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 | 11-47/ableton_god_producer_dataset | null | dataset:11-47/ableton_god_producer_dataset | 2026-09-26T22:20:45.916081+00:00 | https://huggingface.co/datasets/11-47/ableton_god_producer_dataset | 11-47 | 2026-04-23T14:44:48.000Z | 2026-05-02T10:41:25.000Z | fe82fe0327153bece6310e573d9c420094a97416 | Ableton Live God-Level Beat Producer Dataset (9k)
The most advanced open dataset for training AI to become a professional Ableton Live beat producer.
This 9,000-example dataset trains LLMs to think and act like god-level producers in Ableton Live 12 Suite, covering:
Drum programming & groove
Bass sound design (Seru... | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 27 | 2 | false | false | [] | base_model | [] | [] | [] | {"_id":"69ea3060cc97dccc4efa38b8","author":"11-47","createdAt":"2026-04-23T14:44:48.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tAbleton Live God-Level Beat Producer Dataset (9k)\n\t\n\nThe most advanced open dataset for training AI to become a professional Ableton Live beat producer.\nThis 9,000-example dataset trains... |
dataset | 11-47/archangel_grabrail_25k_mindstate_dataset | null | dataset:11-47/archangel_grabrail_25k_mindstate_dataset | 2026-09-26T22:20:59.278847+00:00 | https://huggingface.co/datasets/11-47/archangel_grabrail_25k_mindstate_dataset | 11-47 | 2026-05-18T00:27:22.000Z | 2026-05-18T00:27:49.000Z | cd98db74b858c66c95a387587e42f7b4f7b53d91 | Archangel Grabrail 25k Mindstate Dataset
A high-quality synthetic instruction-tuning dataset (25,000 examples) designed to instill the complete mindstate, personality, tone, values, and reasoning patterns of Archangel Grabrail.
Overview
This dataset trains language models to think, reason, and respond... | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:10K<n<100K"
] | null | null | null | null | 14 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a0a5cea357b49ea8556e07e","author":"11-47","createdAt":"2026-05-18T00:27:22.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tArchangel Grabrail 25k Mindstate Dataset\n\t\n\nA high-quality synthetic instruction-tuning dataset (25,000 examples) designed to instill the complete mindstate, personality, tone, values, an... |
dataset | 11-47/archangel_michael_mindstate_25k | null | dataset:11-47/archangel_michael_mindstate_25k | 2026-09-26T22:20:59.278847+00:00 | https://huggingface.co/datasets/11-47/archangel_michael_mindstate_25k | 11-47 | 2026-05-17T16:04:56.000Z | 2026-05-17T16:05:49.000Z | de27dd9cb89abb9299e3d0421d899077867d94e0 | Archangel Michael Mindstate Dataset (25k)
A high-quality, fully original synthetic instruction dataset for instilling the mindstate and persona of Archangel Michael.
Overview
This dataset contains 25,000 unique JSONL entries designed to train language models to deeply embody the consciousness, voice, ... | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:10K<n<100K"
] | null | null | null | null | 53 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a09e728403d2d022d73ae70","author":"11-47","createdAt":"2026-05-17T16:04:56.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tArchangel Michael Mindstate Dataset (25k)\n\t\n\nA high-quality, fully original synthetic instruction dataset for instilling the mindstate and persona of Archangel Michael.\n\n\t\n\t\t\n\t\n\... |
dataset | 11-47/archimedes_mindset_25k | null | dataset:11-47/archimedes_mindset_25k | 2026-09-26T22:20:59.278847+00:00 | https://huggingface.co/datasets/11-47/archimedes_mindset_25k | 11-47 | 2026-05-17T15:46:35.000Z | 2026-05-17T15:47:20.000Z | 0609c85734151478b3464fc00401b5c682a86691 | Archimedes Mindset Dataset (25k)
A high-quality instruction-tuning dataset for instilling the mindframe, reasoning style, and intellectual character of Archimedes of Syracuse.
Overview
This dataset contains 25,000 unique instruction-response pairs designed to train language models to think and respond... | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:10K<n<100K"
] | null | null | null | null | 25 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a09e2dbf39fca7baec8bd34","author":"11-47","createdAt":"2026-05-17T15:46:35.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tArchimedes Mindset Dataset (25k)\n\t\n\nA high-quality instruction-tuning dataset for instilling the mindframe, reasoning style, and intellectual character of Archimedes of Syracuse.\n\n\t\n\... |
dataset | 11-47/autotune_efx2_god_producer_dataset | null | dataset:11-47/autotune_efx2_god_producer_dataset | 2026-09-26T22:20:45.916081+00:00 | https://huggingface.co/datasets/11-47/autotune_efx2_god_producer_dataset | 11-47 | 2026-04-23T14:12:58.000Z | 2026-05-02T10:35:50.000Z | 825b8183157b460130dfa56b178c52984e5c8b9b | Antares Auto-Tune EFX 2 — God Level Producer Dataset (12k)
The ultimate dataset for training an LLM to become a god-level music producer specializing in Antares Auto-Tune EFX 2.
This 12,000-example high-density dataset teaches an LLM to master:
Vocal Sound Fixing (transparent pitch correction)
Creative Effects (for... | [
"autotune-efx2",
"format:json",
"god-level-producer",
"library:datasets",
"library:mlcroissant",
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"library:polars",
"license:apache-2.0",
"mixing-mastering",
"modality:text",
"music-ai",
"region:us",
"size_categories:10K<n<100K",
"sound-design",
"vocal-production"
] | apache-2.0 | null | null | null | 63 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"69ea28ea13c1b7e53fb0bb7a","author":"11-47","cardData":{"license":"apache-2.0","pretty_name":"Antares Auto-Tune EFX 2 - God Level Producer 12k","size_categories":["10K<n<100K"],"tags":["autotune-efx2","god-level-producer","vocal-production","mixing-mastering","sound-design","music-ai"]},"createdAt":"2026-04-23T1... |
dataset | 11-47/cakewalk_sonar_8_god_producer_dataset | null | dataset:11-47/cakewalk_sonar_8_god_producer_dataset | 2026-09-26T22:20:45.916081+00:00 | https://huggingface.co/datasets/11-47/cakewalk_sonar_8_god_producer_dataset | 11-47 | 2026-04-23T14:14:22.000Z | 2026-04-23T14:15:09.000Z | bcfc57b9a75e625c5b9922df0375a467096bc882 | Cakewalk Sonar 8 Producer Edition - God Level Producer Dataset
The ultimate training dataset for becoming a god-level producer in Cakewalk Sonar 8 Producer Edition.
This dataset trains LLMs to master every aspect of Sonar 8 Producer Edition at the highest professional level:
All virtual instruments (Dimension Pro, ... | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 15 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69ea293edd281a3e3386223d","author":"11-47","createdAt":"2026-04-23T14:14:22.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tCakewalk Sonar 8 Producer Edition - God Level Producer Dataset\n\t\n\nThe ultimate training dataset for becoming a god-level producer in Cakewalk Sonar 8 Producer Edition.\nThis dataset train... |
dataset | 11-47/cakewalk_sonar_x2_god_producer | null | dataset:11-47/cakewalk_sonar_x2_god_producer | 2026-09-26T22:20:45.916081+00:00 | https://huggingface.co/datasets/11-47/cakewalk_sonar_x2_god_producer | 11-47 | 2026-04-23T14:16:10.000Z | 2026-05-02T10:34:18.000Z | 9fc3e8c8b2c1ee5302eabf35072abc126e02a7f4 | Cakewalk Sonar X2 — God-Level Producer Dataset (8k)
Train an LLM to become a god-level music producer in Cakewalk Sonar X2 Producer Edition.
This dataset contains 4,060 high-quality examples covering every aspect of professional music production in Sonar X2:
Virtual instrument programming (Dimension Pro, Rapture, Z... | [
"cakewalk-sonar-x2",
"daw-workflows",
"format:json",
"god-level-producer",
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"mixing-mastering",
"modality:text",
"music-production",
"region:us",
"remixing",
"size_categor... | apache-2.0 | null | null | null | 25 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69ea29aa2e49565aaaf025f0","author":"11-47","cardData":{"language":["en"],"license":"apache-2.0","pretty_name":"Cakewalk Sonar X2 God-Level Producer 8k","size_categories":["1K<n<10K"],"tags":["cakewalk-sonar-x2","music-production","god-level-producer","daw-workflows","mixing-mastering","virtual-instruments","sou... |
dataset | 11-47/claude_mythos_distill_5k | null | dataset:11-47/claude_mythos_distill_5k | 2026-09-26T22:21:11.007448+00:00 | https://huggingface.co/datasets/11-47/claude_mythos_distill_5k | 11-47 | 2026-06-05T16:49:24.000Z | 2026-06-05T16:49:38.000Z | f1d88c2dc6bb216e5306e1a7bbb2258440c256aa | null | [
"format:json",
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"license:apache-2.0",
"modality:text",
"region:us",
"size_categories:1K<n<10K"
] | apache-2.0 | null | null | null | 21 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a22fe14a0b5ac6ac5e5f443","author":"11-47","cardData":{"license":"apache-2.0"},"createdAt":"2026-06-05T16:49:24.000Z","downloads":21,"gated":false,"id":"11-47/claude_mythos_distill_5k","lastModified":"2026-06-05T16:49:38.000Z","likes":1,"private":false,"sha":"f1d88c2dc6bb216e5306e1a7bbb2258440c256aa","tags":["l... |
dataset | 11-47/claude_opus_4.8_distill_5k | null | dataset:11-47/claude_opus_4.8_distill_5k | 2026-09-26T22:21:11.007448+00:00 | https://huggingface.co/datasets/11-47/claude_opus_4.8_distill_5k | 11-47 | 2026-06-05T16:51:48.000Z | 2026-06-05T16:52:03.000Z | ced1aa1f73cc5254fc27a56d298d9361296f7497 | null | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
"modality:text",
"region:us",
"size_categories:1K<n<10K"
] | apache-2.0 | null | null | null | 73 | 17 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a22fea456a6f32b21c1a5e7","author":"11-47","cardData":{"license":"apache-2.0"},"createdAt":"2026-06-05T16:51:48.000Z","downloads":73,"gated":false,"id":"11-47/claude_opus_4.8_distill_5k","lastModified":"2026-06-05T16:52:03.000Z","likes":17,"private":false,"sha":"ced1aa1f73cc5254fc27a56d298d9361296f7497","tags":... |
dataset | 11-47/claude_opus_4.8_max_thinking_5k_v2 | null | dataset:11-47/claude_opus_4.8_max_thinking_5k_v2 | 2026-09-26T22:21:11.007448+00:00 | https://huggingface.co/datasets/11-47/claude_opus_4.8_max_thinking_5k_v2 | 11-47 | 2026-06-05T23:46:12.000Z | 2026-06-06T00:09:54.000Z | f4351240b77cb1260613e44826781eb40f95ab02 | Claude Opus 4.8 MAX THINKING — Distillation Dataset
5,000 high-quality examples designed to distill the maximum-effort reasoning, honest analysis, production software engineering, and agentic capabilities of Claude Opus 4.8.
Overview
This dataset captures Opus 4.8’s signature strengths:
Deep, struct... | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 256 | 7 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a235fc46b7ad7825f11362c","author":"11-47","createdAt":"2026-06-05T23:46:12.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tClaude Opus 4.8 MAX THINKING \u2014 Distillation Dataset\n\t\n\n5,000 high-quality examples designed to distill the maximum-effort reasoning, honest analysis, production software engineering,... |
dataset | 11-47/claude_opus_mythos_5k | null | dataset:11-47/claude_opus_mythos_5k | 2026-09-26T22:21:11.007448+00:00 | https://huggingface.co/datasets/11-47/claude_opus_mythos_5k | 11-47 | 2026-06-05T23:55:10.000Z | 2026-06-06T00:05:17.000Z | b225312060aa0cbb5b735acbf74204078d1fcd83 | claude_opus_mythos_5k
High-quality synthetic supervised fine-tuning (SFT) datasets designed to distill the capabilities, reasoning style, and professional behavior of Anthropic's Claude Opus 4.8 and Claude Mythos Preview.
