repo_type string | repo_id string | name string | repo_key string | observed_at string | url string | author string | created_at string | last_modified string | sha string | description string | tags list | license string | pipeline_tag string | library_name string | sdk string | downloads int64 | likes int64 | gated string | private bool | base_models list | base_model_relation string | datasets list | models list | new_version list | payload_json string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
dataset | 0x22almostEvil/fanfics-10 | null | dataset:0x22almostEvil/fanfics-10 | 2026-09-26T21:58:08.047774+00:00 | https://huggingface.co/datasets/0x22almostEvil/fanfics-10 | 0x22almostEvil | 2023-07-11T15:44:20.000Z | 2023-07-11T15:44:53.000Z | 5299c7da6120e09dbd5b10507d7144dec13d47c2 | null | [
"license:other",
"region:us"
] | other | null | null | null | 4 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"64ad78d45d48838462f081f4","author":"0x22almostEvil","cardData":{"license":"other"},"createdAt":"2023-07-11T15:44:20.000Z","downloads":4,"gated":false,"id":"0x22almostEvil/fanfics-10","lastModified":"2023-07-11T15:44:53.000Z","likes":0,"private":false,"sha":"5299c7da6120e09dbd5b10507d7144dec13d47c2","tags":["lic... |
dataset | 0x22almostEvil/reasoning-gsm-qna-oa | null | dataset:0x22almostEvil/reasoning-gsm-qna-oa | 2026-09-26T21:58:05.487028+00:00 | https://huggingface.co/datasets/0x22almostEvil/reasoning-gsm-qna-oa | 0x22almostEvil | 2023-05-13T15:09:16.000Z | 2023-05-13T15:43:31.000Z | bf39c5f8a56b8bda43d883e73224ad74a7a9be30 | Dataset Card for GSM QnA reasoning with ~8.8K entries.
Dataset Summary
Contains Parquet of a list of instructions and answers.
Each row consists of
INSTRUCTION
RESPONSE
SOURCE
METADATA (json with language).
Original Datasets are available here:
https://huggingface.co/datasets/gsm8k
h... | [
"QnA",
"format:parquet",
"language:en",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:mit",
"math",
"modality:text",
"programming",
"region:us",
"size_categories:1K<n<10K",
"task_categories:question-answering"
] | mit | null | null | null | 84 | 8 | false | false | [] | base_model | [] | [] | [] | {"_id":"645fa81c98464f9fcb0011d2","author":"0x22almostEvil","cardData":{"language":["en"],"license":"mit","size_categories":["1K<n<10K"],"tags":["QnA","math","programming"],"task_categories":["question-answering"]},"createdAt":"2023-05-13T15:09:16.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tDataset Card for GSM QnA re... |
dataset | 0x22almostEvil/reasoning_bg_oa | null | dataset:0x22almostEvil/reasoning_bg_oa | 2026-09-26T21:58:05.487028+00:00 | https://huggingface.co/datasets/0x22almostEvil/reasoning_bg_oa | 0x22almostEvil | 2023-05-12T18:04:40.000Z | 2023-05-13T15:42:11.000Z | 2fab856d27642ec6287b4162b11aa576b23ef0c2 | Dataset Card for Bulgarian QnA reasoning with ~2.7K entries.
Dataset Summary
Contains Parquet of a list of instructions and answers.
Each row consists of
INSTRUCTION
RESPONSE
SOURCE (reasoning_bg)
METADATA (json with language, url, id).
Original Dataset is available here:
https://hug... | [
"QnA",
"format:parquet",
"language:bg",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
"modality:text",
"reasoning",
"region:us",
"size_categories:1K<n<10K",
"task_categories:question-answering"
] | apache-2.0 | null | null | null | 37 | 2 | false | false | [] | base_model | [] | [] | [] | {"_id":"645e7fb86d343f4bb6132ff3","author":"0x22almostEvil","cardData":{"language":["bg"],"license":"apache-2.0","size_categories":["1K<n<10K"],"tags":["QnA","reasoning"],"task_categories":["question-answering"]},"createdAt":"2023-05-12T18:04:40.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tDataset Card for Bulgarian Qn... |
dataset | 0x22almostEvil/ru-riddles-377 | null | dataset:0x22almostEvil/ru-riddles-377 | 2026-09-26T21:58:05.225978+00:00 | https://huggingface.co/datasets/0x22almostEvil/ru-riddles-377 | 0x22almostEvil | 2023-05-07T10:35:38.000Z | 2023-05-07T13:24:30.000Z | 35279f1f460abb117356e126fb676bf6f80d1589 | Dataset Card for Russian riddles with answers with 377 entries.
Dataset Summary
Contains parquet of QnA with riddle & answer pairs.
Each row consists of
INSTRUCTION
RESPONSE
SOURCE
METADATA (json with language).
Licensing Information
Data is scrapped from several sites. Since most of ... | [
"QnA",
"Riddles",
"format:parquet",
"language:ru",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
"modality:text",
"region:us",
"size_categories:n<1K",
"task_categories:question-answering"
] | apache-2.0 | null | null | null | 55 | 5 | false | false | [] | base_model | [] | [] | [] | {"_id":"64577efa455367592763a0e9","author":"0x22almostEvil","cardData":{"language":["ru"],"license":"apache-2.0","size_categories":["n<1K"],"tags":["QnA","Riddles"],"task_categories":["question-answering"]},"createdAt":"2023-05-07T10:35:38.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tDataset Card for Russian riddles wi... |
dataset | 0x22almostEvil/russe-semantics-sim | null | dataset:0x22almostEvil/russe-semantics-sim | 2026-09-26T21:58:05.487028+00:00 | https://huggingface.co/datasets/0x22almostEvil/russe-semantics-sim | 0x22almostEvil | 2023-05-14T13:45:30.000Z | 2023-05-17T15:43:59.000Z | ef26e062490ad7fcf59095de423acb4d111bd325 | Dataset Card for russe-semantics-sim with ~200K entries. Russian language.
Dataset Summary
License: MIT. Contains CSV of a list of word1, word2, their connection score (are they synonymous or associations), type of connection.
Original Datasets are available here:
https://github.com/nl... | [
"format:csv",
"language:ru",
"library:dask",
"library:datasets",
"library:mlcroissant",
"library:polars",
"license:mit",
"modality:text",
"region:us",
"semantics",
"size_categories:100K<n<1M",
"task_categories:text-classification"
] | mit | null | null | null | 16 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6460e5faa3081fffa05acf7b","author":"0x22almostEvil","cardData":{"language":["ru"],"license":"mit","size_categories":["100K<n<1M"],"tags":["semantics"],"task_categories":["text-classification"]},"createdAt":"2023-05-14T13:45:30.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tDataset Card for russe-semantics-sim wit... |
dataset | 0x22almostEvil/tatoeba-mt-all-in-one | null | dataset:0x22almostEvil/tatoeba-mt-all-in-one | 2026-09-26T21:58:05.225978+00:00 | https://huggingface.co/datasets/0x22almostEvil/tatoeba-mt-all-in-one | 0x22almostEvil | 2023-05-07T17:28:20.000Z | 2023-05-07T23:54:17.000Z | d506620111874665035140a5a561460bde1daa58 | Dataset Card for The Tatoeba Translation Challenge | All In One
~7.3M entries.
Just more user-friendly version that combines all of the entries of original dataset in a single file:
https://huggingface.co/datasets/Helsinki-NLP/tatoeba_mt | [
"annotations_creators:Helsinki-NLP",
"format:csv",
"language:af",
"language:ar",
"language:az",
"language:be",
"language:bg",
"language:bn",
"language:br",
"language:bs",
"language:ca",
"language:ch",
"language:cs",
"language:cv",
"language:cy",
"language:da",
"language:de",
"langu... | null | null | null | null | 65 | 0 | false | false | [] | base_model | [
"Helsinki-NLP/tatoeba_mt"
] | [] | [] | {"_id":"6457dfb45fc3b8a21ea2bc2e","author":"0x22almostEvil","cardData":{"annotations_creators":["Helsinki-NLP"],"datasets":["Helsinki-NLP/tatoeba_mt"],"language":["af","ar","az","be","bg","bn","br","bs","ca","ch","cs","cv","cy","da","de","el","en","eo","es","et","eu","fa","fi","fo","fr","fy","ga","gd","gl","gn","he","h... |
dataset | 0x22almostEvil/tatoeba-mt-llama-only | null | dataset:0x22almostEvil/tatoeba-mt-llama-only | 2026-09-26T21:58:05.225978+00:00 | https://huggingface.co/datasets/0x22almostEvil/tatoeba-mt-llama-only | 0x22almostEvil | 2023-05-08T15:42:22.000Z | 2023-05-10T09:14:37.000Z | 405c14fdfa77a10a598b24d43d4e20d92e43cab9 | Dataset Card for multilingual tatoeba translations with ~3M entries (llama supported languages only).
Dataset Summary
~3M entries. Just more user-friendly version that combines all of the entries of original dataset in a single file (llama supported languages only):
https://huggingface.co/datasets/Hel... | [
"Translation",
"format:csv",
"language:bg",
"language:ca",
"language:cs",
"language:da",
"language:de",
"language:en",
"language:es",
"language:fr",
"language:hr",
"language:hu",
"language:it",
"language:nl",
"language:pl",
"language:pt",
"language:ro",
"language:ru",
"language:s... | cc-by-2.0 | null | null | null | 19 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6459185e232e5f0712b58d39","author":"0x22almostEvil","cardData":{"language":["en","ru","de","uk","sv","sr","sl","ro","pt","pl","nl","it","hu","hr","fr","es","da","cs","ca","bg"],"license":"cc-by-2.0","pretty_name":"tatoeba-mt-llama-only","size_categories":["1M<n<10M"],"tags":["tatoeba","Translation"],"task_categ... |
dataset | 0x22almostEvil/tatoeba-mt-qna-oa | null | dataset:0x22almostEvil/tatoeba-mt-qna-oa | 2026-09-26T21:58:05.225978+00:00 | https://huggingface.co/datasets/0x22almostEvil/tatoeba-mt-qna-oa | 0x22almostEvil | 2023-05-07T13:02:53.000Z | 2023-05-12T16:09:07.000Z | 0834a55f54e6aee2be5a5bc8cc381133131ce7b9 | Dataset Card for multilingual tatoeba QnA translation with ~120K entries.
Dataset Summary
Contains Parquet of a list of instructions and translation articles on different languages.
Each row consists of
INSTRUCTION
RESPONSE
SOURCE (tatoeba)
METADATA (json with language, text length, uuid, langs-pair)... | [
"QnA",
"Translation",
"format:parquet",
"language:bg",
"language:ca",
"language:cs",
"language:da",
"language:de",
"language:en",
"language:es",
"language:fr",
"language:hr",
"language:hu",
"language:it",
"language:nl",
"language:pl",
"language:pt",
"language:ro",
"language:ru",
... | cc-by-2.0 | null | null | null | 148 | 2 | false | false | [] | base_model | [] | [] | [] | {"_id":"6457a17d455367592765b186","author":"0x22almostEvil","cardData":{"language":["en","ru","de","uk","sv","sr","sl","ro","pt","pl","nl","it","hu","hr","fr","es","da","cs","ca","bg"],"license":"cc-by-2.0","pretty_name":"tatoeba-mt-qna-oa-120k","size_categories":["100K<n<1M"],"tags":["QnA","tatoeba","Translation"],"ta... |
dataset | 0x22almostEvil/words-operations-rewards-5k | null | dataset:0x22almostEvil/words-operations-rewards-5k | 2026-09-26T21:58:08.047774+00:00 | https://huggingface.co/datasets/0x22almostEvil/words-operations-rewards-5k | 0x22almostEvil | 2023-07-11T20:55:14.000Z | 2023-07-11T21:15:27.000Z | b2734c6567240bf7de769e5a4a3b06e2f6452ad8 | Dataset Card for words-operations-rewards-5k with 5K entries.
