stars", - "Detroit Red Wings", - "Edmonton Oilers", - "Florida Panthers", - "Los Angeles Kings", - "Minnesota Wild", - "Montreal Canadiens", - "Nashville Predators", - "New Jersey Devils" - ], - "wins": [ - "47", - "51", - "34", - "44", - "40", - "49", - "28", - "47", - "34", - "41", - "39", - "42", - "43", - "34", - "40", - "44", - "45", - "54", - "41", - "38", - "32", - "44", - "47", - "41", - "46" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "7285da731dcd9fb199385250aa6b2f39d39225d5d2405fe57090e0fe08deb2e6", - "reference_sha256": "9579eee4daae933a7d55e50e15df81ef97c16fe3cbb4264bb8f9de4c87fd0539", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:59Z", - "source_url": "https://www.scrapethissite.com/pages/forms/?page_num=18" - }, - "query": "Can you list all hockey team names and their wins" - }, - { - "id": "liveweb-ie-3ec097910e715d2d4fe0", - "url": "https://www.thecocktaildb.com/drink/17206-mint-julep", - "domain": "thecocktaildb", - "site": "thecocktaildb", - "values": { - "ingredient": [ - "4 fresh Mint", - "2 1/2 oz Bourbon", - "1 tsp Powdered sugar", - "2 tsp Water" - ], - "ingredient_link": [ - "/ingredient/337-mint", - "/ingredient/71-bourbon", - "/ingredient/409-powdered-sugar", - "/ingredient/513-water" - ], - "ingredient_image": [ - "../images/ingredients/mint-medium.png", - "../images/ingredients/bourbon-medium.png", - "../images/ingredients/powdered sugar-medium.png", - "../images/ingredients/water-medium.png" - ] - }, - "schema": { - "type": "object", - "properties": { - "ingredient": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Gather the names of all ingredients along with their corresponding detail links and images for the beverage.; target attribute: ingredient" - }, - "ingredient_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Gather the names of all ingredients along with their corresponding detail links and images for the beverage.; target attribute: ingredient_link" - }, - "ingredient_image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Gather the names of all ingredients along with their corresponding detail links and images for the beverage.; target attribute: ingredient_image" - } - }, - "required": [ - "ingredient", - "ingredient_link", - "ingredient_image" - ] - }, - "input": "dataset/html/liveweb-ie-3ec097910e715d2d4fe0.html", - "input_sha256": "78461aabc1bca77c9e98247048766515c76bb3df7dccdbbaaa6bcd465ecb5906", - "assets": [], - "value_kinds": { - "ingredient_link": "url", - "ingredient_image": "url" - }, - "source_value_counts": { - "ingredient": { - "4 fresh Mint": 1, - "2 1/2 oz Bourbon": 1, - "1 tsp Powdered sugar": 1, - "2 tsp Water": 1 - }, - "ingredient_link": { - "/ingredient/337-mint": 1, - "/ingredient/71-bourbon": 1, - "/ingredient/409-powdered-sugar": 1, - "/ingredient/513-water": 1 - }, - "ingredient_image": { - "../images/ingredients/mint-medium.png": 1, - "../images/ingredients/bourbon-medium.png": 1, - "../images/ingredients/powdered sugar-medium.png": 1, - "../images/ingredients/water-medium.png": 1 - } - }, - "original_reference": { - "ingredient": [ - "4 fresh Mint", - "2 1/2 oz Bourbon", - "1 tsp Powdered sugar", - "2 tsp Water" - ], - "ingredient_link": [ - "/ingredient/337-mint", - "/ingredient/71-bourbon", - "/ingredient/409-powdered-sugar", - "/ingredient/513-water" - ], - "ingredient_image": [ - "../images/ingredients/mint-medium.png", - "../images/ingredients/bourbon-medium.png", - "../images/ingredients/powdered sugar-medium.png", - "../images/ingredients/water-medium.png" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "78461aabc1bca77c9e98247048766515c76bb3df7dccdbbaaa6bcd465ecb5906", - "reference_sha256": "824cb4a4090e73b490589b88d6e916d5dc8351990b4e8e74bb563324a9c3e98a", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [ - { - "field": "ingredient", - "original": "4 fresh Mint", - "accepted": "4 fresh Mint", - "source_sha256": "78461aabc1bca77c9e98247048766515c76bb3df7dccdbbaaa6bcd465ecb5906", - "reason": "whitespace and source-supported HTML entity decoding only" - }, - { - "field": "ingredient", - "original": "2 1/2 oz Bourbon", - "accepted": "2 1/2 oz Bourbon", - "source_sha256": "78461aabc1bca77c9e98247048766515c76bb3df7dccdbbaaa6bcd465ecb5906", - "reason": "whitespace and source-supported HTML entity decoding only" - }, - { - "field": "ingredient", - "original": "1 tsp Powdered sugar", - "accepted": "1 tsp Powdered sugar", - "source_sha256": "78461aabc1bca77c9e98247048766515c76bb3df7dccdbbaaa6bcd465ecb5906", - "reason": "whitespace and source-supported HTML entity decoding only" - }, - { - "field": "ingredient", - "original": "2 tsp Water", - "accepted": "2 tsp Water", - "source_sha256": "78461aabc1bca77c9e98247048766515c76bb3df7dccdbbaaa6bcd465ecb5906", - "reason": "whitespace and source-supported HTML entity decoding only" - } - ], - "observed_at": "2026-11-06T10:07:54Z", - "source_url": "https://www.thecocktaildb.com/drink/17206-mint-julep" - }, - "query": "Gather the names of all ingredients along with their corresponding detail links and images for the beverage." - }, - { - "id": "liveweb-ie-ce99a80790705a223293", - "url": "https://www.themealdb.com/meal/52885--bubble-&-squeak-recipe", - "domain": "themealdb", - "site": "themealdb", - "values": { - "ingredient_link": [ - "/ingredient/41-butter", - "/ingredient/14-bacon", - "/ingredient/364-onion", - "/ingredient/150-garlic-clove", - "/ingredient/456-brussels-sprouts", - "/ingredient/253-potatoes" - ], - "ingredient": [ - "1 tbs Butter", - "4 Bacon", - "1 finely sliced Onion", - "1 chopped Garlic Clove", - "20 Brussels Sprouts", - "400g Potatoes" - ], - "ingredient_image": [ - "../images/ingredients/Butter-medium.png", - "../images/ingredients/Bacon-medium.png", - "../images/ingredients/Onion-medium.png", - "../images/ingredients/Garlic_Clove-medium.png", - "../images/ingredients/Brussels_Sprouts-medium.png", - "../images/ingredients/Potatoes-medium.png" - ] - }, - "schema": { - "type": "object", - "properties": { - "ingredient_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract all links to detailed information of the food's ingredients, please provide the ingredient names used in this food, and give me all ingredient images of the food.; target attribute: ingredient_link" - }, - "ingredient": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract all links to detailed information of the food's ingredients, please provide the ingredient names used in this food, and give me all ingredient images of the food.; target attribute: ingredient" - }, - "ingredient_image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract all links to detailed information of the food's ingredients, please provide the ingredient names used in this food, and give me all ingredient images of the food.; target attribute: ingredient_image" - } - }, - "required": [ - "ingredient_link", - "ingredient", - "ingredient_image" - ] - }, - "input": "dataset/html/liveweb-ie-ce99a80790705a223293.html", - "input_sha256": "42b16a575961f50196e57a8cc01f6da82c322355bdb173d9319363aca409d456", - "assets": [], - "value_kinds": { - "ingredient_link": "url", - "ingredient_image": "url" - }, - "source_value_counts": { - "ingredient_link": { - "/ingredient/41-butter": 1, - "/ingredient/14-bacon": 1, - "/ingredient/364-onion": 1, - "/ingredient/150-garlic-clove": 1, - "/ingredient/456-brussels-sprouts": 1, - "/ingredient/253-potatoes": 1 - }, - "ingredient": { - "1 tbs Butter": 1, - "4 Bacon": 1, - "1 finely sliced Onion": 1, - "1 chopped Garlic Clove": 1, - "20 Brussels Sprouts": 1, - "400g Potatoes": 1 - }, - "ingredient_image": { - "../images/ingredients/Butter-medium.png": 1, - "../images/ingredients/Bacon-medium.png": 1, - "../images/ingredients/Onion-medium.png": 1, - "../images/ingredients/Garlic_Clove-medium.png": 1, - "../images/ingredients/Brussels_Sprouts-medium.png": 1, - "../images/ingredients/Potatoes-medium.png": 1 - } - }, - "original_reference": { - "ingredient_link": [ - "/ingredient/41-butter", - "/ingredient/14-bacon", - "/ingredient/364-onion", - "/ingredient/150-garlic-clove", - "/ingredient/456-brussels-sprouts", - "/ingredient/253-potatoes" - ], - "ingredient": [ - "1 tbs Butter", - "4 Bacon", - "1 finely sliced Onion", - "1 chopped Garlic Clove", - "20 Brussels Sprouts", - "400g Potatoes" - ], - "ingredient_image": [ - "../images/ingredients/Butter-medium.png", - "../images/ingredients/Bacon-medium.png", - "../images/ingredients/Onion-medium.png", - "../images/ingredients/Garlic_Clove-medium.png", - "../images/ingredients/Brussels_Sprouts-medium.png", - "../images/ingredients/Potatoes-medium.png" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "42b16a575961f50196e57a8cc01f6da82c322355bdb173d9319363aca409d456", - "reference_sha256": "0995e295add4ac680ce4db64d247100e6a947c188da09e6b5d6f3b845e20fc1a", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:50Z", - "source_url": "https://www.themealdb.com/meal/52885--bubble-&-squeak-recipe" - }, - "query": "Extract all links to detailed information of the food's ingredients, please provide the ingredient names used in this food, and give me all ingredient images of the food." - }, - { - "id": "liveweb-ie-d747a1abec64a483afaa", - "url": "https://www.thesportsdb.com/league/5064-liga-mexicana-de-b%c3%a9isbol", - "domain": "thesportsdb", - "site": "thesportsdb", - "values": { - "team_link": [ - "/team/141998-acereros-de-monclova", - "/team/141999-algodoneros-de-uni%c3%b3n-laguna", - "/team/142007-bravos-de-le%c3%b3n", - "/team/151312-caliente-de-durango", - "/team/144284-charros-de-jalisco", - "/team/148486-conspiradores-de-quer%c3%a9taro", - "/team/142008-diablos-rojos-del-m%c3%a9xico", - "/team/142304-dorados-de-chihuahua", - "/team/142009-el-%c3%81guila-de-veracruz", - "/team/142010-guerreros-de-oaxaca", - "/team/142011-leones-de-yucat%c3%a1n", - "/team/142012-olmecas-de-tabasco", - "/team/142013-pericos-de-puebla", - "/team/142014-piratas-de-campeche", - "/team/142002-rieleros-de-aguascalientes", - "/team/142003-saraperos-de-saltillo", - "/team/142004-sultanes-de-monterrey", - "/team/142005-tecolotes-de-los-dos-laredos", - "/team/142015-tigres-de-quintana-roo", - "/team/142006-toros-de-tijuana" - ] - }, - "schema": { - "type": "object", - "properties": { - "team_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "From the 'Teams' section at the bottom, get the URL for each team's page.; target attribute: team_link" - } - }, - "required": [ - "team_link" - ] - }, - "input": "dataset/html/liveweb-ie-d747a1abec64a483afaa.html", - "input_sha256": "f5a2d2ee8af3abc42d0cc33ef574e8d34ac5440fe1dde50d28cec561d02158de", - "assets": [], - "value_kinds": { - "team_link": "url" - }, - "source_value_counts": { - "team_link": { - "/team/141998-acereros-de-monclova": 1, - "/team/141999-algodoneros-de-uni%c3%b3n-laguna": 1, - "/team/142007-bravos-de-le%c3%b3n": 1, - "/team/151312-caliente-de-durango": 1, - "/team/144284-charros-de-jalisco": 1, - "/team/148486-conspiradores-de-quer%c3%a9taro": 1, - "/team/142008-diablos-rojos-del-m%c3%a9xico": 1, - "/team/142304-dorados-de-chihuahua": 1, - "/team/142009-el-%c3%81guila-de-veracruz": 1, - "/team/142010-guerreros-de-oaxaca": 1, - "/team/142011-leones-de-yucat%c3%a1n": 1, - "/team/142012-olmecas-de-tabasco": 1, - "/team/142013-pericos-de-puebla": 1, - "/team/142014-piratas-de-campeche": 1, - "/team/142002-rieleros-de-aguascalientes": 1, - "/team/142003-saraperos-de-saltillo": 1, - "/team/142004-sultanes-de-monterrey": 1, - "/team/142005-tecolotes-de-los-dos-laredos": 1, - "/team/142015-tigres-de-quintana-roo": 1, - "/team/142006-toros-de-tijuana": 1 - } - }, - "original_reference": { - "team_link": [ - "/team/141998-acereros-de-monclova", - "/team/141999-algodoneros-de-uni%c3%b3n-laguna", - "/team/142007-bravos-de-le%c3%b3n", - "/team/151312-caliente-de-durango", - "/team/144284-charros-de-jalisco", - "/team/148486-conspiradores-de-quer%c3%a9taro", - "/team/142008-diablos-rojos-del-m%c3%a9xico", - "/team/142304-dorados-de-chihuahua", - "/team/142009-el-%c3%81guila-de-veracruz", - "/team/142010-guerreros-de-oaxaca", - "/team/142011-leones-de-yucat%c3%a1n", - "/team/142012-olmecas-de-tabasco", - "/team/142013-pericos-de-puebla", - "/team/142014-piratas-de-campeche", - "/team/142002-rieleros-de-aguascalientes", - "/team/142003-saraperos-de-saltillo", - "/team/142004-sultanes-de-monterrey", - "/team/142005-tecolotes-de-los-dos-laredos", - "/team/142015-tigres-de-quintana-roo", - "/team/142006-toros-de-tijuana" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "f5a2d2ee8af3abc42d0cc33ef574e8d34ac5440fe1dde50d28cec561d02158de", - "reference_sha256": "f4d8fb4f69202e98e71fe899267b1bdb76a734f71078dd8cd87138fb8b1c5c73", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:47Z", - "source_url": "https://www.thesportsdb.com/league/5064-liga-mexicana-de-b%c3%a9isbol" - }, - "query": "From the 'Teams' section at the bottom, get the URL for each team's page." - }, - { - "id": "liveweb-ie-5a7cce76459c7324d819", - "url": "https://arxiv.org/abs/2401.04904", - "domain": "arxiv", - "site": "arxiv", - "values": { - "title": [ - "Scalable Cyclic Schedulers for Age of Information Optimization in Large-Scale Status Update Systems" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the title of the research paper.; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-5a7cce76459c7324d819.html", - "input_sha256": "96238ad2a3d7e340dc02e250a5d51abfe70b27bed27c04859f329af9cb11258e", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Scalable Cyclic Schedulers for Age of Information Optimization in Large-Scale Status Update Systems": 1 - } - }, - "original_reference": { - "title": [ - "Scalable Cyclic Schedulers for Age of Information Optimization in Large-Scale Status Update Systems" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "96238ad2a3d7e340dc02e250a5d51abfe70b27bed27c04859f329af9cb11258e", - "reference_sha256": "2d1343f8f5547703b5d4da2eb0e2cb2ff8792475ce1d5975112768e7e483e92c", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:06Z", - "source_url": "https://arxiv.org/abs/2401.04904" - }, - "query": "Retrieve the title of the research paper." - }, - { - "id": "liveweb-ie-a7ade20781fbb5693133", - "url": "https://books.toscrape.com/catalogue/a-court-of-thorns-and-roses-a-court-of-thorns-and-roses-1_874/index.html", - "domain": "booktoscrape", - "site": "booktoscrape", - "values": { - "title": [ - "A Court of Thorns and Roses (A Court of Thorns and Roses #1)" - ], - "upc": [ - "01d2001ac1e6f8a3" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the title and UPC of the book; target attribute: title" - }, - "upc": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the title and UPC of the book; target attribute: upc" - } - }, - "required": [ - "title", - "upc" - ] - }, - "input": "dataset/html/liveweb-ie-a7ade20781fbb5693133.html", - "input_sha256": "e3401e67a2aac691cd6e41573a1dd03657003b95e9589d3a115d398bb58ee998", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "A Court of Thorns and Roses (A Court of Thorns and Roses #1)": 1 - }, - "upc": { - "01d2001ac1e6f8a3": 1 - } - }, - "original_reference": { - "title": [ - "A Court of Thorns and Roses (A Court of Thorns and Roses #1)" - ], - "upc": [ - "01d2001ac1e6f8a3" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "e3401e67a2aac691cd6e41573a1dd03657003b95e9589d3a115d398bb58ee998", - "reference_sha256": "9370909be2f8e72ba3e22a64acf5126469a8a5a498b046fc31def1ec11b022e8", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:14Z", - "source_url": "https://books.toscrape.com/catalogue/a-court-of-thorns-and-roses-a-court-of-thorns-and-roses-1_874/index.html" - }, - "query": "Extract the title and UPC of the book" - }, - { - "id": "liveweb-ie-a820a4d528cafb614547", - "url": "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47299", - "domain": "fueleconomy", - "site": "fueleconomy", - "values": { - "vehicle_image": [ - "https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera_4_Cabrio.jpg" - ], - "tank_size": [ - "17.6 gallons" - ] - }, - "schema": { - "type": "object", - "properties": { - "vehicle_image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the thumbnail image and the tank size of the car.; target attribute: vehicle_image" - }, - "tank_size": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the thumbnail image and the tank size of the car.; target attribute: tank_size" - } - }, - "required": [ - "vehicle_image", - "tank_size" - ] - }, - "input": "dataset/html/liveweb-ie-a820a4d528cafb614547.html", - "input_sha256": "29e097c91ebe8cf39963c6aa96accddac3359a52f2195b52b11f36cc2ec360c9", - "assets": [], - "value_kinds": { - "vehicle_image": "url" - }, - "source_value_counts": { - "vehicle_image": { - "https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera_4_Cabrio.jpg": 1 - }, - "tank_size": { - "17.6 gallons": 1 - } - }, - "original_reference": { - "vehicle_image": [ - "https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera_4_Cabrio.jpg" - ], - "tank_size": [ - "17.6 gallons" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "29e097c91ebe8cf39963c6aa96accddac3359a52f2195b52b11f36cc2ec360c9", - "reference_sha256": "e8fedad673500ad9a9b53dd63b0938db14f1901d8699907b7d005e42c0ac5917", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:42Z", - "source_url": "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47299" - }, - "query": "Extract the thumbnail image and the tank size of the car." - }, - { - "id": "liveweb-ie-285da3e5be1068028c6c", - "url": "https://huggingface.co/papers/date/2024-05-31", - "domain": "huggingface", - "site": "huggingface", - "values": { - "publish_date": [ - "May 31" - ] - }, - "schema": { - "type": "object", - "properties": { - "publish_date": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the date when these papers were added; target attribute: publish_date" - } - }, - "required": [ - "publish_date" - ] - }, - "input": "dataset/html/liveweb-ie-285da3e5be1068028c6c.html", - "input_sha256": "43c9aa7a30c8ddd0ad61dbecde17c85a294c4bffce8162e049dc306ce2f3a36e", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "publish_date": { - "May 31": 1 - } - }, - "original_reference": { - "publish_date": [ - "May 31" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "43c9aa7a30c8ddd0ad61dbecde17c85a294c4bffce8162e049dc306ce2f3a36e", - "reference_sha256": "528ed0216059ea66c47d4b4dcc39f18dd7ac0fb038718f97f4c3c41a12c52272", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:38Z", - "source_url": "https://huggingface.co/papers/date/2024-05-31" - }, - "query": "Extract the date when these papers were added" - }, - { - "id": "liveweb-ie-e0c956d88275b223e368", - "url": "https://iclr.cc/virtual/2025/papers.html?filter=title&search=tool", - "domain": "iclr", - "site": "iclr", - "values": { - "title": [ - "Euler Characteristic Tools for Topological Data Analysis", - "AgentStudio: A Toolkit for Building General Virtual Agents", - "Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage", - "Tool-Planner: Task Planning with Clusters across Multiple Tools", - "MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models", - "ToolGen: Unified Tool Retrieval and Calling via Generation", - "ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models", - "BingoGuard: LLM Content Moderation Tools with Risk Levels", - "Learning Evolving Tools for Large Language Models", - "When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings", - "From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions", - "ToolACE: Winning the Points of LLM Function Calling" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract all paper titles.; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-e0c956d88275b223e368.html", - "input_sha256": "4be30e9c545af28849a714d61604f0314fd5bb852c455c1b0f7605db6ff01356", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Euler Characteristic Tools for Topological Data Analysis": 1, - "AgentStudio: A Toolkit for Building General Virtual Agents": 1, - "Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage": 1, - "Tool-Planner: Task Planning with Clusters across Multiple Tools": 1, - "MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models": 1, - "ToolGen: Unified Tool Retrieval and Calling via Generation": 1, - "ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models": 1, - "BingoGuard: LLM Content Moderation Tools with Risk Levels": 1, - "Learning Evolving Tools for Large Language Models": 1, - "When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings": 1, - "From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions": 1, - "ToolACE: Winning the Points of LLM Function Calling": 1 - } - }, - "original_reference": { - "title": [ - "Euler Characteristic Tools for Topological Data Analysis", - "AgentStudio: A Toolkit for Building General Virtual Agents", - "Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage", - "Tool-Planner: Task Planning with Clusters across Multiple Tools", - "MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models", - "ToolGen: Unified Tool Retrieval and Calling via Generation", - "ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models", - "BingoGuard: LLM Content Moderation Tools with Risk Levels", - "Learning Evolving Tools for Large Language Models", - "When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings", - "From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions", - "ToolACE: Winning the Points of LLM Function Calling" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "4be30e9c545af28849a714d61604f0314fd5bb852c455c1b0f7605db6ff01356", - "reference_sha256": "e740cb9b3fee0a20fb2ac7dca2aa765e4b7c8ba64b1b067d587fc6be0a849202", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:10Z", - "source_url": "https://iclr.cc/virtual/2025/papers.html?filter=title&search=tool" - }, - "query": "Extract all paper titles." - }, - { - "id": "liveweb-ie-c6ae0fa8a06e476824b0", - "url": "https://icml.cc/virtual/2025/papers.html?filter=title&search=play", - "domain": "icml", - "site": "icml", - "values": { - "title": [ - "Robust Autonomy Emerges from Self-Play", - "Self-Play $Q$-Learners Can Provably Collude in the Iterated Prisoner's Dilemma", - "AMPO: Active Multi Preference Optimization for Self-play Preference Selection", - "PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning", - "Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layers", - "Playmate: Flexible Control of Portrait Animation via 3D-Implicit Space Guided Diffusion", - "Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments", - "Best of Both Worlds: Regret Minimization versus Minimax Play", - "CAN: Leveraging Clients As Navigators for Generative Replay in Federated Continual Learning", - "Visual Abstraction: A Plug-and-Play Approach for Text-Visual Retrieval", - "Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning", - "Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games", - "Online Curvature-Aware Replay: Leveraging $\\mathbf{2^{nd}}$ Order Information for Online Continual Learning", - "On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks", - "C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation", - "Enhancing Logits Distillation with Plug&Play Kendall's $\\tau$ Ranking Loss", - "Improving Rationality in the Reasoning Process of Language Models through Self-playing Game", - "Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters", - "STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving", - "DeepLayout: Learning Neural Representations of Circuit Placement Layout", - "Autoencoder-Based Hybrid Replay for Class-Incremental Learning" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve every paper title; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-c6ae0fa8a06e476824b0.html", - "input_sha256": "fde8279fc565f5b9f448659b548ef67f5075d0572042ec63cea828ad61662468", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Robust Autonomy Emerges from Self-Play": 1, - "Self-Play $Q$-Learners Can Provably Collude in the Iterated Prisoner's Dilemma": 1, - "AMPO: Active Multi Preference Optimization for Self-play Preference Selection": 1, - "PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning": 1, - "Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layers": 1, - "Playmate: Flexible Control of Portrait Animation via 3D-Implicit Space Guided Diffusion": 1, - "Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments": 1, - "Best of Both Worlds: Regret Minimization versus Minimax Play": 1, - "CAN: Leveraging Clients As Navigators for Generative Replay in Federated Continual Learning": 1, - "Visual Abstraction: A Plug-and-Play Approach for Text-Visual Retrieval": 1, - "Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning": 1, - "Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games": 1, - "Online Curvature-Aware Replay: Leveraging $\\mathbf{2^{nd}}$ Order Information for Online Continual Learning": 1, - "On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks": 1, - "C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation": 1, - "Enhancing Logits Distillation with Plug&Play Kendall's $\\tau$ Ranking Loss": 1, - "Improving Rationality in the Reasoning Process of Language Models through Self-playing Game": 1, - "Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters": 1, - "STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving": 1, - "DeepLayout: Learning Neural Representations of Circuit Placement Layout": 1, - "Autoencoder-Based Hybrid Replay for Class-Incremental Learning": 1 - } - }, - "original_reference": { - "title": [ - "Robust Autonomy Emerges from Self-Play", - "Self-Play $Q$-Learners Can Provably Collude in the Iterated Prisoner's Dilemma", - "AMPO: Active Multi Preference Optimization for Self-play Preference Selection", - "PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning", - "Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layers", - "Playmate: Flexible Control of Portrait Animation via 3D-Implicit Space Guided Diffusion", - "Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments", - "Best of Both Worlds: Regret Minimization versus Minimax Play", - "CAN: Leveraging Clients As Navigators for Generative Replay in Federated Continual Learning", - "Visual Abstraction: A Plug-and-Play Approach for Text-Visual Retrieval", - "Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning", - "Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games", - "Online Curvature-Aware Replay: Leveraging $\\mathbf{2^{nd}}$ Order Information for Online Continual Learning", - "On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks", - "C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation", - "Enhancing Logits Distillation with Plug&Play Kendall's $\\tau$ Ranking Loss", - "Improving Rationality in the Reasoning Process of Language Models through Self-playing Game", - "Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters", - "STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving", - "DeepLayout: Learning Neural Representations of Circuit Placement Layout", - "Autoencoder-Based Hybrid Replay for Class-Incremental Learning" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "fde8279fc565f5b9f448659b548ef67f5075d0572042ec63cea828ad61662468", - "reference_sha256": "8882d19734179073f4ee2aaac30c7c75f88c7a33e2e017b0afec0479033bf83d", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [ - { - "field": "title", - "original": "Enhancing Logits Distillation with Plug&Play Kendall's $\\tau$ Ranking Loss", - "accepted": "Enhancing Logits Distillation with Plug&Play Kendall's $\\tau$ Ranking Loss", - "source_sha256": "fde8279fc565f5b9f448659b548ef67f5075d0572042ec63cea828ad61662468", - "reason": "whitespace and source-supported HTML entity decoding only" - } - ], - "observed_at": "2026-11-06T10:07:24Z", - "source_url": "https://icml.cc/virtual/2025/papers.html?filter=title&search=play" - }, - "query": "Retrieve every paper title" - }, - { - "id": "liveweb-ie-99648fbe8ca04d11549a", - "url": "https://marinespecies.org/photogallery.php?album=2509&pic=48561", - "domain": "marinespecies", - "site": "marinespecies", - "values": { - "photo_title": [ - "Bonellia viridis" - ], - "species_link": [ - "photogallery.php?album=2509" - ] - }, - "schema": { - "type": "object", - "properties": { - "photo_title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the title of the photo and the link of this species.; target attribute: photo_title" - }, - "species_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the title of the photo and the link of this species.; target attribute: species_link" - } - }, - "required": [ - "photo_title", - "species_link" - ] - }, - "input": "dataset/html/liveweb-ie-99648fbe8ca04d11549a.html", - "input_sha256": "fdbf9ad2b6c67d256564521c54c32494478359d0ca01f3bb2e50222df96f86af", - "assets": [], - "value_kinds": { - "species_link": "url" - }, - "source_value_counts": { - "photo_title": { - "Bonellia viridis": 1 - }, - "species_link": { - "photogallery.php?album=2509": 1 - } - }, - "original_reference": { - "photo_title": [ - "Bonellia viridis" - ], - "species_link": [ - "photogallery.php?album=2509" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "fdbf9ad2b6c67d256564521c54c32494478359d0ca01f3bb2e50222df96f86af", - "reference_sha256": "a8adca3b885dfc5adc5d51784222623c7b94e376324b8a029bffbe8a0acb201e", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:32Z", - "source_url": "https://marinespecies.org/photogallery.php?album=2509&pic=48561" - }, - "query": "Extract the title of the photo and the link of this species." - }, - { - "id": "liveweb-ie-c5552a1eb7dcd6202219", - "url": "https://neurips.cc/virtual/2024/papers.html?filter=title&search=synthesis", - "domain": "neurips", - "site": "neurips", - "values": { - "title": [ - "Improved Distribution Matching Distillation for Fast Image Synthesis", - "Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis", - "JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models", - "Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering", - "HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting", - "HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection", - "Template-free Articulated Gaussian Splatting for Real-time Reposable Dynamic View Synthesis", - "Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis", - "Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis", - "Constrained Synthesis with Projected Diffusion Models", - "Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models", - "ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis", - "AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis", - "FreeSplat: Generalizable 3D Gaussian Splatting Towards Free View Synthesis of Indoor Scenes", - "Wild-GS: Real-Time Novel View Synthesis from Unconstrained Photo Collections", - "Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis", - "HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis", - "Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework", - "Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance", - "Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis", - "Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis", - "SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow", - "KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis", - "MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models", - "EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models", - "Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge", - "Differentiable Modal Synthesis for Physical Modeling of Planar String Sound and Motion Simulation", - "Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment", - "SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions", - "Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis", - "MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views", - "Action Imitation in Common Action Space for Customized Action Image Synthesis", - "ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models", - "Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis", - "UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks", - "Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search", - "Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis", - "Novel Object Synthesis via Adaptive Text-Image Harmony", - "NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping", - "Conditional Synthesis of 3D Molecules with Time Correction Sampler" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get the titles of every paper on this page; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-c5552a1eb7dcd6202219.html", - "input_sha256": "f84a4df079ec4bc6d5e29fcae166a8f91fcca3291091a379dc7afc422addbade", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Improved Distribution Matching Distillation for Fast Image Synthesis": 1, - "Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis": 1, - "JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models": 1, - "Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering": 1, - "HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting": 1, - "HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection": 1, - "Template-free Articulated Gaussian Splatting for Real-time Reposable Dynamic View Synthesis": 1, - "Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis": 1, - "Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis": 1, - "Constrained Synthesis with Projected Diffusion Models": 1, - "Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models": 1, - "ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis": 1, - "AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis": 1, - "FreeSplat: Generalizable 3D Gaussian Splatting Towards Free View Synthesis of Indoor Scenes": 1, - "Wild-GS: Real-Time Novel View Synthesis from Unconstrained Photo Collections": 1, - "Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis": 1, - "HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis": 1, - "Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework": 1, - "Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance": 1, - "Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis": 1, - "Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis": 1, - "SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow": 1, - "KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis": 1, - "MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models": 1, - "EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models": 1, - "Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge": 1, - "Differentiable Modal Synthesis for Physical Modeling of Planar String Sound and Motion Simulation": 1, - "Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment": 1, - "SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions": 1, - "Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis": 1, - "MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views": 1, - "Action Imitation in Common Action Space for Customized Action Image Synthesis": 1, - "ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models": 1, - "Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis": 1, - "UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks": 1, - "Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search": 1, - "Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis": 1, - "Novel Object Synthesis via Adaptive Text-Image Harmony": 1, - "NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping": 1, - "Conditional Synthesis of 3D Molecules with Time Correction Sampler": 1 - } - }, - "original_reference": { - "title": [ - "Improved Distribution Matching Distillation for Fast Image Synthesis", - "Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis", - "JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models", - "Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering", - "HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting", - "HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection", - "Template-free Articulated Gaussian Splatting for Real-time Reposable Dynamic View Synthesis", - "Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis", - "Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis", - "Constrained Synthesis with Projected Diffusion Models", - "Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models", - "ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis", - "AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis", - "FreeSplat: Generalizable 3D Gaussian Splatting Towards Free View Synthesis of Indoor Scenes", - "Wild-GS: Real-Time Novel View Synthesis from Unconstrained Photo Collections", - "Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis", - "HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis", - "Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework", - "Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance", - "Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis", - "Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis", - "SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow", - "KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis", - "MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models", - "EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models", - "Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge", - "Differentiable Modal Synthesis for Physical Modeling of Planar String Sound and Motion Simulation", - "Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment", - "SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions", - "Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis", - "MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views", - "Action Imitation in Common Action Space for Customized Action Image Synthesis", - "ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models", - "Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis", - "UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks", - "Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search", - "Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis", - "Novel Object Synthesis via Adaptive Text-Image Harmony", - "NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping", - "Conditional Synthesis of 3D Molecules with Time Correction Sampler" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "f84a4df079ec4bc6d5e29fcae166a8f91fcca3291091a379dc7afc422addbade", - "reference_sha256": "49e574d3ffff4060c4082cc7009df3c3a2c07055e9e70e985187da67a508cecb", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:17Z", - "source_url": "https://neurips.cc/virtual/2024/papers.html?filter=title&search=synthesis" - }, - "query": "Get the titles of every paper on this page" - }, - { - "id": "liveweb-ie-dd1b1b675372ada0fb82", - "url": "http://quotes.toscrape.com/author/Ayn-Rand", - "domain": "quotestoscrape", - "site": "quotestoscrape", - "values": { - "birth": [ - "February 02, 1905" - ] - }, - "schema": { - "type": "object", - "properties": { - "birth": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Collect the author's born details; target attribute: birth" - } - }, - "required": [ - "birth" - ] - }, - "input": "dataset/html/liveweb-ie-dd1b1b675372ada0fb82.html", - "input_sha256": "224a7df3c95e795fd738a61e03a0761d1243d9ab678623b1b0b1b9293e367e19", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "birth": { - "February 02, 1905": 1 - } - }, - "original_reference": { - "birth": [ - "February 02, 1905" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "224a7df3c95e795fd738a61e03a0761d1243d9ab678623b1b0b1b9293e367e19", - "reference_sha256": "0291d7c25c62366a750d15cc5895a24c2fc9ad7c98e3b8863c375534d5507fc7", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:09Z", - "source_url": "http://quotes.toscrape.com/author/Ayn-Rand" - }, - "query": "Collect the author's born details" - }, - { - "id": "liveweb-ie-6d5c78d810867eb91dea", - "url": "https://sandbox.oxylabs.io/products/942", - "domain": "sandboxoxlabio", - "site": "sandboxoxlabio", - "values": { - "title": [ - "Mutant Mudds" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get each title of the video game; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-6d5c78d810867eb91dea.html", - "input_sha256": "2d1f29bf481e58669ed608d56421e0f6c7364ac267b15cc164de085d937c63b3", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Mutant Mudds": 1 - } - }, - "original_reference": { - "title": [ - "Mutant Mudds" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "2d1f29bf481e58669ed608d56421e0f6c7364ac267b15cc164de085d937c63b3", - "reference_sha256": "71a6f08b5565251f9490e8fec001009fd128d89d3df7bd994f6b53e075a25dfb", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:05Z", - "source_url": "https://sandbox.oxylabs.io/products/942" - }, - "query": "Get each title of the video game" - }, - { - "id": "liveweb-ie-56ded42b85876f44bb23", - "url": "https://www.scrapethissite.com/pages/forms/?page_num=17", - "domain": "scrapethissite", - "site": "scrapethissite", - "values": { - "team": [ - "Vancouver Canucks", - "Washington Capitals", - "Anaheim Ducks", - "Atlanta Thrashers", - "Boston Bruins", - "Buffalo Sabres", - "Calgary Flames", - "Carolina Hurricanes", - "Columbus Blue Jackets", - "Chicago Blackhawks", - "Colorado Avalanche", - "Dallas Stars", - "Detroit Red Wings", - "Edmonton Oilers", - "Florida Panthers", - "Los Angeles Kings", - "Minnesota Wild", - "Montreal Canadiens", - "Nashville Predators", - "New Jersey Devils", - "New York Islanders", - "New York Rangers", - "Ottawa Senators", - "Philadelphia Flyers", - "Phoenix Coyotes" - ], - "wins": [ - "42", - "29", - "48", - "43", - "35", - "53", - "40", - "33", - "31", - "44", - "50", - "32", - "27", - "51", - "49", - "22" - ] - }, - "schema": { - "type": "object", - "properties": { - "team": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Can you list all hockey team names and their wins; target attribute: team" - }, - "wins": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Can you list all hockey team names and their wins; target attribute: wins" - } - }, - "required": [ - "team", - "wins" - ] - }, - "input": "dataset/html/liveweb-ie-56ded42b85876f44bb23.html", - "input_sha256": "dcf466b132b8ec0bd1179f1c34b64381981be78440933c5d55460a7c3933d0ea", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "team": { - "Vancouver Canucks": 1, - "Washington Capitals": 1, - "Anaheim Ducks": 1, - "Atlanta Thrashers": 1, - "Boston Bruins": 1, - "Buffalo Sabres": 1, - "Calgary Flames": 1, - "Carolina Hurricanes": 1, - "Columbus Blue Jackets": 1, - "Chicago Blackhawks": 1, - "Colorado Avalanche": 1, - "Dallas Stars": 1, - "Detroit Red Wings": 1, - "Edmonton Oilers": 1, - "Florida Panthers": 1, - "Los Angeles Kings": 1, - "Minnesota Wild": 1, - "Montreal Canadiens": 1, - "Nashville Predators": 1, - "New Jersey Devils": 1, - "New York Islanders": 1, - "New York Rangers": 1, - "Ottawa Senators": 1, - "Philadelphia Flyers": 1, - "Phoenix Coyotes": 1 - }, - "wins": { - "42": 3, - "29": 1, - "48": 3, - "43": 2, - "35": 2, - "53": 1, - "40": 2, - "33": 1, - "31": 2, - "44": 1, - "50": 2, - "32": 1, - "27": 1, - "51": 1, - "49": 1, - "22": 1 - } - }, - "original_reference": { - "team": [ - "Vancouver Canucks", - "Washington Capitals", - "Anaheim Ducks", - "Atlanta Thrashers", - "Boston Bruins", - "Buffalo Sabres", - "Calgary Flames", - "Carolina Hurricanes", - "Columbus Blue Jackets", - "Chicago Blackhawks", - "Colorado Avalanche", - "Dallas Stars", - "Detroit Red Wings", - "Edmonton Oilers", - "Florida Panthers", - "Los Angeles Kings", - "Minnesota Wild", - "Montreal Canadiens", - "Nashville Predators", - "New Jersey Devils", - "New York Islanders", - "New York Rangers", - "Ottawa Senators", - "Philadelphia Flyers", - "Phoenix Coyotes" - ], - "wins": [ - "42", - "29", - "48", - "43", - "35", - "53", - "43", - "40", - "33", - "31", - "44", - "50", - "50", - "32", - "35", - "27", - "48", - "42", - "51", - "49", - "40", - "42", - "48", - "22", - "31" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "dcf466b132b8ec0bd1179f1c34b64381981be78440933c5d55460a7c3933d0ea", - "reference_sha256": "f6778beeea548429a3db1fc6a02e4fc7dc0e5390c27d09e256aa6f801cb23011", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:59Z", - "source_url": "https://www.scrapethissite.com/pages/forms/?page_num=17" - }, - "query": "Can you list all hockey team names and their wins" - }, - { - "id": "liveweb-ie-65b03f1a69f056a5a816", - "url": "https://www.thecocktaildb.com/browse/letter/v", - "domain": "thecocktaildb", - "site": "thecocktaildb", - "values": { - "cocktail": [ - "Valencia Cocktail", - "Vampiro", - "Van Vleet", - "Vermouth Cassis", - "Vesper", - "Vesuvio", - "Veteran", - "Victor", - "Victory Collins", - "Vodka And Tonic", - "Vodka Fizz", - "Vodka Lemon", - "Vodka Martini", - "Vodka Russian", - "Vodka Slime", - "Vodka Tonic" - ] - }, - "schema": { - "type": "object", - "properties": { - "cocktail": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Fetch the list of every drink's name; target attribute: cocktail" - } - }, - "required": [ - "cocktail" - ] - }, - "input": "dataset/html/liveweb-ie-65b03f1a69f056a5a816.html", - "input_sha256": "db493e610bb3412c84dffa3e5a08d760cc69f672bef37c53559f8c18097f17d2", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "cocktail": { - "Valencia Cocktail": 1, - "Vampiro": 1, - "Van Vleet": 1, - "Vermouth Cassis": 1, - "Vesper": 1, - "Vesuvio": 1, - "Veteran": 1, - "Victor": 1, - "Victory Collins": 1, - "Vodka And Tonic": 1, - "Vodka Fizz": 1, - "Vodka Lemon": 1, - "Vodka Martini": 1, - "Vodka Russian": 1, - "Vodka Slime": 1, - "Vodka Tonic": 1 - } - }, - "original_reference": { - "cocktail": [ - "Valencia Cocktail", - "Vampiro", - "Van Vleet", - "Vermouth Cassis", - "Vesper", - "Vesuvio", - "Veteran", - "Victor", - "Victory Collins", - "Vodka And Tonic", - "Vodka Fizz", - "Vodka Lemon", - "Vodka Martini", - "Vodka Russian", - "Vodka Slime", - "Vodka Tonic" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "db493e610bb3412c84dffa3e5a08d760cc69f672bef37c53559f8c18097f17d2", - "reference_sha256": "4668e29bbdebac0725e49d8d6bc1b0e467cd3be536cd5d6731505527eb042247", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:54Z", - "source_url": "https://www.thecocktaildb.com/browse/letter/v" - }, - "query": "Fetch the list of every drink's name" - }, - { - "id": "liveweb-ie-cb27e6cd1b5e91265cc0", - "url": "https://www.themealdb.com/browse/letter/e", - "domain": "themealdb", - "site": "themealdb", - "values": { - "meal_link": [ - "/meal/52791-eton-mess-recipe", - "/meal/52888-eccles-cakes-recipe", - "/meal/52895-english-breakfast-recipe", - "/meal/52944-escovitch-fish-recipe", - "/meal/52955-egg-drop-soup-recipe", - "/meal/53031-egyptian-fatteh-recipe", - "/meal/53073-eggplant-adobo-recipe" - ] - }, - "schema": { - "type": "object", - "properties": { - "meal_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "List every food with its detail link; target attribute: meal_link" - } - }, - "required": [ - "meal_link" - ] - }, - "input": "dataset/html/liveweb-ie-cb27e6cd1b5e91265cc0.html", - "input_sha256": "4ea8f1ba44c433f96a6c2df717d069fc07830afa8c89c8d64279910f2c8cf09a", - "assets": [], - "value_kinds": { - "meal_link": "url" - }, - "source_value_counts": { - "meal_link": { - "/meal/52791-eton-mess-recipe": 1, - "/meal/52888-eccles-cakes-recipe": 1, - "/meal/52895-english-breakfast-recipe": 1, - "/meal/52944-escovitch-fish-recipe": 1, - "/meal/52955-egg-drop-soup-recipe": 1, - "/meal/53031-egyptian-fatteh-recipe": 