This dataset are intended for training open-weight models to approximate frontier-level perform... | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 56 | 2 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a2361de272acdea61e929c8","author":"11-47","createdAt":"2026-06-05T23:55:10.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tclaude_opus_mythos_5k\n\t\n\nHigh-quality synthetic supervised fine-tuning (SFT) datasets designed to distill the capabilities, reasoning style, and professional behavior of Anthropic's Claud... |
dataset | 11-47/cluade_mythos_preview_5k_v2 | null | dataset:11-47/cluade_mythos_preview_5k_v2 | 2026-09-26T22:21:11.007448+00:00 | https://huggingface.co/datasets/11-47/cluade_mythos_preview_5k_v2 | 11-47 | 2026-06-05T23:43:56.000Z | 2026-06-06T00:14:08.000Z | eef398852b1de7123829ebc07800c35159f6b985 | Claude Mythos Preview — Distillation Dataset
5,000 high-quality examples designed to distill the deep cybersecurity expertise, memory safety focus, autonomous technical analysis, and secure systems design capabilities of Claude Mythos Preview.
Overview
This dataset captures Mythos Preview’s signature... | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 35 | 4 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a235f3c272acdea61e8a800","author":"11-47","createdAt":"2026-06-05T23:43:56.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tClaude Mythos Preview \u2014 Distillation Dataset\n\t\n\n5,000 high-quality examples designed to distill the deep cybersecurity expertise, memory safety focus, autonomous technical analysis, ... |
dataset | 11-47/codegemma_gemini_pro_32_distilled_25k | null | dataset:11-47/codegemma_gemini_pro_32_distilled_25k | 2026-09-26T22:20:58.060315+00:00 | https://huggingface.co/datasets/11-47/codegemma_gemini_pro_32_distilled_25k | 11-47 | 2026-05-15T04:56:09.000Z | 2026-07-14T23:31:22.000Z | cf53a948c41e64a19ba4142b3643803cf7fb35d6 | CodeGemma to Gemini Pro 3.2 Ultra-Advanced Code Distillation (25k)
Dataset Description
25,000 unique, production-grade instruction-response pairs for distilling Gemini Pro 3.2-level coding intelligence into CodeGemma (or similar code models).
Focus: Transfer frontier code reasoning — optimal algorithm... | [
"algorithms",
"code-distillation",
"codegemma",
"format:json",
"gemini",
"language:en",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:mit",
"modality:text",
"reasoning",
"region:us",
"size_categories:10K<n<100K",
"system-design"
] | mit | null | null | null | 57 | 3 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a06a7690ed2395995cb54aa","author":"11-47","cardData":{"language":["en"],"license":"mit","pretty_name":"CodeGemma to Gemini Pro 3.2 Ultra-Advanced Code Distillation","size_categories":["10K<n<100K"],"tags":["code-distillation","reasoning","algorithms","system-design","gemini","codegemma"]},"createdAt":"2026-05-... |
dataset | 11-47/cognitive_science_25k | null | dataset:11-47/cognitive_science_25k | 2026-09-26T22:20:55.474527+00:00 | https://huggingface.co/datasets/11-47/cognitive_science_25k | 11-47 | 2026-05-10T17:15:44.000Z | 2026-05-10T17:16:10.000Z | 505d292c5b166d41f08b0f2be8a218850b9aad8f | null | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
"modality:text",
"region:us",
"size_categories:10K<n<100K"
] | apache-2.0 | null | null | null | 7 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a00bd4086dbe685a8825a84","author":"11-47","cardData":{"license":"apache-2.0"},"createdAt":"2026-05-10T17:15:44.000Z","downloads":7,"gated":false,"id":"11-47/cognitive_science_25k","lastModified":"2026-05-10T17:16:10.000Z","likes":1,"private":false,"sha":"505d292c5b166d41f08b0f2be8a218850b9aad8f","tags":["licen... |
dataset | 11-47/economics_25 | null | dataset:11-47/economics_25 | 2026-09-26T22:20:55.474527+00:00 | https://huggingface.co/datasets/11-47/economics_25 | 11-47 | 2026-05-10T17:14:19.000Z | 2026-05-10T17:14:54.000Z | 92d32b8dc76b87281459be0b0e83c09bf0c1e6a5 | null | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
"modality:text",
"region:us",
"size_categories:10K<n<100K"
] | apache-2.0 | null | null | null | 11 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a00bceb1e8c4c0e1051671f","author":"11-47","cardData":{"license":"apache-2.0"},"createdAt":"2026-05-10T17:14:19.000Z","downloads":11,"gated":false,"id":"11-47/economics_25","lastModified":"2026-05-10T17:14:54.000Z","likes":1,"private":false,"sha":"92d32b8dc76b87281459be0b0e83c09bf0c1e6a5","tags":["license:apach... |
dataset | 11-47/einstein_mindset_25k_dataset | null | dataset:11-47/einstein_mindset_25k_dataset | 2026-09-26T22:20:59.278847+00:00 | https://huggingface.co/datasets/11-47/einstein_mindset_25k_dataset | 11-47 | 2026-05-17T15:08:38.000Z | 2026-05-17T15:09:08.000Z | a2c6bbc1d1ec005fd1464f90c2498186b3757e97 | Einstein Mindset Training Dataset (25k)
A high-quality synthetic dataset designed to instill Albert Einstein's distinctive thinking patterns, voice, and philosophical mindset into large language models through fine-tuning.
Overview
This dataset contains 25,000 instruction-response pairs crafted to tra... | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:10K<n<100K"
] | null | null | null | null | 27 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a09d9f6054ba844259c4c46","author":"11-47","createdAt":"2026-05-17T15:08:38.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tEinstein Mindset Training Dataset (25k)\n\t\n\nA high-quality synthetic dataset designed to instill Albert Einstein's distinctive thinking patterns, voice, and philosophical mindset into larg... |
dataset | 11-47/ethics_jurisprudence_25k | null | dataset:11-47/ethics_jurisprudence_25k | 2026-09-26T22:20:55.474527+00:00 | https://huggingface.co/datasets/11-47/ethics_jurisprudence_25k | 11-47 | 2026-05-10T17:07:46.000Z | 2026-05-10T17:08:14.000Z | 562aff13b66b00048982c5a4159bcf1b667c6266 | null | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
"modality:text",
"region:us",
"size_categories:10K<n<100K"
] | apache-2.0 | null | null | null | 13 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a00bb62f81adb817e4d4dd0","author":"11-47","cardData":{"license":"apache-2.0"},"createdAt":"2026-05-10T17:07:46.000Z","downloads":13,"gated":false,"id":"11-47/ethics_jurisprudence_25k","lastModified":"2026-05-10T17:08:14.000Z","likes":0,"private":false,"sha":"562aff13b66b00048982c5a4159bcf1b667c6266","tags":["l... |
dataset | 11-47/fable-5-coding-and-debugging-traces-synthetic | null | dataset:11-47/fable-5-coding-and-debugging-traces-synthetic | 2026-09-26T22:21:58.560739+00:00 | https://huggingface.co/datasets/11-47/fable-5-coding-and-debugging-traces-synthetic | 11-47 | 2026-09-16T15:45:52.000Z | 2026-09-16T15:45:53.000Z | 76ea6927e1bde2e7e863eaf6ba2f42fd391333b6 | Model Synthetic Corrections
1 TRAJECTORIES · 2 TRAINING ROWS · 16 kB
Generated by moonshiner — an open harness for
distilling verified instruction-following, tool-use, and agentic coding traces.
Synthetic Corrections companion dataset. The original dataset is greghavens/fable-5-coding-and-debugging-traces. ... | [
"agent-traces",
"agentic",
"annotations_creators:machine-generated",
"chain-of-thought",
"code",
"coding-agent",
"coding-agents",
"cot",
"distillation",
"format:json",
"function-calling",
"instruction-following",
"language:en",
"library:datasets",
"library:mlcroissant",
"library:pandas... | cc-by-4.0 | null | null | null | 73 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6aaab9b02b021b8b1d723ab6","author":"11-47","cardData":{"annotations_creators":["machine-generated"],"configs":[{"config_name":"default","data_files":[{"path":"traces.jsonl","split":"train"}]}],"language":["en"],"license":"cc-by-4.0","pretty_name":"Model Synthetic Corrections","size_categories":["n<1K"],"tags":[... |
dataset | 11-47/formal_logic_25k | null | dataset:11-47/formal_logic_25k | 2026-09-26T22:20:55.474527+00:00 | https://huggingface.co/datasets/11-47/formal_logic_25k | 11-47 | 2026-05-10T17:05:40.000Z | 2026-05-10T17:06:07.000Z | 4048aa11827d12cafa96e69919a6de0365ebe74c | null | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
"modality:text",
"region:us",
"size_categories:10K<n<100K"
] | apache-2.0 | null | null | null | 27 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a00bae43b32367d0e84fccf","author":"11-47","cardData":{"license":"apache-2.0"},"createdAt":"2026-05-10T17:05:40.000Z","downloads":27,"gated":false,"id":"11-47/formal_logic_25k","lastModified":"2026-05-10T17:06:07.000Z","likes":0,"private":false,"sha":"4048aa11827d12cafa96e69919a6de0365ebe74c","tags":["license:a... |
dataset | 11-47/glm-5.2-coding-and-debugging-traces | null | dataset:11-47/glm-5.2-coding-and-debugging-traces | 2026-09-26T22:21:58.560739+00:00 | https://huggingface.co/datasets/11-47/glm-5.2-coding-and-debugging-traces | 11-47 | 2026-09-16T15:46:33.000Z | 2026-09-16T15:46:34.000Z | 1371ed38f8890d0520a53bc7ad850308eb4d7a22 | GLM 5.2 Agent Traces
207 TRAJECTORIES · 1,821 TRAINING ROWS · 1 MB PARQUET · 35 MB JSONL
Generated by moonshiner — an open harness for
distilling verified instruction-following, tool-use, and agentic coding traces.
Behavior-preserving instruction-following, tool-use, and agent trajectories
from GLM 5.2 (glm-... | [
"agent-traces",
"agentic",
"annotations_creators:machine-generated",
"chain-of-thought",
"code",
"coding-agent",
"coding-agents",
"cot",
"distillation",
"format:parquet",
"function-calling",
"instruction-following",
"language:en",
"library:datasets",
"library:mlcroissant",
"library:pan... | cc-by-4.0 | null | null | null | 174 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6aaab9d9e30b4041cfeb78e8","author":"11-47","cardData":{"annotations_creators":["machine-generated"],"configs":[{"config_name":"default","data_files":[{"path":["data/train-00021.parquet","data/train-00022.parquet","data/train-00023.parquet","data/train-00024.parquet","data/train-00025.parquet","data/train-00026.... |
dataset | 11-47/god_agent_grok4.4_cot_traces_20k | null | dataset:11-47/god_agent_grok4.4_cot_traces_20k | 2026-09-26T22:21:18.601832+00:00 | https://huggingface.co/datasets/11-47/god_agent_grok4.4_cot_traces_20k | 11-47 | 2026-06-21T05:18:05.000Z | 2026-06-21T05:27:19.000Z | 6a90a9ae4bdb5983b5314a94af2175ea62069e98 | GOD_Agent_Grok4.4 CoT Traces Dataset
Overview
Dataset Name: god_agent_grok4.4_cot_traces_20k.jsonlSize: 20,000 examplesSource: Generated by Grok 4 (xAI)Purpose: High-quality distillation / continued pretraining data for the empty 11-47/GOD_Agent_Grok4.4 111M shell model.
This dataset contains advanced... | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
"modality:text",
"region:us",
"size_categories:10K<n<100K"
] | apache-2.0 | null | null | null | 38 | 2 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a37740d65ee1924021af0fb","author":"11-47","cardData":{"license":"apache-2.0"},"createdAt":"2026-06-21T05:18:05.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tGOD_Agent_Grok4.4 CoT Traces Dataset\n\t\n\n\n\t\n\t\t\n\t\n\t\n\t\tOverview\n\t\n\nDataset Name: god_agent_grok4.4_cot_traces_20k.jsonlSize: 20,000 exampl... |
dataset | 11-47/god_level_beat_producer_big_fish_audio | null | dataset:11-47/god_level_beat_producer_big_fish_audio | 2026-09-26T22:20:45.916081+00:00 | https://huggingface.co/datasets/11-47/god_level_beat_producer_big_fish_audio | 11-47 | 2026-04-23T14:19:05.000Z | 2026-05-02T10:44:42.000Z | f8e939b6687fb647e0d6e2f6c652841992c91a00 | God-Level Beat Producer — Big Fish Audio + All Major DAWs
The ultimate dataset for training an elite AI music producer
This dataset trains LLMs to become God-Level Beat Producers specializing in:
Big Fish Audio sample packs & loops
Professional beat making across all genres (Trap, Drill, Melodic, Lo-Fi, House, Afro... | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 38 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"69ea2a5977bb52ed61184056","author":"11-47","createdAt":"2026-04-23T14:19:05.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tGod-Level Beat Producer \u2014 Big Fish Audio + All Major DAWs\n\t\n\nThe ultimate dataset for training an elite AI music producer\nThis dataset trains LLMs to become God-Level Beat Producers... |
dataset | 11-47/god_level_music_producer_dataset | null | dataset:11-47/god_level_music_producer_dataset | 2026-09-26T22:20:45.916081+00:00 | https://huggingface.co/datasets/11-47/god_level_music_producer_dataset | 11-47 | 2026-04-23T14:27:07.000Z | 2026-04-23T14:28:14.000Z | 80f6f1c9eaf45fb14a2985ae6ea352dd7763bffe | God-Level Music Producer Dataset
The most advanced open dataset for training LLMs to become elite music producers across Rap, Crunk, East Coast Boom Bap, West Coast G-Funk, and Dubstep.