Dataset Summary
License: Apache-2.0. Contains JSONL. Use this for Reward Models.
Solved tasks:
Count Letters;
Write Backwards;
Write Character on a Position;
Repeat Word;
Write In Case;
Change Case on a Position;
Write Numbe... | [
"format:json",
"language:en",
"language:ru",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
"modality:text",
"region:us",
"semantics",
"size_categories:1K<n<10K",
"task_categories:question-answering",
"task_categories:text-classificatio... | apache-2.0 | null | null | null | 12 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"64adc1b2616d3eb3615d9985","author":"0x22almostEvil","cardData":{"language":["en","ru"],"license":"apache-2.0","size_categories":["1K<n<10K"],"tags":["semantics"],"task_categories":["text-classification","token-classification","question-answering"]},"createdAt":"2023-07-11T20:55:14.000Z","description":"\n\t\n\t\... |
dataset | 0x22almostEvil/ws-semantics-simnrel | null | dataset:0x22almostEvil/ws-semantics-simnrel | 2026-09-26T21:58:05.487028+00:00 | https://huggingface.co/datasets/0x22almostEvil/ws-semantics-simnrel | 0x22almostEvil | 2023-05-17T15:38:22.000Z | 2023-05-20T09:35:49.000Z | 52d0032225bfe6d3ea61f64da9d065d6d8466125 | Dataset Card for WS353-semantics-sim-and-rel with ~2K entries.
Dataset Summary
License: Apache-2.0. Contains CSV of a list of word1, word2, their connection score, type of connection and language.
Original Datasets are available here:
https://leviants.com/multilingual-simlex999-and-wo... | [
"arxiv:1508.00106",
"format:csv",
"language:de",
"language:en",
"language:it",
"language:ru",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
"modality:text",
"region:us",
"semantics",
"size_categories:1K<n<10K",
"task_categories:tex... | apache-2.0 | null | null | null | 21 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6464f4ee6ceebdc7fd8a3b32","author":"0x22almostEvil","cardData":{"language":["en","ru","de","it"],"license":"apache-2.0","size_categories":["1K<n<10K"],"tags":["semantics"],"task_categories":["text-classification"]},"createdAt":"2023-05-17T15:38:22.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tDataset Card for WS... |
dataset | 0x2bear/sosol-sisil | null | dataset:0x2bear/sosol-sisil | 2026-09-26T22:03:46.917711+00:00 | https://huggingface.co/datasets/0x2bear/sosol-sisil | 0x2bear | 2025-12-10T14:43:44.000Z | 2025-12-10T14:44:22.000Z | ae732ecf1d2abfc78b5d8b435b2d6721aa9a8312 | null | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"693987202728164c88f2b613","author":"0x2bear","createdAt":"2025-12-10T14:43:44.000Z","downloads":2,"gated":false,"id":"0x2bear/sosol-sisil","lastModified":"2025-12-10T14:44:22.000Z","likes":0,"private":false,"sha":"ae732ecf1d2abfc78b5d8b435b2d6721aa9a8312","tags":["size_categories:n<1K","format:json","modality:t... |
dataset | 0x2bear/testnetflowid-dataset1 | null | dataset:0x2bear/testnetflowid-dataset1 | 2026-09-26T22:03:46.917711+00:00 | https://huggingface.co/datasets/0x2bear/testnetflowid-dataset1 | 0x2bear | 2025-12-10T14:23:52.000Z | 2025-12-10T14:25:51.000Z | 91dba2e49e3b6ce9e885c9ab09c5e532f8d615e6 | Sample Dataset
Simple dataset created for community contribution. | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"693982784b698739cde829e1","author":"0x2bear","createdAt":"2025-12-10T14:23:52.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tSample Dataset\n\t\n\nSimple dataset created for community contribution.\n","downloads":2,"gated":false,"id":"0x2bear/testnetflowid-dataset1","lastModified":"2025-12-10T14:25:51.000Z","like... |
dataset | 0x2bear/testnetflowid-sample-dataset | null | dataset:0x2bear/testnetflowid-sample-dataset | 2026-09-26T22:03:46.917711+00:00 | https://huggingface.co/datasets/0x2bear/testnetflowid-sample-dataset | 0x2bear | 2025-12-10T14:16:58.000Z | 2025-12-10T14:20:29.000Z | 09ddda11658daec2ce5b5b3c0f7c9e2fa1367932 | Sample Dataset
A small example dataset for demo purposes. | [
"region:us"
] | null | null | null | null | 2 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"693980dafdb7a5bbe450b7f1","author":"0x2bear","createdAt":"2025-12-10T14:16:58.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tSample Dataset\n\t\n\nA small example dataset for demo purposes.\n","downloads":2,"gated":false,"id":"0x2bear/testnetflowid-sample-dataset","lastModified":"2025-12-10T14:20:29.000Z","likes"... |
dataset | 0x2f61667/CalibreVerificationManual | null | dataset:0x2f61667/CalibreVerificationManual | 2026-09-26T22:00:19.720269+00:00 | https://huggingface.co/datasets/0x2f61667/CalibreVerificationManual | 0x2f61667 | 2025-05-09T06:40:23.000Z | 2025-05-09T06:40:41.000Z | 0c4aec249102e8244d848b56d8a450aa03ca1b2a | null | [
"library:datasets",
"library:mlcroissant",
"license:mit",
"region:us",
"size_categories:n<1K"
] | mit | null | null | null | 6 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"681da357d668cfc53ade064a","author":"0x2f61667","cardData":{"license":"mit"},"createdAt":"2025-05-09T06:40:23.000Z","downloads":6,"gated":false,"id":"0x2f61667/CalibreVerificationManual","lastModified":"2025-05-09T06:40:41.000Z","likes":0,"private":false,"sha":"0c4aec249102e8244d848b56d8a450aa03ca1b2a","tags":["... |
dataset | 0x2f61667/SVRF | null | dataset:0x2f61667/SVRF | 2026-09-26T22:00:20.502880+00:00 | https://huggingface.co/datasets/0x2f61667/SVRF | 0x2f61667 | 2025-05-11T08:39:27.000Z | 2025-05-11T08:40:04.000Z | 4799547ff2585beef05ef0a69d917136149f8c7b | null | [
"license:mit",
"region:us"
] | mit | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6820623ffb7096b4ef57e0c5","author":"0x2f61667","cardData":{"license":"mit"},"createdAt":"2025-05-11T08:39:27.000Z","downloads":2,"gated":false,"id":"0x2f61667/SVRF","lastModified":"2025-05-11T08:40:04.000Z","likes":0,"private":false,"sha":"4799547ff2585beef05ef0a69d917136149f8c7b","tags":["license:mit","region:... |
dataset | 0x2f61667/fzskbxk-sc | null | dataset:0x2f61667/fzskbxk-sc | 2026-09-26T21:58:30.051995+00:00 | https://huggingface.co/datasets/0x2f61667/fzskbxk-sc | 0x2f61667 | 2024-01-28T09:12:23.000Z | 2024-01-28T09:12:47.000Z | 19067dbb3beb731c199d8c9ceed1e5862d1cfd66 | null | [
"license:other",
"region:us"
] | other | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"65b61a77f41c8375b354fd31","author":"0x2f61667","cardData":{"license":"other","license_link":"https://www.foundertype.com/index.php/About/powerAllowPro.html","license_name":"powerallowpro"},"createdAt":"2024-01-28T09:12:23.000Z","downloads":3,"gated":false,"id":"0x2f61667/fzskbxk-sc","lastModified":"2024-01-28T0... |
dataset | 0x3/CABankSakuraCHJP | null | dataset:0x3/CABankSakuraCHJP | 2026-09-26T22:21:02.140139+00:00 | https://huggingface.co/datasets/0x3/CABankSakuraCHJP | 0x3 | 2026-05-24T05:56:24.000Z | 2026-05-24T05:56:24.000Z | 831b3e6952dace1bc3581209ba525c8992e35b36 | CABank Japanese CallHome Corpus
Participants: 120
Type of Study: phone call
Location: United States
Media type: audio
DOI: doi:10.21415/T5H59V
Web: https://ca.talkbank.org/access/CallHome/jpn.html
Citation information
Some citation here.
In accordance with TalkBank rules, any use of da... | [
"annotations_creators:expert-generated",
"language:ja",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"license:cc",
"modality:audio",
"multilinguality:monolingual",
"region:us",
"size_categories:100K<n<1M",
"source_datasets:found",
"speech-recognition",
"task_categori... | null | null | null | null | 23 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a129308c04fb49557994e7f","author":"0x3","cardData":{"annotations_creators":["expert-generated"],"language":["ja"],"language_creators":["crowdsourced","expert-generated"],"license":["cc"],"multilinguality":["monolingual"],"pretty_name":"banksakura","size_categories":["100K<n<1M"],"source_datasets":["found"],"ta... |
dataset | 0x3/DEMAND-acoustic-noise | null | dataset:0x3/DEMAND-acoustic-noise | 2026-09-26T22:21:02.388087+00:00 | https://huggingface.co/datasets/0x3/DEMAND-acoustic-noise | 0x3 | 2026-05-24T11:38:09.000Z | 2026-05-24T11:38:10.000Z | 9ed370385940e71c55115a71f50e32a827a1782f | About Dataset
A database of 16-channel environmental noise recordings
Source: https://www.kaggle.com/datasets/chrisfilo/demand
License: CC-BY-4.0
Introduction
Microphone arrays, a (typically regular) arrangement of several microphones, allow for a number of interesting signal processing techniques. The correlation of a... | [
"acoustic",
"audio",
"demand",
"format:parquet",
"library:dask",
"library:datasets",
"library:mlcroissant",
"library:polars",
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"modality:text",
"noise",
"region:us",
"size_categories:n<1K",
"task_categories:audio-classification"
] | cc-by-4.0 | null | null | null | 101 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a12e321226b27b47915bc98","author":"0x3","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":10905776838,"download_size":10446419041,"features":[{"dtype":"audio","name":"audio"},{"dtype":"string","name":"file_name"}],"splits":[{... |
dataset | 0x3/DNS-Challenge | null | dataset:0x3/DNS-Challenge | 2026-09-26T22:21:03.523495+00:00 | https://huggingface.co/datasets/0x3/DNS-Challenge | 0x3 | 2026-05-26T08:54:05.000Z | 2026-05-26T08:54:06.000Z | ed859b6272f4702883c124cf0fcf3e328eed8a55 | Deep Noise Suppression (DNS) Challenge - Interspeech 2020
This repository contains the datasets and scripts required for the DNS challenge. For more details about the challenge, please visit https://dns-challenge.azurewebsites.net/ and refer to our paper.