1, - "/meal/53073-eggplant-adobo-recipe": 1 - } - }, - "original_reference": { - "meal_link": [ - "/meal/52791-eton-mess-recipe", - "/meal/52888-eccles-cakes-recipe", - "/meal/52895-english-breakfast-recipe", - "/meal/52944-escovitch-fish-recipe", - "/meal/52955-egg-drop-soup-recipe", - "/meal/53031-egyptian-fatteh-recipe", - "/meal/53073-eggplant-adobo-recipe" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "4ea8f1ba44c433f96a6c2df717d069fc07830afa8c89c8d64279910f2c8cf09a", - "reference_sha256": "ef63535d5c7d4d8275f24e931c49b47c7be42463a8a97b69b7f4bcff64ac82d6", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:50Z", - "source_url": "https://www.themealdb.com/browse/letter/e" - }, - "query": "List every food with its detail link" - }, - { - "id": "liveweb-ie-da521b0c09b84b5fa6ef", - "url": "https://www.thesportsdb.com/team/135252-boston-red-sox", - "domain": "thesportsdb", - "site": "thesportsdb", - "values": { - "team_link": [ - "/team/135252-boston-red-sox" - ] - }, - "schema": { - "type": "object", - "properties": { - "team_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Point me to the team's name link; target attribute: team_link" - } - }, - "required": [ - "team_link" - ] - }, - "input": "dataset/html/liveweb-ie-da521b0c09b84b5fa6ef.html", - "input_sha256": "0113bef91c51bac85ddbf1bd86cb9f7104f575ee392686b2cc4c9e9a30061c65", - "assets": [], - "value_kinds": { - "team_link": "url" - }, - "source_value_counts": { - "team_link": { - "/team/135252-boston-red-sox": 1 - } - }, - "original_reference": { - "team_link": [ - "/team/135252-boston-red-sox" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "0113bef91c51bac85ddbf1bd86cb9f7104f575ee392686b2cc4c9e9a30061c65", - "reference_sha256": "215e677bb23365e30fb6cd4a4b95266f96f11cbc6718a418d751089eaba109dc", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:47Z", - "source_url": "https://www.thesportsdb.com/team/135252-boston-red-sox" - }, - "query": "Point me to the team's name link" - }, - { - "id": "liveweb-ie-369f339db7ae2b1a52e6", - "url": "https://arxiv.org/abs/2401.09620", - "domain": "arxiv", - "site": "arxiv", - "values": { - "author": [ - "Anjali", - "Rachee Singh", - "Michael M. Swift" - ], - "author_profile_link": [ - "https://arxiv.org/search/cs?searchtype=author&query=Anjali", - "https://arxiv.org/search/cs?searchtype=author&query=Singh,+R", - "https://arxiv.org/search/cs?searchtype=author&query=Swift,+M+M" - ] - }, - "schema": { - "type": "object", - "properties": { - "author": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Please provide each author's name and the link to their detailed profile; target attribute: author" - }, - "author_profile_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Please provide each author's name and the link to their detailed profile; target attribute: author_profile_link" - } - }, - "required": [ - "author", - "author_profile_link" - ] - }, - "input": "dataset/html/liveweb-ie-369f339db7ae2b1a52e6.html", - "input_sha256": "92a435bdd17d54a14ef9280ea211a89be92af74a22c1ff7eac213eb9545673fa", - "assets": [], - "value_kinds": { - "author_profile_link": "url" - }, - "source_value_counts": { - "author": { - "Anjali": 1, - "Rachee Singh": 1, - "Michael M. Swift": 1 - }, - "author_profile_link": { - "https://arxiv.org/search/cs?searchtype=author&query=Anjali": 1, - "https://arxiv.org/search/cs?searchtype=author&query=Singh,+R": 1, - "https://arxiv.org/search/cs?searchtype=author&query=Swift,+M+M": 1 - } - }, - "original_reference": { - "author": [ - "Anjali", - "Rachee Singh", - "Michael M. Swift" - ], - "author_profile_link": [ - "https://arxiv.org/search/cs?searchtype=author&query=Anjali", - "https://arxiv.org/search/cs?searchtype=author&query=Singh,+R", - "https://arxiv.org/search/cs?searchtype=author&query=Swift,+M+M" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "92a435bdd17d54a14ef9280ea211a89be92af74a22c1ff7eac213eb9545673fa", - "reference_sha256": "83ba99fc6895985b664e6029bc171ece064c8f39bed475161158e9ce1e119a14", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:06Z", - "source_url": "https://arxiv.org/abs/2401.09620" - }, - "query": "Please provide each author's name and the link to their detailed profile" - }, - { - "id": "liveweb-ie-87e2fbffa4c58c203000", - "url": "https://books.toscrape.com/catalogue/page-44.html", - "domain": "booktoscrape", - "site": "booktoscrape", - "values": { - "price": [ - "£59.95", - "£26.09", - "£37.35", - "£24.72", - "£35.28", - "£51.32", - "£21.12", - "£27.35", - "£21.74", - "£40.87", - "£49.31", - "£22.11", - "£20.79", - "£27.41", - "£38.35", - "£21.55", - "£38.02", - "£22.06", - "£10.66", - "£56.58" - ], - "book_image": [ - "../media/cache/4d/a6/4da6939a6bbd895a5acdeabad46d1f9f.jpg", - "../media/cache/4e/d2/4ed2ec75df84ba1093fc4141b29abab3.jpg", - "../media/cache/7d/0b/7d0bb832760e81c281d8d283ba6a2b09.jpg", - "../media/cache/9e/ff/9eff8b66d583e8f0ba58a0bc86de40f2.jpg", - "../media/cache/ce/24/ce242d3eb00bf1938d6c18e0261ef868.jpg", - "../media/cache/94/c7/94c7add56827e01998189a021ec060e2.jpg", - "../media/cache/0b/ac/0baceb72d202880d1441a32193df6e11.jpg", - "../media/cache/ea/ee/eaee98b302dcaf91d1122816ae553295.jpg", - "../media/cache/5d/41/5d415bc31b1f856a2a9dc8706fd19abd.jpg", - "../media/cache/48/5d/485d2c4cedd639fcb005340a8d589bb3.jpg", - "../media/cache/99/48/9948564dec3ac2f9e32419911b181e37.jpg", - "../media/cache/ef/b7/efb72b546fc7cab4ba1735b4b82c5851.jpg", - "../media/cache/f9/19/f919f64fc0e3642cdc604134bfd93774.jpg", - "../media/cache/06/8c/068ccab8875670fccb8b72234370d16f.jpg", - "../media/cache/dd/6e/dd6e7b84e99f3b4b5655ea0db74af2b4.jpg", - "../media/cache/82/06/8206f351bd1ff6f52eed515a3b366916.jpg", - "../media/cache/41/72/417255e608c389aedfb68491dae92c9c.jpg", - "../media/cache/d7/f0/d7f00033bda3779b2fd017e32e7c800c.jpg", - "../media/cache/f8/be/f8be3238a1cf039a3e7d50de1d4c2cfd.jpg", - "../media/cache/71/d1/71d199b2abd878b9943dc818b77a1e72.jpg" - ] - }, - "schema": { - "type": "object", - "properties": { - "price": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve all book prices and product images; target attribute: price" - }, - "book_image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve all book prices and product images; target attribute: book_image" - } - }, - "required": [ - "price", - "book_image" - ] - }, - "input": "dataset/html/liveweb-ie-87e2fbffa4c58c203000.html", - "input_sha256": "5a5bbdf5b42f41a40855d175dcdf678bd9240e618ff29f4ef2291f3dd952b51b", - "assets": [], - "value_kinds": { - "book_image": "url" - }, - "source_value_counts": { - "price": { - "£59.95": 1, - "£26.09": 1, - "£37.35": 1, - "£24.72": 1, - "£35.28": 1, - "£51.32": 1, - "£21.12": 1, - "£27.35": 1, - "£21.74": 1, - "£40.87": 1, - "£49.31": 1, - "£22.11": 1, - "£20.79": 1, - "£27.41": 1, - "£38.35": 1, - "£21.55": 1, - "£38.02": 1, - "£22.06": 1, - "£10.66": 1, - "£56.58": 1 - }, - "book_image": { - "../media/cache/4d/a6/4da6939a6bbd895a5acdeabad46d1f9f.jpg": 1, - "../media/cache/4e/d2/4ed2ec75df84ba1093fc4141b29abab3.jpg": 1, - "../media/cache/7d/0b/7d0bb832760e81c281d8d283ba6a2b09.jpg": 1, - "../media/cache/9e/ff/9eff8b66d583e8f0ba58a0bc86de40f2.jpg": 1, - "../media/cache/ce/24/ce242d3eb00bf1938d6c18e0261ef868.jpg": 1, - "../media/cache/94/c7/94c7add56827e01998189a021ec060e2.jpg": 1, - "../media/cache/0b/ac/0baceb72d202880d1441a32193df6e11.jpg": 1, - "../media/cache/ea/ee/eaee98b302dcaf91d1122816ae553295.jpg": 1, - "../media/cache/5d/41/5d415bc31b1f856a2a9dc8706fd19abd.jpg": 1, - "../media/cache/48/5d/485d2c4cedd639fcb005340a8d589bb3.jpg": 1, - "../media/cache/99/48/9948564dec3ac2f9e32419911b181e37.jpg": 1, - "../media/cache/ef/b7/efb72b546fc7cab4ba1735b4b82c5851.jpg": 1, - "../media/cache/f9/19/f919f64fc0e3642cdc604134bfd93774.jpg": 1, - "../media/cache/06/8c/068ccab8875670fccb8b72234370d16f.jpg": 1, - "../media/cache/dd/6e/dd6e7b84e99f3b4b5655ea0db74af2b4.jpg": 1, - "../media/cache/82/06/8206f351bd1ff6f52eed515a3b366916.jpg": 1, - "../media/cache/41/72/417255e608c389aedfb68491dae92c9c.jpg": 1, - "../media/cache/d7/f0/d7f00033bda3779b2fd017e32e7c800c.jpg": 1, - "../media/cache/f8/be/f8be3238a1cf039a3e7d50de1d4c2cfd.jpg": 1, - "../media/cache/71/d1/71d199b2abd878b9943dc818b77a1e72.jpg": 1 - } - }, - "original_reference": { - "price": [ - "£59.95", - "£26.09", - "£37.35", - "£24.72", - "£35.28", - "£51.32", - "£21.12", - "£27.35", - "£21.74", - "£40.87", - "£49.31", - "£22.11", - "£20.79", - "£27.41", - "£38.35", - "£21.55", - "£38.02", - "£22.06", - "£10.66", - "£56.58" - ], - "book_image": [ - "../media/cache/4d/a6/4da6939a6bbd895a5acdeabad46d1f9f.jpg", - "../media/cache/4e/d2/4ed2ec75df84ba1093fc4141b29abab3.jpg", - "../media/cache/7d/0b/7d0bb832760e81c281d8d283ba6a2b09.jpg", - "../media/cache/9e/ff/9eff8b66d583e8f0ba58a0bc86de40f2.jpg", - "../media/cache/ce/24/ce242d3eb00bf1938d6c18e0261ef868.jpg", - "../media/cache/94/c7/94c7add56827e01998189a021ec060e2.jpg", - "../media/cache/0b/ac/0baceb72d202880d1441a32193df6e11.jpg", - "../media/cache/ea/ee/eaee98b302dcaf91d1122816ae553295.jpg", - "../media/cache/5d/41/5d415bc31b1f856a2a9dc8706fd19abd.jpg", - "../media/cache/48/5d/485d2c4cedd639fcb005340a8d589bb3.jpg", - "../media/cache/99/48/9948564dec3ac2f9e32419911b181e37.jpg", - "../media/cache/ef/b7/efb72b546fc7cab4ba1735b4b82c5851.jpg", - "../media/cache/f9/19/f919f64fc0e3642cdc604134bfd93774.jpg", - "../media/cache/06/8c/068ccab8875670fccb8b72234370d16f.jpg", - "../media/cache/dd/6e/dd6e7b84e99f3b4b5655ea0db74af2b4.jpg", - "../media/cache/82/06/8206f351bd1ff6f52eed515a3b366916.jpg", - "../media/cache/41/72/417255e608c389aedfb68491dae92c9c.jpg", - "../media/cache/d7/f0/d7f00033bda3779b2fd017e32e7c800c.jpg", - "../media/cache/f8/be/f8be3238a1cf039a3e7d50de1d4c2cfd.jpg", - "../media/cache/71/d1/71d199b2abd878b9943dc818b77a1e72.jpg" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "5a5bbdf5b42f41a40855d175dcdf678bd9240e618ff29f4ef2291f3dd952b51b", - "reference_sha256": "8987077ac9b8cd870b7e53a066f17c9017c1d13ce2d76fd05cbbeedfac259018", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:14Z", - "source_url": "https://books.toscrape.com/catalogue/page-44.html" - }, - "query": "Retrieve all book prices and product images" - }, - { - "id": "liveweb-ie-2f81562c22d0c9e2a0c6", - "url": "https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2023&year2=2023&make=Porsche&baseModel=718&srchtyp=ymm&pageno=1&rowLimit=50", - "domain": "fueleconomy", - "site": "fueleconomy", - "values": { - "vehicle_link": [ - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45910", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45911", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45917", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45919", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45916", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45918", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45966", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=46087", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45913", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45915", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45968", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45912", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45972", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45914", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45974", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45970", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45967", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45971", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45973", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45969", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45858" - ], - "driver_mpg": [ - "NA" - ] - }, - "schema": { - "type": "object", - "properties": { - "vehicle_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the detail links of all cars and all driver mpg from the same page.; target attribute: vehicle_link" - }, - "driver_mpg": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the detail links of all cars and all driver mpg from the same page.; target attribute: driver_mpg" - } - }, - "required": [ - "vehicle_link", - "driver_mpg" - ] - }, - "input": "dataset/html/liveweb-ie-2f81562c22d0c9e2a0c6.html", - "input_sha256": "5adc4d73360736348de81022576279fc2033fb701eda5bdfcd94ad3e97e328bd", - "assets": [], - "value_kinds": { - "vehicle_link": "url" - }, - "source_value_counts": { - "vehicle_link": { - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45910": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45911": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45917": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45919": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45916": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45918": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45966": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=46087": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45913": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45915": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45968": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45912": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45972": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45914": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45974": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45970": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45967": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45971": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45973": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45969": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45858": 1 - }, - "driver_mpg": { - "NA": 21 - } - }, - "original_reference": { - "vehicle_link": [ - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45910", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45911", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45917", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45919", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45916", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45918", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45966", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=46087", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45913", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45915", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45968", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45912", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45972", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45914", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45974", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45970", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45967", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45971", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45973", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45969", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45858" - ], - "driver_mpg": [ - "NA", - "NA", - "NA", - "NA", - "NA", - "NA", - "NA", - "NA", - "NA", - "NA", - "NA", - "NA", - "NA", - "NA", - "NA", - "NA", - "NA", - "NA", - "NA", - "NA", - "NA" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "5adc4d73360736348de81022576279fc2033fb701eda5bdfcd94ad3e97e328bd", - "reference_sha256": "814c8763d1d5a629753682a675dd27431aa34581b63974368c7a7547d6c9f2f7", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:43Z", - "source_url": "https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2023&year2=2023&make=Porsche&baseModel=718&srchtyp=ymm&pageno=1&rowLimit=50" - }, - "query": "Extract the detail links of all cars and all driver mpg from the same page." - }, - { - "id": "liveweb-ie-b6149bbcac4a22dca7f6", - "url": "https://huggingface.co/papers/2408.10914", - "domain": "huggingface", - "site": "huggingface", - "values": { - "title": [ - "To Code, or Not To Code? Exploring Impact of Code in Pre-training" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the title of the paper; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-b6149bbcac4a22dca7f6.html", - "input_sha256": "c3e83d7bf066a29619e00ae5ea8f361999c60110f024a9ad6cf1fe7b6872d573", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "To Code, or Not To Code? Exploring Impact of Code in Pre-training": 1 - } - }, - "original_reference": { - "title": [ - "To Code, or Not To Code? Exploring Impact of Code in Pre-training" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "c3e83d7bf066a29619e00ae5ea8f361999c60110f024a9ad6cf1fe7b6872d573", - "reference_sha256": "9e029b2346e57bb80aa6d74ec110cd183799a0c449b89b4027430f5c94a00611", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:38Z", - "source_url": "https://huggingface.co/papers/2408.10914" - }, - "query": "Extract the title of the paper" - }, - { - "id": "liveweb-ie-06f58797c777bde0174b", - "url": "https://iclr.cc/virtual/2025/poster/27768", - "domain": "iclr", - "site": "iclr", - "values": { - "title": [ - "Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the title of the research paper.; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-06f58797c777bde0174b.html", - "input_sha256": "3575b01e896b7538abe10064fd0021c56d2538a0572d4acefa57d46fd1385b19", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design": 1 - } - }, - "original_reference": { - "title": [ - "Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "3575b01e896b7538abe10064fd0021c56d2538a0572d4acefa57d46fd1385b19", - "reference_sha256": "da519af4f6d60051d244ed1b676780dc41016ac32c0fb117137825b87fde947c", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:10Z", - "source_url": "https://iclr.cc/virtual/2025/poster/27768" - }, - "query": "Retrieve the title of the research paper." - }, - { - "id": "liveweb-ie-3e567dfa4617e5710036", - "url": "https://icml.cc/virtual/2025/poster/44734", - "domain": "icml", - "site": "icml", - "values": { - "title": [ - "Preference-CFR: Beyond Nash Equilibrium for Better Game Strategies" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Fetch the title of this paper.; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-3e567dfa4617e5710036.html", - "input_sha256": "30af83627e2f9fe66de32be039bef3f215a85ff6e6ea57813be2dca2929a5f46", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Preference-CFR: Beyond Nash Equilibrium for Better Game Strategies": 1 - } - }, - "original_reference": { - "title": [ - "Preference-CFR: Beyond Nash Equilibrium for Better Game Strategies" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "30af83627e2f9fe66de32be039bef3f215a85ff6e6ea57813be2dca2929a5f46", - "reference_sha256": "e3d68c5b031965a2e8327cbcb954dc6afedf9721c6fb5e9de09c5e7404817304", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:23Z", - "source_url": "https://icml.cc/virtual/2025/poster/44734" - }, - "query": "Fetch the title of this paper." - }, - { - "id": "liveweb-ie-6a7e42879e1d994cdfc6", - "url": "https://marinespecies.org/photogallery.php?album=2509&pic=113273", - "domain": "marinespecies", - "site": "marinespecies", - "values": { - "author_profile_link": [ - "imis.php?module=person&persid=29432" - ], - "author": [ - "Fabrice, Aäron" - ], - "photo_title": [ - "Echiurus echiurus (Pallas, 1766)" - ], - "species_link": [ - "photogallery.php?album=2509" - ], - "species": [ - "Echiura (spoon worms)" - ] - }, - "schema": { - "type": "object", - "properties": { - "author_profile_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the author link, author name, photo title, species link, and species name from the website.; target attribute: author_profile_link" - }, - "author": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the author link, author name, photo title, species link, and species name from the website.; target attribute: author" - }, - "photo_title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the author link, author name, photo title, species link, and species name from the website.; target attribute: photo_title" - }, - "species_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the author link, author name, photo title, species link, and species name from the website.; target attribute: species_link" - }, - "species": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the author link, author name, photo title, species link, and species name from the website.; target attribute: species" - } - }, - "required": [ - "author_profile_link", - "author", - "photo_title", - "species_link", - "species" - ] - }, - "input": "dataset/html/liveweb-ie-6a7e42879e1d994cdfc6.html", - "input_sha256": "9b78696c566c844aae15543f4e2a4ade396c4fbf36a6144dbf9f93276642c251", - "assets": [], - "value_kinds": { - "author_profile_link": "url", - "species_link": "url" - }, - "source_value_counts": { - "author_profile_link": { - "imis.php?module=person&persid=29432": 1 - }, - "author": { - "Fabrice, Aäron": 1 - }, - "photo_title": { - "Echiurus echiurus (Pallas, 1766)": 1 - }, - "species_link": { - "photogallery.php?album=2509": 1 - }, - "species": { - "Echiura (spoon worms)": 1 - } - }, - "original_reference": { - "author_profile_link": [ - "imis.php?module=person&persid=29432" - ], - "author": [ - "Fabrice, Aäron" - ], - "photo_title": [ - "Echiurus echiurus (Pallas, 1766)" - ], - "species_link": [ - "photogallery.php?album=2509" - ], - "species": [ - "Echiura (spoon worms)" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "9b78696c566c844aae15543f4e2a4ade396c4fbf36a6144dbf9f93276642c251", - "reference_sha256": "d2734b31498b9620ccbb5713019bf2d1e664597cce8aad61a5d560dc3a545e08", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:32Z", - "source_url": "https://marinespecies.org/photogallery.php?album=2509&pic=113273" - }, - "query": "Retrieve the author link, author name, photo title, species link, and species name from the website." - }, - { - "id": "liveweb-ie-f87f66a4608d9e3f1214", - "url": "https://neurips.cc/virtual/2024/poster/96722", - "domain": "neurips", - "site": "neurips", - "values": { - "title": [ - "Boosting Text-to-Video Generative Model with MLLMs Feedback" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get the paper's title; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-f87f66a4608d9e3f1214.html", - "input_sha256": "7f0dea4f62b24331d246417ed311ff59cb72ac99c4286e015dd627be32faa571", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Boosting Text-to-Video Generative Model with MLLMs Feedback": 1 - } - }, - "original_reference": { - "title": [ - "Boosting Text-to-Video Generative Model with MLLMs Feedback" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "7f0dea4f62b24331d246417ed311ff59cb72ac99c4286e015dd627be32faa571", - "reference_sha256": "d624b0d829c95dc56ff8af0b5ee42a865276f36481dee3bf31d54e342d500044", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:16Z", - "source_url": "https://neurips.cc/virtual/2024/poster/96722" - }, - "query": "Get the paper's title" - }, - { - "id": "liveweb-ie-999fec03d2916cc49554", - "url": "http://quotes.toscrape.com/tag/life/", - "domain": "quotestoscrape", - "site": "quotestoscrape", - "values": { - "tag_link": [ - "/tag/life/page/1/" - ] - }, - "schema": { - "type": "object", - "properties": { - "tag_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Fetch link of the current viewing tag of the quote; target attribute: tag_link" - } - }, - "required": [ - "tag_link" - ] - }, - "input": "dataset/html/liveweb-ie-999fec03d2916cc49554.html", - "input_sha256": "1ab7fa64e23f65e4fee25fbfebd9ea17c5240939e6579128435c0f28d32428a5", - "assets": [], - "value_kinds": { - "tag_link": "url" - }, - "source_value_counts": { - "tag_link": { - "/tag/life/page/1/": 1 - } - }, - "original_reference": { - "tag_link": [ - "/tag/life/page/1/" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "1ab7fa64e23f65e4fee25fbfebd9ea17c5240939e6579128435c0f28d32428a5", - "reference_sha256": "33b9e1e87c2ded436e867c66e9b2027b6fdcb492779ab522186c2fbd21e147d1", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:10Z", - "source_url": "http://quotes.toscrape.com/tag/life/" - }, - "query": "Fetch link of the current viewing tag of the quote" - }, - { - "id": "liveweb-ie-60702c87d66354bda095", - "url": "https://sandbox.oxylabs.io/products/category/xbox-platform", - "domain": "sandboxoxlabio", - "site": "sandboxoxlabio", - "values": { - "game_count": [ - "367" - ] - }, - "schema": { - "type": "object", - "properties": { - "game_count": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Identify how many games belong to the current platform; target attribute: game_count" - } - }, - "required": [ - "game_count" - ] - }, - "input": "dataset/html/liveweb-ie-60702c87d66354bda095.html", - "input_sha256": "f67ae7c28e02aab17f09f6d646701a0285b50deb7a1f853cbd82f689cab6a5fb", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "game_count": { - "367": 1 - } - }, - "original_reference": { - "game_count": [ - "367" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "f67ae7c28e02aab17f09f6d646701a0285b50deb7a1f853cbd82f689cab6a5fb", - "reference_sha256": "623c8198f771360c6e64032a7b158c76ed39b05cc5d7d08095a7ddd9bd4395fb", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:05Z", - "source_url": "https://sandbox.oxylabs.io/products/category/xbox-platform" - }, - "query": "Identify how many games belong to the current platform" - }, - { - "id": "liveweb-ie-559d6175f5448af4d65f", - "url": "https://www.scrapethissite.com/pages/forms/?page_num=21", - "domain": "scrapethissite", - "site": "scrapethissite", - "values": { - "team": [ - "Colorado Avalanche", - "Dallas Stars", - "Detroit Red Wings", - "Edmonton Oilers", - "Florida Panthers", - "Los Angeles Kings", - "Minnesota Wild", - "Montreal Canadiens", - "Nashville Predators", - "New Jersey Devils", - "New York Islanders", - "New York Rangers", - "Ottawa Senators", - "Philadelphia Flyers", - "Phoenix Coyotes", - "Pittsburgh Penguins", - "San Jose Sharks", - "St. Louis Blues", - "Tampa Bay Lightning", - "Toronto Maple Leafs", - "Vancouver Canucks", - "Washington Capitals", - "Anaheim Ducks", - "Atlanta Thrashers", - "Boston Bruins" - ] - }, - "schema": { - "type": "object", - "properties": { - "team": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract all hockey team names; target attribute: team" - } - }, - "required": [ - "team" - ] - }, - "input": "dataset/html/liveweb-ie-559d6175f5448af4d65f.html", - "input_sha256": "3e00dd35e14bf1b33d0136fce7491c96b9b5d036ec0017d8c3cbec8b5621e7ff", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "team": { - "Colorado Avalanche": 1, - "Dallas Stars": 1, - "Detroit Red Wings": 1, - "Edmonton Oilers": 1, - "Florida Panthers": 1, - "Los Angeles Kings": 1, - "Minnesota Wild": 1, - "Montreal Canadiens": 1, - "Nashville Predators": 1, - "New Jersey Devils": 1, - "New York Islanders": 1, - "New York Rangers": 1, - "Ottawa Senators": 1, - "Philadelphia Flyers": 1, - "Phoenix Coyotes": 1, - "Pittsburgh Penguins": 1, - "San Jose Sharks": 1, - "St. Louis Blues": 1, - "Tampa Bay Lightning": 1, - "Toronto Maple Leafs": 1, - "Vancouver Canucks": 1, - "Washington Capitals": 1, - "Anaheim Ducks": 1, - "Atlanta Thrashers": 1, - "Boston Bruins": 1 - } - }, - "original_reference": { - "team": [ - "Colorado Avalanche", - "Dallas Stars", - "Detroit Red Wings", - "Edmonton Oilers", - "Florida Panthers", - "Los Angeles Kings", - "Minnesota Wild", - "Montreal Canadiens", - "Nashville Predators", - "New Jersey Devils", - "New York Islanders", - "New York Rangers", - "Ottawa Senators", - "Philadelphia Flyers", - "Phoenix Coyotes", - "Pittsburgh Penguins", - "San Jose Sharks", - "St. Louis Blues", - "Tampa Bay Lightning", - "Toronto Maple Leafs", - "Vancouver Canucks", - "Washington Capitals", - "Anaheim Ducks", - "Atlanta Thrashers", - "Boston Bruins" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "3e00dd35e14bf1b33d0136fce7491c96b9b5d036ec0017d8c3cbec8b5621e7ff", - "reference_sha256": "e32f66c2e67dfc04e6b46cfca6623a10d67af0e3be3ae93458c86a2b1cd5fe94", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:00Z", - "source_url": "https://www.scrapethissite.com/pages/forms/?page_num=21" - }, - "query": "Extract all hockey team names" - }, - { - "id": "liveweb-ie-61a01d5f40993389afc6", - "url": "https://www.thecocktaildb.com/drink/11418-gin-squirt", - "domain": "thecocktaildb", - "site": "thecocktaildb", - "values": { - "ingredient_link": [ - "/ingredient/2-gin", - "/ingredient/250-grenadine", - "/ingredient/409-powdered-sugar", - "/ingredient/397-pineapple", - "/ingredient/470-strawberries", - "/ingredient/89-carbonated-water" - ] - }, - "schema": { - "type": "object", - "properties": { - "ingredient_link": { - 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] - }, - "input": "dataset/html/liveweb-ie-e772c88ec7367d6c8686.html", - "input_sha256": "ee23ce39352405bb2b26cfded00f097d10a24586baceac421f550575a26d13e6", - "assets": [], - "value_kinds": { - "flag_image": "url" - }, - "source_value_counts": { - "flag_image": { - "/images/icons/flags/big/64/it.png": 1 - } - }, - "original_reference": { - "flag_image": [ - "/images/icons/flags/big/64/it.png" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "ee23ce39352405bb2b26cfded00f097d10a24586baceac421f550575a26d13e6", - "reference_sha256": "f78b42cb2627a0b7a87bda048e319bb8069ed14627bed8bcc8da42348b5f244b", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:51Z", - "source_url": "https://www.themealdb.com/meal/52835-fettucine-alfredo-recipe" - }, - "query": "Find the country image related to the food" - }, - { - "id": "liveweb-ie-1415d6a119ca5b5d92fb", - "url": "https://www.thesportsdb.com/season/4370-formula-1/1983", - "domain": "thesportsdb", - "site": "thesportsdb", - "values": { - "season_badge": [ - "https://r2.thesportsdb.com/images/media/league/badgearchive/65e5191749222454.png" - ], - "season_poster": [ - "https://r2.thesportsdb.com/images/media/league/posterarchive/rjitui1750782050.jpg" - ] - }, - "schema": { - "type": "object", - "properties": { - "season_badge": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the badge and the poster of the seasonm; target attribute: season_badge" - }, - "season_poster": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the badge and the poster of the seasonm; target attribute: season_poster" - } - }, - "required": [ - "season_badge", - "season_poster" - ] - }, - "input": "dataset/html/liveweb-ie-1415d6a119ca5b5d92fb.html", - "input_sha256": "8c0691263434b38e6a8de627fffe2591ae8f276fb2887fc1d715a30f85d22314", - "assets": [], - "value_kinds": { - "season_badge": "url", - "season_poster": "url" - }, - "source_value_counts": { - "season_badge": { - "https://r2.thesportsdb.com/images/media/league/badgearchive/65e5191749222454.png": 1 - }, - "season_poster": { - "https://r2.thesportsdb.com/images/media/league/posterarchive/rjitui1750782050.jpg": 1 - } - }, - "original_reference": { - "season_badge": [ - "https://r2.thesportsdb.com/images/media/league/badgearchive/65e5191749222454.png" - ], - "season_poster": [ - "https://r2.thesportsdb.com/images/media/league/posterarchive/rjitui1750782050.jpg" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "8c0691263434b38e6a8de627fffe2591ae8f276fb2887fc1d715a30f85d22314", - "reference_sha256": "95e1422194f12bb39995ebf3ed3137a6f3bf618139ac4dc2f1935f02fff9ff7f", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:48Z", - "source_url": "https://www.thesportsdb.com/season/4370-formula-1/1983" - }, - "query": "Extract the badge and the poster of the seasonm" - 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"https://arxiv.org/search/cs?searchtype=author&query=Mehrtens,+H", - "https://arxiv.org/search/cs?searchtype=author&query=M%C3%BChlbauer,+F", - "https://arxiv.org/search/cs?searchtype=author&query=Schindler,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Schnicke,+T", - "https://arxiv.org/search/cs?searchtype=author&query=Bertelmann,+R", - "https://arxiv.org/search/cs?searchtype=author&query=Amaral,+J+N", - "https://arxiv.org/search/cs?searchtype=author&query=Tian,+W", - "https://arxiv.org/search/cs?searchtype=author&query=Fang,+Z", - "https://arxiv.org/search/cs?searchtype=author&query=Wang,+X", - "https://arxiv.org/search/cs?searchtype=author&query=Costas,+R", - "https://arxiv.org/search/cs?searchtype=author&query=Bagchi,+C", - "https://arxiv.org/search/cs?searchtype=author&query=Malmi,+E", - "https://arxiv.org/search/cs?searchtype=author&query=Grabowicz,+P", - "https://arxiv.org/search/cs?searchtype=author&query=Banerjee,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Sanyal,+D+K", - "https://arxiv.org/search/cs?searchtype=author&query=Chattopadhyay,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Bhowmick,+P+K", - "https://arxiv.org/search/cs?searchtype=author&query=Das,+P+P", - "https://arxiv.org/search/cs?searchtype=author&query=Tian,+C", - "https://arxiv.org/search/cs?searchtype=author&query=Jiang,+X", - "https://arxiv.org/search/cs?searchtype=author&query=Huang,+Y", - "https://arxiv.org/search/cs?searchtype=author&query=Ma,+L", - "https://arxiv.org/search/cs?searchtype=author&query=Ma,+Y", - "https://arxiv.org/search/cs?searchtype=author&query=Karras,+O", - "https://arxiv.org/search/cs?searchtype=author&query=G%C3%B6pfert,+J", - "https://arxiv.org/search/cs?searchtype=author&query=Kuckertz,+P", - "https://arxiv.org/search/cs?searchtype=author&query=Pelser,+T", - "https://arxiv.org/search/cs?searchtype=author&query=Auer,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Nazarovets,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Weissburg,+I+X", - "https://arxiv.org/search/cs?searchtype=author&query=Arora,+M", - "https://arxiv.org/search/cs?searchtype=author&query=Wang,+X", - "https://arxiv.org/search/cs?searchtype=author&query=Pan,+L", - "https://arxiv.org/search/cs?searchtype=author&query=Wang,+W+Y", - "https://arxiv.org/search/cs?searchtype=author&query=Culbert,+J", - "https://arxiv.org/search/cs?searchtype=author&query=Hobert,+A", - "https://arxiv.org/search/cs?searchtype=author&query=Jahn,+N", - "https://arxiv.org/search/cs?searchtype=author&query=Haupka,+N", - "https://arxiv.org/search/cs?searchtype=author&query=Schmidt,+M", - "https://arxiv.org/search/cs?searchtype=author&query=Donner,+P", - "https://arxiv.org/search/cs?searchtype=author&query=Mayr,+P", - "https://arxiv.org/search/cs?searchtype=author&query=Stegm%C3%BCller,+J", - "https://arxiv.org/search/cs?searchtype=author&query=Schubotz,+M", - "https://arxiv.org/search/cs?searchtype=author&query=Schultze,+C", - "https://arxiv.org/search/cs?searchtype=author&query=Kerkfeld,+N", - "https://arxiv.org/search/cs?searchtype=author&query=Kuebart,+K", - "https://arxiv.org/search/cs?searchtype=author&query=Weber,+P", - "https://arxiv.org/search/cs?searchtype=author&query=Wolter,+M", - "https://arxiv.org/search/cs?searchtype=author&query=Selgert,+F", - "https://arxiv.org/search/cs?searchtype=author&query=Masawe,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Muneja,+P", - "https://arxiv.org/search/cs?searchtype=author&query=Msonge,+V", - "https://arxiv.org/search/astro-ph?searchtype=author&query=Observatory+Bibliographers+Collaboration", - "https://arxiv.org/search/astro-ph?searchtype=author&query=D'Abrusco,+R", - "https://arxiv.org/search/astro-ph?searchtype=author&query=Gomez,+M", - "https://arxiv.org/search/astro-ph?searchtype=author&query=Grothkopf,+U", - "https://arxiv.org/search/astro-ph?searchtype=author&query=Hunt,+S", - "https://arxiv.org/search/astro-ph?searchtype=author&query=Kneale,+R", - "https://arxiv.org/search/astro-ph?searchtype=author&query=Konuma,+M", - "https://arxiv.org/search/astro-ph?searchtype=author&query=Novacescu,+J", - "https://arxiv.org/search/astro-ph?searchtype=author&query=Rebull,+L", - "https://arxiv.org/search/astro-ph?searchtype=author&query=Scire,+E", - "https://arxiv.org/search/astro-ph?searchtype=author&query=Scott,+E", - "https://arxiv.org/search/astro-ph?searchtype=author&query=Shaw,+R", - "https://arxiv.org/search/astro-ph?searchtype=author&query=Thompson,+D", - "https://arxiv.org/search/astro-ph?searchtype=author&query=Utley,+L", - "https://arxiv.org/search/astro-ph?searchtype=author&query=Wilkinson,+C", - "https://arxiv.org/search/astro-ph?searchtype=author&query=Winkelman,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Thomasian,+A", - "https://arxiv.org/search/cs?searchtype=author&query=Wang,+H", - "https://arxiv.org/search/physics?searchtype=author&query=Huang,+Y", - "https://arxiv.org/search/physics?searchtype=author&query=Ma,+L", - "https://arxiv.org/search/physics?searchtype=author&query=Tian,+C", - "https://arxiv.org/search/physics?searchtype=author&query=Jiang,+X", - "https://arxiv.org/search/physics?searchtype=author&query=Sinatra,+R", - "https://arxiv.org/search/physics?searchtype=author&query=Ma,+Y", - "https://arxiv.org/search/cs?searchtype=author&query=Chen,+K", - "https://arxiv.org/search/cs?searchtype=author&query=He,+Z", - "https://arxiv.org/search/cs?searchtype=author&query=Burghardt,+K", - "https://arxiv.org/search/cs?searchtype=author&query=Zhang,+J", - "https://arxiv.org/search/cs?searchtype=author&query=Lerman,+K", - "https://arxiv.org/search/cs?searchtype=author&query=McCallum,+M+C", - "https://arxiv.org/search/cs?searchtype=author&query=Henkel,+F", - "https://arxiv.org/search/cs?searchtype=author&query=Kim,+J", - "https://arxiv.org/search/cs?searchtype=author&query=Sandberg,+S+E", - "https://arxiv.org/search/cs?searchtype=author&query=Davies,+M+E+P", - "https://arxiv.org/search/astro-ph?searchtype=author&query=Accomazzi,+A", - "https://arxiv.org/search/cs?searchtype=author&query=Shamsabadi,+M", - "https://arxiv.org/search/cs?searchtype=author&query=D'Souza,+J", - "https://arxiv.org/search/cs?searchtype=author&query=Auer,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Giner-Miguelez,+J", - "https://arxiv.org/search/cs?searchtype=author&query=G%C3%B3mez,+A", - "https://arxiv.org/search/cs?searchtype=author&query=Cabot,+J", - "https://arxiv.org/search/cs?searchtype=author&query=Xiang,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Jiang,+X", - "https://arxiv.org/search/cs?searchtype=author&query=Liu,+B", - "https://arxiv.org/search/cs?searchtype=author&query=Huang,+Y", - "https://arxiv.org/search/cs?searchtype=author&query=Tian,+C", - "https://arxiv.org/search/cs?searchtype=author&query=Ma,+Y", - "https://arxiv.org/search/cs?searchtype=author&query=Giunchiglia,+F", - "https://arxiv.org/search/cs?searchtype=author&query=Bagchi,+M", - "https://arxiv.org/search/cs?searchtype=author&query=Das,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Greco,+C+M", - "https://arxiv.org/search/cs?searchtype=author&query=Tagarelli,+A", - "https://arxiv.org/search/cs?searchtype=author&query=Zhao,+Z", - "https://arxiv.org/search/cs?searchtype=author&query=Ma,+D", - "https://arxiv.org/search/cs?searchtype=author&query=Chen,+L", - "https://arxiv.org/search/cs?searchtype=author&query=Sun,+L", - "https://arxiv.org/search/cs?searchtype=author&query=Li,+Z", - "https://arxiv.org/search/cs?searchtype=author&query=Xia,+Y", - "https://arxiv.org/search/cs?searchtype=author&query=Chen,+B", - "https://arxiv.org/search/cs?searchtype=author&query=Xu,+H", - "https://arxiv.org/search/cs?searchtype=author&query=Zhu,+Z", - "https://arxiv.org/search/cs?searchtype=author&query=Zhu,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Fan,+S", - "https://arxiv.org/search/cs?searchtype=author&query=Shen,+G", - "https://arxiv.org/search/cs?searchtype=author&query=Yu,+K", - "https://arxiv.org/search/cs?searchtype=author&query=Chen,+X", - "https://arxiv.org/search/econ?searchtype=author&query=Strielkowski,+W", - "https://arxiv.org/search/cs?searchtype=author&query=Garc%C3%ADa-Silva,+A", - "https://arxiv.org/search/cs?searchtype=author&query=Berr%C3%ADo,+C", - "https://arxiv.org/search/cs?searchtype=author&query=G%C3%B3mez-P%C3%A9rez,+J+M", - "https://arxiv.org/search/cs?searchtype=author&query=Mohammadi,+M", - "https://arxiv.org/search/cs?searchtype=author&query=Bruijn,+L+M", - "https://arxiv.org/search/cs?searchtype=author&query=Wieling,+M", - "https://arxiv.org/search/cs?searchtype=author&query=Vols,+M" - ], - "pdf_link": [ - "/pdf/2401.00980", - "/pdf/2401.00997", - "/pdf/2401.01751", - "/pdf/2401.02029", - "/pdf/2401.02422", - "/pdf/2401.02489", - "/pdf/2401.02965", - "/pdf/2401.03343", - "/pdf/2401.03545", - "/pdf/2401.04022", - "/pdf/2401.04323", - "/pdf/2401.04887", - "/pdf/2401.07052", - "/pdf/2401.08297", - "/pdf/2401.08804", - "/pdf/2401.10205", - "/pdf/2401.10504", - "/pdf/2401.11116", - "/pdf/2401.12220", - "/pdf/2401.12739", - "/pdf/2401.13365", - "/pdf/2401.13490", - "/pdf/2401.13782", - "/pdf/2401.16359", - "/pdf/2401.16786", - "/pdf/2401.16845", - "/pdf/2401.17959", - "/pdf/2401.00060", - "/pdf/2401.02858", - "/pdf/2401.03642", - "/pdf/2401.06794", - "/pdf/2401.08202", - "/pdf/2401.08902", - "/pdf/2401.09685", - "/pdf/2401.10040", - "/pdf/2401.10304", - "/pdf/2401.11742", - "/pdf/2401.11753", - "/pdf/2401.14524", - "/pdf/2401.14818", - "/pdf/2401.14952", - "/pdf/2401.16293", - "/pdf/2401.16429" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "352724889b4669517bb08e4535ea764d8ca1ce743354ca81b86a36d534391c42", - "reference_sha256": "5c2b20e691487119df76b7a180eb80a5194f44f1ed7d59f92c6f11e77074557c", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:06Z", - "source_url": "https://arxiv.org/list/cs.DL/2024-01" - }, - "query": "Tell me the detail pdf URL of every paper and its associated authors" - }, - { - "id": "liveweb-ie-ac70b54f44c56987f324", - "url": "https://books.toscrape.com/catalogue/dark-notes_800/index.html", - "domain": "booktoscrape", - "site": "booktoscrape", - "values": { - "stock_status": [ - "In stock (15 available)" - ], - "title": [ - "Dark Notes" - ] - }, - "schema": { - "type": "object", - "properties": { - "stock_status": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the book title and stock status.; target attribute: stock_status" - }, - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the book title and stock status.; target attribute: title" - } - }, - "required": [ - "stock_status", - "title" - ] - }, - "input": "dataset/html/liveweb-ie-ac70b54f44c56987f324.html", - "input_sha256": "5f18567aa4e6009b82499f44df56088945b81a69a04c35b9e20759c178c71877", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "stock_status": { - "In stock (15 available)": 1 - }, - "title": { - "Dark Notes": 1 - } - }, - "original_reference": { - "stock_status": [ - "In stock (15 available)" - ], - "title": [ - "Dark Notes" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "5f18567aa4e6009b82499f44df56088945b81a69a04c35b9e20759c178c71877", - "reference_sha256": "b5199b8f9b89a86d63c101ee6d179a2dff0f1692f74fec7ce7904abea425dff2", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:16Z", - "source_url": "https://books.toscrape.com/catalogue/dark-notes_800/index.html" - }, - "query": "Extract the book title and stock status." - }, - { - "id": "liveweb-ie-68044724b2d648a208ae", - "url": "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47296", - "domain": "fueleconomy", - "site": "fueleconomy", - "values": { - "vehicle_image": [ - "https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera.jpg" - ], - "vehicle": [ - "2024 Porsche 911 Carrera 4S" - ] - }, - "schema": { - "type": "object", - "properties": { - "vehicle_image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the car name and its image from the page.; target attribute: vehicle_image" - }, - "vehicle": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the car name and its image from the page.; target attribute: vehicle" - } - }, - "required": [ - "vehicle_image", - "vehicle" - ] - }, - "input": "dataset/html/liveweb-ie-68044724b2d648a208ae.html", - "input_sha256": "c18112913e7692cca8725aaba392ed6e193cc10bc921ea1669c48f94b396da40", - "assets": [], - "value_kinds": { - "vehicle_image": "url" - }, - "source_value_counts": { - "vehicle_image": { - "https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera.jpg": 1 - }, - "vehicle": { - "2024 Porsche 911 Carrera 4S": 1 - } - }, - "original_reference": { - "vehicle_image": [ - "https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera.jpg" - ], - "vehicle": [ - "2024 Porsche 911 Carrera 4S" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "c18112913e7692cca8725aaba392ed6e193cc10bc921ea1669c48f94b396da40", - "reference_sha256": "d2329c6a89a00da415e8ea4a08dcf126fbe8dbbc10b9910fbb4d86d67f621208", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:43Z", - "source_url": "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47296" - }, - "query": "Extract the car name and its image from the page." - }, - { - "id": "liveweb-ie-ce4b4af126a364cbab3d", - "url": "https://huggingface.co/papers/date/2024-08-27", - "domain": "huggingface", - "site": "huggingface", - "values": { - "publish_date": [ - "Aug 27" - ] - }, - "schema": { - "type": "object", - "properties": { - "publish_date": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the date when these papers were added; target attribute: publish_date" - } - }, - "required": [ - "publish_date" - ] - }, - "input": "dataset/html/liveweb-ie-ce4b4af126a364cbab3d.html", - "input_sha256": "d4208623eba2e8903c17bf92279dd79fa97e7fb812572bf08e8e3927ab358178", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "publish_date": { - "Aug 27": 1 - } - }, - "original_reference": { - "publish_date": [ - "Aug 27" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "d4208623eba2e8903c17bf92279dd79fa97e7fb812572bf08e8e3927ab358178", - "reference_sha256": "496f5b7903b37747667858ab93379c755de9dbf7301469acd711d40a67f5ffb3", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:38Z", - "source_url": "https://huggingface.co/papers/date/2024-08-27" - }, - "query": "Extract the date when these papers were added" - }, - { - "id": "liveweb-ie-db96a7e4f3dd63882550", - "url": "https://iclr.cc/virtual/2025/papers.html?filter=title&search=synthesis", - "domain": "iclr", - "site": "iclr", - "values": { - "title": [ - "Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets", - "SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning", - "Learning General-purpose Biomedical Volume Representations using Randomized Synthesis", - "Diffusion On Syntax Trees For Program Synthesis", - "3DIS: Depth-Driven Decoupled Image Synthesis for Universal Multi-Instance Generation", - "Controllable Satellite-to-Street-View Synthesis with Precise Pose Alignment and Zero-Shot Environmental Control", - "FreeVS: Generative View Synthesis on Free Driving Trajectory", - "T2V2: A Unified Non-Autoregressive Model for Speech Recognition and Synthesis via Multitask Learning", - "Anyprefer: An Agentic Framework for Preference Data Synthesis", - "MotionDreamer: One-to-Many Motion Synthesis with Localized Generative Masked Transformer", - "INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning", - "h4rm3l: A Language for Composable Jailbreak Attack Synthesis", - "IV-mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis", - "Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model", - "Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis", - "LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias", - "You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs", - "HALL-E: Hierarchical Neural Codec Language Model for Minute-Long Zero-Shot Text-to-Speech Synthesis", - "Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing", - "HQGS: High-Quality Novel View Synthesis with Gaussian Splatting in Degraded Scenes", - "Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration", - "RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning", - "MetaDesigner: Advancing Artistic Typography through AI-Driven, User-Centric, and Multilingual WordArt Synthesis", - "SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers", - "Training Language Models on Synthetic Edit Sequences Improves Code Synthesis", - "X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios", - "Procedural Synthesis of Synthesizable Molecules", - "STAR: Synthesis of Tailored Architectures", - "Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis", - "VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis", - "SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints", - "Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection", - "AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials", - "Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning", - "LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models", - "Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective", - "Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract all paper titles.; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-db96a7e4f3dd63882550.html", - "input_sha256": "1f583c6558bdbf16867e902d806de7010a21b0538abf283cd6aca3c4d3755a01", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets": 1, - "SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning": 1, - "Learning General-purpose Biomedical Volume Representations using Randomized Synthesis": 1, - "Diffusion On Syntax Trees For Program Synthesis": 1, - "3DIS: Depth-Driven Decoupled Image Synthesis for Universal Multi-Instance Generation": 1, - "Controllable Satellite-to-Street-View Synthesis with Precise Pose Alignment and Zero-Shot Environmental Control": 1, - "FreeVS: Generative View Synthesis on Free Driving Trajectory": 1, - "T2V2: A Unified Non-Autoregressive Model for Speech Recognition and Synthesis via Multitask Learning": 1, - "Anyprefer: An Agentic Framework for Preference Data Synthesis": 1, - "MotionDreamer: One-to-Many Motion Synthesis with Localized Generative Masked Transformer": 1, - "INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning": 1, - "h4rm3l: A Language for Composable Jailbreak Attack Synthesis": 1, - "IV-mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis": 1, - "Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model": 1, - "Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis": 1, - "LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias": 1, - "You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs": 1, - "HALL-E: Hierarchical Neural Codec Language Model for Minute-Long Zero-Shot Text-to-Speech Synthesis": 1, - "Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing": 1, - "HQGS: High-Quality Novel View Synthesis with Gaussian Splatting in Degraded Scenes": 1, - "Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration": 1, - "RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning": 1, - "MetaDesigner: Advancing Artistic Typography through AI-Driven, User-Centric, and Multilingual WordArt Synthesis": 1, - "SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers": 1, - "Training Language Models on Synthetic Edit Sequences Improves Code Synthesis": 1, - "X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios": 1, - "Procedural Synthesis of Synthesizable Molecules": 1, - "STAR: Synthesis of Tailored Architectures": 1, - "Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis": 1, - "VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis": 1, - "SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints": 1, - "Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection": 1, - "AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials": 1, - "Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning": 1, - "LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models": 1, - "Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective": 1, - "Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages": 1 - } - }, - "original_reference": { - "title": [ - "Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets", - "SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning", - "Learning General-purpose Biomedical Volume Representations using Randomized Synthesis", - "Diffusion On Syntax Trees For Program Synthesis", - "3DIS: Depth-Driven Decoupled Image Synthesis for Universal Multi-Instance Generation", - "Controllable Satellite-to-Street-View Synthesis with Precise Pose Alignment and Zero-Shot Environmental Control", - "FreeVS: Generative View Synthesis on Free Driving Trajectory", - "T2V2: A Unified Non-Autoregressive Model for Speech Recognition and Synthesis via Multitask Learning", - "Anyprefer: An Agentic Framework for Preference Data Synthesis", - "MotionDreamer: One-to-Many Motion Synthesis with Localized Generative Masked Transformer", - "INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning", - "h4rm3l: A Language for Composable Jailbreak Attack Synthesis", - "IV-mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis", - "Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model", - "Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis", - "LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias", - "You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs", - "HALL-E: Hierarchical Neural Codec Language Model for Minute-Long Zero-Shot Text-to-Speech Synthesis", - "Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing", - "HQGS: High-Quality Novel View Synthesis with Gaussian Splatting in Degraded Scenes", - "Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration", - "RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning", - "MetaDesigner: Advancing Artistic Typography through AI-Driven, User-Centric, and Multilingual WordArt Synthesis", - "SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers", - "Training Language Models on Synthetic Edit Sequences Improves Code Synthesis", - "X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios", - "Procedural Synthesis of Synthesizable Molecules", - "STAR: Synthesis of Tailored Architectures", - "Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis", - "VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis", - "SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints", - "Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection", - "AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials", - "Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning", - "LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models", - "Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective", - "Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "1f583c6558bdbf16867e902d806de7010a21b0538abf283cd6aca3c4d3755a01", - "reference_sha256": "5598598de699471e17b36c34566a57af9d58181afbf168ef40837b617e4c844e", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [ - { - "field": "title", - "original": "Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration", - "accepted": "Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration", - "source_sha256": "1f583c6558bdbf16867e902d806de7010a21b0538abf283cd6aca3c4d3755a01", - "reason": "whitespace and source-supported HTML entity decoding only" - } - ], - "observed_at": "2026-11-06T10:07:11Z", - "source_url": "https://iclr.cc/virtual/2025/papers.html?filter=title&search=synthesis" - }, - "query": "Extract all paper titles." - }, - { - "id": "liveweb-ie-06cbd8aff7f8de2007f8", - "url": "https://icml.cc/virtual/2025/papers.html?filter=title&search=tool", - "domain": "icml", - "site": "icml", - "values": { - "title": [ - "Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation", - "The Berkeley Function Calling Leaderboard (BFCL): From Tool Use to Agentic Evaluation of Large Language Models", - "Tool Unlearning for Tool-Augmented LLMs", - "Reducing Tool Hallucination via Reliability Alignment", - "EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve every paper title; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-06cbd8aff7f8de2007f8.html", - "input_sha256": "c2f7b51f020c6f773e3a8b3000687e5f0b602f497e530d57aebd7ca624c879d9", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation": 1, - "The Berkeley Function Calling Leaderboard (BFCL): From Tool Use to Agentic Evaluation of Large Language Models": 1, - "Tool Unlearning for Tool-Augmented LLMs": 1, - "Reducing Tool Hallucination via Reliability Alignment": 1, - "EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities": 1 - } - }, - "original_reference": { - "title": [ - "Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation", - "The Berkeley Function Calling Leaderboard (BFCL): From Tool Use to Agentic Evaluation of Large Language Models", - "Tool Unlearning for Tool-Augmented LLMs", - "Reducing Tool Hallucination via Reliability Alignment", - "EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "c2f7b51f020c6f773e3a8b3000687e5f0b602f497e530d57aebd7ca624c879d9", - "reference_sha256": "35a8f21a0b31abb4421354612ed768276d0176e4ee8dce8082b67e7c3031df16", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:24Z", - "source_url": "https://icml.cc/virtual/2025/papers.html?filter=title&search=tool" - }, - "query": "Retrieve every paper title" - }, - { - "id": "liveweb-ie-d651771ea0b071aea9a8", - "url": "https://marinespecies.org/photogallery.php?album=2509&pic=48562", - "domain": "marinespecies", - "site": "marinespecies", - "values": { - "species_link": [ - "photogallery.php?album=2509" - ], - "author": [ - "Pillon, Roberto" - ], - "species_image": [ - "https://images.marinespecies.org/thumbs/48562_bonellia-viridis.jpg?w=700" - ] - }, - "schema": { - "type": "object", - "properties": { - "species_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the name of the author, link of the species and image of this species of the photo; target attribute: species_link" - }, - "author": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the name of the author, link of the species and image of this species of the photo; target attribute: author" - }, - "species_image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the name of the author, link of the species and image of this species of the photo; target attribute: species_image" - } - }, - "required": [ - "species_link", - "author", - "species_image" - ] - }, - "input": "dataset/html/liveweb-ie-d651771ea0b071aea9a8.html", - "input_sha256": "402329071930ce0d49afadeb73e8955fb7c83f16d226f3e5cb4df8bc7ea3e372", - "assets": [], - "value_kinds": { - "species_link": "url", - "species_image": "url" - }, - "source_value_counts": { - "species_link": { - "photogallery.php?album=2509": 1 - }, - "author": { - "Pillon, Roberto": 1 - }, - "species_image": { - "https://images.marinespecies.org/thumbs/48562_bonellia-viridis.jpg?w=700": 1 - } - }, - "original_reference": { - "species_link": [ - "photogallery.php?album=2509" - ], - "author": [ - "Pillon, Roberto" - ], - "species_image": [ - "https://images.marinespecies.org/thumbs/48562_bonellia-viridis.jpg?w=700" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "402329071930ce0d49afadeb73e8955fb7c83f16d226f3e5cb4df8bc7ea3e372", - "reference_sha256": "5c06366bf8126658e2a670e474956f5793bede567810598e0734f97e06186325", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:32Z", - "source_url": "https://marinespecies.org/photogallery.php?album=2509&pic=48562" - }, - "query": "Extract the name of the author, link of the species and image of this species of the photo" - }, - { - "id": "liveweb-ie-a57ca8fc3d732dea37a6", - "url": "https://neurips.cc/virtual/2024/papers.html?filter=title&search=editing", - "domain": "neurips", - "site": "neurips", - "values": { - "title": [ - "GFlowNet Assisted Biological Sequence Editing", - "DisCEdit: Model Editing by Identifying Discriminative Components", - "Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing", - "Exploring Low-Dimensional Subspace in Diffusion Models for Controllable Image Editing", - "Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps", - "COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing", - "I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing", - "MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing", - "ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping", - "Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization", - "D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup", - "CigTime: Corrective Instruction Generation Through Inverse Motion Editing", - "VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark", - "Spectral Editing of Activations for Large Language Model Alignment", - "Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration", - "Towards Editing Time Series", - "Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing", - "UltraEdit: Instruction-based Fine-Grained Image Editing at Scale", - "WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models", - "ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation", - "Provable Editing of Deep Neural Networks using Parametric Linear Relaxation", - "Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models", - "How Control Information Influences Multilingual Text Image Generation and Editing?", - "NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing", - "OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations", - "Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing", - "Aligning Large Language Models with Representation Editing: A Control Perspective", - "GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing", - "Learning Action and Reasoning-Centric Image Editing from Videos and Simulation", - "TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control", - "Zero-shot Image Editing with Reference Imitation", - "HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion", - "Reasons and Solutions for the Decline in Model Performance after Editing", - "ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get the titles of every paper on this page; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-a57ca8fc3d732dea37a6.html", - "input_sha256": "d78631c154a2f2d527a8ea96526b0a7ba2c2a06ec11c8507d73f0cba269c76c0", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "GFlowNet Assisted Biological Sequence Editing": 1, - "DisCEdit: Model Editing by Identifying Discriminative Components": 1, - "Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing": 1, - "Exploring Low-Dimensional Subspace in Diffusion Models for Controllable Image Editing": 1, - "Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps": 1, - "COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing": 1, - "I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing": 1, - "MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing": 1, - "ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping": 1, - "Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization": 1, - "D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup": 1, - "CigTime: Corrective Instruction Generation Through Inverse Motion Editing": 1, - "VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark": 1, - "Spectral Editing of Activations for Large Language Model Alignment": 1, - "Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration": 1, - "Towards Editing Time Series": 1, - "Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing": 1, - "UltraEdit: Instruction-based Fine-Grained Image Editing at Scale": 1, - "WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models": 1, - "ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation": 1, - "Provable Editing of Deep Neural Networks using Parametric Linear Relaxation": 1, - "Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models": 1, - "How Control Information Influences Multilingual Text Image Generation and Editing?": 1, - "NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing": 1, - "OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations": 1, - "Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing": 1, - "Aligning Large Language Models with Representation Editing: A Control Perspective": 1, - "GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing": 1, - "Learning Action and Reasoning-Centric Image Editing from Videos and Simulation": 1, - "TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control": 1, - "Zero-shot Image Editing with Reference Imitation": 1, - "HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion": 1, - "Reasons and Solutions for the Decline in Model Performance after Editing": 1, - "ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing": 1 - } - }, - "original_reference": { - "title": [ - "GFlowNet Assisted Biological Sequence Editing", - "DisCEdit: Model Editing by Identifying Discriminative Components", - "Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing", - "Exploring Low-Dimensional Subspace in Diffusion Models for Controllable Image Editing", - "Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps", - "COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing", - "I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing", - "MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing", - "ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping", - "Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization", - "D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup", - "CigTime: Corrective Instruction Generation Through Inverse Motion Editing", - "VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark", - "Spectral Editing of Activations for Large Language Model Alignment", - "Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration", - "Towards Editing Time Series", - "Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing", - "UltraEdit: Instruction-based Fine-Grained Image Editing at Scale", - "WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models", - "ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation", - "Provable Editing of Deep Neural Networks using Parametric Linear Relaxation", - "Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models", - "How Control Information Influences Multilingual Text Image Generation and Editing?", - "NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing", - "OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations", - "Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing", - "Aligning Large Language Models with Representation Editing: A Control Perspective", - "GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing", - "Learning Action and Reasoning-Centric Image Editing from Videos and Simulation", - "TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control", - "Zero-shot Image Editing with Reference Imitation", - "HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion", - "Reasons and Solutions for the Decline in Model Performance after Editing", - "ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "d78631c154a2f2d527a8ea96526b0a7ba2c2a06ec11c8507d73f0cba269c76c0", - "reference_sha256": "36c1f08cd011eb6b7602711f2ec13629e4a677040ec949d891e9b5d704219e6d", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:17Z", - "source_url": "https://neurips.cc/virtual/2024/papers.html?filter=title&search=editing" - }, - "query": "Get the titles of every paper on this page" - }, - { - "id": "liveweb-ie-5a7b69eabcffa003d509", - "url": "http://quotes.toscrape.com/page/1/", - "domain": "quotestoscrape", - "site": "quotestoscrape", - "values": { - "author": [ - "Albert Einstein", - "J.K. 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Edison", - "Eleanor Roosevelt", - "Steve Martin" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "efdc2605a2062dceb335ba421bd61d3a6795fb88bfa9873096ecd4a9406de1e3", - "reference_sha256": "3f9f3b3f83ca67eb2e299d53751fc19f34904bf47b6bf9834b3e9f73e0349baa", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:09Z", - "source_url": "http://quotes.toscrape.com/page/1/" - }, - "query": "Collect each author of the quotes" - }, - { - "id": "liveweb-ie-39e1b639e68c61eade51", - "url": "https://sandbox.oxylabs.io/products?page=67", - "domain": "sandboxoxlabio", - "site": "sandboxoxlabio", - "values": { - "title": [ - "Drox Operative", - "Galaga Legions", - "The Sims 2: FreeTime", - "They Bleed Pixels", - "Tumble", - "Partisans 1941", - "The Red Solstice", - "Bejeweled 2", - "Medal of Honor: Allied Assault - Spearhead", - "Master of Orion: Conquer the Stars", - "Sega Ages: G-LOC Air Battle", - "Overwhelm", - "Oriental Empires", - "Minecraft: Story Mode Season Two - Episode 2: Giant Consequences", - "Mirage: Arcane Warfare", - "Stories: The Path of Destinies", - "Fallout 4: Automatron", - "Mega Coin Squad", - "Dragon Age: Inquisition - Jaws Of Hakkon", - "NFL Fever 2004", - "Phantom Crash", - "Cossacks: The Art of War", - "Mario Party 3", - "Delta Force: Land Warrior", - "Kessen III", - "What Did I Do to Deserve This, My Lord!? 2", - "Pursuit Force: Extreme Justice", - "Namco Museum Battle Collection", - "Yggdra Union: We'll Never Fight Alone", - "Naruto: Ultimate Ninja 2", - "Ladykiller in a Bind", - "New International Track & Field" - ], - "price": [ - "71,99 €", - "79,99 €", - "77,99 €", - "74,99 €", - "75,99 €", - "69,99 €", - "58,99 €", - "63,99 €", - "37,99 €", - "73,99 €", - "60,99 €", - "64,99 €", - "88,99 €", - "81,99 €", - "83,99 €", - "82,99 €", - "80,99 €", - "68,99 €" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve every game title with its price; target attribute: title" - }, - "price": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve every game title with its price; target attribute: price" - } - }, - "required": [ - "title", - "price" - ] - }, - "input": "dataset/html/liveweb-ie-39e1b639e68c61eade51.html", - "input_sha256": "c3b56501035f2e84f05ec67486fbba35fee0c6e4fd222b5d1fa4ca2486bcf232", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Drox Operative": 1, - "Galaga Legions": 1, - "The Sims 2: FreeTime": 1, - "They Bleed Pixels": 1, - "Tumble": 1, - "Partisans 1941": 1, - "The Red Solstice": 1, - "Bejeweled 2": 1, - "Medal of Honor: Allied Assault - Spearhead": 1, - "Master of Orion: Conquer the Stars": 1, - "Sega Ages: G-LOC Air Battle": 1, - "Overwhelm": 1, - "Oriental Empires": 1, - "Minecraft: Story Mode Season Two - Episode 2: Giant Consequences": 1, - "Mirage: Arcane Warfare": 1, - "Stories: The Path of Destinies": 1, - "Fallout 4: Automatron": 1, - "Mega Coin Squad": 1, - "Dragon Age: Inquisition - Jaws Of Hakkon": 1, - "NFL Fever 2004": 1, - "Phantom Crash": 1, - "Cossacks: The Art of War": 1, - "Mario Party 3": 1, - "Delta Force: Land Warrior": 1, - "Kessen III": 1, - "What Did I Do to Deserve This, My Lord!? 2": 1, - "Pursuit Force: Extreme Justice": 1, - "Namco Museum Battle Collection": 1, - "Yggdra Union: We'll Never Fight Alone": 1, - "Naruto: Ultimate Ninja 2": 1, - "Ladykiller in a Bind": 1, - "New International Track & Field": 1 - }, - "price": { - "71,99 €": 2, - "79,99 €": 3, - "77,99 €": 2, - "74,99 €": 5, - "75,99 €": 3, - "69,99 €": 1, - "58,99 €": 2, - "63,99 €": 1, - "37,99 €": 1, - "73,99 €": 2, - "60,99 €": 1, - "64,99 €": 1, - "88,99 €": 1, - "81,99 €": 2, - "83,99 €": 1, - "82,99 €": 2, - "80,99 €": 1, - "68,99 €": 1 - } - }, - "original_reference": { - "title": [ - "Drox Operative", - "Galaga Legions", - "The Sims 2: FreeTime", - "They Bleed Pixels", - "Tumble", - "Partisans 1941", - "The Red Solstice", - "Bejeweled 2", - "Medal of Honor: Allied Assault - Spearhead", - "Master of Orion: Conquer the Stars", - "Sega Ages: G-LOC Air Battle", - "Overwhelm", - "Oriental Empires", - "Minecraft: Story Mode Season Two - Episode 2: Giant Consequences", - "Mirage: Arcane Warfare", - "Stories: The Path of Destinies", - "Fallout 4: Automatron", - "Mega Coin Squad", - "Dragon Age: Inquisition - Jaws Of Hakkon", - "NFL Fever 2004", - "Phantom Crash", - "Cossacks: The Art of War", - "Mario Party 3", - "Delta Force: Land Warrior", - "Kessen III", - "What Did I Do to Deserve This, My Lord!? 2", - "Pursuit Force: Extreme Justice", - "Namco Museum Battle Collection", - "Yggdra Union: We'll Never Fight Alone", - "Naruto: Ultimate Ninja 2", - "Ladykiller in a Bind", - "New International Track & Field" - ], - "price": [ - "71,99 €", - "79,99 €", - "77,99 €", - "74,99 €", - "74,99 €", - "75,99 €", - "74,99 €", - "69,99 €", - "75,99 €", - "71,99 €", - "74,99 €", - "58,99 €", - "79,99 €", - "63,99 €", - "37,99 €", - "73,99 €", - "60,99 €", - "64,99 €", - "58,99 €", - "88,99 €", - "81,99 €", - "83,99 €", - "82,99 €", - "75,99 €", - "81,99 €", - "80,99 €", - "73,99 €", - "77,99 €", - "82,99 €", - "79,99 €", - "74,99 €", - "68,99 €" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "c3b56501035f2e84f05ec67486fbba35fee0c6e4fd222b5d1fa4ca2486bcf232", - "reference_sha256": "fdac89e81445c170e5a02704f029fb7fec9f4bf42e3595fb364516178ec69592", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:05Z", - "source_url": "https://sandbox.oxylabs.io/products?page=67" - }, - "query": "Retrieve every game title with its price" - }, - { - "id": "liveweb-ie-87f2e6098e645f72ce25", - "url": "https://www.scrapethissite.com/pages/forms/?page_num=16", - "domain": "scrapethissite", - "site": "scrapethissite", - "values": { - "year": [ - "2005" - ] - }, - "schema": { - "type": "object", - "properties": { - "year": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Return the whole set of years; target attribute: year" - } - }, - "required": [ - "year" - ] - }, - "input": "dataset/html/liveweb-ie-87f2e6098e645f72ce25.html", - "input_sha256": "37364b26d6064d09899fa003ec88689fbf55def73fe4be7ef459357ec5af15ef", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "year": { - "2005": 25 - } - }, - "original_reference": { - "year": [ - "2005", - "2005", - "2005", - "2005", - "2005", - "2005", - "2005", - "2005", - "2005", - "2005", - "2005", - "2005", - "2005", - "2005", - "2005", - "2005", - "2005", - "2005", - "2005", - "2005", - "2005", - "2005", - "2005", - "2005", - "2005" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "37364b26d6064d09899fa003ec88689fbf55def73fe4be7ef459357ec5af15ef", - "reference_sha256": "fbee82bb37a8e5973a1dcd5ff260de1559a1f5385d1fa8630e3ed01e938c05e8", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:59Z", - "source_url": "https://www.scrapethissite.com/pages/forms/?page_num=16" - }, - "query": "Return the whole set of years" - }, - { - "id": "liveweb-ie-66146f8d62ab64e78880", - "url": "https://www.thecocktaildb.com/browse/letter/g", - "domain": "thecocktaildb", - "site": "thecocktaildb", - "values": { - "cocktail": [ - "Gagliardo", - "Garibaldi Negroni", - "Gentleman's Club", - "GG", - "Gideon's Green Dinosaur", - "Gimlet", - "Gin and Soda", - "Gin And Tonic", - "Gin Basil Smash", - "Gin Cooler", - "Gin Daisy", - "Gin Fizz", - "Gin Lemon", - "Gin Rickey", - "Gin Sling", - "Gin Smash", - "Gin Sour", - "Gin Squirt", - "Gin Swizzle", - "Gin Toddy", - "Gin Tonic", - "Girl From Ipanema", - "Gluehwein", - "Godchild", - "Godfather", - "Godmother", - "Golden dream", - "Grand Blue", - "Grape lemon pineapple Smoothie", - "Grass Skirt", - "Grasshopper", - "Green Goblin", - "Greyhound", - "Grim Reaper", - "Grizzly Bear" - ] - }, - "schema": { - "type": "object", - "properties": { - "cocktail": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Fetch the list of every drink's name; target attribute: cocktail" - } - }, - "required": [ - "cocktail" - ] - }, - "input": "dataset/html/liveweb-ie-66146f8d62ab64e78880.html", - "input_sha256": "28b0e8152d07d9f903cd418fd1cfad474fd772450942421143757f957d44ba86", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "cocktail": { - "Gagliardo": 1, - "Garibaldi Negroni": 1, - "Gentleman's Club": 1, - "GG": 1, - "Gideon's Green Dinosaur": 1, - "Gimlet": 1, - "Gin and Soda": 1, - "Gin And Tonic": 1, - "Gin Basil Smash": 1, - "Gin Cooler": 1, - "Gin Daisy": 1, - "Gin Fizz": 1, - "Gin Lemon": 1, - "Gin Rickey": 1, - "Gin Sling": 1, - "Gin Smash": 1, - "Gin Sour": 1, - "Gin Squirt": 1, - "Gin Swizzle": 1, - "Gin Toddy": 1, - "Gin Tonic": 1, - "Girl From Ipanema": 1, - "Gluehwein": 1, - "Godchild": 1, - "Godfather": 1, - "Godmother": 1, - "Golden dream": 1, - "Grand Blue": 1, - "Grape lemon pineapple Smoothie": 1, - "Grass Skirt": 1, - "Grasshopper": 1, - "Green Goblin": 1, - "Greyhound": 1, - "Grim Reaper": 1, - "Grizzly Bear": 1 - } - }, - "original_reference": { - "cocktail": [ - "Gagliardo", - "Garibaldi Negroni", - "Gentleman's Club", - "GG", - "Gideon's Green Dinosaur", - "Gimlet", - "Gin and Soda", - "Gin And Tonic", - "Gin Basil Smash", - "Gin Cooler", - "Gin Daisy", - "Gin Fizz", - "Gin Lemon", - "Gin Rickey", - "Gin Sling", - "Gin Smash", - "Gin Sour", - "Gin Squirt", - "Gin Swizzle", - "Gin Toddy", - "Gin Tonic", - "Girl From Ipanema", - "Gluehwein", - "Godchild", - "Godfather", - "Godmother", - "Golden dream", - "Grand Blue", - "Grape lemon pineapple Smoothie", - "Grass Skirt", - "Grasshopper", - "Green Goblin", - "Greyhound", - "Grim Reaper", - "Grizzly Bear" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "28b0e8152d07d9f903cd418fd1cfad474fd772450942421143757f957d44ba86", - "reference_sha256": "5ccdfb6adb4902e05cad6304446fe454df438b1f4f6d49c7e78ca3454eae1eed", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:55Z", - "source_url": "https://www.thecocktaildb.com/browse/letter/g" - }, - "query": "Fetch the list of every drink's name" - }, - { - "id": "liveweb-ie-fe0c83ec6ea15097e479", - "url": "https://www.themealdb.com/browse/letter/p", - "domain": "themealdb", - "site": "themealdb", - "values": { - "meal": [ - "Pad See Ew", - "Potato Gratin with Chicken", - "Poutine", - "Pilchard puttanesca", - "Pork Cassoulet", - "Pancakes", - "Pumpkin Pie", - "Peanut Butter Cheesecake", - "Peach & Blueberry Grunt", - "Parkin Cake", - "Pear Tarte Tatin", - "Provençal Omelette Cake", - "Prawn & Fennel Bisque", - "Pate Chinois", - "Pouding chomeur", - "Peanut Butter Cookies", - "Pizza Express Margherita", - "Paszteciki (Polish Pasties)", - "Pierogi (Polish Dumplings)", - "Polskie Nalesniki (Polish Pancakes)", - "Piri-piri chicken and slaw", - "Portuguese prego with green piri-piri", - "Portuguese barbecued pork (Febras assadas)", - "Portuguese fish stew (Caldeirada de peixe)", - "Portuguese custard tarts", - "Potato Salad (Olivier Salad)" - ] - }, - "schema": { - "type": "object", - "properties": { - "meal": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get a list of all food names; target attribute: meal" - } - }, - "required": [ - "meal" - ] - }, - "input": "dataset/html/liveweb-ie-fe0c83ec6ea15097e479.html", - "input_sha256": "87ee79caf37d10075f13057d4a4bb7b86478ff5417ce79a9212f5343ea35d1d9", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "meal": { - "Pad See Ew": 1, - "Potato Gratin with Chicken": 1, - "Poutine": 1, - "Pilchard puttanesca": 1, - "Pork Cassoulet": 1, - "Pancakes": 1, - "Pumpkin Pie": 1, - "Peanut Butter Cheesecake": 1, - "Peach & Blueberry Grunt": 1, - "Parkin Cake": 1, - "Pear Tarte Tatin": 1, - "Provençal Omelette Cake": 1, - "Prawn & Fennel Bisque": 1, - "Pate Chinois": 1, - "Pouding chomeur": 1, - "Peanut Butter Cookies": 1, - "Pizza Express Margherita": 1, - "Paszteciki (Polish Pasties)": 1, - "Pierogi (Polish Dumplings)": 1, - "Polskie Nalesniki (Polish Pancakes)": 1, - "Piri-piri chicken and slaw": 1, - "Portuguese prego with green piri-piri": 1, - "Portuguese barbecued pork (Febras assadas)": 1, - "Portuguese fish stew (Caldeirada de peixe)": 1, - "Portuguese custard tarts": 1, - "Potato Salad (Olivier Salad)": 1 - } - }, - "original_reference": { - "meal": [ - "Pad See Ew", - "Potato Gratin with Chicken", - "Poutine", - "Pilchard puttanesca", - "Pork Cassoulet", - "Pancakes", - "Pumpkin Pie", - "Peanut Butter Cheesecake", - "Peach & Blueberry Grunt", - "Parkin Cake", - "Pear Tarte Tatin", - "Provençal Omelette Cake", - "Prawn & Fennel Bisque", - "Pate Chinois", - "Pouding chomeur", - "Peanut Butter Cookies", - "Pizza Express Margherita", - "Paszteciki (Polish Pasties)", - "Pierogi (Polish Dumplings)", - "Polskie Nalesniki (Polish Pancakes)", - "Piri-piri chicken and slaw", - "Portuguese prego with green piri-piri", - "Portuguese barbecued pork (Febras assadas)", - "Portuguese fish stew (Caldeirada de peixe)", - "Portuguese custard tarts", - "Potato Salad (Olivier Salad)" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "87ee79caf37d10075f13057d4a4bb7b86478ff5417ce79a9212f5343ea35d1d9", - "reference_sha256": "72128bff78bfcb39c11d0530a167ef4eaaec7c8ff5dd5f63def75f93122c042a", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:51Z", - "source_url": "https://www.themealdb.com/browse/letter/p" - }, - "query": "Get a list of all food names" - }, - { - "id": "liveweb-ie-2f694f7fa5775c00f360", - "url": "https://www.thesportsdb.com/event/1543904-south-korea-vs-ghana", - "domain": "thesportsdb", - "site": "thesportsdb", - "values": { - "event_link": [ - "/event/1543904-south-korea-vs-ghana" - ], - "youtube_link": [ - "https://www.youtube.com/watch?v=pb4nQnRaQx8" - ] - }, - "schema": { - "type": "object", - "properties": { - "event_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Gather the link for the event name and the link to the youtube video.; target attribute: event_link" - }, - "youtube_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Gather the link for the event name and the link to the youtube video.; target attribute: youtube_link" - } - }, - "required": [ - "event_link", - "youtube_link" - ] - }, - "input": "dataset/html/liveweb-ie-2f694f7fa5775c00f360.html", - "input_sha256": "0b59f887a734db6a9551755b4bb492fa4777a2f9b7dd95ad4c8db0b82ea2f229", - "assets": [], - "value_kinds": { - "event_link": "url", - "youtube_link": "url" - }, - "source_value_counts": { - "event_link": { - "/event/1543904-south-korea-vs-ghana": 1 - }, - "youtube_link": { - "https://www.youtube.com/watch?v=pb4nQnRaQx8": 1 - } - }, - "original_reference": { - "event_link": [ - "/event/1543904-south-korea-vs-ghana" - ], - "youtube_link": [ - "https://www.youtube.com/watch?v=pb4nQnRaQx8" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "0b59f887a734db6a9551755b4bb492fa4777a2f9b7dd95ad4c8db0b82ea2f229", - "reference_sha256": "eeade60ab8023a3398ec74f212e7232b3fc77325816a512e13d841659998c420", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:48Z", - "source_url": "https://www.thesportsdb.com/event/1543904-south-korea-vs-ghana" - }, - "query": "Gather the link for the event name and the link to the youtube video." - }, - { - "id": "liveweb-ie-3e7d19a802c8383d62f3", - "url": "https://arxiv.org/abs/2401.16529", - "domain": "arxiv", - "site": "arxiv", - "values": { - "author": [ - "Yidi Wang", - "Cong Liu", - "Daniel Wong", - "Hyoseung Kim" - ], - "author_profile_link": [ - "https://arxiv.org/search/cs?searchtype=author&query=Wang,+Y", - "https://arxiv.org/search/cs?searchtype=author&query=Liu,+C", - "https://arxiv.org/search/cs?searchtype=author&query=Wong,+D", - "https://arxiv.org/search/cs?searchtype=author&query=Kim,+H" - ] - }, - "schema": { - "type": "object", - "properties": { - "author": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Please provide each author's name and the link to their detailed profile; target attribute: author" - }, - "author_profile_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Please provide each author's name and the link to their detailed profile; target attribute: author_profile_link" - } - }, - "required": [ - "author", - "author_profile_link" - ] - }, - "input": "dataset/html/liveweb-ie-3e7d19a802c8383d62f3.html", - "input_sha256": "f0ce608fd2f740155ff6ce77b8fdcd59def85ef54395bdab2ebac83139af4eb7", - "assets": [], - "value_kinds": { - "author_profile_link": "url" - }, - "source_value_counts": { - "author": { - "Yidi Wang": 1, - "Cong Liu": 1, - "Daniel Wong": 1, - "Hyoseung Kim": 1 - }, - "author_profile_link": { - "https://arxiv.org/search/cs?searchtype=author&query=Wang,+Y": 1, - "https://arxiv.org/search/cs?searchtype=author&query=Liu,+C": 1, - "https://arxiv.org/search/cs?searchtype=author&query=Wong,+D": 1, - "https://arxiv.org/search/cs?searchtype=author&query=Kim,+H": 1 - } - }, - "original_reference": { - "author": [ - "Yidi Wang", - "Cong Liu", - "Daniel Wong", - "Hyoseung Kim" - ], - "author_profile_link": [ - "https://arxiv.org/search/cs?searchtype=author&query=Wang,+Y", - "https://arxiv.org/search/cs?searchtype=author&query=Liu,+C", - "https://arxiv.org/search/cs?searchtype=author&query=Wong,+D", - "https://arxiv.org/search/cs?searchtype=author&query=Kim,+H" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "f0ce608fd2f740155ff6ce77b8fdcd59def85ef54395bdab2ebac83139af4eb7", - "reference_sha256": "c9430897e69d829352a68251088dc5aa3458955804a9658f84e4574aff2a23d1", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:06Z", - "source_url": "https://arxiv.org/abs/2401.16529" - }, - "query": "Please provide each author's name and the link to their detailed profile" - }, - { - "id": "liveweb-ie-ee9cceeb9fb4016ef948", - "url": "https://books.toscrape.com/catalogue/category/books/historical-fiction_4/index.html", - "domain": "booktoscrape", - "site": "booktoscrape", - "values": { - "count": [ - "26" - ] - }, - "schema": { - "type": "object", - "properties": { - "count": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Return the number of books; target attribute: count" - } - }, - "required": [ - "count" - ] - }, - "input": "dataset/html/liveweb-ie-ee9cceeb9fb4016ef948.html", - "input_sha256": "8c5f37afece8826792910cc612ac8b469e1ce0cf19d75acc851a937c7272ea38", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "count": { - "26": 1 - } - }, - "original_reference": { - "count": [ - "26" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "8c5f37afece8826792910cc612ac8b469e1ce0cf19d75acc851a937c7272ea38", - "reference_sha256": "b3e2317f88c77ac9227e62da469143d08fadf1cbd468625c82a207bcd1f79cac", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:15Z", - "source_url": "https://books.toscrape.com/catalogue/category/books/historical-fiction_4/index.html" - }, - "query": "Return the number of books" - }, - { - "id": "liveweb-ie-759977ed1d01e6feaec4", - "url": "https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2023&year2=2023&make=Porsche&baseModel=Macan&srchtyp=ymm&pageno=1&rowLimit=50", - "domain": "fueleconomy", - "site": "fueleconomy", - "values": { - "vehicle_link": [ - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45834", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45836", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45835", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45837" - ], - "driver_mpg": [ - "NA" - ] - }, - "schema": { - "type": "object", - "properties": { - "vehicle_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the detail links of all cars and all driver mpg from the same page.; target attribute: vehicle_link" - }, - "driver_mpg": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the detail links of all cars and all driver mpg from the same page.; target attribute: driver_mpg" - } - }, - "required": [ - "vehicle_link", - "driver_mpg" - ] - }, - "input": "dataset/html/liveweb-ie-759977ed1d01e6feaec4.html", - "input_sha256": "e9c1f7c3f58c90bd7f386afccfea45ebc922f33c7794f44990d91fbf505b58d7", - "assets": [], - "value_kinds": { - "vehicle_link": "url" - }, - "source_value_counts": { - "vehicle_link": { - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45834": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45836": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45835": 1, - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45837": 1 - }, - "driver_mpg": { - "NA": 4 - } - }, - "original_reference": { - "vehicle_link": [ - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45834", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45836", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45835", - "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=45837" - ], - "driver_mpg": [ - "NA", - "NA", - "NA", - "NA" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "e9c1f7c3f58c90bd7f386afccfea45ebc922f33c7794f44990d91fbf505b58d7", - "reference_sha256": "51da0e9d5d9d497dbc5ad1bc1bff456f4e8e51ebeccd7df668e3e6f6832ee400", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:43Z", - "source_url": "https://www.fueleconomy.gov/feg/PowerSearch.do?action=noform&path=1&year1=2023&year2=2023&make=Porsche&baseModel=Macan&srchtyp=ymm&pageno=1&rowLimit=50" - }, - "query": "Extract the detail links of all cars and all driver mpg from the same page." - }, - { - "id": "liveweb-ie-731e0aefd819d5575ccc", - "url": "https://huggingface.co/papers/2408.14468", - "domain": "huggingface", - "site": "huggingface", - "values": { - "title": [ - "K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models" - ], - "source_link": [ - "https://arxiv.org/abs/2408.14468" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the paper's title and its arxiv link.; target attribute: title" - }, - "source_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the paper's title and its arxiv link.; target attribute: source_link" - } - }, - "required": [ - "title", - "source_link" - ] - }, - "input": "dataset/html/liveweb-ie-731e0aefd819d5575ccc.html", - "input_sha256": "9e2c328ceac697b352e5e39803e14022eda3c7371454fe49ee1dd6d0131cb90d", - "assets": [], - "value_kinds": { - "source_link": "url" - }, - "source_value_counts": { - "title": { - "K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models": 1 - }, - "source_link": { - "https://arxiv.org/abs/2408.14468": 1 - } - }, - "original_reference": { - "title": [ - "K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models" - ], - "source_link": [ - "https://arxiv.org/abs/2408.14468" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "9e2c328ceac697b352e5e39803e14022eda3c7371454fe49ee1dd6d0131cb90d", - "reference_sha256": "e5bee8297d391cbbad7dab9f795f0b9aa6f9033883860073ce16fbaaae2daa43", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:38Z", - "source_url": "https://huggingface.co/papers/2408.14468" - }, - "query": "Retrieve the paper's title and its arxiv link." - }, - { - "id": "liveweb-ie-7a10e2f6dc5013e8b316", - "url": "https://iclr.cc/virtual/2025/poster/30784", - "domain": "iclr", - "site": "iclr", - "values": { - "title": [ - "HALL-E: Hierarchical Neural Codec Language Model for Minute-Long Zero-Shot Text-to-Speech Synthesis" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Retrieve the title of the research paper.; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-7a10e2f6dc5013e8b316.html", - "input_sha256": "c99cfd91c4708e9a5412e70392704daa033d7826e4b72e63df66398d9f8b2085", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "HALL-E: Hierarchical Neural Codec Language Model for Minute-Long Zero-Shot Text-to-Speech Synthesis": 1 - } - }, - "original_reference": { - "title": [ - "HALL-E: Hierarchical Neural Codec Language Model for Minute-Long Zero-Shot Text-to-Speech Synthesis" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "c99cfd91c4708e9a5412e70392704daa033d7826e4b72e63df66398d9f8b2085", - "reference_sha256": "63b8802653a79c142fb6f5e292f9ee5464e0d866780572c22c35e41cb024ba90", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:10Z", - "source_url": "https://iclr.cc/virtual/2025/poster/30784" - }, - "query": "Retrieve the title of the research paper." - }, - { - "id": "liveweb-ie-3743e588c29ca46588ed", - "url": "https://icml.cc/virtual/2025/poster/46207", - "domain": "icml", - "site": "icml", - "values": { - "title": [ - "TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Fetch the title of this paper.; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-3743e588c29ca46588ed.html", - "input_sha256": "51a58b4706a8534d60fd2bf6ea490ba1a10793fde087176fe495dec8ee8603a6", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision": 1 - } - }, - "original_reference": { - "title": [ - "TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "51a58b4706a8534d60fd2bf6ea490ba1a10793fde087176fe495dec8ee8603a6", - "reference_sha256": "02e2885ae76449be7e78ff4a94aee155b3c9b63423ddcc62ea7b03dbf9052459", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:24Z", - "source_url": "https://icml.cc/virtual/2025/poster/46207" - }, - "query": "Fetch the title of this paper." - }, - { - "id": "liveweb-ie-255be5e79cd2f927a528", - "url": "https://marinespecies.org/photogallery.php?album=2509", - "domain": "marinespecies", - "site": "marinespecies", - "values": { - "species_image": [ - "https://images.marinespecies.org/thumbs/162802_bonellia-viridis-fig-3.jpg?w=150", - "https://images.marinespecies.org/thumbs/162800_bonellia-viridis-fig-2.jpg?w=150", - "https://images.marinespecies.org/thumbs/117921_bonellia-viridis-original-plate-by-rolando-1822.jpg?w=150", - "https://images.marinespecies.org/thumbs/114295_echiurus-echiurus---whole-preserved-specimen.jpg?w=150", - "https://images.marinespecies.org/thumbs/113740_echiurus-echiurus-pallas-1766.jpg?w=150", - "https://images.marinespecies.org/thumbs/113274_echiurus-echiurus-pallas-1766.jpg?w=150", - "https://images.marinespecies.org/thumbs/113273_echiurus-echiurus-pallas-1766.jpg?w=150", - "https://images.marinespecies.org/thumbs/113272_echiurus-echiurus-pallas-1766.jpg?w=150", - "https://images.marinespecies.org/thumbs/113271_echiurus-echiurus-pallas-1766.jpg?w=150", - "https://images.marinespecies.org/thumbs/113270_echiurus-echiurus-pallas-1766.jpg?w=150", - "https://images.marinespecies.org/thumbs/113269_echiurus-echiurus-pallas-1766.jpg?w=150", - "https://images.marinespecies.org/thumbs/113268_echiurus-echiurus-pallas-1766.jpg?w=150", - "https://images.marinespecies.org/thumbs/113267_echiurus-echiurus-pallas-1766.jpg?w=150", - "https://images.marinespecies.org/thumbs/113266_echiurus-echiurus-pallas-1766.jpg?w=150", - "https://images.marinespecies.org/thumbs/107455_echiurus-echiurus-echiuran-worm-from-cod-stomach.jpg?w=150", - "https://images.marinespecies.org/thumbs/107454_echiuran-worm-contracted.jpg?w=150", - "https://images.marinespecies.org/thumbs/107453_hamingia-arctica-echiuran-worm.jpg?w=150", - "https://images.marinespecies.org/thumbs/107452_hamingia-arctica-from-cod-stomach.jpg?w=150", - "https://images.marinespecies.org/thumbs/106448_maxmuelleria-faex.jpg?w=150", - "https://images.marinespecies.org/thumbs/80788_arhynchite-pugettensis.jpg?w=150", - "https://images.marinespecies.org/thumbs/48564_bonellia-viridis.jpg?w=150", - "https://images.marinespecies.org/thumbs/48563_bonellia-viridis.jpg?h=200", - "https://images.marinespecies.org/thumbs/48562_bonellia-viridis.jpg?w=150", - "https://images.marinespecies.org/thumbs/48561_bonellia-viridis.jpg?w=150" - ] - }, - "schema": { - "type": "object", - "properties": { - "species_image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Please extract all photo urls.; target attribute: species_image" - } - }, - "required": [ - "species_image" - ] - }, - "input": "dataset/html/liveweb-ie-255be5e79cd2f927a528.html", - "input_sha256": "e9d902b34b7fbba351399b8d0d869928dfa818075258dc4c65a8a95b8d5169d4", - "assets": [], - "value_kinds": { - "species_image": "url" - }, - "source_value_counts": { - "species_image": { - "https://images.marinespecies.org/thumbs/162802_bonellia-viridis-fig-3.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/162800_bonellia-viridis-fig-2.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/117921_bonellia-viridis-original-plate-by-rolando-1822.