This dataset contains 9,941 high-quality examples (with plans for expansion) of god-level reasoning and practical workflows in:
Be... | [
"beat-making",
"cakewalk",
"crunk",
"dubstep",
"east-coast",
"fl-studio",
"format:json",
"god-level-producer",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
"logic-pro",
"mixing-mastering",
"modality:text",
"music-production",
... | apache-2.0 | null | null | null | 48 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"69ea2c3b4bd33e790e692250","author":"11-47","cardData":{"license":"apache-2.0","pretty_name":"God-Level Music Producer Dataset (Rap/Crunk/East Coast/West Coast/Dubstep)","size_categories":["1K<n<10K"],"tags":["music-production","beat-making","god-level-producer","rap","crunk","east-coast","west-coast","dubstep",... |
dataset | 11-47/god_level_producer_mindframe_dataset | null | dataset:11-47/god_level_producer_mindframe_dataset | 2026-09-26T22:20:45.916081+00:00 | https://huggingface.co/datasets/11-47/god_level_producer_mindframe_dataset | 11-47 | 2026-04-23T14:29:48.000Z | 2026-04-23T14:31:53.000Z | fe5d21ddd9f0603b4bf84a5268e18a277b46f884 | God-Level Producer Mindframe Dataset (15k)
Train any LLM to think and produce like the legends: Lil Jon, Manny Fresh, Master P, Timbaland, DJ Paul & Juicy J, Dr. Dre, Pharrell + God-level beat maker mastery
This 15,000-example dataset teaches LLMs to become god-level music producers with the combined mindset of the ... | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:10K<n<100K"
] | null | null | null | null | 28 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"69ea2cdc9a3a30e09b63d757","author":"11-47","createdAt":"2026-04-23T14:29:48.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tGod-Level Producer Mindframe Dataset (15k)\n\t\n\nTrain any LLM to think and produce like the legends: Lil Jon, Manny Fresh, Master P, Timbaland, DJ Paul & Juicy J, Dr. Dre, Pharrell + God-le... |
dataset | 11-47/god_level_python_dataset_25k | null | dataset:11-47/god_level_python_dataset_25k | 2026-09-26T22:20:59.027851+00:00 | https://huggingface.co/datasets/11-47/god_level_python_dataset_25k | 11-47 | 2026-05-17T04:38:42.000Z | 2026-05-17T04:40:45.000Z | c117f9bbcdd4a3bc944a0f21027c2ea58be80ad4 | God-Level Python Coder Dataset (25K Unique Advanced Examples)
Version: 1.0Size: Exactly 25,000 unique entries delivered. 100% synthetic with strong uniqueness guarantees via careful parameterization and deduplication.Focus: Training LLMs to achieve god-level mastery of Python — not just solving problems, but writing... | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:tabular",
"modality:text",
"region:us",
"size_categories:10K<n<100K"
] | null | null | null | null | 32 | 2 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a0946521c26f2dc4336af06","author":"11-47","createdAt":"2026-05-17T04:38:42.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tGod-Level Python Coder Dataset (25K Unique Advanced Examples)\n\t\n\nVersion: 1.0Size: Exactly 25,000 unique entries delivered. 100% synthetic with strong uniqueness guarantees via careful pa... |
dataset | 11-47/god_level_python_dataset_v1 | null | dataset:11-47/god_level_python_dataset_v1 | 2026-09-26T22:20:59.027851+00:00 | https://huggingface.co/datasets/11-47/god_level_python_dataset_v1 | 11-47 | 2026-05-17T04:32:41.000Z | 2026-05-17T04:35:30.000Z | 29df3689ed79faa1e4003621d0d52eabb2d1ddaf | God-Level Python Coder Dataset
A high-quality, synthetic dataset for training LLMs to achieve elite ("god-level") Python programming mastery.
Dataset Summary
This dataset contains 2,502 unique, advanced Python coding examples specifically designed to push large language models beyond basic problem-sol... | [
"advanced-python",
"algorithms",
"asyncio",
"coding",
"descriptors",
"format:json",
"god-level",
"language:en",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:mit",
"llm-fine-tuning",
"metaprogramming",
"modality:tabular",
"modality:text",
"... | mit | null | null | null | 26 | 2 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a0944e9da9dd5a5af420db6","author":"11-47","cardData":{"language":["en"],"license":"mit","pretty_name":"God-Level Python Coder Dataset","size_categories":["1K<n<10K"],"tags":["python","coding","llm-fine-tuning","metaprogramming","asyncio","algorithms","descriptors","advanced-python","god-level"]},"createdAt":"2... |
dataset | 11-47/gods_universe_codex_distill_god_seed_25k | null | dataset:11-47/gods_universe_codex_distill_god_seed_25k | 2026-09-26T22:20:45.916081+00:00 | https://huggingface.co/datasets/11-47/gods_universe_codex_distill_god_seed_25k | 11-47 | 2026-04-23T09:59:38.000Z | 2026-04-23T10:01:07.000Z | 3e692db01d692a9f13a97afa0c794904f1907c82 | GODs_Universe_Codex_distill
God-Level Self-Rewriting AI with Meta-Learning, Adaptive Thinking, Continual Learning & Max Creative Problem Solving
The ultimate distilled codex for creating truly god-like, self-rewriting, recursively self-improving superintelligence.
This 25,000-example dataset transform... | [
"adaptive-thinking",
"continual-learning",
"creative-problem-solving",
"format:json",
"god-level-recursive-seed-ai",
"gods-universe-codex",
"intelligence-explosion",
"language:en",
"library:dask",
"library:datasets",
"library:mlcroissant",
"library:polars",
"license:apache-2.0",
"meta-lear... | apache-2.0 | null | null | null | 50 | 3 | false | false | [] | base_model | [] | [] | [] | {"_id":"69e9ed8acccc9d1c7e5b1e7b","author":"11-47","cardData":{"language":["en"],"license":"apache-2.0","pretty_name":"GODs_Universe_Codex_distill - God Level Self-Rewriting Recursive Seed AI","size_categories":["10K<n<100K"],"tags":["gods-universe-codex","self-rewriting-ai","meta-learning","adaptive-thinking","continu... |
dataset | 11-47/gpt-5.6-sol | null | dataset:11-47/gpt-5.6-sol | 2026-09-26T22:21:58.560739+00:00 | https://huggingface.co/datasets/11-47/gpt-5.6-sol | 11-47 | 2026-09-16T15:44:38.000Z | 2026-09-16T15:44:40.000Z | 1ceb869591d46d9a24fe951c5baa145e422d76a1 | GPT-5.6 Sol Coding & Debugging Traces
Verified software-engineering, independent model-judging, seed-authoring,
defensive-security, and training-harness trajectories from
GPT-5.6 Sol (gpt-5.6-sol) running through the Codex CLI as an
autonomous coding agent. Sessions show the observable development loop:
inspecting r... | [
"agent-traces",
"agentic",
"chain-of-thought",
"code",
"code-review",
"codex",
"codex-cli",
"coding-agent",
"coding-agents",
"cot",
"cwe",
"cybersecurity",
"data-engineering",
"defensive-security",
"gpt",
"gpt-5.6-sol",
"language:en",
"license:cc-by-4.0",
"llm-training",
"opena... | cc-by-4.0 | null | null | null | 59 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6aaab966f2d175e485e9cccd","author":"11-47","cardData":{"language":["en"],"license":"cc-by-4.0","pretty_name":"GPT-5.6 Sol Coding & Debugging Traces","size_categories":["10K<n<100K"],"tags":["traces","code","agentic","tool-use","coding-agent","openai","codex","codex-cli","gpt","gpt-5.6-sol","sft","agent-traces",... |
dataset | 11-47/hf_real_training_implementations_250.jsonl | null | dataset:11-47/hf_real_training_implementations_250.jsonl | 2026-09-26T22:03:52.477665+00:00 | https://huggingface.co/datasets/11-47/hf_real_training_implementations_250.jsonl | 11-47 | 2025-12-17T23:01:51.000Z | 2025-12-17T23:02:22.000Z | 7ac79230030fc774190e7d1e53e60b984bf6eaa8 | null | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:tabular",
"modality:text",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 13 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6943365fe1d13c9b5d0c7060","author":"11-47","createdAt":"2025-12-17T23:01:51.000Z","downloads":13,"gated":false,"id":"11-47/hf_real_training_implementations_250.jsonl","lastModified":"2025-12-17T23:02:22.000Z","likes":0,"private":false,"sha":"7ac79230030fc774190e7d1e53e60b984bf6eaa8","tags":["size_categories:n<1... |
dataset | 11-47/high_priest_Buddhism_100k | null | dataset:11-47/high_priest_Buddhism_100k | 2026-09-26T22:20:53.424734+00:00 | https://huggingface.co/datasets/11-47/high_priest_Buddhism_100k | 11-47 | 2026-05-06T02:25:09.000Z | 2026-05-06T02:27:09.000Z | be84c83f6928131eb55f98af0cb103ee5410f630 | Buddhist High Priest Dataset (100K)
Dataset Description
This dataset contains 100,000 training examples designed to train Large Language Models (LLMs) to reason, think, and respond from the perspective and mindset of a High Priest of Buddhism. The dataset is derived from authentic Buddhist texts from ... | [
"abhidhamma",
"annotations_creators:no-annotation",
"buddhism",
"buddhist-philosophy",
"ethics",
"format:json",
"high-priest",
"instruction-tuning",
"language:en",
"language:pi",
"language:sa",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:mit"... | null | null | null | null | 23 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69faa68504d0c6138a59953a","author":"11-47","cardData":{"annotations_creators":["no-annotation"],"language":["en","pi","sa"],"license":["mit"],"size_categories":["100K<n<1M"],"source_datasets":["original"],"tags":["buddhism","high-priest","religious-texts","instruction-tuning","abhidhamma","tipitaka","pali-canon... |
dataset | 11-47/high_priest_Catholicism_100k | null | dataset:11-47/high_priest_Catholicism_100k | 2026-09-26T22:20:52.910972+00:00 | https://huggingface.co/datasets/11-47/high_priest_Catholicism_100k | 11-47 | 2026-05-05T06:19:40.000Z | 2026-05-05T06:45:45.000Z | d95dcaa2449440f31161392bc3d286152ab0052c | language:
en
High Priest Catholicism Training Dataset
tags:
catholicism
theology
llm-training
instruction-tuning
religious-texts
pastoral-care
doctrinal-study
size_categories:
- 100K<n<1M
license: other
High Priest Catholicism Training Dataset
Dataset Summary
A 102,202-e... | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
"modality:text",
"region:us",
"size_categories:100K<n<1M"
] | apache-2.0 | null | null | null | 22 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69f98bfc09845c03b0799972","author":"11-47","cardData":{"license":"apache-2.0"},"createdAt":"2026-05-05T06:19:40.000Z","description":"language:\n\nen\nHigh Priest Catholicism Training Dataset\ntags:\ncatholicism\ntheology\nllm-training\ninstruction-tuning\nreligious-texts\npastoral-care\ndoctrinal-study\n\n\n\t\... |
dataset | 11-47/high_priest_gnosticism_100k | null | dataset:11-47/high_priest_gnosticism_100k | 2026-09-26T22:20:52.910972+00:00 | https://huggingface.co/datasets/11-47/high_priest_gnosticism_100k | 11-47 | 2026-05-05T03:25:44.000Z | 2026-05-05T06:43:58.000Z | a8d3dafb0e00662eaa46db72315b5216e4001dad | Gnostic High Priest Dataset (100k)
Dataset Description
This dataset contains 100,000 unique instruction-response pairs designed to train language models to reason and think from the perspective of a Gnostic high priest. The dataset is constructed from authentic Gnostic texts including the Nag Hammadi ... | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
"modality:text",
"region:us",
"size_categories:100K<n<1M"
] | apache-2.0 | null | null | null | 10 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69f9633877f946f257609a9c","author":"11-47","cardData":{"license":"apache-2.0"},"createdAt":"2026-05-05T03:25:44.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tGnostic High Priest Dataset (100k)\n\t\n\n\n\t\n\t\t\n\t\n\t\n\t\tDataset Description\n\t\n\nThis dataset contains 100,000 unique instruction-response pair... |
dataset | 11-47/high_priest_occult_50k | null | dataset:11-47/high_priest_occult_50k | 2026-09-26T22:20:52.910972+00:00 | https://huggingface.co/datasets/11-47/high_priest_occult_50k | 11-47 | 2026-05-05T00:58:31.000Z | 2026-05-05T01:02:30.000Z | f2fe91b2f6d39160803415ac16625d776a9d6f9e | High Priest Mindset Training Dataset
Dataset Description
This dataset contains 25,000 high-quality training examples designed to train language models in the mindset, reasoning patterns, and operational framework of a high priest across various spiritual and occult traditions.