Repo details:
The datasets directory contains... | [
"arxiv:2005.13981",
"format:audiofolder",
"library:datasets",
"library:mlcroissant",
"modality:audio",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 261 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a155fad634d102bb9d07b75","author":"0x3","createdAt":"2026-05-26T08:54:05.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tDeep Noise Suppression (DNS) Challenge - Interspeech 2020\n\t\n\nThis repository contains the datasets and scripts required for the DNS challenge. For more details about the challenge, please v... |
dataset | 0x3/Easy-Turn-Trainset | null | dataset:0x3/Easy-Turn-Trainset | 2026-09-26T22:21:02.918227+00:00 | https://huggingface.co/datasets/0x3/Easy-Turn-Trainset | 0x3 | 2026-05-25T13:48:14.000Z | 2026-05-25T13:48:14.000Z | 85ca1242f11c7742d80fe01d79ad36d07c6a7d0a | Easy Turn: Integrating Acoustic and Linguistic Modalities for Robust Turn-Taking in Full-Duplex Spoken Dialogue Systems
Guojian Li1, Chengyou Wang1, Hongfei Xue1,
Shuiyuan Wang1, Dehui Gao1, Zihan Zhang2,
Yuke Lin2, Wenjie Li2, Longshuai Xiao2,
Zhonghua Fu1,╀, Lei Xie1,╀
1 Audio, Speech and Language... | [
"asr",
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"speech",
"task_categories:audio-classification",
"task_categories:... | apache-2.0 | null | null | null | 40 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a14531e3d982139873a8d1e","author":"0x3","cardData":{"language":["en","zh"],"license":"apache-2.0","pretty_name":"Easy Turn","tags":["speech","asr"],"task_categories":["automatic-speech-recognition","audio-classification"]},"createdAt":"2026-05-25T13:48:14.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tEasy Turn:... |
dataset | 0x3/Genshin-Voice-Ja | null | dataset:0x3/Genshin-Voice-Ja | 2026-09-26T22:21:19.808363+00:00 | https://huggingface.co/datasets/0x3/Genshin-Voice-Ja | 0x3 | 2026-06-24T08:03:38.000Z | 2026-06-24T08:03:55.000Z | c03f90d70b49b76a66a1ecaf087fead9b058a41b | null | [
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] | null | null | null | null | 200 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a3b8f5a7dae36fb23dc4f5d","author":"0x3","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":75999629400.54,"download_size":60275801105,"features":[{"dtype":"string","name":"id"},{"dtype":"audio","name":"audio"},{"dtype":"string... |
dataset | 0x3/SeniorTalk | null | dataset:0x3/SeniorTalk | 2026-09-26T22:20:47.214717+00:00 | https://huggingface.co/datasets/0x3/SeniorTalk | 0x3 | 2026-04-26T12:23:20.000Z | 2026-04-26T12:23:23.000Z | c0941732d14b9d6640b0de824344799706d1b8eb | SeniorTalk: A Chinese Conversation Dataset with Rich Annotations for Super-Aged Seniors
Introduction
SeniorTalk is a comprehensive, open-source Mandarin Chinese speech dataset specifically designed for research on elderly aged 75 to 85. This dataset addresses the critical lack of publicly availab... | [
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] | cc-by-nc-sa-4.0 | null | null | null | 62 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69ee03b822af97ab9e6df363","author":"0x3","cardData":{"configs":[{"config_name":"dialogue_data","data_files":[{"path":"dialogue_data/train-*","split":"train"},{"path":"dialogue_data/test-*","split":"test"}]},{"config_name":"sentence_data","data_files":[{"path":"sentence_data/train-*","split":"train"},{"path":"se... |
dataset | 0x3/Zero-To-CAD-1m | null | dataset:0x3/Zero-To-CAD-1m | 2026-09-26T22:20:54.894889+00:00 | https://huggingface.co/datasets/0x3/Zero-To-CAD-1m | 0x3 | 2026-05-08T13:25:21.000Z | 2026-05-08T13:25:22.000Z | af16694a9268ea3701fb46ee2af696c8becfd786 | Zero-to-CAD 1M
One million executable, interpretable CAD construction sequences synthesized entirely without real-world data.
Zero-to-CAD: Agentic Synthesis of Interpretable CAD Programs at Million-Scale Without Real Data
Mohammadmehdi Ataei, Farzaneh Askari, Kamal Rahimi Malekshan, Pradeep Kumar Jayaraman
Au... | [
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"CAD",
"CadQuery",
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"... | apache-2.0 | null | null | null | 1,199 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"69fde4411154000101fc9f3f","author":"0x3","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train/*.parquet","split":"train"},{"path":"data/val/*.parquet","split":"validation"},{"path":"data/test/*.parquet","split":"test"}]}],"language":["en","code"],"license":"apache-2.0","pretty_name"... |
dataset | 0x3/ami | null | dataset:0x3/ami | 2026-09-26T22:21:02.645438+00:00 | https://huggingface.co/datasets/0x3/ami | 0x3 | 2026-05-25T05:50:54.000Z | 2026-05-25T05:50:55.000Z | e3cb153f6d05d6ccfd82f306a8a411c9232b6d12 | Dataset Card for AMI
Dataset Description
The AMI Meeting Corpus consists of 100 hours of meeting recordings. The recordings use a range of signals
synchronized to a common timeline. These include close-talking and far-field microphones, individual and
room-view video cameras, and output from a slide p... | [
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"task_categories:automatic-spee... | null | null | null | null | 78 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a13e33e900878f603f6ac6d","author":"0x3","cardData":{"annotations_creators":[],"configs":[{"config_name":"ihm","data_files":[{"path":"ihm/train-*","split":"train"},{"path":"ihm/validation-*","split":"validation"},{"path":"ihm/test-*","split":"test"}]},{"config_name":"sdm","data_files":[{"path":"sdm/train-*","sp... |
dataset | 0x3/aozorabunko-clean | null | dataset:0x3/aozorabunko-clean | 2026-09-26T22:21:14.853327+00:00 | https://huggingface.co/datasets/0x3/aozorabunko-clean | 0x3 | 2026-06-12T15:01:53.000Z | 2026-06-12T15:01:53.000Z | 84fb3548390cbf869f4753741fb0ad537ccc351e | Overview
This dataset provides a convenient and user-friendly format of data from Aozora Bunko (青空文庫), a website that compiles public-domain books in Japan, ideal for Machine Learning applications.
[For Japanese] 日本語での概要説明を Qiita に記載しました: https://qiita.com/akeyhero/items/b53eae1c0bc4d54e321f
Methodology
... | [
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"task_categories:text-generation"
] | cc-by-4.0 | null | null | null | 15 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a2c1f614c3f1cf0dfbab659","author":"0x3","cardData":{"language":["ja"],"license":"cc-by-4.0","size_categories":["10K<n<100K"],"task_categories":["text-generation","text-classification"]},"createdAt":"2026-06-12T15:01:53.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tOverview\n\t\n\nThis dataset provides a conveni... |
dataset | 0x3/audioset-nonspeech | null | dataset:0x3/audioset-nonspeech | 2026-09-26T22:21:03.181921+00:00 | https://huggingface.co/datasets/0x3/audioset-nonspeech | 0x3 | 2026-05-26T01:44:55.000Z | 2026-05-26T01:44:55.000Z | b21ee117c01ec6f1c94977e0ebd6ae0ef4f19421 | Audioset-Nonspeech
Audioset-Nonspeech is a processed version of the well-known agkphysics/AudioSet dataset. The processing was performed to remove all audio recordings that may contain clearly distinguishable human speech, leaving only non-speech audio recordings. The resulting Audioset-Nonspeech dataset can be used... | [
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"region:us",
"size_categories:10K<n<100K",
"task_categories:audio-classification"
] | cc-by-4.0 | null | null | null | 22 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a14fb17634d102bb9cbe409","author":"0x3","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"},{"path":"data/validation-*","split":"validation"},{"path":"data/test-*","split":"test"}]}],"dataset_info":{"dataset_size":4422197052.506,"download_size":4328763714,"feat... |
dataset | 0x3/callfriend | null | dataset:0x3/callfriend | 2026-09-26T22:21:41.765825+00:00 | https://huggingface.co/datasets/0x3/callfriend | 0x3 | 2026-08-13T02:10:25.000Z | 2026-08-13T02:10:25.000Z | 5221688c451309f46cf32a344faaa40bcf989e2a | null | [
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] | null | null | null | null | 28 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a7d279178375e66ec8bed4a","author":"0x3","cardData":{"configs":[{"config_name":"eng-n","data_files":[{"path":"eng-n/data-*","split":"data"}]},{"config_name":"eng-s","data_files":[{"path":"eng-s/data-*","split":"data"}]},{"config_name":"fra-q","data_files":[{"path":"fra-q/data-*","split":"data"}]},{"config_name"... |
dataset | 0x3/clotho-ja | null | dataset:0x3/clotho-ja | 2026-09-26T22:21:16.024662+00:00 | https://huggingface.co/datasets/0x3/clotho-ja | 0x3 | 2026-06-15T15:07:11.000Z | 2026-06-15T15:07:11.000Z | 26810f94c31277161b800131c9af64c3d81102a6 | Qwen/Qwen3-4B-Instruct-2507を使用してClothoを日本語に翻訳したデータです。
ライセンスは元データに従います。 | [
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"task_categories:text-generation"
] | null | null | null | null | 43 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a30151f31e6207e162a02f8","author":"0x3","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":38981921523,"download_size":37199176449,"features":[{"dtype":"string","name":"index"},{"dtype":"string","name":"datasetname"},{"dtype":... |
dataset | 0x3/common_voice_17_0 | null | dataset:0x3/common_voice_17_0 | 2026-09-26T22:21:04.386295+00:00 | https://huggingface.co/datasets/0x3/common_voice_17_0 | 0x3 | 2026-05-27T01:30:50.000Z | 2026-05-27T01:31:00.000Z | d23d428e6769f8969997603c261e256edb135621 | Dataset Card for Common Voice Corpus 17.0
This dataset is an unofficial version of the Mozilla Common Voice Corpus 17. It was downloaded and converted from the project's website https://commonvoice.mozilla.org/.
Languages
Abkhaz, Albanian, Amharic, Arabic, Armenian, Assamese, Asturian, Azerbaijani, ... | [
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"language:bn",
"language:br",
"language:ca",
"language:ckb",
"language:cnh",
"language:cs",
"langua... | cc0-1.0 | null | null | null | 1,193 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a16494a9dd3065dd73e1bd8","author":"0x3","cardData":{"language":["ab","af","am","ar","as","ast","az","ba","bas","be","bg","bn","br","ca","ckb","cnh","cs","cv","cy","da","de","dv","dyu","el","en","eo","es","et","eu","fa","fi","fr","gl","gn","ha","he","hi","hsb","hu","ia","id","ig","is","it","ja","ka","kab","kk",... |
dataset | 0x3/esc50 | null | dataset:0x3/esc50 | 2026-09-26T22:21:03.181921+00:00 | https://huggingface.co/datasets/0x3/esc50 | 0x3 | 2026-05-26T01:44:15.000Z | 2026-05-26T01:44:15.000Z | 47844e0e2251f6b41ce64b22fd14e721877bfea3 | https://github.com/karolpiczak/ESC-50
The dataset is available under the terms of the Creative Commons Attribution Non-Commercial license.