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/114295_echiurus-echiurus---whole-preserved-specimen.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/113740_echiurus-echiurus-pallas-1766.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/113274_echiurus-echiurus-pallas-1766.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/113273_echiurus-echiurus-pallas-1766.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/113272_echiurus-echiurus-pallas-1766.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/113271_echiurus-echiurus-pallas-1766.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/113270_echiurus-echiurus-pallas-1766.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/113269_echiurus-echiurus-pallas-1766.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/113268_echiurus-echiurus-pallas-1766.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/113267_echiurus-echiurus-pallas-1766.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/113266_echiurus-echiurus-pallas-1766.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/107455_echiurus-echiurus-echiuran-worm-from-cod-stomach.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/107454_echiuran-worm-contracted.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/107453_hamingia-arctica-echiuran-worm.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/107452_hamingia-arctica-from-cod-stomach.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/106448_maxmuelleria-faex.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/80788_arhynchite-pugettensis.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/48564_bonellia-viridis.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/48563_bonellia-viridis.jpg?h=200": 1, - "https://images.marinespecies.org/thumbs/48562_bonellia-viridis.jpg?w=150": 1, - "https://images.marinespecies.org/thumbs/48561_bonellia-viridis.jpg?w=150": 1 - } - }, - "original_reference": { - "species_image": [ - "https://images.marinespecies.org/thumbs/162802_bonellia-viridis-fig-3.jpg?w=150", - "https://images.marinespecies.org/thumbs/162800_bonellia-viridis-fig-2.jpg?w=150", - "https://images.marinespecies.org/thumbs/117921_bonellia-viridis-original-plate-by-rolando-1822.jpg?w=150", - "https://images.marinespecies.org/thumbs/114295_echiurus-echiurus---whole-preserved-specimen.jpg?w=150", - "https://images.marinespecies.org/thumbs/113740_echiurus-echiurus-pallas-1766.jpg?w=150", - "https://images.marinespecies.org/thumbs/113274_echiurus-echiurus-pallas-1766.jpg?w=150", - "https://images.marinespecies.org/thumbs/113273_echiurus-echiurus-pallas-1766.jpg?w=150", - "https://images.marinespecies.org/thumbs/113272_echiurus-echiurus-pallas-1766.jpg?w=150", - "https://images.marinespecies.org/thumbs/113271_echiurus-echiurus-pallas-1766.jpg?w=150", - "https://images.marinespecies.org/thumbs/113270_echiurus-echiurus-pallas-1766.jpg?w=150", - "https://images.marinespecies.org/thumbs/113269_echiurus-echiurus-pallas-1766.jpg?w=150", - "https://images.marinespecies.org/thumbs/113268_echiurus-echiurus-pallas-1766.jpg?w=150", - "https://images.marinespecies.org/thumbs/113267_echiurus-echiurus-pallas-1766.jpg?w=150", - "https://images.marinespecies.org/thumbs/113266_echiurus-echiurus-pallas-1766.jpg?w=150", - "https://images.marinespecies.org/thumbs/107455_echiurus-echiurus-echiuran-worm-from-cod-stomach.jpg?w=150", - "https://images.marinespecies.org/thumbs/107454_echiuran-worm-contracted.jpg?w=150", - "https://images.marinespecies.org/thumbs/107453_hamingia-arctica-echiuran-worm.jpg?w=150", - "https://images.marinespecies.org/thumbs/107452_hamingia-arctica-from-cod-stomach.jpg?w=150", - "https://images.marinespecies.org/thumbs/106448_maxmuelleria-faex.jpg?w=150", - "https://images.marinespecies.org/thumbs/80788_arhynchite-pugettensis.jpg?w=150", - "https://images.marinespecies.org/thumbs/48564_bonellia-viridis.jpg?w=150", - "https://images.marinespecies.org/thumbs/48563_bonellia-viridis.jpg?h=200", - "https://images.marinespecies.org/thumbs/48562_bonellia-viridis.jpg?w=150", - "https://images.marinespecies.org/thumbs/48561_bonellia-viridis.jpg?w=150" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "e9d902b34b7fbba351399b8d0d869928dfa818075258dc4c65a8a95b8d5169d4", - "reference_sha256": "e143b6f9873ed23e8ca6035070d74f86a92883886b4738b41ec4edd4821d6dd3", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:33Z", - "source_url": "https://marinespecies.org/photogallery.php?album=2509" - }, - "query": "Please extract all photo urls." - }, - { - "id": "liveweb-ie-cc15f1f55dd2beb8495e", - "url": "https://neurips.cc/virtual/2024/poster/93667", - "domain": "neurips", - "site": "neurips", - "values": { - "title": [ - "Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get the paper's title; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-cc15f1f55dd2beb8495e.html", - "input_sha256": "39e311c9e7225f029cd4a99190f9167b01c35790862968f4c10a3c2602f7ffd7", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning": 1 - } - }, - "original_reference": { - "title": [ - "Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "39e311c9e7225f029cd4a99190f9167b01c35790862968f4c10a3c2602f7ffd7", - "reference_sha256": "6261f88a2cc2c21b28fa4e2712d545f7409c822fa08a41f8a704994858c01a50", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:17Z", - "source_url": "https://neurips.cc/virtual/2024/poster/93667" - }, - "query": "Get the paper's title" - }, - { - "id": "liveweb-ie-2b98e27bcff828ecf740", - "url": "http://quotes.toscrape.com/author/George-Bernard-Shaw", - "domain": "quotestoscrape", - "site": "quotestoscrape", - "values": { - "birth": [ - "July 26, 1856" - ] - }, - "schema": { - "type": "object", - "properties": { - "birth": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Collect the author's born details; target attribute: birth" - } - }, - "required": [ - "birth" - ] - }, - "input": "dataset/html/liveweb-ie-2b98e27bcff828ecf740.html", - "input_sha256": "1d984ae7ed5ec0025d02256929092ce93d28f0553a76c071c4159d25d14e0aa8", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "birth": { - "July 26, 1856": 1 - } - }, - "original_reference": { - "birth": [ - "July 26, 1856" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "1d984ae7ed5ec0025d02256929092ce93d28f0553a76c071c4159d25d14e0aa8", - "reference_sha256": "fee0d09c6a8172a7463569f79ec3a1ae192f76cb4589a5d3543566e841a2fa23", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:11Z", - "source_url": "http://quotes.toscrape.com/author/George-Bernard-Shaw" - }, - "query": "Collect the author's born details" - }, - { - "id": "liveweb-ie-a0a438bd8693c622ed24", - "url": "https://sandbox.oxylabs.io/products/762", - "domain": "sandboxoxlabio", - "site": "sandboxoxlabio", - "values": { - "title": [ - "Virtual Pool 3" - ], - "platform": [ - "Pc" - ], - "image": [ - "/assets/sports.svg" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get each title of the video game, retrieve the platform for the video game, extract the game platform of the video game, and find the cover image of the game.; target attribute: title" - }, - "platform": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get each title of the video game, retrieve the platform for the video game, extract the game platform of the video game, and find the cover image of the game.; target attribute: platform" - }, - "image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Get each title of the video game, retrieve the platform for the video game, extract the game platform of the video game, and find the cover image of the game.; target attribute: image" - } - }, - "required": [ - "title", - "platform", - "image" - ] - }, - "input": "dataset/html/liveweb-ie-a0a438bd8693c622ed24.html", - "input_sha256": "55452fcf08723d6f19e7d9f00e8007bcac98e66298c845aa6a4ebe862f195c6d", - "assets": [], - "value_kinds": { - "image": "url" - }, - "source_value_counts": { - "title": { - "Virtual Pool 3": 1 - }, - "platform": { - "Pc": 1 - }, - "image": { - "/assets/sports.svg": 1 - } - }, - "original_reference": { - "title": [ - "Virtual Pool 3" - ], - "platform": [ - "pc" - ], - "image": [ - "/assets/sports.svg" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "55452fcf08723d6f19e7d9f00e8007bcac98e66298c845aa6a4ebe862f195c6d", - "reference_sha256": "e8ed33d24beecfa63f37c318e428e267793f18e91eaaa3d65b4cab14a1c89118", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [ - { - "field": "platform", - "original": "pc", - "accepted": "Pc", - "source_sha256": "55452fcf08723d6f19e7d9f00e8007bcac98e66298c845aa6a4ebe862f195c6d", - "reason": "whitespace and source-supported HTML entity decoding only" - } - ], - "observed_at": "2026-11-06T10:08:05Z", - "source_url": "https://sandbox.oxylabs.io/products/762" - }, - "query": "Get each title of the video game, retrieve the platform for the video game, extract the game platform of the video game, and find the cover image of the game." - }, - { - "id": "liveweb-ie-de4ff4172cf2ebf6ece3", - "url": "https://www.scrapethissite.com/pages/forms/?page_num=11", - "domain": "scrapethissite", - "site": "scrapethissite", - "values": { - "team": [ - "Vancouver Canucks", - "Washington Capitals", - "Mighty Ducks of Anaheim", - "Atlanta Thrashers", - "Boston Bruins", - "Buffalo Sabres", - "Calgary Flames", - "Carolina Hurricanes", - "Columbus Blue Jackets", - "Chicago Blackhawks", - "Colorado Avalanche", - "Dallas Stars", - "Detroit Red Wings", - "Edmonton Oilers", - "Florida Panthers", - "Los Angeles Kings", - "Minnesota Wild", - "Montreal Canadiens", - "Nashville Predators", - "New Jersey Devils", - "New York Islanders", - "New York Rangers", - "Ottawa Senators", - "Philadelphia Flyers", - "Phoenix Coyotes" - ], - "wins": [ - "30", - "44", - "25", - "23", - "36", - "46", - "27", - "38", - "28", - "29", - "52", - "48", - "49", - "39", - "22", - "34", - "21", - "33", - "43", - "35" - ] - }, - "schema": { - "type": "object", - "properties": { - "team": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Can you list all hockey team names and their wins; target attribute: team" - }, - "wins": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Can you list all hockey team names and their wins; target attribute: wins" - } - }, - "required": [ - "team", - "wins" - ] - }, - "input": "dataset/html/liveweb-ie-de4ff4172cf2ebf6ece3.html", - "input_sha256": "d697d7bb484adef4519e76cf5da988407c7b136c4a3afa18c57b9c9ee3cd2129", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "team": { - "Vancouver Canucks": 1, - "Washington Capitals": 1, - "Mighty Ducks of Anaheim": 1, - "Atlanta Thrashers": 1, - "Boston Bruins": 1, - "Buffalo Sabres": 1, - "Calgary Flames": 1, - "Carolina Hurricanes": 1, - "Columbus Blue Jackets": 1, - "Chicago Blackhawks": 1, - "Colorado Avalanche": 1, - "Dallas Stars": 1, - "Detroit Red Wings": 1, - "Edmonton Oilers": 1, - "Florida Panthers": 1, - "Los Angeles Kings": 1, - "Minnesota Wild": 1, - "Montreal Canadiens": 1, - "Nashville Predators": 1, - "New Jersey Devils": 1, - "New York Islanders": 1, - "New York Rangers": 1, - "Ottawa Senators": 1, - "Philadelphia Flyers": 1, - "Phoenix Coyotes": 1 - }, - "wins": { - "30": 1, - "44": 1, - "25": 2, - "23": 1, - "36": 1, - "46": 1, - "27": 1, - "38": 2, - "28": 2, - "29": 1, - "52": 1, - "48": 3, - "49": 1, - "39": 1, - "22": 1, - "34": 1, - "21": 1, - "33": 1, - "43": 1, - "35": 1 - } - }, - "original_reference": { - "team": [ - "Vancouver Canucks", - "Washington Capitals", - "Mighty Ducks of Anaheim", - "Atlanta Thrashers", - "Boston Bruins", - "Buffalo Sabres", - "Calgary Flames", - "Carolina Hurricanes", - "Columbus Blue Jackets", - "Chicago Blackhawks", - "Colorado Avalanche", - "Dallas Stars", - "Detroit Red Wings", - "Edmonton Oilers", - "Florida Panthers", - "Los Angeles Kings", - "Minnesota Wild", - "Montreal Canadiens", - "Nashville Predators", - "New Jersey Devils", - "New York Islanders", - "New York Rangers", - "Ottawa Senators", - "Philadelphia Flyers", - "Phoenix Coyotes" - ], - "wins": [ - "30", - "44", - "25", - "23", - "36", - "46", - "27", - "38", - "28", - "29", - "52", - "48", - "49", - "39", - "22", - "38", - "25", - "28", - "34", - "48", - "21", - "33", - "48", - "43", - "35" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "d697d7bb484adef4519e76cf5da988407c7b136c4a3afa18c57b9c9ee3cd2129", - "reference_sha256": "3d64b5a62f9463ccec5b693ba5bc039a6a8d7cda90888375e6b45690c9b67dc9", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:59Z", - "source_url": "https://www.scrapethissite.com/pages/forms/?page_num=11" - }, - "query": "Can you list all hockey team names and their wins" - }, - { - "id": "liveweb-ie-8867a65f7508da1620f7", - "url": "https://www.thecocktaildb.com/drink/17252-greyhound", - "domain": "thecocktaildb", - "site": "thecocktaildb", - "values": { - "ingredient": [ - "1 1/2 oz Vodka", - "3 oz Grapefruit Juice" - ], - "ingredient_link": [ - "/ingredient/1-vodka", - "/ingredient/242-grapefruit-juice" - ], - "ingredient_image": [ - "../images/ingredients/vodka-medium.png", - "../images/ingredients/grapefruit juice-medium.png" - ] - }, - "schema": { - "type": "object", - "properties": { - "ingredient": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Gather the names of all ingredients along with their corresponding detail links and images for the beverage.; target attribute: ingredient" - }, - "ingredient_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Gather the names of all ingredients along with their corresponding detail links and images for the beverage.; target attribute: ingredient_link" - }, - "ingredient_image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Gather the names of all ingredients along with their corresponding detail links and images for the beverage.; target attribute: ingredient_image" - } - }, - "required": [ - "ingredient", - "ingredient_link", - "ingredient_image" - ] - }, - "input": "dataset/html/liveweb-ie-8867a65f7508da1620f7.html", - "input_sha256": "3d73d93c41491fca564bef08890e89861b463c56d715582d6b7352865f10584e", - "assets": [], - "value_kinds": { - "ingredient_link": "url", - "ingredient_image": "url" - }, - "source_value_counts": { - "ingredient": { - "1 1/2 oz Vodka": 1, - "3 oz Grapefruit Juice": 1 - }, - "ingredient_link": { - "/ingredient/1-vodka": 1, - "/ingredient/242-grapefruit-juice": 1 - }, - "ingredient_image": { - "../images/ingredients/vodka-medium.png": 1, - "../images/ingredients/grapefruit juice-medium.png": 1 - } - }, - "original_reference": { - "ingredient": [ - "1 1/2 oz Vodka", - "3 oz Grapefruit Juice" - ], - "ingredient_link": [ - "/ingredient/1-vodka", - "/ingredient/242-grapefruit-juice" - ], - "ingredient_image": [ - "../images/ingredients/vodka-medium.png", - "../images/ingredients/grapefruit juice-medium.png" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "3d73d93c41491fca564bef08890e89861b463c56d715582d6b7352865f10584e", - "reference_sha256": "2d7dbf645796dcc221952ff24b71335567224ff1687e966a96029cdb0242232f", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:55Z", - "source_url": "https://www.thecocktaildb.com/drink/17252-greyhound" - }, - "query": "Gather the names of all ingredients along with their corresponding detail links and images for the beverage." - }, - { - "id": "liveweb-ie-00ffaed355957bd620ba", - "url": "https://www.themealdb.com/meal/52833-salted-caramel-cheescake-recipe", - "domain": "themealdb", - "site": "themealdb", - "values": { - "ingredient": [ - "250g Digestive Biscuits", - "75g Pretzels", - "135g Butter", - "450g Cream Cheese", - "1tsp Vanilla Extract", - "100g Icing Sugar", - "150g Caramel", - "1tsp Sea Salt", - "300ml Double Cream", - "drizzle Caramel Sauce", - "Top Toffee Popcorn", - "Top Pretzels" - ], - "ingredient_image": [ - "../images/ingredients/Digestive_Biscuits-medium.png", - "../images/ingredients/Pretzels-medium.png", - "../images/ingredients/Butter-medium.png", - "../images/ingredients/Cream_Cheese-medium.png", - "../images/ingredients/Vanilla_Extract-medium.png", - "../images/ingredients/Icing_Sugar-medium.png", - "../images/ingredients/Caramel-medium.png", - "../images/ingredients/Sea_Salt-medium.png", - "../images/ingredients/Double_Cream-medium.png", - "../images/ingredients/Caramel_Sauce-medium.png", - "../images/ingredients/Toffee_Popcorn-medium.png" - ] - }, - "schema": { - "type": "object", - "properties": { - "ingredient": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Collect the whole list of ingredient names and their images; target attribute: ingredient" - }, - "ingredient_image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Collect the whole list of ingredient names and their images; target attribute: ingredient_image" - } - }, - "required": [ - "ingredient", - "ingredient_image" - ] - }, - "input": "dataset/html/liveweb-ie-00ffaed355957bd620ba.html", - "input_sha256": "b83384a2f4aeceb109219fc2ed1be6432e83b6dcc7e2ead79463d7d41b215e80", - "assets": [], - "value_kinds": { - "ingredient_image": "url" - }, - "source_value_counts": { - "ingredient": { - "250g Digestive Biscuits": 1, - "75g Pretzels": 1, - "135g Butter": 1, - "450g Cream Cheese": 1, - "1tsp Vanilla Extract": 1, - "100g Icing Sugar": 1, - "150g Caramel": 1, - "1tsp Sea Salt": 1, - "300ml Double Cream": 1, - "drizzle Caramel Sauce": 1, - "Top Toffee Popcorn": 1, - "Top Pretzels": 1 - }, - "ingredient_image": { - "../images/ingredients/Digestive_Biscuits-medium.png": 1, - "../images/ingredients/Pretzels-medium.png": 2, - "../images/ingredients/Butter-medium.png": 1, - "../images/ingredients/Cream_Cheese-medium.png": 1, - "../images/ingredients/Vanilla_Extract-medium.png": 1, - "../images/ingredients/Icing_Sugar-medium.png": 1, - "../images/ingredients/Caramel-medium.png": 1, - "../images/ingredients/Sea_Salt-medium.png": 1, - "../images/ingredients/Double_Cream-medium.png": 1, - "../images/ingredients/Caramel_Sauce-medium.png": 1, - "../images/ingredients/Toffee_Popcorn-medium.png": 1 - } - }, - "original_reference": { - "ingredient": [ - "250g Digestive Biscuits", - "75g Pretzels", - "135g Butter", - "450g Cream Cheese", - "1tsp Vanilla Extract", - "100g Icing Sugar", - "150g Caramel", - "1tsp Sea Salt", - "300ml Double Cream", - "drizzle Caramel Sauce", - "Top Toffee Popcorn", - "Top Pretzels" - ], - "ingredient_image": [ - "../images/ingredients/Digestive_Biscuits-medium.png", - "../images/ingredients/Pretzels-medium.png", - "../images/ingredients/Butter-medium.png", - "../images/ingredients/Cream_Cheese-medium.png", - "../images/ingredients/Vanilla_Extract-medium.png", - "../images/ingredients/Icing_Sugar-medium.png", - "../images/ingredients/Caramel-medium.png", - "../images/ingredients/Sea_Salt-medium.png", - "../images/ingredients/Double_Cream-medium.png", - "../images/ingredients/Caramel_Sauce-medium.png", - "../images/ingredients/Toffee_Popcorn-medium.png", - "../images/ingredients/Pretzels-medium.png" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "b83384a2f4aeceb109219fc2ed1be6432e83b6dcc7e2ead79463d7d41b215e80", - "reference_sha256": "dc63077541640cadb064896b0bbaddcb3e33b5ddfb959ad1c0d34ce8247b4b52", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [ - { - "field": "ingredient", - "original": "100g Icing Sugar", - "accepted": "100g Icing Sugar", - "source_sha256": "b83384a2f4aeceb109219fc2ed1be6432e83b6dcc7e2ead79463d7d41b215e80", - "reason": "whitespace and source-supported HTML entity decoding only" - }, - { - "field": "ingredient", - "original": "300ml Double Cream", - "accepted": "300ml Double Cream", - "source_sha256": "b83384a2f4aeceb109219fc2ed1be6432e83b6dcc7e2ead79463d7d41b215e80", - "reason": "whitespace and source-supported HTML entity decoding only" - } - ], - "observed_at": "2026-11-06T10:07:51Z", - "source_url": "https://www.themealdb.com/meal/52833-salted-caramel-cheescake-recipe" - }, - "query": "Collect the whole list of ingredient names and their images" - }, - { - "id": "liveweb-ie-01b06224e39c1179f25c", - "url": "https://www.thesportsdb.com/player/34146689-david-alaba", - "domain": "thesportsdb", - "site": "thesportsdb", - "values": { - "profile_link": [ - "/player/34146689-david-alaba" - ] - }, - "schema": { - "type": "object", - "properties": { - "profile_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Give me the link of the player detail; target attribute: profile_link" - } - }, - "required": [ - "profile_link" - ] - }, - "input": "dataset/html/liveweb-ie-01b06224e39c1179f25c.html", - "input_sha256": "834df74d93645cd5ea99180ad38e2aa76c5680e7eb835f7c776a61ecddd86e08", - "assets": [], - "value_kinds": { - "profile_link": "url" - }, - "source_value_counts": { - "profile_link": { - "/player/34146689-david-alaba": 1 - } - }, - "original_reference": { - "profile_link": [ - "/player/34146689-david-alaba" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "834df74d93645cd5ea99180ad38e2aa76c5680e7eb835f7c776a61ecddd86e08", - "reference_sha256": "e8b1ad580dc6c43553d00e9427508031ac3ad2e0295dc8f8dad093a7e7d48add", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:48Z", - "source_url": "https://www.thesportsdb.com/player/34146689-david-alaba" - }, - "query": "Give me the link of the player detail" - }, - { - "id": "liveweb-ie-9329ea63f1cce6e44537", - "url": "https://arxiv.org/abs/2401.14361", - "domain": "arxiv", - "site": "arxiv", - "values": { - "author_profile_link": [ - "https://arxiv.org/search/cs?searchtype=author&query=Xue,+L", - "https://arxiv.org/search/cs?searchtype=author&query=Fu,+Y", - "https://arxiv.org/search/cs?searchtype=author&query=Lu,+Z", - "https://arxiv.org/search/cs?searchtype=author&query=Mai,+L", - "https://arxiv.org/search/cs?searchtype=author&query=Marina,+M" - ] - }, - "schema": { - "type": "object", - "properties": { - "author_profile_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Fetch the set of URLs that point to detailed author information; target attribute: author_profile_link" - } - }, - "required": [ - "author_profile_link" - ] - }, - "input": "dataset/html/liveweb-ie-9329ea63f1cce6e44537.html", - "input_sha256": "4b11bfc669fa267e316322078f01393a0ec535675c8a6c9d9cd5b35bc1b47d48", - "assets": [], - "value_kinds": { - "author_profile_link": "url" - }, - "source_value_counts": { - "author_profile_link": { - "https://arxiv.org/search/cs?searchtype=author&query=Xue,+L": 1, - "https://arxiv.org/search/cs?searchtype=author&query=Fu,+Y": 1, - "https://arxiv.org/search/cs?searchtype=author&query=Lu,+Z": 1, - "https://arxiv.org/search/cs?searchtype=author&query=Mai,+L": 1, - "https://arxiv.org/search/cs?searchtype=author&query=Marina,+M": 1 - } - }, - "original_reference": { - "author_profile_link": [ - "https://arxiv.org/search/cs?searchtype=author&query=Xue,+L", - "https://arxiv.org/search/cs?searchtype=author&query=Fu,+Y", - "https://arxiv.org/search/cs?searchtype=author&query=Lu,+Z", - "https://arxiv.org/search/cs?searchtype=author&query=Mai,+L", - "https://arxiv.org/search/cs?searchtype=author&query=Marina,+M" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "4b11bfc669fa267e316322078f01393a0ec535675c8a6c9d9cd5b35bc1b47d48", - "reference_sha256": "42ec165c322bb42be391a334bd8180f9443b988aff6f5d25e15552ff3e144c3c", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:06Z", - "source_url": "https://arxiv.org/abs/2401.14361" - }, - "query": "Fetch the set of URLs that point to detailed author information" - }, - { - "id": "liveweb-ie-9de4d75a839d06f9f34e", - "url": "https://books.toscrape.com/catalogue/page-4.html", - "domain": "booktoscrape", - "site": "booktoscrape", - "values": { - "price": [ - "£38.16", - "£54.11", - "£42.96", - "£23.89", - "£16.77", - "£20.59", - "£37.13", - "£56.06", - "£58.11", - "£49.05", - "£40.76", - "£19.73", - "£32.24", - "£41.83", - "£39.58", - "£39.25", - "£25.02", - "£51.04", - "£19.83", - "£50.40" - ], - "book_image": [ - "../media/cache/f4/79/f479de5f305c2ac0512702cf7155bb74.jpg", - "../media/cache/dc/44/dc44f8e2aebac48ca8553814d9b021a8.jpg", - "../media/cache/d4/8d/d48d5122a15347e9fe2b15ad354d69bf.jpg", - "../media/cache/f8/6d/f86d08178e3788563ac17be5aefd29f0.jpg", - "../media/cache/95/64/95647d6a526bf54120b9445e124794e1.jpg", - "../media/cache/75/dc/75dce2f5949b407161f37f0af249b018.jpg", - "../media/cache/64/15/641570cd7e7aded53c7d33d78a9629f1.jpg", - "../media/cache/2e/23/2e236e23ad52aa74505f224f6552eda8.jpg", - "../media/cache/71/df/71df730cf38c232ee58a2e407135f055.jpg", - "../media/cache/ee/3e/ee3e219d23e73ba71c79b700f183aaed.jpg", - "../media/cache/70/fa/70fa6c0437d9c97dbeada6bd32bf9d2c.jpg", - "../media/cache/2d/4e/2d4e358712e6c9f1d3bdd78d1a16e5a8.jpg", - "../media/cache/96/db/96db61bb53930c560fb4c1c62b583816.jpg", - "../media/cache/f3/4f/f34ffb24cc21c9f9f52dad4fd8f3ac21.jpg", - "../media/cache/69/85/69852567cf97264a1442cbc882c84903.jpg", - "../media/cache/da/df/dadfac66a89774b46b10225362724c83.jpg", - "../media/cache/43/ae/43aee83ebb31e2122a7215e413770e5c.jpg", - "../media/cache/e1/ea/e1ea6cb36e62ae6dc7b805f68ab9a700.jpg", - "../media/cache/97/f8/97f8debeeaaece9603267653076e760f.jpg", - "../media/cache/f3/ef/f3efd43ae0fa85d9b325d5e8783e7af5.jpg" - ] - }, - "schema": { - "type": "object", - "properties": { - "price": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Fetch every book's pricing and their corresponding product images.; target attribute: price" - }, - "book_image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Fetch every book's pricing and their corresponding product images.; target attribute: book_image" - } - }, - "required": [ - "price", - "book_image" - ] - }, - "input": "dataset/html/liveweb-ie-9de4d75a839d06f9f34e.html", - "input_sha256": "2061aa106e22337d5a94a5316b912b963ee4f9a3237a8747e24c7631e5c09a27", - "assets": [], - "value_kinds": { - "book_image": "url" - }, - "source_value_counts": { - "price": { - "£38.16": 1, - "£54.11": 1, - "£42.96": 1, - "£23.89": 1, - "£16.77": 1, - "£20.59": 1, - "£37.13": 1, - "£56.06": 1, - "£58.11": 1, - "£49.05": 1, - "£40.76": 1, - "£19.73": 1, - "£32.24": 1, - "£41.83": 1, - "£39.58": 1, - "£39.25": 1, - "£25.02": 1, - "£51.04": 1, - "£19.83": 1, - "£50.40": 1 - }, - "book_image": { - "../media/cache/f4/79/f479de5f305c2ac0512702cf7155bb74.jpg": 1, - "../media/cache/dc/44/dc44f8e2aebac48ca8553814d9b021a8.jpg": 1, - "../media/cache/d4/8d/d48d5122a15347e9fe2b15ad354d69bf.jpg": 1, - "../media/cache/f8/6d/f86d08178e3788563ac17be5aefd29f0.jpg": 1, - "../media/cache/95/64/95647d6a526bf54120b9445e124794e1.jpg": 1, - "../media/cache/75/dc/75dce2f5949b407161f37f0af249b018.jpg": 1, - "../media/cache/64/15/641570cd7e7aded53c7d33d78a9629f1.jpg": 1, - "../media/cache/2e/23/2e236e23ad52aa74505f224f6552eda8.jpg": 1, - "../media/cache/71/df/71df730cf38c232ee58a2e407135f055.jpg": 1, - "../media/cache/ee/3e/ee3e219d23e73ba71c79b700f183aaed.jpg": 1, - "../media/cache/70/fa/70fa6c0437d9c97dbeada6bd32bf9d2c.jpg": 1, - "../media/cache/2d/4e/2d4e358712e6c9f1d3bdd78d1a16e5a8.jpg": 1, - "../media/cache/96/db/96db61bb53930c560fb4c1c62b583816.jpg": 1, - "../media/cache/f3/4f/f34ffb24cc21c9f9f52dad4fd8f3ac21.jpg": 1, - "../media/cache/69/85/69852567cf97264a1442cbc882c84903.jpg": 1, - "../media/cache/da/df/dadfac66a89774b46b10225362724c83.jpg": 1, - "../media/cache/43/ae/43aee83ebb31e2122a7215e413770e5c.jpg": 1, - "../media/cache/e1/ea/e1ea6cb36e62ae6dc7b805f68ab9a700.jpg": 1, - "../media/cache/97/f8/97f8debeeaaece9603267653076e760f.jpg": 1, - "../media/cache/f3/ef/f3efd43ae0fa85d9b325d5e8783e7af5.jpg": 1 - } - }, - "original_reference": { - "price": [ - "£38.16", - "£54.11", - "£42.96", - "£23.89", - "£16.77", - "£20.59", - "£37.13", - "£56.06", - "£58.11", - "£49.05", - "£40.76", - "£19.73", - "£32.24", - "£41.83", - "£39.58", - "£39.25", - "£25.02", - "£51.04", - "£19.83", - "£50.40" - ], - "book_image": [ - "../media/cache/f4/79/f479de5f305c2ac0512702cf7155bb74.jpg", - "../media/cache/dc/44/dc44f8e2aebac48ca8553814d9b021a8.jpg", - "../media/cache/d4/8d/d48d5122a15347e9fe2b15ad354d69bf.jpg", - "../media/cache/f8/6d/f86d08178e3788563ac17be5aefd29f0.jpg", - "../media/cache/95/64/95647d6a526bf54120b9445e124794e1.jpg", - "../media/cache/75/dc/75dce2f5949b407161f37f0af249b018.jpg", - "../media/cache/64/15/641570cd7e7aded53c7d33d78a9629f1.jpg", - "../media/cache/2e/23/2e236e23ad52aa74505f224f6552eda8.jpg", - "../media/cache/71/df/71df730cf38c232ee58a2e407135f055.jpg", - "../media/cache/ee/3e/ee3e219d23e73ba71c79b700f183aaed.jpg", - "../media/cache/70/fa/70fa6c0437d9c97dbeada6bd32bf9d2c.jpg", - "../media/cache/2d/4e/2d4e358712e6c9f1d3bdd78d1a16e5a8.jpg", - "../media/cache/96/db/96db61bb53930c560fb4c1c62b583816.jpg", - "../media/cache/f3/4f/f34ffb24cc21c9f9f52dad4fd8f3ac21.jpg", - "../media/cache/69/85/69852567cf97264a1442cbc882c84903.jpg", - "../media/cache/da/df/dadfac66a89774b46b10225362724c83.jpg", - "../media/cache/43/ae/43aee83ebb31e2122a7215e413770e5c.jpg", - "../media/cache/e1/ea/e1ea6cb36e62ae6dc7b805f68ab9a700.jpg", - "../media/cache/97/f8/97f8debeeaaece9603267653076e760f.jpg", - "../media/cache/f3/ef/f3efd43ae0fa85d9b325d5e8783e7af5.jpg" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "2061aa106e22337d5a94a5316b912b963ee4f9a3237a8747e24c7631e5c09a27", - "reference_sha256": "d346c1c9fa7d5f646250a3892d20ab7b55a8b0efb6da7973b1bf79cc5001d210", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:08:16Z", - "source_url": "https://books.toscrape.com/catalogue/page-4.html" - }, - "query": "Fetch every book's pricing and their corresponding product images." - }, - { - "id": "liveweb-ie-dc0974897f01af4e210b", - "url": "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47291", - "domain": "fueleconomy", - "site": "fueleconomy", - "values": { - "vehicle_image": [ - "https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera_Cabrio.jpg" - ], - "vehicle": [ - "2024 Porsche 911 Carrera Cabriolet" - ] - }, - "schema": { - "type": "object", - "properties": { - "vehicle_image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the car name and its image from the page.; target attribute: vehicle_image" - }, - "vehicle": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the car name and its image from the page.; target attribute: vehicle" - } - }, - "required": [ - "vehicle_image", - "vehicle" - ] - }, - "input": "dataset/html/liveweb-ie-dc0974897f01af4e210b.html", - "input_sha256": "f255e9a37d13d1ed6b5426ecab2aa1fe23a7cdd60911e118efd158390b529373", - "assets": [], - "value_kinds": { - "vehicle_image": "url" - }, - "source_value_counts": { - "vehicle_image": { - "https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera_Cabrio.jpg": 1 - }, - "vehicle": { - "2024 Porsche 911 Carrera Cabriolet": 1 - } - }, - "original_reference": { - "vehicle_image": [ - "https://www.fueleconomy.gov/feg/photos/2024_Porsche_911_Carrera_Cabrio.jpg" - ], - "vehicle": [ - "2024 Porsche 911 Carrera Cabriolet" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "f255e9a37d13d1ed6b5426ecab2aa1fe23a7cdd60911e118efd158390b529373", - "reference_sha256": "8f7423d34a63b9e5e2c255864de00a4c23e0260f0f4f4276870a856377491cb5", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:43Z", - "source_url": "https://www.fueleconomy.gov/feg/Find.do?action=sbs&id=47291" - }, - "query": "Extract the car name and its image from the page." - }, - { - "id": "liveweb-ie-74e38ac70566794dbcf3", - "url": "https://huggingface.co/papers/date/2024-07-16", - "domain": "huggingface", - "site": "huggingface", - "values": { - "publish_date": [ - "Jul 16" - ] - }, - "schema": { - "type": "object", - "properties": { - "publish_date": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the date when these papers were added; target attribute: publish_date" - } - }, - "required": [ - "publish_date" - ] - }, - "input": "dataset/html/liveweb-ie-74e38ac70566794dbcf3.html", - "input_sha256": "4139b8b90c13c7ee80027230fdbe397b65b0da00d8f631548358b1f9f8a64310", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "publish_date": { - "Jul 16": 1 - } - }, - "original_reference": { - "publish_date": [ - "Jul 16" - ] - }, - "unscored_fields": {}, - "qualification": { - "input_sha256": "4139b8b90c13c7ee80027230fdbe397b65b0da00d8f631548358b1f9f8a64310", - "reference_sha256": "fcf5132b8e1ee02ac64f861b7205b5ccb52a67a329998ee1cdcf3d3295977147", - "source_validation_sha256": "a90908a3dd0b0b83f2d774f492b1104a61931d1a5c1229efd4f784bd60419ebb", - "source_supported_corrections": [], - "observed_at": "2026-11-06T10:07:38Z", - "source_url": "https://huggingface.co/papers/date/2024-07-16" - }, - "query": "Extract the date when these papers were added" - }, - { - "id": "liveweb-ie-6f13d5ffc1c83576e59b", - "url": "https://dp.la/exhibitions/breadandroses", - "domain": "dp", - "site": "dp", - "query": "Extract the title of the article", - "values": { - "title": [ - "Bread and Roses Strike of 1912: Two Months in Lawrence, Massachusetts, that Changed Labor History" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the title of the article; target attribute: title" - } - }, - "required": [ - "title" - ] - }, - "input": "dataset/html/liveweb-ie-6f13d5ffc1c83576e59b.html", - "input_sha256": "e05e71f4f5e8a0601f3fe734a9956dfd968e5289bdcdafae5ea98f8a9f0fa7b6", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "title": { - "Bread and Roses Strike of 1912: Two Months in Lawrence, Massachusetts, that Changed Labor History": 1 - } - }, - "original_reference": { - "title": [ - "Bread and Roses Strike of 1912: Two Months in Lawrence, Massachusetts, that Changed Labor History" - ] - }, - "qualification": { - "input_sha256": "e05e71f4f5e8a0601f3fe734a9956dfd968e5289bdcdafae5ea98f8a9f0fa7b6", - "reference_sha256": "c9b5c01e87e03b265e072d6167aa00563a4dc7d8284b4a4e70e30b11c84c758c", - "observed_at": "2026-11-06T10:08:00Z", - "source_url": "https://dp.la/exhibitions/breadandroses" - } - }, - { - "id": "liveweb-ie-4b8879b89b1433a8fc81", - "url": "https://dp.la/browse-by-topic/photography", - "domain": "dp", - "site": "dp", - "query": "Please extract all sub topic titles", - "values": { - "topic": [ - "The Development of Photography", - "Portraiture", - "Documentary Photography", - "Landscapes, Wildlife, and the Built Environment", - "Art Photography", - "Photography in Science and Technology", - "Personal Cameras, Citizen Photographers" - ] - }, - "schema": { - "type": "object", - "properties": { - "topic": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Please extract all sub topic titles; target attribute: topic" - } - }, - "required": [ - "topic" - ] - }, - "input": "dataset/html/liveweb-ie-4b8879b89b1433a8fc81.html", - "input_sha256": "235fafc0554771b1903c12031ba6ef9fc05ad75013d90d398acadc9cbf86d474", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "topic": { - "The Development of Photography": 1, - "Portraiture": 1, - "Documentary Photography": 1, - "Landscapes, Wildlife, and the Built Environment": 1, - "Art Photography": 1, - "Photography in Science and Technology": 1, - "Personal Cameras, Citizen Photographers": 1 - } - }, - "original_reference": { - "topic": [ - "The Development of Photography", - "Portraiture", - "Documentary Photography", - "Landscapes, Wildlife, and the Built Environment", - "Art Photography", - "Photography in Science and Technology", - "Personal Cameras, Citizen Photographers" - ] - }, - "qualification": { - "input_sha256": "235fafc0554771b1903c12031ba6ef9fc05ad75013d90d398acadc9cbf86d474", - "reference_sha256": "4b901254adc78f7b3374cfce502849570210769e8691786f1193bf4f471ddd96", - "observed_at": "2026-11-06T10:08:00Z", - "source_url": "https://dp.la/browse-by-topic/photography" - } - }, - { - "id": "liveweb-ie-8a2f1477e1014331ef4f", - "url": "https://dp.la/exhibitions", - "domain": "dp", - "site": "dp", - "query": "List every article with its photo", - "values": { - "article_image": [ - "https://dp.la/api/exhibits/files/square_thumbnails/7ba358b497a987fd2f3254346c42564d.jpg", - "https://dp.la/api/exhibits/files/square_thumbnails/0e08aeb7622e5d0086704118bd9a91e2.jpg", - "https://dp.la/api/exhibits/files/square_thumbnails/e44b5eafe2c0c049d66d51a17ab52e5b.jpg", - "https://dp.la/api/exhibits/files/square_thumbnails/433bdc97197ee897bc8786f4c66a3a85.jpg", - "https://dp.la/api/exhibits/files/square_thumbnails/8f9d4ca625e80ec795a03a759bd2545a.jpg", - "https://dp.la/api/exhibits/files/square_thumbnails/ef1286a3d0703c67b7a434f60b475825.jpg", - "https://dp.la/api/exhibits/files/square_thumbnails/014cdae55e62947eea1046ef66633b39.jpg", - "https://dp.la/api/exhibits/files/square_thumbnails/ce8f64ac752518cfdc810885d532c963.jpg", - "https://dp.la/api/exhibits/files/square_thumbnails/45366ec8331e3a9dff7a18b6dc2bfbdc.jpg", - "https://dp.la/api/exhibits/files/square_thumbnails/78554069b4687d2e9b3c150176f55000.jpg", - "https://dp.la/api/exhibits/files/square_thumbnails/1961ca4bdc691d1888e26df61df2c6f2.jpg", - "https://dp.la/api/exhibits/files/square_thumbnails/5bee4c18562207c176c33de8656640a9.jpg", - "https://dp.la/api/exhibits/files/square_thumbnails/2e87950add37d380587f9788f6c6e8aa.jpg", - "https://dp.la/api/exhibits/files/square_thumbnails/3c8c20a40218a9f08e112294f0cbe0f7.jpg", - 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"type": "string" - }, - "description": "Which link in the article serves as the exhibition reference?; target attribute: exhibition_link" - } - }, - "required": [ - "exhibition_link" - ] - }, - "input": "dataset/html/liveweb-ie-aef0401e683846275614.html", - "input_sha256": "3a030c06a90337bad7cf04af39485beb376f904ed3c9e6ed5761f43e5db0d6f0", - "assets": [], - "value_kinds": { - "exhibition_link": "url" - }, - "source_value_counts": { - "exhibition_link": { - "/exhibitions/erie-canal/why-new-york": 1 - } - }, - "original_reference": { - "exhibition_link": [ - "/exhibitions/erie-canal/why-new-york" - ] - }, - "qualification": { - "input_sha256": "3a030c06a90337bad7cf04af39485beb376f904ed3c9e6ed5761f43e5db0d6f0", - "reference_sha256": "b8dec89bb6afdf8121778f68ee715de6c29cded9110b0441d6b61434673c591a", - "observed_at": "2026-11-06T10:08:01Z", - "source_url": "https://dp.la/exhibitions/erie-canal" - } - }, - { - "id": "liveweb-ie-86369ee81229c837586e", - "url": "https://dp.la/browse-by-topic/american-civil-war", - 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"collection": [ - "Cross-Cultural Colonial Conflicts" - ] - }, - "schema": { - "type": "object", - "properties": { - "collection": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Which title belongs to this collection?; target attribute: collection" - } - }, - "required": [ - "collection" - ] - }, - "input": "dataset/html/liveweb-ie-68efd9c30de6ba26d397.html", - "input_sha256": "57d355229a213eeb0d97ee887ef3394f08045495d3ecc8c933e39aca2cb493f5", - "assets": [], - "value_kinds": {}, - "source_value_counts": { - "collection": { - "Cross-Cultural Colonial Conflicts": 1 - } - }, - "original_reference": { - "collection": [ - "Cross-Cultural Colonial Conflicts" - ] - }, - "qualification": { - "input_sha256": "57d355229a213eeb0d97ee887ef3394f08045495d3ecc8c933e39aca2cb493f5", - "reference_sha256": "910d6ee06f04a806d78a2fc42bcebd1c6a057e3c4a995f5e4e0edec66f873f78", - "observed_at": "2026-11-06T10:08:02Z", - "source_url": "https://dp.la/primary-source-sets/cross-cultural-colonial-conflicts" - } - }, - { - "id": "liveweb-ie-4cb74b4667bb77f0b904", - "url": "https://dp.la/exhibitions/1918-influenza", - "domain": "dp", - "site": "dp", - "query": "Extract the title and exhibition link of the article", - "values": { - "title": [ - "America during the 1918 Influenza Pandemic" - ], - "exhibition_link": [ - "/exhibitions/1918-influenza/flu-strikes" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the title and exhibition link of the article; target attribute: title" - }, - "exhibition_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract the title and exhibition link of the article; target attribute: exhibition_link" - } - }, - "required": [ - "title", - "exhibition_link" - ] - }, - "input": "dataset/html/liveweb-ie-4cb74b4667bb77f0b904.html", - "input_sha256": "30b23c67b6c2d9b1f4d94aa23fa6fac6a04026542d7abc8fab2b35015e1f20f6", - "assets": [], - "value_kinds": { - "exhibition_link": "url" - }, - "source_value_counts": { - "title": { - "America during the 1918 Influenza Pandemic": 1 - }, - "exhibition_link": { - "/exhibitions/1918-influenza/flu-strikes": 1 - } - }, - "original_reference": { - "title": [ - "America during the 1918 Influenza Pandemic" - ], - "exhibition_link": [ - "/exhibitions/1918-influenza/flu-strikes" - ] - }, - "qualification": { - "input_sha256": "30b23c67b6c2d9b1f4d94aa23fa6fac6a04026542d7abc8fab2b35015e1f20f6", - "reference_sha256": "a5f5117a4adbd4a4b554350bf350c3485b0e78834e58aff2c1a215db15b1fbb9", - "observed_at": "2026-11-06T10:08:01Z", - "source_url": "https://dp.la/exhibitions/1918-influenza" - } - }, - { - "id": "liveweb-ie-bd04c8b23b2010c70b0b", - "url": "https://dp.la/browse-by-topic/immigration-since-1840", - "domain": "dp", - "site": "dp", - "query": "Please extract all sub topic titles and links", - "values": { - "topic": [ - "Coming to America", - "From East and West, 1840-1870", - "Through Ellis Island and Angel Island, 1870-1920", - 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"topic_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Please extract all sub topic titles and links; target attribute: topic_link" - } - }, - "required": [ - "topic", - "topic_link" - ] - }, - "input": "dataset/html/liveweb-ie-bd04c8b23b2010c70b0b.html", - "input_sha256": "274752237e9a51c9899554842a4cfcad7c52a2e5a88c58e6fa28d0d787b4d6dc", - "assets": [], - "value_kinds": { - "topic_link": "url" - }, - "source_value_counts": { - "topic": { - "Coming to America": 1, - "From East and West, 1840-1870": 1, - "Through Ellis Island and Angel Island, 1870-1920": 1, - "Becoming an American": 1, - "Discrimination and Reform": 1, - "Immigration Quotas, 1920-1939": 1, - "Laborers, Aliens, and Refugees, 1940-1965": 1, - "Immigration since 1965": 1 - }, - "topic_link": { - "/browse-by-topic/immigration-since-1840/coming-to-america": 1, - "/browse-by-topic/immigration-since-1840/from-east-and-west-1840-1870": 1, - "/browse-by-topic/immigration-since-1840/through-ellis-island-and-angel-island-1870-1920": 1, - "/browse-by-topic/immigration-since-1840/becoming-an-american": 1, - "/browse-by-topic/immigration-since-1840/discrimination-and-reform": 1, - "/browse-by-topic/immigration-since-1840/immigration-quotas-1920-1939": 1, - "/browse-by-topic/immigration-since-1840/laborers-aliens-refugees-1940-1965": 1, - "/browse-by-topic/immigration-since-1840/immigration-since-1965": 1 - } - }, - "original_reference": { - "topic": [ - "Coming to America", - "From East and West, 1840-1870", - "Through Ellis Island and Angel Island, 1870-1920", - "Becoming an American", - "Discrimination and Reform", - "Immigration Quotas, 1920-1939", - "Laborers, Aliens, and Refugees, 1940-1965", - "Immigration since 1965" - ], - "topic_link": [ - "/browse-by-topic/immigration-since-1840/coming-to-america", - "/browse-by-topic/immigration-since-1840/from-east-and-west-1840-1870", - "/browse-by-topic/immigration-since-1840/through-ellis-island-and-angel-island-1870-1920", - "/browse-by-topic/immigration-since-1840/becoming-an-american", - "/browse-by-topic/immigration-since-1840/discrimination-and-reform", - "/browse-by-topic/immigration-since-1840/immigration-quotas-1920-1939", - "/browse-by-topic/immigration-since-1840/laborers-aliens-refugees-1940-1965", - "/browse-by-topic/immigration-since-1840/immigration-since-1965" - ] - }, - "qualification": { - "input_sha256": "274752237e9a51c9899554842a4cfcad7c52a2e5a88c58e6fa28d0d787b4d6dc", - "reference_sha256": "a1103805349c5f805b1ea7aa6e3e03323b16d127cd1c9b6d04aba46ec1635265", - "observed_at": "2026-11-06T10:08:03Z", - "source_url": "https://dp.la/browse-by-topic/immigration-since-1840" - } - }, - { - "id": "liveweb-ie-17ba119993ac77ee97e3", - "url": "https://dp.la/primary-source-sets/the-panic-of-1837", - "domain": "dp", - "site": "dp", - "query": "Extract all source set images from the document", - "values": { - "source_image": [ - "https://d2jf00asb0fe6y.cloudfront.net/panic-1837_01_b164a728cb23c90c22d6e562b04d37d6_thumb.jpg", - "https://d2jf00asb0fe6y.cloudfront.net/panic-1837_02_352b22c62314cc50a42f1a42e40d9920_thumb.jpg", - 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}, - "schema": { - "type": "object", - "properties": { - "source_image": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Extract all source set images from the document; target attribute: source_image" - } - }, - "required": [ - "source_image" - ] - }, - "input": "dataset/html/liveweb-ie-17ba119993ac77ee97e3.html", - "input_sha256": "45a932a30ba1e7dd730a918ba0938f79cc6066deff02c72c077bceea77e61eb6", - "assets": [], - "value_kinds": { - "source_image": "url" - }, - "source_value_counts": { - "source_image": { - "https://d2jf00asb0fe6y.cloudfront.net/panic-1837_01_b164a728cb23c90c22d6e562b04d37d6_thumb.jpg": 1, - "https://d2jf00asb0fe6y.cloudfront.net/panic-1837_02_352b22c62314cc50a42f1a42e40d9920_thumb.jpg": 1, - "https://d2jf00asb0fe6y.cloudfront.net/panic-1837_03_a560e20356ccefb5a5d9e8a86fb32823_thumb.jpg": 1, - "https://d2jf00asb0fe6y.cloudfront.net/panic-1837_04_826167643834faa2cf931c4615552617_thumb.jpg": 1, - "https://d2jf00asb0fe6y.cloudfront.net/panic-1837_05_a3572421fd7561cc0d242d17b6e4ec30_thumb.jpg": 1, - 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"reference_sha256": "d8ecc44f345f8060fa4c29034f57474f42a5c0469337e6a6b8e2861e8ebbaa24", - "observed_at": "2026-11-06T10:08:02Z", - "source_url": "https://dp.la/primary-source-sets/the-panic-of-1837" - } - }, - { - "id": "liveweb-ie-715e4b997d99bb3680da", - "url": "https://dp.la/exhibitions/leo-frank", - "domain": "dp", - "site": "dp", - "query": "Obtain the article's title and the corresponding exhibition link.", - "values": { - "title": [ - "Tragedy in the New South: The Murder of Mary Phagan and the Lynching of Leo Frank" - ], - "exhibition_link": [ - "/exhibitions/leo-frank/setting-atlanta-in-1913" - ] - }, - "schema": { - "type": "object", - "properties": { - "title": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Obtain the article's title and the corresponding exhibition link.; target attribute: title" - }, - "exhibition_link": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Obtain the article's title and the corresponding exhibition link.; target attribute: exhibition_link" - } - }, - "required": [ - "title", - "exhibition_link" - ] - }, - "input": "dataset/html/liveweb-ie-715e4b997d99bb3680da.html", - "input_sha256": "cee64e5ab02b77d45523cbf8651c0db8dc734e0a91d820f074f54bc7f040b73f", - "assets": [], - "value_kinds": { - "exhibition_link": "url" - }, - "source_value_counts": { - "title": { - "Tragedy in the New South: The Murder of Mary Phagan and the Lynching of Leo Frank": 1 - }, - "exhibition_link": { - "/exhibitions/leo-frank/setting-atlanta-in-1913": 1 - } - }, - "original_reference": { - "title": [ - "Tragedy in the New South: The Murder of Mary Phagan and the Lynching of Leo Frank" - ], - "exhibition_link": [ - "/exhibitions/leo-frank/setting-atlanta-in-1913" - ] - }, - "qualification": { - "input_sha256": "cee64e5ab02b77d45523cbf8651c0db8dc734e0a91d820f074f54bc7f040b73f", - "reference_sha256": "97a3f0848501c14faba8d0b610e56af2ae4fc53448b5f47b2b7f572872dd7e2a", - "observed_at": "2026-11-06T10:08:02Z", - "source_url": "https://dp.la/exhibitions/leo-frank" - } - } - ], - "extraction_instructions": "Follow the extraction question in each field description. 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