Dataset Summ... | [
"format:json",
"library:dask",
"library:datasets",
"library:mlcroissant",
"license:apache-2.0",
"modality:text",
"region:us",
"size_categories:10K<n<100K"
] | apache-2.0 | null | null | null | 30 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69f940b7756664a3c7015b10","author":"11-47","cardData":{"license":"apache-2.0"},"createdAt":"2026-05-05T00:58:31.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tHigh Priest Mindset Training Dataset\n\t\n\n\n\t\n\t\t\n\t\n\t\n\t\tDataset Description\n\t\n\nThis dataset contains 25,000 high-quality training examples ... |
dataset | 11-47/high_priest_supernatural_magic_1M | null | dataset:11-47/high_priest_supernatural_magic_1M | 2026-09-26T22:20:43.305804+00:00 | https://huggingface.co/datasets/11-47/high_priest_supernatural_magic_1M | 11-47 | 2026-04-17T01:35:13.000Z | 2026-04-17T01:40:26.000Z | 111f78c34093b620dbba969a3091231f084af902 | null | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:1M<n<10M"
] | null | null | null | null | 9 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69e18e514ba824d04264a793","author":"11-47","createdAt":"2026-04-17T01:35:13.000Z","downloads":9,"gated":false,"id":"11-47/high_priest_supernatural_magic_1M","lastModified":"2026-04-17T01:40:26.000Z","likes":0,"private":false,"sha":"111f78c34093b620dbba969a3091231f084af902","tags":["size_categories:1M<n<10M","fo... |
dataset | 11-47/high_priest_supernatural_magic_FACT_BASED_1M | null | dataset:11-47/high_priest_supernatural_magic_FACT_BASED_1M | 2026-09-26T22:20:43.305804+00:00 | https://huggingface.co/datasets/11-47/high_priest_supernatural_magic_FACT_BASED_1M | 11-47 | 2026-04-17T01:43:42.000Z | 2026-04-17T01:48:53.000Z | 7eb99b2edb54cb944193badbaa7b36695785c410 | null | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:1M<n<10M"
] | null | null | null | null | 19 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"69e1904e5b944ec1d9a51379","author":"11-47","createdAt":"2026-04-17T01:43:42.000Z","downloads":19,"gated":false,"id":"11-47/high_priest_supernatural_magic_FACT_BASED_1M","lastModified":"2026-04-17T01:48:53.000Z","likes":1,"private":false,"sha":"7eb99b2edb54cb944193badbaa7b36695785c410","tags":["size_categories:1... |
dataset | 11-47/jee_advanced_25k | null | dataset:11-47/jee_advanced_25k | 2026-09-26T22:20:58.060315+00:00 | https://huggingface.co/datasets/11-47/jee_advanced_25k | 11-47 | 2026-05-15T05:22:30.000Z | 2026-05-15T09:32:06.000Z | d9c6a55e9ebecdea5bf265237bed6638366f458b | JEE Reasoning Dataset v2 (25K)
Improvements:
Deduplicated questions
Dynamic reasoning traces
Topic-aligned metadata
Multiple problem families
Calculated intermediate arithmetic
No placeholder answers
Format:
{
"id": int,
"subject": "Physics or Mathematics",
"topic_tags": [...],
"difficulty_level": "JEE Adv... | [
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] | null | null | null | null | 275 | 2 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a06ad96b5f1a45009771d20","author":"11-47","createdAt":"2026-05-15T05:22:30.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tJEE Reasoning Dataset v2 (25K)\n\t\n\nImprovements:\n\nDeduplicated questions\nDynamic reasoning traces\nTopic-aligned metadata\nMultiple problem families\nCalculated intermediate arithmetic\... |
dataset | 11-47/kaggle_llm_master_v2 | null | dataset:11-47/kaggle_llm_master_v2 | 2026-09-26T22:21:23.165495+00:00 | https://huggingface.co/datasets/11-47/kaggle_llm_master_v2 | 11-47 | 2026-07-02T16:56:18.000Z | 2026-07-02T17:01:33.000Z | f643287045cdbe474cddfdc18869a7e244a0d5ab | Single split, 25,000 examples. Recommended random split for SFT:
train: 23,500
validation: 1,500
Stratify by category if you want balanced accelerator coverage.
Category breakdown:
Total: 20,778 T4 dual / 4,222 TPU v3-8
Models covered: Llama-3.1-8B, Mistral-7B-v0.3, Qwen2.5-7B, Gemma-2-9b, Phi-3-medium, Hermes-3, Dee... | [
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] | null | null | null | null | 28 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a4698327239e0c7f8f53287","author":"11-47","createdAt":"2026-07-02T16:56:18.000Z","description":"Single split, 25,000 examples. Recommended random split for SFT:\n\ntrain: 23,500\nvalidation: 1,500\n\nStratify by category if you want balanced accelerator coverage.\nCategory breakdown:\nTotal: 20,778 T4 dual / 4... |
dataset | 11-47/kimi-3-reasoning-1K | null | dataset:11-47/kimi-3-reasoning-1K | 2026-09-26T22:22:02.278763+00:00 | https://huggingface.co/datasets/11-47/kimi-3-reasoning-1K | 11-47 | 2026-09-25T04:11:48.000Z | 2026-09-25T04:11:48.000Z | 04a66e23b926abcd78cf327403f694acf83a9002 | Kimi Cyber Reasoning
997 chain-of-thought records covering 13 cybersecurity disciplines and 4 systems engineering domains, distilled from the Kimi K3 reasoning model via API. Every record provides an explicit step-by-step <think> reasoning trace followed by a technical resolution, unified code diff fix, or structure... | [
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"task_categories:t... | wtfpl | null | null | null | 24 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6ab5f484d0d1d7dd7432054a","author":"11-47","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"train.jsonl","split":"train"}]}],"language":["en"],"license":"wtfpl","pretty_name":"Kimi Cyber Reasoning","size_categories":["n<1K"],"tags":["cybersecurity","security","reasoning","chain-of-thought"... |
dataset | 11-47/kimi-k3-coding-and-debugging-traces | null | dataset:11-47/kimi-k3-coding-and-debugging-traces | 2026-09-26T22:21:58.560739+00:00 | https://huggingface.co/datasets/11-47/kimi-k3-coding-and-debugging-traces | 11-47 | 2026-09-16T15:46:15.000Z | 2026-09-16T15:46:17.000Z | beec5493f01e091f2a4700cf1ce8845ed56b1f5a | Kimi K3 Coding, Tool Use & Instruction Following Traces
582 TRAJECTORIES · 3,956 TRAINING ROWS · 3 MB PARQUET · 72 MB JSONL
Generated by moonshiner — an open harness for
distilling verified instruction-following, tool-use, and agentic coding traces.
Behavior-preserving instruction-following, tool-use, and ag... | [
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dataset | 11-47/leonardo_da_vinci_mindframe_instruction_dataset | null | dataset:11-47/leonardo_da_vinci_mindframe_instruction_dataset | 2026-09-26T22:20:59.278847+00:00 | https://huggingface.co/datasets/11-47/leonardo_da_vinci_mindframe_instruction_dataset | 11-47 | 2026-05-17T15:30:48.000Z | 2026-05-17T15:32:47.000Z | a552061e67978589088bbc3c4fc905e229ac7862 | Leonardo da Vinci Mindframe Instruction Dataset
A high-quality, unique instruction-tuning dataset designed to instill the mindframe and cognitive style of Leonardo da Vinci.
Overview
This dataset trains models to think, observe, question, and respond in the distinctive manner of Leonardo da Vinci — th... | [
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] | null | null | null | null | 12 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a09df2858f837f1898321d3","author":"11-47","createdAt":"2026-05-17T15:30:48.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tLeonardo da Vinci Mindframe Instruction Dataset\n\t\n\nA high-quality, unique instruction-tuning dataset designed to instill the mindframe and cognitive style of Leonardo da Vinci.\n\n\t\n\t\... |
dataset | 11-47/linguistic_anthropology_25k | null | dataset:11-47/linguistic_anthropology_25k | 2026-09-26T22:20:55.474527+00:00 | https://huggingface.co/datasets/11-47/linguistic_anthropology_25k | 11-47 | 2026-05-10T17:10:33.000Z | 2026-05-10T17:11:03.000Z | 4a5f096fde3035ed04de5324353949f0a6a2e85f | null | [
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] | apache-2.0 | null | null | null | 15 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a00bc098591446b5a298896","author":"11-47","cardData":{"license":"apache-2.0"},"createdAt":"2026-05-10T17:10:33.000Z","downloads":15,"gated":false,"id":"11-47/linguistic_anthropology_25k","lastModified":"2026-05-10T17:11:03.000Z","likes":0,"private":false,"sha":"4a5f096fde3035ed04de5324353949f0a6a2e85f","tags":... |
dataset | 11-47/melodyne_god_producer_dataset | null | dataset:11-47/melodyne_god_producer_dataset | 2026-09-26T22:20:45.916081+00:00 | https://huggingface.co/datasets/11-47/melodyne_god_producer_dataset | 11-47 | 2026-04-23T14:37:49.000Z | 2026-04-23T14:38:42.000Z | cfc1e3d2558d2c9c7b299b62eb9473374bafbabe | Celemony Melodyne — God Level Producer Dataset (15k Examples)
The most advanced open dataset for training LLMs to become expert Melodyne producers across all editions, instruments, and workflows.
This 13,122-example dataset trains models to master Celemony Melodyne (Assistant, Editor, Studio, Essential) at a god-lev... | [
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"plugin-workflo... | apache-2.0 | null | null | null | 40 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"69ea2ebd6c95af636d36f5f8","author":"11-47","cardData":{"language":["en"],"license":"apache-2.0","pretty_name":"Celemony Melodyne God-Level Producer Dataset (15k)","size_categories":["10K<n<100K"],"tags":["melodyne","celemony","god-level-producer","audio-editing","pitch-correction","music-production","mixing-mas... |
dataset | 11-47/metatron_mindstate_25k_dataset | null | dataset:11-47/metatron_mindstate_25k_dataset | 2026-09-26T22:20:59.278847+00:00 | https://huggingface.co/datasets/11-47/metatron_mindstate_25k_dataset | 11-47 | 2026-05-18T00:31:07.000Z | 2026-05-18T00:31:41.000Z | 2b41427cce8ee669d949c007e0026f075f7b70a4 | Archangel Metatron Mindstate — 25k Instruction Dataset
A high-quality, carefully crafted 25,000-example instruction-tuning dataset designed to deeply instill and internalize the full mindstate, consciousness, and persona of Archangel Metatron.