K. J. Piczak. ESC: Dataset for Environmental Sound Classification. Proceedings of the 23rd Annual ACM Conference on Multimedia, Brisbane, Australia, 2015.
[DOI: http://dx.doi.org/10... | [
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] | null | null | null | null | 17 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a14faefacc0a38c1dabd211","author":"0x3","createdAt":"2026-05-26T01:44:15.000Z","description":"https://github.com/karolpiczak/ESC-50\nThe dataset is available under the terms of the Creative Commons Attribution Non-Commercial license.\nK. J. Piczak. ESC: Dataset for Environmental Sound Classification. Proceedin... |
dataset | 0x3/freesound-laion-640k | null | dataset:0x3/freesound-laion-640k | 2026-09-26T22:21:03.181921+00:00 | https://huggingface.co/datasets/0x3/freesound-laion-640k | 0x3 | 2026-05-26T01:39:37.000Z | 2026-05-26T01:39:38.000Z | 3fafaed555fcba9036503e8d69d3d018de2733a3 | About this Repository
This repository is a re-upload of the FreeSound.org dataset as curated by LAION for the larger LAION-Audio-630k dataset, with the following changes:
Limited columns to only the audio and basic metadata.
Incorporated necessary information for licensing and attribution.
Removed ambiguously licen... | [
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"task_... | cc | null | null | null | 75 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a14f9d92e08349d09d3d0d8","author":"0x3","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"},{"path":"data/test-*","split":"test"}]}],"dataset_info":{"dataset_size":736977744592.019,"download_size":678850663953,"features":[{"dtype":"audio","name":"audio"},{"dtyp... |
dataset | 0x3/ja_asr.common_voice_8_0 | null | dataset:0x3/ja_asr.common_voice_8_0 | 2026-09-26T22:21:15.458910+00:00 | https://huggingface.co/datasets/0x3/ja_asr.common_voice_8_0 | 0x3 | 2026-06-13T16:02:22.000Z | 2026-06-13T16:02:23.000Z | 07edf8ec3c7c3aa33e1a7605701da9e3c8f5c8a7 | null | [
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"size_categories:1K<n<10K"
] | null | null | null | null | 16 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a2d7f0e52ae9509174d6c27","author":"0x3","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/test-*","split":"test"}]}],"dataset_info":{"dataset_size":173632780.205,"download_size":151322876,"features":[{"dtype":{"audio":{"sampling_rate":48000}},"name":"audio"},{"dtype":"string","name":"... |
dataset | 0x3/jmultiwoz | null | dataset:0x3/jmultiwoz | 2026-09-26T22:22:02.565911+00:00 | https://huggingface.co/datasets/0x3/jmultiwoz | 0x3 | 2026-09-25T14:27:32.000Z | 2026-09-25T14:27:32.000Z | 68d992b94fd91d869b1056650b9989dc7aa8bc23 | JMultiWOZ is a large-scale Japanese multi-domain task-oriented dialogue dataset. The dataset is collected using
the Wizard-of-Oz (WoZ) methodology, where two human annotators simulate the user and the system. The dataset contains
4,246 dialogues across 6 domains, including restaurant, hotel, attraction, shopping, tax... | [
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"task_ids:di... | cc-by-sa-4.0 | null | null | null | 14 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6ab684d43abca325aeaf13c3","author":"0x3","cardData":{"annotations_creators":["crowdsourced"],"dataset_info":{"dataset_size":70817107,"download_size":11016438,"features":[{"dtype":"int32","name":"dialogue_id"},{"dtype":"string","name":"dialogue_name"},{"dtype":"string","name":"system_name"},{"dtype":"string","na... |
dataset | 0x3/joyo-kanji-yomi-benchmark | null | dataset:0x3/joyo-kanji-yomi-benchmark | 2026-09-26T22:21:51.685548+00:00 | https://huggingface.co/datasets/0x3/joyo-kanji-yomi-benchmark | 0x3 | 2026-09-01T07:57:52.000Z | 2026-09-01T07:57:52.000Z | 3ff2fbbc44af3c050f4863875c7f848547997285 | Joyo Kanji Yomi Benchmark
A kanji-level pronunciation evaluation benchmark for Japanese TTS, covering all 2,136 Joyo kanji and their 4,378 readings with 13,095 native-speaker-verified test sentences.
Dataset Description
Each sample targets a specific kanji-reading pair. The sentence context is desig... | [
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"chinese-character",
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"size_categories:10K<n<100K",
"task_categories:text-t... | mit | null | null | null | 65 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a968580cb71892f8a13af85","author":"0x3","cardData":{"language":["ja"],"license":"mit","pretty_name":"Joyo Kanji Yomi Benchmark","size_categories":["10K<n<100K"],"tags":["tts-evaluation","japanese","kanji","chinese-character","pronunciation"],"task_categories":["text-to-speech"]},"createdAt":"2026-09-01T07:57:5... |
dataset | 0x3/joyo-kanji-yomi-benchmark-parakeet | null | dataset:0x3/joyo-kanji-yomi-benchmark-parakeet | 2026-09-26T22:21:51.685548+00:00 | https://huggingface.co/datasets/0x3/joyo-kanji-yomi-benchmark-parakeet | 0x3 | 2026-09-01T08:12:00.000Z | 2026-09-01T08:12:01.000Z | 8950fc1e70172319d3be9f56733608bcee5713fc | 日本語 | English
常用漢字読みベンチマーク Parakeet Edition (JKYB-Parakeet)
常用漢字読みベンチマーク Parakeet Edition（JKYB-Parakeet）は、G2Pモデルや形態素解析器、TTSシステムが日本語の文章中の漢字を正しく読めているかを評価するためのベンチマークです。評価に用いるデータセットと評価ツールから構成されます。
このページでは、JKYB-Parakeetのデータセットを公開しています。評価ツールはGitHubで公開しています。
このデータセットは、SB Intuitionsによるデータセットsbintuitions/joyo-ka... | [
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"pronunciation",
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"size_categories:10K<n<100K",
"task_categories:text... | mit | null | null | null | 59 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a9688d069b7487867a29b02","author":"0x3","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/common_kanji_source.jsonl","split":"test"}]}],"language":["ja"],"license":"mit","pretty_name":"Joyo Kanji Yomi Benchmark: Parakeet Edition","size_categories":["10K<n<100K"],"tags":["japanese","ka... |
dataset | 0x3/kana-kanji-context | null | dataset:0x3/kana-kanji-context | 2026-09-26T22:21:53.704396+00:00 | https://huggingface.co/datasets/0x3/kana-kanji-context | 0x3 | 2026-09-06T00:54:04.000Z | 2026-09-06T00:54:05.000Z | 148a420cf4f5b1350854494a8464c664d5dcde16 | kana-kanji-context
Japanese kana-to-kanji conversion dataset with context for disambiguation.
Overview
Metric
Value
Total entries
77,277,970
File size
~7.4GB
Format
JSONL
Data Format
{
"input": "神経 [---]かがく",
"output": ["科学"],
"count": 1
}
{
"input": "この [--... | [
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"license:cc-by-sa-4.0",
"modality:text",
"region:us",
"size_categories:100M<n<1B",
"task_categories:text-generation"
] | null | null | null | null | 57 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a9cb9acb119186d1e038193","author":"0x3","cardData":{"language":["ja"],"license":["cc-by-sa-4.0"],"size_categories":["10M<n<100M"],"tags":["japanese","kana","kanji","ime","disambiguation"],"task_categories":["text-generation"]},"createdAt":"2026-09-06T00:54:04.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tkana-k... |
dataset | 0x3/librispeech_asr | null | dataset:0x3/librispeech_asr | 2026-09-26T22:21:04.386295+00:00 | https://huggingface.co/datasets/0x3/librispeech_asr | 0x3 | 2026-05-27T01:31:21.000Z | 2026-05-27T01:31:22.000Z | 91a3c4675ed49d0c72b0bf248355fad6a64c8dc0 | Dataset Card for librispeech_asr
Dataset Summary
LibriSpeech is a corpus of approximately 1000 hours of 16kHz read English speech, prepared by Vassil Panayotov with the assistance of Daniel Povey. The data is derived from read audiobooks from the LibriVox project, and has been carefully segmented and ... | [
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"license:cc-by-4.0",
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"multilingual... | null | null | null | null | 527 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a164969dfc91e8e70057d3e","author":"0x3","cardData":{"annotations_creators":["expert-generated"],"configs":[{"config_name":"clean","data_files":[{"path":"clean/test/*.parquet","split":"test"},{"path":"clean/train.100/*.parquet","split":"train.100"},{"path":"clean/train.360/*.parquet","split":"train.360"},{"path... |
dataset | 0x3/musan-noise | null | dataset:0x3/musan-noise | 2026-09-26T22:21:02.388087+00:00 | https://huggingface.co/datasets/0x3/musan-noise | 0x3 | 2026-05-24T11:34:04.000Z | 2026-05-24T11:34:05.000Z | 5a3a0ec8b8c531cb9002523809706b6386aa505f | null | [
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"modality:audio",
"region:us",
"size_categories:n<1K"
] | cc-by-4.0 | null | null | null | 9 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a12e22cde5b5dd722dd76df","author":"0x3","cardData":{"license":"cc-by-4.0"},"createdAt":"2026-05-24T11:34:04.000Z","downloads":9,"gated":false,"id":"0x3/musan-noise","lastModified":"2026-05-24T11:34:05.000Z","likes":0,"private":false,"sha":"5a3a0ec8b8c531cb9002523809706b6386aa505f","tags":["license:cc-by-4.0","... |
dataset | 0x3/smart-turn-data-v3.2-test | null | dataset:0x3/smart-turn-data-v3.2-test | 2026-09-26T22:21:01.694161+00:00 | https://huggingface.co/datasets/0x3/smart-turn-data-v3.2-test | 0x3 | 2026-05-23T09:21:43.000Z | 2026-05-23T09:21:44.000Z | 9589f5f1e7b979a101134910a8d48463190a1b6e | Testing dataset for Smart Turn v3.2.
Thank you to the following contributors whose audio samples are included in this dataset:
The Pipecat team
Liva AI: https://www.theliva.ai/
Midcentury: https://www.midcentury.xyz/
MundoAI: https://mundoai.world/
Also, thank you to the following people for the CC-0 background noise... | [
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"library:polars",
"modality:audio",
"modality:text",
"region:us",
"size_categories:10K<n<100K"
] | null | null | null | null | 31 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a1171a7c000b6b384095b42","author":"0x3","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":4836436489,"download_size":4837751629,"features":[{"dtype":"audio","name":"audio"},{"dtype":"string","name":"id"},{"dtype":"string","na... |
dataset | 0x3/smart-turn-data-v3.2-train | null | dataset:0x3/smart-turn-data-v3.2-train | 2026-09-26T22:21:01.694161+00:00 | https://huggingface.co/datasets/0x3/smart-turn-data-v3.2-train | 0x3 | 2026-05-23T09:20:10.000Z | 2026-05-23T09:20:10.000Z | f4c3f127cce1d413acf54960373ccdca05cd3515 | Training dataset for Smart Turn v3.2.