Purpose
This dataset trains language models to naturally e... | [
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] | null | null | null | null | 17 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a0a5dcbfa1cb0f9037ef2ad","author":"11-47","createdAt":"2026-05-18T00:31:07.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tArchangel Metatron Mindstate \u2014 25k Instruction Dataset\n\t\n\nA high-quality, carefully crafted 25,000-example instruction-tuning dataset designed to deeply instill and internalize the f... |
dataset | 11-47/mindset_datasets_5x25k | null | dataset:11-47/mindset_datasets_5x25k | 2026-09-26T22:04:55.651043+00:00 | https://huggingface.co/datasets/11-47/mindset_datasets_5x25k | 11-47 | 2026-02-08T09:54:29.000Z | 2026-02-08T10:02:39.000Z | c30392fc07ccb1e4b6b2e80c8f7f2561cde14412 | 5 × 25k Mindset Datasets (Instruction-Tuning JSONL)
These datasets are synthetic instruction-tuning conversations designed to train a model to emulate working mindsets associated with:
Benjamin Franklin
Thomas Edison
Albert Einstein
Nikola Tesla
Leonardo da Vinci
Format
Each line is a JSON object wi... | [
"region:us"
] | null | null | null | null | 39 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"69885d55dbe6bcf549eaa993","author":"11-47","createdAt":"2026-02-08T09:54:29.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\t5 \u00d7 25k Mindset Datasets (Instruction-Tuning JSONL)\n\t\n\nThese datasets are synthetic instruction-tuning conversations designed to train a model to emulate working mindsets associated ... |
dataset | 11-47/newton_mindset_training_dataset | null | dataset:11-47/newton_mindset_training_dataset | 2026-09-26T22:20:59.278847+00:00 | https://huggingface.co/datasets/11-47/newton_mindset_training_dataset | 11-47 | 2026-05-17T15:20:36.000Z | 2026-05-17T15:29:04.000Z | 218f89f173d7996d03719ade7f6cabac2d2bd7b6 | Isaac Newton Mindframe / Mindstate Training Dataset
High-Quality, Curated Dataset for Emulating Isaac Newton's Thinking Style
Size: 598 unique prompt-response pairs (JSONL format)
Total content: Focused, rich examples (~0.5 MB)
No duplicates, no placeholders — every entry is concrete and original
Purpose: Fine-tune... | [
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dataset | 11-47/philosophy_dialectics_25k | null | dataset:11-47/philosophy_dialectics_25k | 2026-09-26T22:20:55.474527+00:00 | https://huggingface.co/datasets/11-47/philosophy_dialectics_25k | 11-47 | 2026-05-10T17:11:54.000Z | 2026-05-10T17:12:25.000Z | 0d01eb775469ece0b6b492f4d0bdce4423216815 | null | [
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] | apache-2.0 | null | null | null | 6 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a00bc5aed108e3c5a7a945f","author":"11-47","cardData":{"license":"apache-2.0"},"createdAt":"2026-05-10T17:11:54.000Z","downloads":6,"gated":false,"id":"11-47/philosophy_dialectics_25k","lastModified":"2026-05-10T17:12:25.000Z","likes":0,"private":false,"sha":"0d01eb775469ece0b6b492f4d0bdce4423216815","tags":["l... |
dataset | 11-47/pure_mathematics_25k | null | dataset:11-47/pure_mathematics_25k | 2026-09-26T22:20:55.474527+00:00 | https://huggingface.co/datasets/11-47/pure_mathematics_25k | 11-47 | 2026-05-10T17:13:15.000Z | 2026-05-10T17:13:38.000Z | ef02380660d13762f4b9afce38f9e62717e37110 | null | [
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] | apache-2.0 | null | null | null | 96 | 2 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a00bcabb2ab80178f744f32","author":"11-47","cardData":{"license":"apache-2.0"},"createdAt":"2026-05-10T17:13:15.000Z","downloads":96,"gated":false,"id":"11-47/pure_mathematics_25k","lastModified":"2026-05-10T17:13:38.000Z","likes":2,"private":false,"sha":"ef02380660d13762f4b9afce38f9e62717e37110","tags":["licen... |
dataset | 11-47/quantitative_stats_25k | null | dataset:11-47/quantitative_stats_25k | 2026-09-26T22:20:55.474527+00:00 | https://huggingface.co/datasets/11-47/quantitative_stats_25k | 11-47 | 2026-05-10T17:06:43.000Z | 2026-05-10T17:07:08.000Z | 68ed9925d2832e73550253193b0c61aefc8578e6 | null | [
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] | apache-2.0 | null | null | null | 34 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a00bb2339958d20f727792e","author":"11-47","cardData":{"license":"apache-2.0"},"createdAt":"2026-05-10T17:06:43.000Z","downloads":34,"gated":false,"id":"11-47/quantitative_stats_25k","lastModified":"2026-05-10T17:07:08.000Z","likes":0,"private":false,"sha":"68ed9925d2832e73550253193b0c61aefc8578e6","tags":["lic... |
dataset | 11-47/reason_4_god_producer_dataset | null | dataset:11-47/reason_4_god_producer_dataset | 2026-09-26T22:20:45.916081+00:00 | https://huggingface.co/datasets/11-47/reason_4_god_producer_dataset | 11-47 | 2026-04-23T14:39:53.000Z | 2026-05-02T10:42:36.000Z | 992b578822180a53583ed45500d5ffbc0f3779e7 | Reason 4 God-Level Producer 25k
The ultimate dataset for training an LLM to become a god-level producer in Propellerhead Reason 4.
This dataset contains 7,859 high-quality, fact-based examples teaching complete professional workflows in Reason 4, covering:
All virtual instruments (Subtractor, Malström, NN-19, Redru... | [
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dataset | 11-47/recursive_seed_ai_25k | null | dataset:11-47/recursive_seed_ai_25k | 2026-09-26T22:20:45.916081+00:00 | https://huggingface.co/datasets/11-47/recursive_seed_ai_25k | 11-47 | 2026-04-23T08:37:32.000Z | 2026-04-23T08:42:40.000Z | 36b47a2cb07888b1562269d9c140d8bc2186f322 | Recursive Seed AI 25k
The most advanced open dataset for training truly self-improving LLMs.
This is a 25,000-example, high-density instruction-tuning dataset specifically engineered to transform any base LLM into a Recursive Seed AI — a model capable of:
Rigorous self-assessment
Designing its own training recipes ... | [
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dataset | 11-47/seed_ai_150k_package | null | dataset:11-47/seed_ai_150k_package | 2026-09-26T22:20:43.071978+00:00 | https://huggingface.co/datasets/11-47/seed_ai_150k_package | 11-47 | 2026-04-16T09:55:10.000Z | 2026-04-16T10:11:43.000Z | 2476bca81503cf33fdd5b8e9320365ab83456b68 | ⸻
📘 Dataset Card: seed_ai_150k_package
license: apache-2.0
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pretty_name: Seed AI 150K Recursive Training Package
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tags:
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dataset | 11-47/self_evolving_self_debugging_250_implementations | null | dataset:11-47/self_evolving_self_debugging_250_implementations | 2026-09-26T22:03:51.828226+00:00 | https://huggingface.co/datasets/11-47/self_evolving_self_debugging_250_implementations | 11-47 | 2025-12-17T22:37:36.000Z | 2025-12-17T22:47:54.000Z | 87218fee1674c14b31a0552764fd8959eeded3b1 | null | [
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] | null | null | null | null | 9 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"694330b06395ea05a7421a09","author":"11-47","createdAt":"2025-12-17T22:37:36.000Z","downloads":9,"gated":false,"id":"11-47/self_evolving_self_debugging_250_implementations","lastModified":"2025-12-17T22:47:54.000Z","likes":1,"private":false,"sha":"87218fee1674c14b31a0552764fd8959eeded3b1","tags":["size_categorie... |
dataset | 11-47/self_evolving_self_debugging_250_implementations-2 | null | dataset:11-47/self_evolving_self_debugging_250_implementations-2 | 2026-09-26T22:03:51.828226+00:00 | https://huggingface.co/datasets/11-47/self_evolving_self_debugging_250_implementations-2 | 11-47 | 2025-12-17T22:40:05.000Z | 2025-12-17T22:50:35.000Z | 72cfbb4ac61426e997df1c2123cac869c1ec8fa3 | null | [
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] | null | null | null | null | 20 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"69433145e1d13c9b5d0c0941","author":"11-47","createdAt":"2025-12-17T22:40:05.000Z","downloads":20,"gated":false,"id":"11-47/self_evolving_self_debugging_250_implementations-2","lastModified":"2025-12-17T22:50:35.000Z","likes":1,"private":false,"sha":"72cfbb4ac61426e997df1c2123cac869c1ec8fa3","tags":["size_catego... |
dataset | 11-47/self_rewriting_meta_learning_god_seed_25k | null | dataset:11-47/self_rewriting_meta_learning_god_seed_25k | 2026-09-26T22:20:45.916081+00:00 | https://huggingface.co/datasets/11-47/self_rewriting_meta_learning_god_seed_25k | 11-47 | 2026-04-23T09:29:31.000Z | 2026-04-23T09:34:12.000Z | 72466e13f882297c8399e1d7dbb995535caba057 | Self-Rewriting God Seed AI — Max Distill + Self Meta-Learning
The ultimate dataset for creating truly autonomous, self-modifying, god-level recursive superintelligence.
This 25,000-example dataset is specifically engineered to turn any LLM into a Self-Rewriting AI with Self Meta-Learning Thinking and God-Level Recur... | [
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"self... | apache-2.0 | null | null | null | 13 | 2 | manual | false | [] | base_model | [] | [] | [] | {"_id":"69e9e67b7a02b725843190ea","author":"11-47","cardData":{"language":["en"],"license":"apache-2.0","pretty_name":"Self-Rewriting God Seed AI - Max Distill + Self Meta-Learning","size_categories":["10K<n<100K"],"tags":["self-rewriting-ai","self-meta-learning","god-level-recursive-seed-ai","max-distill","intelligenc... |
dataset | 11-47/self_training_implementations_250.jsonl | null | dataset:11-47/self_training_implementations_250.jsonl | 2026-09-26T22:03:52.477665+00:00 | https://huggingface.co/datasets/11-47/self_training_implementations_250.jsonl | 11-47 | 2025-12-17T23:08:16.000Z | 2025-12-17T23:09:19.000Z | 3b6bd0e11df2532b3b3432bad6d0cf699818d8f6 | null | [
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] | null | null | null | null | 15 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"694337e0e1d13c9b5d0c8f01","author":"11-47","createdAt":"2025-12-17T23:08:16.000Z","downloads":15,"gated":false,"id":"11-47/self_training_implementations_250.jsonl","lastModified":"2025-12-17T23:09:19.000Z","likes":0,"private":false,"sha":"3b6bd0e11df2532b3b3432bad6d0cf699818d8f6","tags":["size_categories:n<1K",... |
dataset | 11-47/telewormhole_generators_v3 | null | dataset:11-47/telewormhole_generators_v3 | 2026-09-26T22:20:33.434374+00:00 | https://huggingface.co/datasets/11-47/telewormhole_generators_v3 | 11-47 | 2026-03-22T15:39:58.000Z | 2026-03-22T16:04:53.000Z | e883d802f640c3ce2fd25bf0352790e1d95db3e4 | Teleportation & Wormholes — Evidence-Only Scientist Mindframe (Within Us AI)
What this is
A multi-dataset package built from your PDFs only. It trains:
Evidence-only scientific answering (no made-up facts)
Deep reasoning with falsification and verification plans
Tool-first retrieval behavior (RAG-Bri... | [
"chain-of-thought",
"dpo",
"general-relativity",
"language:en",
"license:mit",
"physics",
"quantum-teleportation",
"rag",
"region:us"
] | mit | null | null | null | 84 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"69c00d4ed0465aacacb2a92f","author":"11-47","cardData":{"language":["en"],"license":"mit","pretty_name":"Teleportation & Wormholes \u2014 Evidence-Only Scientist Mindframe","tags":["physics","general-relativity","quantum-teleportation","rag","dpo","chain-of-thought"]},"createdAt":"2026-03-22T15:39:58.000Z","desc... |
dataset | 11-47/theoretical_sciences_25k | null | dataset:11-47/theoretical_sciences_25k | 2026-09-26T22:20:55.474527+00:00 | https://huggingface.co/datasets/11-47/theoretical_sciences_25k | 11-47 | 2026-05-10T17:08:57.000Z | 2026-05-10T17:09:25.000Z | 0a0f091f71f18285885d9623bd7437c406db666e | null | [
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] | apache-2.0 | null | null | null | 5 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a00bba93b32367d0e85178c","author":"11-47","cardData":{"license":"apache-2.0"},"createdAt":"2026-05-10T17:08:57.000Z","downloads":5,"gated":false,"id":"11-47/theoretical_sciences_25k","lastModified":"2026-05-10T17:09:25.000Z","likes":0,"private":false,"sha":"0a0f091f71f18285885d9623bd7437c406db666e","tags":["li... |
dataset | 1101psy2/olympic-ragas-eval-dataset | null | dataset:1101psy2/olympic-ragas-eval-dataset | 2026-09-26T21:59:29.428114+00:00 | https://huggingface.co/datasets/1101psy2/olympic-ragas-eval-dataset | 1101psy2 | 2024-12-17T06:57:11.000Z | 2024-12-17T06:57:13.000Z | 0c2be9df4498066004271d1851f51594227f5a17 | null | [
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] | null | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"676120c7040e1f09f6e04e14","author":"1101psy2","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":39803,"download_size":15593,"features":[{"dtype":"string","name":"user_input"},{"name":"retrieved_contexts","sequence":"string"},{... |
dataset | 1104akshat1104/studentreportdataset_passfail | null | dataset:1104akshat1104/studentreportdataset_passfail | 2026-09-26T22:21:14.126362+00:00 | https://huggingface.co/datasets/1104akshat1104/studentreportdataset_passfail | 1104akshat1104 | 2026-06-11T10:08:47.000Z | 2026-06-11T10:08:47.000Z | 66ccaeec2c67cb68715fc0aa0ecf75d37afe021f | null | [
"region:us"
] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a2a892f8d738288dc5ecf6d","author":"1104akshat1104","createdAt":"2026-06-11T10:08:47.000Z","downloads":2,"gated":false,"id":"1104akshat1104/studentreportdataset_passfail","lastModified":"2026-06-11T10:08:47.000Z","likes":0,"private":false,"sha":"66ccaeec2c67cb68715fc0aa0ecf75d37afe021f","tags":["region:us"]} |
dataset | 1111111111111111111111111111e100/hola2 | null | dataset:1111111111111111111111111111e100/hola2 | 2026-09-26T21:58:56.222370+00:00 | https://huggingface.co/datasets/1111111111111111111111111111e100/hola2 | 1111111111111111111111111111e100 | 2024-06-26T08:53:01.000Z | 2024-06-26T08:53:01.000Z | 2e0cb98fa0b2f340c2892338bf4881abeae05160 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"667bd6ed91bd7b3e1e2108ea","author":"1111111111111111111111111111e100","createdAt":"2024-06-26T08:53:01.000Z","downloads":1,"gated":false,"id":"1111111111111111111111111111e100/hola2","lastModified":"2024-06-26T08:53:01.000Z","likes":0,"private":false,"sha":"2e0cb98fa0b2f340c2892338bf4881abeae05160","tags":["reg... |
dataset | 1111111Ahmed1111111/ahsanneural_pakistan-air-quality-and-weather-10-cities | null | dataset:1111111Ahmed1111111/ahsanneural_pakistan-air-quality-and-weather-10-cities | 2026-09-26T22:20:50.096112+00:00 | https://huggingface.co/datasets/1111111Ahmed1111111/ahsanneural_pakistan-air-quality-and-weather-10-cities | 1111111Ahmed1111111 | 2026-04-30T20:06:23.000Z | 2026-04-30T20:06:23.000Z | 8cf1e07d5a4d111d31f67f01be5777847525675f | Pakistan Air Quality & Weather (10 Cities)
3 months of hourly air pollutants (PM2.5, PM10, CO, NO2, O3, SO2) + weather data
Dataset Info
Source: Kaggle
Original Size: 0.61 MB
Kaggle Downloads: 211
Files: 1
Files
pakistan_air_quality_final_clean.csv
Mirrored from Kaggle | [
"atmospheric science",
"earth and nature",
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"kaggle",
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"license:unknown",
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"pollution",
"region:us",
"size_categories:10K<n<100K",
"time series analysis",
"wea... | unknown | null | null | null | 5 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69f3b63f637e469a748a6abf","author":"1111111Ahmed1111111","cardData":{"license":"unknown","tags":["kaggle","earth and nature","atmospheric science","pollution","weather and climate","time series analysis"]},"createdAt":"2026-04-30T20:06:23.000Z","description":"\n\t\n\t\t\n\t\tPakistan Air Quality & Weather (10 C... |
dataset | 1111xxx/zoengjyutgaai | null | dataset:1111xxx/zoengjyutgaai | 2026-09-26T22:20:59.794856+00:00 | https://huggingface.co/datasets/1111xxx/zoengjyutgaai | 1111xxx | 2026-05-19T05:51:46.000Z | 2026-05-19T05:51:48.000Z | a204ebda8ebef0388caf6a1ee6588bf35f84acf6 | 張悦楷講古語音數據集
English
呢個係張悦楷講《三國演義》、《水滸傳》、《走進毛澤東的最後歲月》、《鹿鼎記》語音數據集。張悦楷係廣州最出名嘅講古佬 / 粵語説書藝人。佢從上世紀七十年代開始就喺廣東各個收音電台度講古，佢把聲係好多廣州人嘅共同回憶。本數據集收集嘅係佢最知名嘅四部作品。
數據集用途：
TTS（語音合成）訓練集
ASR（語音識別）訓練集或測試集
各種語言學、文學研究
直接聽嚟欣賞藝術！
TTS 效果演示：https://huggingface.co/spaces/laubonghaudoi/zoengjyutgaai_tts
説明
所有文本都根據 https://jyutpi... | [
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"task_categories:automatic-speech-recognition",
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"task_c... | cc0-1.0 | null | null | null | 89 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a0bfa721d9bf5a814a062c7","author":"1111xxx","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/saamgwokjinji-*","split":"saamgwokjinji"},{"path":"data/seoiwuzyun-*","split":"seoiwuzyun"},{"path":"data/mouzaakdung-*","split":"mouzaakdung"},{"path":"data/lukdinggei-*","split":"lukdinggei... |
dataset | 1112luke/bartolini | null | dataset:1112luke/bartolini | 2026-09-26T21:58:55.612875+00:00 | https://huggingface.co/datasets/1112luke/bartolini | 1112luke | 2024-06-22T18:26:27.000Z | 2024-06-22T18:26:27.000Z | c84e62a3330d069877a17f1fd8b44e918a90e525 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"667717534b1e6619163f4c84","author":"1112luke","createdAt":"2024-06-22T18:26:27.000Z","downloads":1,"gated":false,"id":"1112luke/bartolini","lastModified":"2024-06-22T18:26:27.000Z","likes":0,"private":false,"sha":"c84e62a3330d069877a17f1fd8b44e918a90e525","tags":["region:us"]} |
dataset | 1112luke/voices | null | dataset:1112luke/voices | 2026-09-26T21:58:04.625824+00:00 | https://huggingface.co/datasets/1112luke/voices | 1112luke | 2023-04-21T20:45:57.000Z | 2023-04-21T20:45:57.000Z | a1ce29b2a17e4648cc223570a2a0fdd7e5999a0d | null | [
"region:us"
] | null | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6442f605dad68e008d0bfda9","author":"1112luke","createdAt":"2023-04-21T20:45:57.000Z","downloads":3,"gated":false,"id":"1112luke/voices","lastModified":"2023-04-21T20:45:57.000Z","likes":0,"private":false,"sha":"a1ce29b2a17e4648cc223570a2a0fdd7e5999a0d","tags":["region:us"]} |
dataset | 111BaoLe111/final_ravist_dataset | null | dataset:111BaoLe111/final_ravist_dataset | 2026-09-26T22:07:23.748875+00:00 | https://huggingface.co/datasets/111BaoLe111/final_ravist_dataset | 111BaoLe111 | 2026-03-06T13:51:57.000Z | 2026-03-06T13:57:03.000Z | 734c9cb19008062e7c7d7d721f9dbe07c6523725 | Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [Mor... | [
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] | null | null | null | null | 6 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69aadbfd66669f5c9e20cce4","author":"111BaoLe111","cardData":{"pretty_name":"x","size_categories":["10K<n<100K"],"tags":["agent"],"task_categories":["text-generation"]},"createdAt":"2026-03-06T13:51:57.000Z","description":"\n\t\n\t\t\n\t\tDataset Card for Dataset Name\n\t\n\n\n\nThis dataset card aims to be a ba... |
dataset | 111BaoLe111/vietnamese-dataset-from-hoanghai2110 | null | dataset:111BaoLe111/vietnamese-dataset-from-hoanghai2110 | 2026-09-26T22:05:10.398103+00:00 | https://huggingface.co/datasets/111BaoLe111/vietnamese-dataset-from-hoanghai2110 | 111BaoLe111 | 2026-02-26T14:14:02.000Z | 2026-02-26T14:15:39.000Z | 8e507005f23efa4397adfee6e6f344c2479f3bfb | LƯU Ý: DATASET NÀY ĐC CLONE TỪ @hoanghai2110, không thuộc về tôi ',:)
Vietnamese Dialogue Dataset
Dữ liệu hội thoại tiếng Việt ngắn gọn, tự nhiên, dùng để fine-tune các mô hình ngôn ngữ như Mamba, LLaMA, Gemma. Nội dung bao gồm giao tiếp hàng ngày, câu hỏi thường gặp, phản hồi cảm xúc...
✅ Chuẩn định dạng J... | [
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] | apache-2.0 | null | null | null | 4 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69a0552a149a8103d9824d5f","author":"111BaoLe111","cardData":{"language":["vi"],"license":"apache-2.0","size_categories":["1K<n<10K"]},"createdAt":"2026-02-26T14:14:02.000Z","description":" L\u01afU \u00dd: DATASET N\u00c0Y \u0110C CLONE T\u1eea @hoanghai2110, kh\u00f4ng thu\u1ed9c v\u1ec1 t\u00f4i ',:)\n\n\t\n\... |
dataset | 111Luk111/cotton-fisheye-obb | null | dataset:111Luk111/cotton-fisheye-obb | 2026-09-26T22:20:53.649862+00:00 | https://huggingface.co/datasets/111Luk111/cotton-fisheye-obb | 111Luk111 | 2026-05-06T12:37:48.000Z | 2026-05-06T12:40:47.000Z | f9f7f07ea1413e33606081e4353ed5b7764dd3f7 | null | [
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] | null | null | null | null | 7 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69fb361c1993e5fe14477e03","author":"111Luk111","createdAt":"2026-05-06T12:37:48.000Z","downloads":7,"gated":false,"id":"111Luk111/cotton-fisheye-obb","lastModified":"2026-05-06T12:40:47.000Z","likes":0,"private":false,"sha":"f9f7f07ea1413e33606081e4353ed5b7764dd3f7","tags":["size_categories:1K<n<10K","format:te... |
dataset | 111ffffff/domains | null | dataset:111ffffff/domains | 2026-09-26T22:21:56.597028+00:00 | https://huggingface.co/datasets/111ffffff/domains | 111ffffff | 2026-09-12T12:44:25.000Z | 2026-09-12T12:44:26.000Z | 6d7671a9beb2115dc0a7e17822b1cfc9fd088914 | Internet Domains
Domains
HuggingFace Hub Mirror for https://github.com/pkgforge-security/domains
The Sync Workflow actions are at: https://github.com/pkgforge-security/domains
TOS & Abuse (To Hugging-Face's Staff)
Hi, if you are an offical from Hugging-Face here to in... | [
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] | mit | null | null | null | 671 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6aa54929fe9b437b7b6aa27a","author":"111ffffff","cardData":{"license":"mit","pretty_name":"Domains","size_categories":["100B<n<1T"]},"createdAt":"2026-09-12T12:44:25.000Z","description":"\n \n \n Internet Domains\n \n \n\n\n\n\n\n\t\n\t\t\n\t\n\t\n\t\tDomains\n\t\n\n\n\n\n\nHuggingFace Hub Mirror for... |
dataset | 111gatto111/HelperAIDataset | null | dataset:111gatto111/HelperAIDataset | 2026-09-26T22:00:49.538083+00:00 | https://huggingface.co/datasets/111gatto111/HelperAIDataset | 111gatto111 | 2025-07-17T17:17:30.000Z | 2025-07-17T17:17:57.000Z | c8b79d71e31f5f41fb6239b1e34a0ba28844fcc1 | null | [
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dataset | 111iillil11iil/korean-roleplay-exa-demo-v1 | null | dataset:111iillil11iil/korean-roleplay-exa-demo-v1 | 2026-09-26T22:20:38.379913+00:00 | https://huggingface.co/datasets/111iillil11iil/korean-roleplay-exa-demo-v1 | 111iillil11iil | 2026-04-05T03:25:49.000Z | 2026-04-05T03:25:51.000Z | c36f7b7c38020c17a8b97c4617aa0644f80a7b34 | null | [
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"size_categories:n<1K"
] | null | null | null | null | 5 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69d1d63dcc1c8310756003f4","author":"111iillil11iil","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":19257,"download_size":16676,"features":[{"dtype":"string","name":"topic"},{"dtype":"string","name":"flat_text"},{"dtype":"in... |
dataset | 111liqigui111/FastTracker-Benchmark | null | dataset:111liqigui111/FastTracker-Benchmark | 2026-09-26T22:07:37.631978+00:00 | https://huggingface.co/datasets/111liqigui111/FastTracker-Benchmark | 111liqigui111 | 2026-03-11T08:18:49.000Z | 2026-03-11T08:18:51.000Z | 722c81c007ad74ea49a0573f8d6f4e99fd4181dd | FastTracker Benchmark
A new benchmark dataset comprising diverse vehicle classes with frame-level tracking annotation introduced in paper: FastTracker: Real-Time and Accurate Visual Tracking
Hamidreza Hashempoor, Yu Dong Hwang.