Thank you to the following contributors whose audio samples are included in this dataset:
The Pipecat team
Liva AI: https://www.theliva.ai/
Midcentury: https://www.midcentury.xyz/
MundoAI: https://mundoai.world/
Also, thank you to the following people for the CC-0 background nois... | [
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"library:mlcroissant",
"library:polars",
"modality:audio",
"modality:text",
"region:us",
"size_categories:100K<n<1M"
] | null | null | null | null | 94 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a11714a4b52c1ce817768ee","author":"0x3","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":41390078829,"download_size":41400926042,"features":[{"dtype":"audio","name":"audio"},{"dtype":"string","name":"id"},{"dtype":"string","... |
dataset | 0x3/speech-noise-dataset | null | dataset:0x3/speech-noise-dataset | 2026-09-26T22:21:02.388087+00:00 | https://huggingface.co/datasets/0x3/speech-noise-dataset | 0x3 | 2026-05-24T09:28:57.000Z | 2026-05-24T09:28:57.000Z | 30b33bb38241c002b1a03470c250495b36e70939 | Speech and Noise Dataset
Overview
This dataset contains three types of audio recordings:
Clean Speech → recordings of only speech without noise.
Noisy Speech → recordings of speech mixed with noise.
Noise Only → recordings of only background/environmental noise.
The dataset is designed for speec... | [
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"region:us",
"size_categories:1K<n<10K",
"task_categories:audio-to-audio"
] | cc0-1.0 | null | null | null | 24 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a12c4d9854099dc536b208b","author":"0x3","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":5964376050.089,"download_size":5928564031,"features":[{"dtype":"string","name":"filename"},{"dtype":"string","name":"label"},{"dtype":{... |
dataset | 0x3/tau-urban-acoustic-scenes-2022-mobile-split5 | null | dataset:0x3/tau-urban-acoustic-scenes-2022-mobile-split5 | 2026-09-26T22:21:03.523495+00:00 | https://huggingface.co/datasets/0x3/tau-urban-acoustic-scenes-2022-mobile-split5 | 0x3 | 2026-05-26T12:33:28.000Z | 2026-05-26T12:33:29.000Z | 649a79734108d421f4342b1f3bb7e4abb8795af1 | TAU Urban Acoustic Scenes 2022 Mobile - Split5 (Docs-aligned)
This dataset repo contains a docs-aligned low-resource subset for DCASE-style evaluation:
audio/: extracted audio files referenced by split5 + official test split
evaluation_setup/fold1_train.csv: split5 training list (tab-separated, labeled)
evaluation_... | [
"modality:audio",
"region:us"
] | null | null | null | null | 14 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a1593189e675d6fc3c3f852","author":"0x3","createdAt":"2026-05-26T12:33:28.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tTAU Urban Acoustic Scenes 2022 Mobile - Split5 (Docs-aligned)\n\t\n\nThis dataset repo contains a docs-aligned low-resource subset for DCASE-style evaluation:\n\naudio/: extracted audio files r... |
dataset | 0x3/vad-human-ava-speech | null | dataset:0x3/vad-human-ava-speech | 2026-09-26T22:21:02.645438+00:00 | https://huggingface.co/datasets/0x3/vad-human-ava-speech | 0x3 | 2026-05-25T05:50:44.000Z | 2026-05-25T05:50:45.000Z | 46d480144cc1db3b40bfcdba25f60838c366fd00 | Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection
We proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper
Positive... | [
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"modality:audio",
"modality:tabular",
"modality:text",
"region:us",
"size_categories:n<1K"
] | apache-2.0 | null | null | null | 7 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a13e33479da854094884843","author":"0x3","cardData":{"license":"apache-2.0"},"createdAt":"2026-05-25T05:50:44.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tPositive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection\n\t\n\nWe proposed WhisperSeg, utilizing the Whisper Transfo... |
dataset | 0x3/vocal-bursts | null | dataset:0x3/vocal-bursts | 2026-09-26T22:21:07.419557+00:00 | https://huggingface.co/datasets/0x3/vocal-bursts | 0x3 | 2026-05-31T08:57:42.000Z | 2026-05-31T08:57:42.000Z | 6aac12ac8bc6f26229ba6ab18b7c591657c43ff0 | Vocal Bursts
A curated collection of 28,564 non-speech vocal burst audio samples across 18 categories.
Categories
Category
Samples
Breath
1,690
Cough
4,248
Crying
2,020
Laughter
4,797
Lip Popping
54
Lip Smacking
45
Moan
45
Nose Blowing
48
Pant
44
Scream
714
Sigh
3,546
... | [
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"size_categories:10K<n<100K",
"sound-effects",
"task_categories:audio-classification",
"tts",
"vocal-bursts"
] | cc-by-4.0 | null | null | null | 54 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a1bf8065da6c916d180a0fb","author":"0x3","cardData":{"license":"cc-by-4.0","pretty_name":"Vocal Bursts","tags":["vocal-bursts","non-speech","audio","tts","sound-effects"],"task_categories":["audio-classification"]},"createdAt":"2026-05-31T08:57:42.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tVocal Bursts\n\t\n\... |
dataset | 0x3/voxceleb2 | null | dataset:0x3/voxceleb2 | 2026-09-26T22:21:44.828523+00:00 | https://huggingface.co/datasets/0x3/voxceleb2 | 0x3 | 2026-08-19T06:02:42.000Z | 2026-08-19T06:02:45.000Z | b1958b8167ddd3e26d8ac39cce7c2de9fb2f07c4 | VoxCeleb2 Dataset
This is the VoxCeleb2 dataset, a large-scale speaker identification dataset.
Dataset Description
VoxCeleb2 contains over 1 million utterances for 6,112 celebrities, extracted from videos uploaded to YouTube.
Files
vox2_dev_mp4_part*: Multipart archive containing MP4 v... | [
"language:en",
"license:mit",
"region:us",
"size_categories:100K<n<1M",
"task_categories:audio-classification",
"task_categories:automatic-speech-recognition"
] | mit | null | null | null | 1,459 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a854702a6f1daf915a38a85","author":"0x3","cardData":{"dataset_info":{"features":[{"dtype":"audio","name":"audio"},{"dtype":"string","name":"speaker_id"},{"dtype":"string","name":"video_id"}]},"language":["en"],"license":"mit","pretty_name":"VoxCeleb2 Dataset","size_categories":["100K<n<1M"],"task_categories":["... |
dataset | 0x3/voxconverse | null | dataset:0x3/voxconverse | 2026-09-26T22:21:02.645438+00:00 | https://huggingface.co/datasets/0x3/voxconverse | 0x3 | 2026-05-25T05:51:00.000Z | 2026-05-25T05:51:01.000Z | b2783b8f241dd32b83a932cbdd050640f08b5064 | Dataset Card for the Voxconverse dataset
VoxConverse is an audio-visual diarisation dataset consisting of multispeaker clips of human speech, extracted from YouTube videos. Updates and additional information about the dataset can be found on the dataset website.
Note: This dataset has been preprocessed using diarize... | [
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"size_categories:n<1K",
"speaker diarization",
"voice activity detection"
] | cc-by-4.0 | null | null | null | 29 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a13e344cbb079b92d7d463e","author":"0x3","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/dev-*","split":"dev"},{"path":"data/test-*","split":"test"}]}],"dataset_info":{"dataset_size":7354283539,"download_size":7296384603,"features":[{"dtype":"audio","name":"audio"},{"name":"timestamp... |
dataset | 0x3/wham | null | dataset:0x3/wham | 2026-09-26T22:21:03.523495+00:00 | https://huggingface.co/datasets/0x3/wham | 0x3 | 2026-05-26T12:33:01.000Z | 2026-05-26T12:33:02.000Z | 3e6374cedb94b5116b247efd7582081d5ad3849c | WHAM!48kHz noise dataset
This is a mirror of the WHAM!48kHz noise dataset.
The original files were segmented and converted from WAV to Opus to reduce the size and accelerate streaming.
Sampling rate: 48 kHz
Channels: 2
Format: Opus
Splits:
Train: 59 hours, 21216 segments, files 000 to 188
Validation: 12 hours, 4444... | [
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"size_categories:10K<n<100K"
] | cc-by-nc-4.0 | null | null | null | 40 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a1592fda80a2acbffd367b0","author":"0x3","cardData":{"dataset_info":{"features":[{"dtype":"audio","name":"audio"},{"dtype":"string","name":"name"}]},"license":"cc-by-nc-4.0"},"createdAt":"2026-05-26T12:33:01.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tWHAM!48kHz noise dataset\n\t\n\nThis is a mirror of the WHA... |
dataset | 0x365/crop-yield-eu | null | dataset:0x365/crop-yield-eu | 2026-09-26T21:59:02.412791+00:00 | https://huggingface.co/datasets/0x365/crop-yield-eu | 0x365 | 2024-08-05T08:16:45.000Z | 2024-08-08T08:49:04.000Z | 8425784f08bf21e53b49f972cee08dc603336283 | Crop Yield in EU by NUTS 2 regions (Area and Yield)
About
This dataset is from the public dataset on Eurostat for Crop production in EU standard humidity by NUTS 2 regions. All given NUTS 2 regions are listed with their respective countries.