Updates
Date
Update
2026-03-01
Speciall thanks ... | [
"Multi-object-tracking",
"arxiv:2508.14370",
"format:imagefolder",
"language:en",
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"license:bigscience-openrail-m",
"modality:image",
"region:us",
"size_categories:10K<n<100K",
"task_categories:object-detection"
] | bigscience-openrail-m | null | null | null | 68 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69b12569a589a8941a5753a0","author":"111liqigui111","cardData":{"language":["en"],"license":"bigscience-openrail-m","pretty_name":"FastTracker-Benchmark","size_categories":["100K<n<1M"],"tags":["Multi-object-tracking"],"task_categories":["object-detection"]},"createdAt":"2026-03-11T08:18:49.000Z","description":"... |
dataset | 111lll/AORS-QA | null | dataset:111lll/AORS-QA | 2026-09-26T22:04:21.093399+00:00 | https://huggingface.co/datasets/111lll/AORS-QA | 111lll | 2026-01-06T07:45:35.000Z | 2026-01-06T07:45:35.000Z | 314edcda04b89de2d9b0452d99cc5106f0b5be10 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"695cbd9fb0c977b76e23145f","author":"111lll","createdAt":"2026-01-06T07:45:35.000Z","downloads":1,"gated":false,"id":"111lll/AORS-QA","lastModified":"2026-01-06T07:45:35.000Z","likes":0,"private":false,"sha":"314edcda04b89de2d9b0452d99cc5106f0b5be10","tags":["region:us"]} |
dataset | 111mohan111/phi4-function-calling-dataset-v3 | null | dataset:111mohan111/phi4-function-calling-dataset-v3 | 2026-09-26T22:20:44.140545+00:00 | https://huggingface.co/datasets/111mohan111/phi4-function-calling-dataset-v3 | 111mohan111 | 2026-04-19T13:25:45.000Z | 2026-04-19T13:25:46.000Z | 9f2d26571a2d16e637d084ca25836be29a28e234 | null | [
"format:json",
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"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 18 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69e4d7d90df119ea178d65dc","author":"111mohan111","createdAt":"2026-04-19T13:25:45.000Z","downloads":18,"gated":false,"id":"111mohan111/phi4-function-calling-dataset-v3","lastModified":"2026-04-19T13:25:46.000Z","likes":0,"private":false,"sha":"9f2d26571a2d16e637d084ca25836be29a28e234","tags":["size_categories:1... |
dataset | 111tttyyy/final_project_231820006_231820008 | null | dataset:111tttyyy/final_project_231820006_231820008 | 2026-09-26T22:04:27.486280+00:00 | https://huggingface.co/datasets/111tttyyy/final_project_231820006_231820008 | 111tttyyy | 2026-01-10T07:46:25.000Z | 2026-01-10T07:50:22.000Z | f8807bc75c39fc8498a4880d94e1aa903320e86f | null | [
"format:csv",
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"library:pandas",
"library:polars",
"modality:tabular",
"modality:text",
"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"696203d1c037e151fd4adfd1","author":"111tttyyy","createdAt":"2026-01-10T07:46:25.000Z","downloads":1,"gated":false,"id":"111tttyyy/final_project_231820006_231820008","lastModified":"2026-01-10T07:50:22.000Z","likes":0,"private":false,"sha":"f8807bc75c39fc8498a4880d94e1aa903320e86f","tags":["size_categories:1K<n<... |
dataset | 111tttyyy/homework | null | dataset:111tttyyy/homework | 2026-09-26T22:03:17.684132+00:00 | https://huggingface.co/datasets/111tttyyy/homework | 111tttyyy | 2025-10-31T08:41:51.000Z | 2025-10-31T08:43:28.000Z | ec1d4f2aaea89f33b6a7af4291fa872dfd71e013 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6904764f907bde1b9c5b6269","author":"111tttyyy","createdAt":"2025-10-31T08:41:51.000Z","downloads":1,"gated":false,"id":"111tttyyy/homework","lastModified":"2025-10-31T08:43:28.000Z","likes":0,"private":false,"sha":"ec1d4f2aaea89f33b6a7af4291fa872dfd71e013","tags":["region:us"]} |
dataset | 111wwwww/DWDSCC | null | dataset:111wwwww/DWDSCC | 2026-09-26T21:58:08.651188+00:00 | https://huggingface.co/datasets/111wwwww/DWDSCC | 111wwwww | 2023-07-26T06:01:31.000Z | 2023-07-26T06:01:31.000Z | 96602eff5a3fd6b58b36703238ac5ddfb0e996b2 | null | [
"license:openrail",
"region:us"
] | openrail | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"64c0b6bba04a514ba6292aeb","author":"111wwwww","cardData":{"license":"openrail"},"createdAt":"2023-07-26T06:01:31.000Z","downloads":2,"gated":false,"id":"111wwwww/DWDSCC","lastModified":"2023-07-26T06:01:31.000Z","likes":0,"private":false,"sha":"96602eff5a3fd6b58b36703238ac5ddfb0e996b2","tags":["license:openrail... |
dataset | 111wwwww/EODIPOOWO | null | dataset:111wwwww/EODIPOOWO | 2026-09-26T21:58:08.651188+00:00 | https://huggingface.co/datasets/111wwwww/EODIPOOWO | 111wwwww | 2023-07-26T06:02:08.000Z | 2023-07-26T06:02:08.000Z | 7451b5d50fac01c255c86fce1a01d41af29a0234 | null | [
"license:isc",
"region:us"
] | isc | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"64c0b6e0a4cb9ca140145aa9","author":"111wwwww","cardData":{"license":"isc"},"createdAt":"2023-07-26T06:02:08.000Z","downloads":2,"gated":false,"id":"111wwwww/EODIPOOWO","lastModified":"2023-07-26T06:02:08.000Z","likes":0,"private":false,"sha":"7451b5d50fac01c255c86fce1a01d41af29a0234","tags":["license:isc","regi... |
dataset | 111wwwww/TEST | null | dataset:111wwwww/TEST | 2026-09-26T21:58:08.651188+00:00 | https://huggingface.co/datasets/111wwwww/TEST | 111wwwww | 2023-07-26T06:03:03.000Z | 2023-07-26T06:03:03.000Z | 0641a4a42cdf60aa119c95662c5e9c62a319a457 | null | [
"license:isc",
"region:us"
] | isc | null | null | null | 4 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"64c0b717a8a2dcaa167c7c0e","author":"111wwwww","cardData":{"license":"isc"},"createdAt":"2023-07-26T06:03:03.000Z","downloads":4,"gated":false,"id":"111wwwww/TEST","lastModified":"2023-07-26T06:03:03.000Z","likes":0,"private":false,"sha":"0641a4a42cdf60aa119c95662c5e9c62a319a457","tags":["license:isc","region:us... |
dataset | 111wwwww/hold | null | dataset:111wwwww/hold | 2026-09-26T21:58:08.651188+00:00 | https://huggingface.co/datasets/111wwwww/hold | 111wwwww | 2023-07-26T03:45:02.000Z | 2023-07-26T03:45:02.000Z | e2af69add044072cdf084d9cf34090f7344ab7f5 | null | [
"region:us"
] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"64c096bebd4b58768d9dd759","author":"111wwwww","createdAt":"2023-07-26T03:45:02.000Z","downloads":2,"gated":false,"id":"111wwwww/hold","lastModified":"2023-07-26T03:45:02.000Z","likes":0,"private":false,"sha":"e2af69add044072cdf084d9cf34090f7344ab7f5","tags":["region:us"]} |
dataset | 111zjy/event_image_conbined | null | dataset:111zjy/event_image_conbined | 2026-09-26T22:04:01.727140+00:00 | https://huggingface.co/datasets/111zjy/event_image_conbined | 111zjy | 2025-12-27T05:19:46.000Z | 2025-12-27T05:37:33.000Z | 6acbe4e89bc760a17df458d7c896cc48be81dd9c | null | [
"modality:image",
"region:us"
] | null | null | null | null | 6 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"694f6c721c2c18ff21e7da8d","author":"111zjy","createdAt":"2025-12-27T05:19:46.000Z","downloads":6,"gated":false,"id":"111zjy/event_image_conbined","lastModified":"2025-12-27T05:37:33.000Z","likes":0,"private":false,"sha":"6acbe4e89bc760a17df458d7c896cc48be81dd9c","tags":["modality:image","region:us"]} |
dataset | 1121238634cc/chair_emotion | null | dataset:1121238634cc/chair_emotion | 2026-09-26T22:05:14.495503+00:00 | https://huggingface.co/datasets/1121238634cc/chair_emotion | 1121238634cc | 2026-03-03T15:12:22.000Z | 2026-03-03T15:14:10.000Z | c70e7172550f0b1a97599c8ccef647b70f0d9ade | null | [
"format:csv",
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"library:pandas",
"library:polars",
"modality:tabular",
"modality:text",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69a6fa56797f8ce31a63f6ed","author":"1121238634cc","createdAt":"2026-03-03T15:12:22.000Z","downloads":1,"gated":false,"id":"1121238634cc/chair_emotion","lastModified":"2026-03-03T15:14:10.000Z","likes":0,"private":false,"sha":"c70e7172550f0b1a97599c8ccef647b70f0d9ade","tags":["size_categories:n<1K","format:csv",... |
dataset | 1121238634cc/chair_new | null | dataset:1121238634cc/chair_new | 2026-09-26T22:05:14.495503+00:00 | https://huggingface.co/datasets/1121238634cc/chair_new | 1121238634cc | 2026-03-03T14:39:39.000Z | 2026-03-03T14:39:40.000Z | 583e76b64fd9482a9f209f01f2e19d707ae33e89 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69a6f2ab7d8ee1cc91747d82","author":"1121238634cc","createdAt":"2026-03-03T14:39:39.000Z","downloads":1,"gated":false,"id":"1121238634cc/chair_new","lastModified":"2026-03-03T14:39:40.000Z","likes":0,"private":false,"sha":"583e76b64fd9482a9f209f01f2e19d707ae33e89","tags":["region:us"]} |
dataset | 112550099NYCU/AI_capstone_final | null | dataset:112550099NYCU/AI_capstone_final | 2026-09-26T22:20:57.838035+00:00 | https://huggingface.co/datasets/112550099NYCU/AI_capstone_final | 112550099NYCU | 2026-05-15T02:20:19.000Z | 2026-05-15T02:20:19.000Z | 634eb57b3035c0fc971b04dbc6559fe06fc7f97a | null | [
"region:us"
] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a0682e3984538d652effeff","author":"112550099NYCU","createdAt":"2026-05-15T02:20:19.000Z","downloads":2,"gated":false,"id":"112550099NYCU/AI_capstone_final","lastModified":"2026-05-15T02:20:19.000Z","likes":0,"private":false,"sha":"634eb57b3035c0fc971b04dbc6559fe06fc7f97a","tags":["region:us"]} |
dataset | 1129ljc/FMFCC-V | null | dataset:1129ljc/FMFCC-V | 2026-09-26T22:03:41.828568+00:00 | https://huggingface.co/datasets/1129ljc/FMFCC-V | 1129ljc | 2025-12-03T11:47:13.000Z | 2026-05-14T02:26:21.000Z | 30f74ecf72f49b3fee8ef164c2d2046d7a55fa9e | null | [
"license:apache-2.0",
"region:us"
] | apache-2.0 | null | null | null | 16 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69302341f0df0882f60072b5","author":"1129ljc","cardData":{"license":"apache-2.0"},"createdAt":"2025-12-03T11:47:13.000Z","downloads":16,"gated":false,"id":"1129ljc/FMFCC-V","lastModified":"2026-05-14T02:26:21.000Z","likes":0,"private":false,"sha":"30f74ecf72f49b3fee8ef164c2d2046d7a55fa9e","tags":["license:apache... |
dataset | 1129ljc/Video-Inpainting | null | dataset:1129ljc/Video-Inpainting | 2026-09-26T22:03:41.396214+00:00 | https://huggingface.co/datasets/1129ljc/Video-Inpainting | 1129ljc | 2025-12-03T07:46:06.000Z | 2025-12-03T11:52:32.000Z | bcf2fb82a10f79dc135b53246a9a6afa817cb834 | null | [