This image shows the average number of years each province ... | [
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] | cc-by-4.0 | null | null | null | 22 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"66b08a6d09670b9976dfeb50","author":"0x365","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/regional-*","split":"regional"},{"path":"data/country-*","split":"country"}]}],"dataset_info":{"dataset_size":14772130,"download_size":2517888,"features":[{"dtype":"string","name":"province"},{... |
dataset | 0x365/eo-crop-type-belgium | null | dataset:0x365/eo-crop-type-belgium | 2026-09-26T21:59:00.622459+00:00 | https://huggingface.co/datasets/0x365/eo-crop-type-belgium | 0x365 | 2024-07-25T08:28:15.000Z | 2024-08-06T08:48:14.000Z | 2e180a94f269178c78b6859b9046c89f0dd74d61 | Crop Type Segmentation Earth Observation Dataset of Belgium
This dataset is a ML ready dataset with Earth Observation data from ESA Sentinel-2 with a GSD of 10m. The segmentation labels are given for the crop-type in each 10m pixel. The spectral bands provided are those suggest in ESA WorldCereal documentation (Band... | [
"belgium",
"crop",
"crop-type",
"eo",
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"region:us",
"satellite",
"sentinel",
"sentinel-2",
"size_categorie... | cc-by-4.0 | null | null | null | 88 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"66a20c9f6852bcd499beaffc","author":"0x365","cardData":{"configs":[{"config_name":"default"}],"dataset_info":{"features":[{"dtype":"string","name":"id"},{"dtype":"image","name":"B02"},{"dtype":"image","name":"B03"},{"dtype":"image","name":"B04"},{"dtype":"image","name":"B05"},{"dtype":"image","name":"B06"},{"dty... |
dataset | 0x365/stable-orbits | null | dataset:0x365/stable-orbits | 2026-09-26T21:59:02.074126+00:00 | https://huggingface.co/datasets/0x365/stable-orbits | 0x365 | 2024-08-02T09:43:08.000Z | 2024-08-02T15:33:37.000Z | 499fac9f807648c369767ce620eaa4050843f325 | null | [
"region:us"
] | null | null | null | null | 402 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"66acaa2c1c74cc52029a5a95","author":"0x365","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"},{"path":"data/part_00000-*","split":"part_00000"},{"path":"data/part_00001-*","split":"part_00001"},{"path":"data/part_00002-*","split":"part_00002"},{"path":"data/par... |
dataset | 0x369MS/Real-Time-Data-Of-Ritual-Bots | null | dataset:0x369MS/Real-Time-Data-Of-Ritual-Bots | 2026-09-26T22:21:20.941844+00:00 | https://huggingface.co/datasets/0x369MS/Real-Time-Data-Of-Ritual-Bots | 0x369MS | 2026-06-26T23:42:35.000Z | 2026-06-27T01:05:42.000Z | 28a7ee7908aa1fce29309351d8acf8396213ad7f | null | [
"region:us"
] | null | null | null | null | 4 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a3f0e6b4d64a10aa806f083","author":"0x369MS","createdAt":"2026-06-26T23:42:35.000Z","downloads":4,"gated":false,"id":"0x369MS/Real-Time-Data-Of-Ritual-Bots","lastModified":"2026-06-27T01:05:42.000Z","likes":0,"private":false,"sha":"28a7ee7908aa1fce29309351d8acf8396213ad7f","tags":["region:us"]} |
dataset | 0x369MS/Siggy | null | dataset:0x369MS/Siggy | 2026-09-26T22:21:20.941844+00:00 | https://huggingface.co/datasets/0x369MS/Siggy | 0x369MS | 2026-06-26T22:21:06.000Z | 2026-06-26T22:42:47.000Z | 0dedc6dbdcc7399817375619915d4fa0119b5001 | null | [
"region:us"
] | null | null | null | null | 5 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a3efb52b4caacbf6332849c","author":"0x369MS","createdAt":"2026-06-26T22:21:06.000Z","downloads":5,"gated":false,"id":"0x369MS/Siggy","lastModified":"2026-06-26T22:42:47.000Z","likes":0,"private":false,"sha":"0dedc6dbdcc7399817375619915d4fa0119b5001","tags":["region:us"]} |
dataset | 0x404/ccs_dataset | null | dataset:0x404/ccs_dataset | 2026-09-26T21:59:07.710499+00:00 | https://huggingface.co/datasets/0x404/ccs_dataset | 0x404 | 2024-09-04T11:50:15.000Z | 2024-09-04T12:18:29.000Z | cfb813feeff20fbe01c9443579fa0ea504245267 | null | [
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dataset | 0x4139/propositionizer-wiki-data | null | dataset:0x4139/propositionizer-wiki-data | 2026-09-26T21:59:54.848459+00:00 | https://huggingface.co/datasets/0x4139/propositionizer-wiki-data | 0x4139 | 2025-03-13T14:40:32.000Z | 2025-03-13T14:41:48.000Z | c54865d4f0d5493712d8f38320dd5a6fb521c936 | null | [
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dataset | 0x566/alphasur | null | dataset:0x566/alphasur | 2026-09-26T22:00:02.643718+00:00 | https://huggingface.co/datasets/0x566/alphasur | 0x566 | 2025-04-01T10:10:58.000Z | 2025-04-01T10:10:58.000Z | 743d9fc6f499bf6995e25f671ac88732a1d36c0e | null | [
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dataset | 0x646b/AI-Test | null | dataset:0x646b/AI-Test | 2026-09-26T21:59:01.691713+00:00 | https://huggingface.co/datasets/0x646b/AI-Test | 0x646b | 2024-07-31T06:28:57.000Z | 2024-07-31T06:28:57.000Z | 4623e81437ba996f1a2fdce2f11d831e90e8cb46 | null | [
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dataset | 0x646b/Sec-Test | null | dataset:0x646b/Sec-Test | 2026-09-26T21:59:02.074126+00:00 | https://huggingface.co/datasets/0x646b/Sec-Test | 0x646b | 2024-08-02T07:01:43.000Z | 2024-08-02T07:22:02.000Z | 83bce78d4b5ba3308cecc0097cff63946fa6899e | null | [
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dataset | 0x70DA/chat-data | null | dataset:0x70DA/chat-data | 2026-09-26T21:58:04.114600+00:00 | https://huggingface.co/datasets/0x70DA/chat-data | 0x70DA | 2023-04-13T05:46:10.000Z | 2023-04-13T05:57:14.000Z | 66c2772660c18b2b6fd4af92a49e87d675faf039 | Dataset Card for "chat-data"
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dataset | 0x70DA/drone-spectrogram | null | dataset:0x70DA/drone-spectrogram | 2026-09-26T21:59:07.710499+00:00 | https://huggingface.co/datasets/0x70DA/drone-spectrogram | 0x70DA | 2024-09-04T07:38:58.000Z | 2024-09-04T08:49:50.000Z | 113057d710445d9514c155257ceb7c0c93f193da | null | [
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dataset | 0x70DA/drone-spectrogram-v2 | null | dataset:0x70DA/drone-spectrogram-v2 | 2026-09-26T21:59:07.710499+00:00 | https://huggingface.co/datasets/0x70DA/drone-spectrogram-v2 | 0x70DA | 2024-09-04T09:26:37.000Z | 2024-09-04T11:37:33.000Z | c3e14d29a14af1371f72e12405dbca4f1d0f1798 | null | [
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dataset | 0x70DA/drone-spectrogram-v3 | null | dataset:0x70DA/drone-spectrogram-v3 | 2026-09-26T21:59:07.710499+00:00 | https://huggingface.co/datasets/0x70DA/drone-spectrogram-v3 | 0x70DA | 2024-09-04T12:27:17.000Z | 2024-09-04T13:33:15.000Z | 1330688db0b3da5117675c04afd8c6586bb1620d | null | [
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dataset | 0x70DA/drone_dataset_001 | null | dataset:0x70DA/drone_dataset_001 | 2026-09-26T21:59:06.650293+00:00 | https://huggingface.co/datasets/0x70DA/drone_dataset_001 | 0x70DA | 2024-08-28T15:34:47.000Z | 2024-08-28T15:43:13.000Z | 500d049f55b3c344077ba3f36eab68cef5bca03a | null | [
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dataset | 0x70DA/eli5-modified | null | dataset:0x70DA/eli5-modified | 2026-09-26T21:58:03.243484+00:00 | https://huggingface.co/datasets/0x70DA/eli5-modified | 0x70DA | 2023-03-18T14:02:29.000Z | 2023-03-18T14:02:56.000Z | 185171ecfe5bf0fbcccb6050f75018757c5834f7 | Dataset Card for "eli5-modified"
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dataset | 0x70DA/ms_marco_clean | null | dataset:0x70DA/ms_marco_clean | 2026-09-26T21:58:03.243484+00:00 | https://huggingface.co/datasets/0x70DA/ms_marco_clean | 0x70DA | 2023-03-24T00:04:06.000Z | 2023-03-24T00:04:29.000Z | 96e8122530d31eecb964757dc9125062ffeffc33 | Dataset Card for "ms_marco_clean"
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dataset | 0x70DA/sci_summ | null | dataset:0x70DA/sci_summ | 2026-09-26T21:58:02.739442+00:00 | https://huggingface.co/datasets/0x70DA/sci_summ | 0x70DA | 2023-03-05T13:56:55.000Z | 2023-03-05T18:12:54.000Z | ae4e12e5dcce4974dd943bca177db96698014edb | Dataset Card for "sci_summ"
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dataset | 0x70DA/stackoverflow-chat-data | null | dataset:0x70DA/stackoverflow-chat-data | 2026-09-26T21:58:04.625824+00:00 | https://huggingface.co/datasets/0x70DA/stackoverflow-chat-data | 0x70DA | 2023-04-25T20:02:37.000Z | 2023-04-25T20:02:51.000Z | 1942726b3f07d500001591b635717ecc0c46aa7c | Dataset Card for "stackoverflow-chat-data"
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dataset | 0x7o/GCRL-dtf | null | dataset:0x7o/GCRL-dtf | 2026-09-26T21:58:05.225978+00:00 | https://huggingface.co/datasets/0x7o/GCRL-dtf | 0x7o | 2023-05-08T06:16:48.000Z | 2023-05-08T06:20:31.000Z | 87f94e9d1e65f80c0f0d70baccb215eaae417b38 | Dataset Card for "GCRL-dtf"
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dataset | 0x7o/GCRL-flibusta | null | dataset:0x7o/GCRL-flibusta | 2026-09-26T21:58:06.802474+00:00 | https://huggingface.co/datasets/0x7o/GCRL-flibusta | 0x7o | 2023-06-08T10:06:54.000Z | 2023-06-08T10:17:48.000Z | 6600e48f6a211b7a073a75de7d583e2bb508b582 | Dataset Card for "GCRL-flibusta"
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dataset | 0x7o/GCRL-habr | null | dataset:0x7o/GCRL-habr | 2026-09-26T21:58:05.225978+00:00 | https://huggingface.co/datasets/0x7o/GCRL-habr | 0x7o | 2023-05-07T06:51:53.000Z | 2023-05-07T07:07:40.000Z | 474ca1c7a8fcb776ceb0ddc60abe493f5d545ab9 | Dataset Card for "GCRL-habr"
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dataset | 0x7o/GCRL-q | null | dataset:0x7o/GCRL-q | 2026-09-26T21:58:05.225978+00:00 | https://huggingface.co/datasets/0x7o/GCRL-q | 0x7o | 2023-05-08T06:52:15.000Z | 2023-05-08T06:52:22.000Z | 4ae33d2c991e823cc2187c4c8ecf4021ad8388b5 | Dataset Card for "GCRL-q"
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dataset | 0x7o/RussianVibe-data | null | dataset:0x7o/RussianVibe-data | 2026-09-26T21:58:34.173788+00:00 | https://huggingface.co/datasets/0x7o/RussianVibe-data | 0x7o | 2024-02-20T10:20:57.000Z | 2024-02-20T12:50:45.000Z | cbc16b1244770460e477220060ce25db370e7852 | null | [
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dataset | 0x7o/ad_detector | null | dataset:0x7o/ad_detector | 2026-09-26T21:58:04.114600+00:00 | https://huggingface.co/datasets/0x7o/ad_detector | 0x7o | 2023-04-08T11:27:03.000Z | 2023-04-08T14:30:01.000Z | e5877785d1726fcaf5204d9b4a23500bdd281f95 | Dataset Card for Dataset Name
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This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Supported Tasks and Leaderboards
[More Information Needed]
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[More Information Needed]
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dataset | 0x7o/aicups-g | null | dataset:0x7o/aicups-g | 2026-09-26T21:58:56.942697+00:00 | https://huggingface.co/datasets/0x7o/aicups-g | 0x7o | 2024-07-02T07:32:04.000Z | 2024-07-02T07:32:16.000Z | d420f671beb155564c9bafef74d15173b1a0b937 | null | [
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dataset | 0x7o/c4-ru-cleaned | null | dataset:0x7o/c4-ru-cleaned | 2026-09-26T21:58:33.721188+00:00 | https://huggingface.co/datasets/0x7o/c4-ru-cleaned | 0x7o | 2024-02-17T03:41:38.000Z | 2024-02-17T03:42:35.000Z | 283f36a618e1238123cd29bfbba6c0d876281053 | null | [
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dataset | 0x7o/cc-2024-22-ru | null | dataset:0x7o/cc-2024-22-ru | 2026-09-26T21:58:56.551941+00:00 | https://huggingface.co/datasets/0x7o/cc-2024-22-ru | 0x7o | 2024-06-29T14:06:59.000Z | 2024-06-29T14:07:51.000Z | 8eb8fdde0be8720dd69f791643ea61dbc1252aa8 | null | [
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] | null | null | null | null | 13 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"668015039d81a28a9144a526","author":"0x7o","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":2733947817,"download_size":1341687002,"features":[{"dtype":"string","name":"text"},{"dtype":"string","name":"url"},{"dtype":"string","... |
dataset | 0x7o/cc-llm-rank | null | dataset:0x7o/cc-llm-rank | 2026-09-26T21:58:55.258825+00:00 | https://huggingface.co/datasets/0x7o/cc-llm-rank | 0x7o | 2024-06-20T08:36:53.000Z | 2024-06-20T08:37:01.000Z | 40f1f0569b4aa147fa5d58c7100613a57916267f | null | [
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] | null | null | null | null | 12 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6673ea25ab975c8591f737dc","author":"0x7o","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":24647777,"download_size":11972458,"features":[{"dtype":"string","name":"text"},{"dtype":"int64","name":"score"}],"splits":[{"name":"tr... |
dataset | 0x7o/dostoevsky_frontier_3k | null | dataset:0x7o/dostoevsky_frontier_3k | 2026-09-26T22:07:23.748875+00:00 | https://huggingface.co/datasets/0x7o/dostoevsky_frontier_3k | 0x7o | 2026-03-06T16:30:37.000Z | 2026-03-06T16:31:43.000Z | 89d7726bd0add7e3a4e6948b60719346ead6c186 | dostoevsky_frontier_3k
DPO-датасет для обучения языковых моделей стилю русской классической литературы.
Описание
Датасет содержит 3037 пар предпочтений (chosen/rejected) в формате ChatML. Каждый пример — это промпт с заданием написать отрывок в стиле классического русского автора, эталонный ответ (cho... | [
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"russian-literature",
"size_categories:1K<n<10K",
"task_categories:text-generation"
] | mit | null | null | null | 24 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"69ab012dfbafe0232d0524b3","author":"0x7o","cardData":{"language":["ru"],"license":"mit","size_categories":["1K<n<10K"],"tags":["dpo","preference","russian-literature","dostoevsky"],"task_categories":["text-generation"]},"createdAt":"2026-03-06T16:30:37.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tdostoevsky_fro... |
dataset | 0x7o/dostoevsky_frontier_3k_normalized | null | dataset:0x7o/dostoevsky_frontier_3k_normalized | 2026-09-26T22:07:29.248455+00:00 | https://huggingface.co/datasets/0x7o/dostoevsky_frontier_3k_normalized | 0x7o | 2026-03-08T15:52:33.000Z | 2026-03-08T15:52:45.000Z | 4c14358eff058ad64a90889f5d536cafb159eac5 | dostoevsky_frontier_3k_normalized
Нормализованная версия 0x7o/dostoevsky_frontier_3k.
Нормализация
Устранены пунктуационные shortcut-ы, позволяющие модели различать chosen/rejected
по артефактам форматирования вместо стиля.
Общие (chosen + rejected)
ё → е по словарю (книги не использую... | [
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"dpo",
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"language:ru",
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"modality:text",
"normalized",
"preference",
"region:us",
"russian-literature",
"size_categories:1K<n<10K",
"task_categories:text-generati... | mit | null | null | null | 15 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"69ad9b41b25239d5c9c63e4a","author":"0x7o","cardData":{"language":["ru"],"license":"mit","size_categories":["1K<n<10K"],"tags":["dpo","preference","russian-literature","dostoevsky","normalized"],"task_categories":["text-generation"]},"createdAt":"2026-03-08T15:52:33.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\td... |
dataset | 0x7o/dostoevsky_frontier_v2_normalized | null | dataset:0x7o/dostoevsky_frontier_v2_normalized | 2026-09-26T22:07:26.769879+00:00 | https://huggingface.co/datasets/0x7o/dostoevsky_frontier_v2_normalized | 0x7o | 2026-03-08T15:14:48.000Z | 2026-03-08T15:46:22.000Z | 1bc621272943fa809e82497465900501497bf4c1 | dostoevsky_frontier_v2_normalized
Нормализованная версия 0x7o/dostoevsky_frontier_v2.
Нормализация
Устранены пунктуационные shortcut-ы, позволяющие модели различать chosen/rejected
по артефактам форматирования вместо стиля.
Общие (chosen + rejected)
ё → е по словарю (книги не использую... | [
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"normalized",
"preference",
"region:us",
"russian-literature",
"size_categories:n<1K",
"task_categories:text-generation"
... | mit | null | null | null | 12 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69ad9268f44506f6b722e467","author":"0x7o","cardData":{"language":["ru"],"license":"mit","size_categories":["n<1K"],"tags":["dpo","preference","russian-literature","dostoevsky","normalized"],"task_categories":["text-generation"]},"createdAt":"2026-03-08T15:14:48.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tdosto... |
dataset | 0x7o/fialka-v1 | null | dataset:0x7o/fialka-v1 | 2026-09-26T21:58:22.708597+00:00 | https://huggingface.co/datasets/0x7o/fialka-v1 | 0x7o | 2023-12-15T10:08:21.000Z | 2023-12-26T05:25:49.000Z | ad4944585e09692ecfedbd58ff761b71055c60fa | Dataset Card for "violet-v1"
More Information needed | [
"format:parquet",
"language:ru",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
"modality:text",
"region:us",
"size_categories:100K<n<1M",
"task_categories:text-generation"
] | apache-2.0 | null | null | null | 16 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"657c2595696ec3dda93eddbc","author":"0x7o","cardData":{"dataset_info":{"dataset_size":221386895,"download_size":103291349,"features":[{"dtype":"string","name":"texts"}],"splits":[{"name":"train","num_bytes":221386895,"num_examples":129712}]},"language":["ru"],"license":"apache-2.0","size_categories":["100K<n<1M"... |
dataset | 0x7o/fialka-v1-zephyr | null | dataset:0x7o/fialka-v1-zephyr | 2026-09-26T21:58:24.146207+00:00 | https://huggingface.co/datasets/0x7o/fialka-v1-zephyr | 0x7o | 2023-12-26T06:17:57.000Z | 2023-12-26T06:19:32.000Z | 06d5f9a2680db7dac3046e025406a4f9009625c5 | Dataset Card for "fialka-v1-zephyr"
More Information needed | [
"format:parquet",
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"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:100K<n<1M"
] | null | null | null | null | 17 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"658a70150100bf337304c895","author":"0x7o","cardData":{"dataset_info":{"dataset_size":221476959,"download_size":103638760,"features":[{"dtype":"string","name":"texts"}],"splits":[{"name":"train","num_bytes":221476959,"num_examples":129712}]}},"createdAt":"2023-12-26T06:17:57.000Z","description":"\n\t\n\t\t\n\t\n... |
dataset | 0x7o/fialka-v2-dpo | null | dataset:0x7o/fialka-v2-dpo | 2026-09-26T21:58:23.746502+00:00 | https://huggingface.co/datasets/0x7o/fialka-v2-dpo | 0x7o | 2023-12-22T10:29:59.000Z | 2023-12-22T10:30:09.000Z | cdc8ff6f72b9c90e2297d07f0b01ea66b88c9d2f | Dataset Card for "fialka-v2-dpo"
More Information needed | [
"format:parquet",
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"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 29 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"65856527867e434023ccfe6d","author":"0x7o","cardData":{"dataset_info":{"dataset_size":6976884,"download_size":2419126,"features":[{"dtype":"string","name":"prompt"},{"dtype":"string","name":"chosen"},{"dtype":"string","name":"rejected"}],"splits":[{"name":"train","num_bytes":6976884,"num_examples":2470}]}},"crea... |
dataset | 0x7o/fialka-v3-data | null | dataset:0x7o/fialka-v3-data | 2026-09-26T21:58:24.146207+00:00 | https://huggingface.co/datasets/0x7o/fialka-v3-data | 0x7o | 2023-12-27T07:22:25.000Z | 2023-12-27T07:23:15.000Z | b90ae41652422b636886c2bed8ad5e5f7e221de9 | Dataset Card for "fialka-v3-data"
More Information needed | [
"format:parquet",
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"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:100K<n<1M"
] | null | null | null | null | 71 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"658bd0b1cffe7d2208831f38","author":"0x7o","cardData":{"dataset_info":{"dataset_size":225223909,"download_size":105289541,"features":[{"dtype":"string","name":"texts"}],"splits":[{"name":"train","num_bytes":225223909,"num_examples":130958}]}},"createdAt":"2023-12-27T07:22:25.000Z","description":"\n\t\n\t\t\n\t\n... |
dataset | 0x7o/fialka-v5-data | null | dataset:0x7o/fialka-v5-data | 2026-09-26T21:58:28.694213+00:00 | https://huggingface.co/datasets/0x7o/fialka-v5-data | 0x7o | 2024-01-21T05:39:41.000Z | 2024-01-21T05:41:32.000Z | 5a2703f15f24fb27293ed12f11a0c969ecf09549 | null | [
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] | null | null | null | null | 27 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"65acae1d5c84d7d5e77d8419","author":"0x7o","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":545776152,"download_size":240235481,"features":[{"dtype":"string","name":"texts"}],"splits":[{"name":"train","num_bytes":545776152,"nu... |
dataset | 0x7o/gamio-ai-proposerLM-dataset | null | dataset:0x7o/gamio-ai-proposerLM-dataset | 2026-09-26T21:58:20.574952+00:00 | https://huggingface.co/datasets/0x7o/gamio-ai-proposerLM-dataset | 0x7o | 2023-11-21T09:29:02.000Z | 2023-11-21T09:29:20.000Z | ddc6bda731a29348cad7f485f3106b3aeab0924a | Dataset Card for "gamio-ai-proposerLM-dataset"
More Information needed | [
"format:parquet",
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"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:10K<n<100K"
] | null | null | null | null | 19 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"655c785edee377e06c26728e","author":"0x7o","cardData":{"dataset_info":{"dataset_size":11216047,"download_size":5393186,"features":[{"dtype":"string","name":"text"},{"dtype":"string","name":"label"}],"splits":[{"name":"train","num_bytes":11216047,"num_examples":10517}]}},"createdAt":"2023-11-21T09:29:02.000Z","de... |
dataset | 0x7o/image-composer-gm-v1 | null | dataset:0x7o/image-composer-gm-v1 | 2026-09-26T21:59:02.074126+00:00 | https://huggingface.co/datasets/0x7o/image-composer-gm-v1 | 0x7o | 2024-08-04T06:15:50.000Z | 2024-08-04T06:15:56.000Z | 45151555d95fce4f85a6e762b68c4e87bdb805c8 | null | [
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] | null | null | null | null | 9 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"66af1c9676044810f5541a99","author":"0x7o","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":9917417,"download_size":5397437,"features":[{"dtype":"string","name":"text"},{"dtype":"string","name":"output"}],"splits":[{"name":"tr... |
dataset | 0x7o/klara-voice | null | dataset:0x7o/klara-voice | 2026-09-26T21:58:37.645549+00:00 | https://huggingface.co/datasets/0x7o/klara-voice | 0x7o | 2024-03-10T09:32:38.000Z | 2024-03-10T09:45:01.000Z | 87892a481ca89cba6b626f0f253b023f872baabc | Klara Voice Dataset
Total length of dataset:
32.57 hours
Average audio length:
4.02 seconds
Maximum length:
22.52 seconds | [
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] | mit | null | null | null | 37 | 7 | auto | false | [] | base_model | [] | [] | [] | {"_id":"65ed7e36df813b9c15e21283","author":"0x7o","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":8736190036.812,"download_size":10256327673,"features":[{"dtype":"audio","name":"audio"},{"dtype":"string","name":"text"}],"splits":[{"... |
dataset | 0x7o/klara-voice-merged | null | dataset:0x7o/klara-voice-merged | 2026-09-26T21:58:37.645549+00:00 | https://huggingface.co/datasets/0x7o/klara-voice-merged | 0x7o | 2024-03-10T10:02:15.000Z | 2024-03-10T10:08:40.000Z | e5f7f8a180cbe64a869ce2fb9e6ee97b4ff62f06 | null | [
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dataset | 0x7o/oasst-ru-dpo-v1 | null | dataset:0x7o/oasst-ru-dpo-v1 | 2026-09-26T21:58:24.146207+00:00 | https://huggingface.co/datasets/0x7o/oasst-ru-dpo-v1 | 0x7o | 2023-12-27T10:13:54.000Z | 2023-12-27T10:13:58.000Z | 56af31c2bb770371974508a47b3e8193a73dc3af | Dataset Card for "oasst-ru-dpo-v1"
More Information needed | [
"format:parquet",
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"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 24 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"658bf8e27a006cce465d44f1","author":"0x7o","cardData":{"dataset_info":{"dataset_size":3847248,"download_size":1926633,"features":[{"dtype":"string","name":"prompt"},{"dtype":"string","name":"chosen"},{"dtype":"string","name":"rejected"}],"splits":[{"name":"train","num_bytes":3847248,"num_examples":1322}]}},"crea... |
dataset | 0x7o/oasst-ru-dpo-v1-rm | null | dataset:0x7o/oasst-ru-dpo-v1-rm | 2026-09-26T21:58:25.722837+00:00 | https://huggingface.co/datasets/0x7o/oasst-ru-dpo-v1-rm | 0x7o | 2024-01-05T05:08:34.000Z | 2024-01-05T05:08:38.000Z | 65c2bda22afb791db0e8ada58a82e6feafd7cfec | Dataset Card for "oasst-ru-dpo-v1-rm"
More Information needed | [
"format:parquet",
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"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 15 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"65978ed2260bcd5fb53b5cd5","author":"0x7o","cardData":{"dataset_info":{"dataset_size":4156762,"download_size":2044528,"features":[{"dtype":"string","name":"chosen"},{"dtype":"string","name":"rejected"}],"splits":[{"name":"train","num_bytes":4156762,"num_examples":1322}]}},"createdAt":"2024-01-05T05:08:34.000Z","... |
dataset | 0x7o/oasst2-best | null | dataset:0x7o/oasst2-best | 2026-09-26T21:58:24.146207+00:00 | https://huggingface.co/datasets/0x7o/oasst2-best | 0x7o | 2023-12-25T08:21:10.000Z | 2023-12-25T08:22:56.000Z | 0cb3f6bb62505d8c89bc21719e71180f2b319179 | Dataset Card for "oasst2-best"
More Information needed | [
"format:parquet",
"language:en",
"language:ru",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
"modality:text",
"region:us",
"size_categories:1K<n<10K",
"task_categories:text-generation"
] | apache-2.0 | null | null | null | 9 | 3 | false | false | [] | base_model | [] | [] | [] | {"_id":"65893b76b2177de396abdb87","author":"0x7o","cardData":{"dataset_info":{"dataset_size":14811588,"download_size":8135642,"features":[{"dtype":"string","name":"prompts"}],"splits":[{"name":"train","num_bytes":14811588,"num_examples":6504}]},"language":["en","ru"],"license":"apache-2.0","size_categories":["1K<n<10K"... |
dataset | 0x7o/oasst2-best-ru | null | dataset:0x7o/oasst2-best-ru | 2026-09-26T21:58:24.146207+00:00 | https://huggingface.co/datasets/0x7o/oasst2-best-ru | 0x7o | 2023-12-25T08:49:15.000Z | 2023-12-26T05:19:18.000Z | 214c236785090d95e6655ba0e6b3e73cd5f60c86 | Dataset Card for "oasst2-best-ru"
More Information needed | [
"format:parquet",
"language:ru",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
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"region:us",
"size_categories:1K<n<10K",
"task_categories:text-generation"
] | apache-2.0 | null | null | null | 15 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6589420b6b17c06872dc14a7","author":"0x7o","cardData":{"dataset_info":{"dataset_size":3746950,"download_size":1806207,"features":[{"dtype":"string","name":"texts"}],"splits":[{"name":"train","num_bytes":3746950,"num_examples":1246}]},"language":["ru"],"license":"apache-2.0","size_categories":["1K<n<10K"],"task_c... |
dataset | 0x7o/oasst2-best-ru-chatml | null | dataset:0x7o/oasst2-best-ru-chatml | 2026-09-26T21:58:47.700433+00:00 | https://huggingface.co/datasets/0x7o/oasst2-best-ru-chatml | 0x7o | 2024-05-10T05:38:15.000Z | 2024-05-10T05:38:19.000Z | 2cce73e4ae8136975e3aeeed76688db721e4e332 | null | [
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] | null | null | null | null | 13 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"663db2c707b1bb2ac7251845","author":"0x7o","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":3811266,"download_size":1816915,"features":[{"dtype":"string","name":"text"}],"splits":[{"name":"train","num_bytes":3811266,"num_examp... |
dataset | 0x7o/oasst2-ru-ppo | null | dataset:0x7o/oasst2-ru-ppo | 2026-09-26T21:58:24.146207+00:00 | https://huggingface.co/datasets/0x7o/oasst2-ru-ppo | 0x7o | 2023-12-25T07:02:52.000Z | 2023-12-26T05:19:49.000Z | e0052fbd16cb9d433639543da5f2010fccc7cc76 | OASST-RU-PPO Dataset
Description
The oasst-ru-ppo dataset is designed for optimizing language models using Proximal Policy Optimization (PPO). It is specifically tailored for Russian language models and is created from a collection of dialogues with associated rewards.
Dataset Creation
... | [
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"task_categories:text-generation"
] | apache-2.0 | null | null | null | 14 | 3 | false | false | [] | base_model | [] | [] | [] | {"_id":"6589291ca6854f9e1f740a98","author":"0x7o","cardData":{"dataset_info":{"dataset_size":15805437,"download_size":7568450,"features":[{"dtype":"string","name":"text"},{"dtype":"float64","name":"reward"}],"splits":[{"name":"train","num_bytes":15805437,"num_examples":5946}]},"language":["ru"],"license":"apache-2.0","... |
dataset | 0x7o/panorama | null | dataset:0x7o/panorama | 2026-09-26T21:58:41.160597+00:00 | https://huggingface.co/datasets/0x7o/panorama | 0x7o | 2024-03-31T09:59:05.000Z | 2024-03-31T10:00:26.000Z | d902eeab1466d8d259c9b7e95c30a8ce0e4adc90 | null | [
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] | null | null | null | null | 12 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"660933e957b37370691b164a","author":"0x7o","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":35059524,"download_size":18789708,"features":[{"dtype":"string","name":"title"},{"dtype":"string","name":"text"}],"splits":[{"name":"t... |
dataset | 0x7o/panorama-prompt | null | dataset:0x7o/panorama-prompt | 2026-09-26T21:58:41.160597+00:00 | https://huggingface.co/datasets/0x7o/panorama-prompt | 0x7o | 2024-03-31T10:22:04.000Z | 2024-04-05T10:02:00.000Z | 1fb079860d90163e502c85dad26f52d0421fec76 | null | [
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"size_categories:10K<n<100K"
] | null | null | null | null | 21 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6609394ca276be904a26a9a0","author":"0x7o","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":35312946,"download_size":18492653,"features":[{"dtype":"string","name":"text"}],"splits":[{"name":"train","num_bytes":35312946,"num_ex... |
dataset | 0x7o/persona-data-v1 | null | dataset:0x7o/persona-data-v1 | 2026-09-26T21:58:26.268074+00:00 | https://huggingface.co/datasets/0x7o/persona-data-v1 | 0x7o | 2024-01-09T08:54:47.000Z | 2024-01-09T08:54:56.000Z | ab2eaaf719685fc31de4cbc9928e26d7871c21c5 | null | [
"format:parquet",
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] | null | null | null | null | 7 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"659d09d7ea742fe5dea104cc","author":"0x7o","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":33224951,"download_size":16034338,"features":[{"dtype":"string","name":"texts"}],"splits":[{"name":"train","num_bytes":33224951,"num_e... |
dataset | 0x7o/pippa_hf | null | dataset:0x7o/pippa_hf | 2026-09-26T21:59:06.343339+00:00 | https://huggingface.co/datasets/0x7o/pippa_hf | 0x7o | 2024-08-26T10:16:05.000Z | 2024-08-27T10:53:12.000Z | dec9aed8e601de216216720146586b912431a1be | null | [
"format:parquet",
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"library:pandas",
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"modality:text",
"not-for-all-audiences",
"region:us",
"size_categories:10K<n<100K"
] | null | null | null | null | 11 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"66cc55e508d6a18e4ec49762","author":"0x7o","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":226874545,"download_size":113824369,"features":[{"dtype":"timestamp[ms]","name":"submission_timestamp"},{"name":"categories","sequence... |
dataset | 0x7o/poemma-10k | null | dataset:0x7o/poemma-10k | 2026-09-26T21:59:20.511517+00:00 | https://huggingface.co/datasets/0x7o/poemma-10k | 0x7o | 2024-11-07T12:55:10.000Z | 2024-11-08T13:22:41.000Z | d9f17677aa37207705daa8a86855b5b979b6122e | Poemma 10K
Dataset for naturalisations of language model outputs in the domain of poems. | [
"dpo",
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"region:us",
"size_categories:10K<n<100K"
] | apache-2.0 | null | null | null | 54 | 5 | false | false | [] | base_model | [] | [] | [] | {"_id":"672cb8ae4efad666d25f7a5f","author":"0x7o","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":31472882,"download_size":16178088,"features":[{"dtype":"string","name":"title"},{"dtype":"string","name":"author"},{"dtype":"string","... |
dataset | 0x7o/poemma-10k-argilla-5596 | null | dataset:0x7o/poemma-10k-argilla-5596 | 2026-09-26T21:59:48.955902+00:00 | https://huggingface.co/datasets/0x7o/poemma-10k-argilla-5596 | 0x7o | 2025-02-28T09:43:04.000Z | 2025-02-28T09:43:07.000Z | 3f3f61592647796b8ebd90a4d6d3a638ffc3b621 | null | [
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] | null | null | null | null | 9 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"67c185283abc42bb86756052","author":"0x7o","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":37863712,"download_size":19309447,"features":[{"list":[{"dtype":"string","name":"content"},{"dtype":"string","name":"role"}],"name":"c... |
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