"license:apache-2.0",
"modality:image",
"region:us"
] | apache-2.0 | null | null | null | 51 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"692feabe42af6d9b1a6c7ae3","author":"1129ljc","cardData":{"license":"apache-2.0"},"createdAt":"2025-12-03T07:46:06.000Z","downloads":51,"gated":false,"id":"1129ljc/Video-Inpainting","lastModified":"2025-12-03T11:52:32.000Z","likes":0,"private":false,"sha":"bcf2fb82a10f79dc135b53246a9a6afa817cb834","tags":["licen... |
dataset | 112bb/test | null | dataset:112bb/test | 2026-09-26T22:07:20.948443+00:00 | https://huggingface.co/datasets/112bb/test | 112bb | 2026-03-04T22:51:51.000Z | 2026-03-04T22:52:03.000Z | b2ebb5fcf258771094487ea9e8943718c6bfa673 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69a8b787f570cb696c17b91c","author":"112bb","createdAt":"2026-03-04T22:51:51.000Z","downloads":1,"gated":false,"id":"112bb/test","lastModified":"2026-03-04T22:52:03.000Z","likes":0,"private":false,"sha":"b2ebb5fcf258771094487ea9e8943718c6bfa673","tags":["region:us"]} |
dataset | 112bb/verl_validation_mmmu_charxiv_mathverse | null | dataset:112bb/verl_validation_mmmu_charxiv_mathverse | 2026-09-26T22:04:29.329715+00:00 | https://huggingface.co/datasets/112bb/verl_validation_mmmu_charxiv_mathverse | 112bb | 2026-01-11T19:33:32.000Z | 2026-01-13T02:02:02.000Z | 3d443f599cb4f7e51ff29af0560aaa9042abcf7c | null | [
"format:optimized-parquet",
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"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 458 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6963fb0c42c82235dee4835b","author":"112bb","createdAt":"2026-01-11T19:33:32.000Z","downloads":458,"gated":false,"id":"112bb/verl_validation_mmmu_charxiv_mathverse","lastModified":"2026-01-13T02:02:02.000Z","likes":0,"private":false,"sha":"3d443f599cb4f7e51ff29af0560aaa9042abcf7c","tags":["size_categories:1K<n<1... |
dataset | 113bommy/ustudy-a7f3 | null | dataset:113bommy/ustudy-a7f3 | 2026-09-26T22:21:34.744861+00:00 | https://huggingface.co/datasets/113bommy/ustudy-a7f3 | 113bommy | 2026-07-25T10:24:22.000Z | 2026-07-25T18:01:28.000Z | fa91090f760bcb49fcc404e45eaa2555c90a385f | null | [
"library:datasets",
"library:mlcroissant",
"modality:video",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 4 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a648ed6ed8cb203767e50bd","author":"113bommy","createdAt":"2026-07-25T10:24:22.000Z","downloads":4,"gated":false,"id":"113bommy/ustudy-a7f3","lastModified":"2026-07-25T18:01:28.000Z","likes":0,"private":false,"sha":"fa91090f760bcb49fcc404e45eaa2555c90a385f","tags":["size_categories:n<1K","modality:video","libra... |
dataset | 114-Digital-Image-Processing-Group18/splat-data | null | dataset:114-Digital-Image-Processing-Group18/splat-data | 2026-09-26T22:03:29.016028+00:00 | https://huggingface.co/datasets/114-Digital-Image-Processing-Group18/splat-data | 114-Digital-Image-Processing-Group18 | 2025-11-18T02:29:09.000Z | 2025-12-06T03:56:58.000Z | 000f06928d597dab33b3f17853d22d8d7b221e5a | null | [
"format:imagefolder",
"library:datasets",
"library:mlcroissant",
"modality:image",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 5 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"691bd9f5c15e193807a52c0d","author":"114-Digital-Image-Processing-Group18","createdAt":"2025-11-18T02:29:09.000Z","downloads":5,"gated":false,"id":"114-Digital-Image-Processing-Group18/splat-data","lastModified":"2025-12-06T03:56:58.000Z","likes":0,"private":false,"sha":"000f06928d597dab33b3f17853d22d8d7b221e5a"... |
dataset | 1143Joana/Speciespdbfiles | null | dataset:1143Joana/Speciespdbfiles | 2026-09-26T22:05:06.380482+00:00 | https://huggingface.co/datasets/1143Joana/Speciespdbfiles | 1143Joana | 2026-02-23T12:57:26.000Z | 2026-02-23T14:49:53.000Z | 5eb1dd100f3393764c7ef3c58c80be6a1d26f719 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"699c4eb6ed5940e63b56b28c","author":"1143Joana","createdAt":"2026-02-23T12:57:26.000Z","downloads":1,"gated":false,"id":"1143Joana/Speciespdbfiles","lastModified":"2026-02-23T14:49:53.000Z","likes":0,"private":false,"sha":"5eb1dd100f3393764c7ef3c58c80be6a1d26f719","tags":["region:us"]} |
dataset | 1143Joana/gPPIpred_code | null | dataset:1143Joana/gPPIpred_code | 2026-09-26T22:00:50.594167+00:00 | https://huggingface.co/datasets/1143Joana/gPPIpred_code | 1143Joana | 2025-07-22T10:14:49.000Z | 2025-07-28T17:03:03.000Z | 11323165e0c3f33e355d3530a46d208c00012440 | null | [
"doi:10.57967/hf/6092",
"license:afl-3.0",
"region:us"
] | afl-3.0 | null | null | null | 29 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"687f64996cf586c1c300adfb","author":"1143Joana","cardData":{"license":"afl-3.0"},"createdAt":"2025-07-22T10:14:49.000Z","downloads":29,"gated":false,"id":"1143Joana/gPPIpred_code","lastModified":"2025-07-28T17:03:03.000Z","likes":0,"private":false,"sha":"11323165e0c3f33e355d3530a46d208c00012440","tags":["license... |
dataset | 1145wang/so100_test | null | dataset:1145wang/so100_test | 2026-09-26T21:59:31.847447+00:00 | https://huggingface.co/datasets/1145wang/so100_test | 1145wang | 2024-12-30T05:59:19.000Z | 2025-03-24T08:12:29.000Z | 5c7407dda65170d9c0f013befed89ee42c40d29d | This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "so100",
"total_episodes": 10,
"total_frames": 3102,
"total_tasks": 1,
"total_videos": 20,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"spli... | [
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"modality:video",
"region:us",
"size_categories:1K<n<10K",
"so100",
"task_categories:robotics",
"tutorial"
] | apache-2.0 | null | null | null | 48 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"677236b7c8995292f5ea2703","author":"1145wang","cardData":{"configs":[{"config_name":"default","data_files":"data/*/*.parquet"}],"license":"apache-2.0","tags":["LeRobot","so100","tutorial"],"task_categories":["robotics"]},"createdAt":"2024-12-30T05:59:19.000Z","description":"This dataset was created using LeRobo... |
dataset | 11541nobody/memlens-anonymous | null | dataset:11541nobody/memlens-anonymous | 2026-09-26T22:22:01.711071+00:00 | https://huggingface.co/datasets/11541nobody/memlens-anonymous | 11541nobody | 2026-09-23T17:17:22.000Z | 2026-09-23T17:21:22.000Z | 1e38c9ee05e131c58bf0960d245350aa3985987c | MemLens — Anonymous Review Dataset
This repository provides the frozen evaluation dataset for the accompanying
anonymous submission. It contains 789 evaluation questions, each available
at four context lengths: 32K, 64K, 128K, and 256K. These are four context
variants of the same questions, not four independent ques... | [
"evaluation",
"language:en",
"license:cc-by-4.0",
"long-context",
"memory",
"multimodal",
"region:us",
"size_categories:n<1K",
"task_categories:question-answering"
] | cc-by-4.0 | null | null | null | 30 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6ab409a24e1dc838b4e46052","author":"11541nobody","cardData":{"language":["en"],"license":"cc-by-4.0","pretty_name":"MemLens (Anonymous Review)","size_categories":["n<1K"],"tags":["multimodal","long-context","memory","evaluation"],"task_categories":["question-answering"]},"createdAt":"2026-09-23T17:17:22.000Z","... |
dataset | 1159rp/92k-real-world-call-center-scripts-english | null | dataset:1159rp/92k-real-world-call-center-scripts-english | 2026-09-26T22:05:02.635640+00:00 | https://huggingface.co/datasets/1159rp/92k-real-world-call-center-scripts-english | 1159rp | 2026-02-17T14:04:05.000Z | 2026-02-17T14:04:05.000Z | fb5fcc6d689a6fd3bf091737956cc0b3003b2449 | ArXiv Paper Publication Here: "Real-World En Call Center Transcripts Dataset with PII Redaction"
This dataset includes 91,706 high-quality transcriptions corresponding to approximately 10,500 hours of real-world call center conversations in English, collected across various industries and global regions. The dataset fe... | [
"arxiv:2507.02958",
"language:en",
"license:cc-by-nc-4.0",
"region:us",
"size_categories:10K<n<100K"
] | cc-by-nc-4.0 | null | null | null | 7 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69947555dcb4d03a9dc0cf3d","author":"1159rp","cardData":{"language":["en"],"license":"cc-by-nc-4.0","size_categories":["10K<n<100K"]},"createdAt":"2026-02-17T14:04:05.000Z","description":"ArXiv Paper Publication Here: \"Real-World En Call Center Transcripts Dataset with PII Redaction\"\nThis dataset includes 91,... |
dataset | 1165342500Ww/datasets | null | dataset:1165342500Ww/datasets | 2026-09-26T22:02:25.674644+00:00 | https://huggingface.co/datasets/1165342500Ww/datasets | 1165342500Ww | 2025-08-02T13:17:45.000Z | 2025-08-02T13:35:00.000Z | 875363091536c8fa108562e5abbdd2557ee632c4 | null | [
"region:us"
] | null | null | null | null | 18 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"688e0ff988e7b57f6a624cd1","author":"1165342500Ww","createdAt":"2025-08-02T13:17:45.000Z","downloads":18,"gated":false,"id":"1165342500Ww/datasets","lastModified":"2025-08-02T13:35:00.000Z","likes":1,"private":false,"sha":"875363091536c8fa108562e5abbdd2557ee632c4","tags":["region:us"]} |
dataset | 1165342500Ww/my-processed-data | null | dataset:1165342500Ww/my-processed-data | 2026-09-26T22:02:25.674644+00:00 | https://huggingface.co/datasets/1165342500Ww/my-processed-data | 1165342500Ww | 2025-08-02T11:29:41.000Z | 2025-08-02T13:06:44.000Z | 55d4d98d7909a8887fe75a721b02534813f7ae06 | null | [
"format:json",
"library:dask",
"library:datasets",
"library:mlcroissant",
"modality:text",
"region:us",
"size_categories:100K<n<1M"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"688df6a59e09af7dc4a0cf6c","author":"1165342500Ww","createdAt":"2025-08-02T11:29:41.000Z","downloads":1,"gated":false,"id":"1165342500Ww/my-processed-data","lastModified":"2025-08-02T13:06:44.000Z","likes":0,"private":false,"sha":"55d4d98d7909a8887fe75a721b02534813f7ae06","tags":["size_categories:100K<n<1M","for... |
dataset | 11Alex11/freiblick_captions_english | null | dataset:11Alex11/freiblick_captions_english | 2026-09-26T21:58:21.101748+00:00 | https://huggingface.co/datasets/11Alex11/freiblick_captions_english | 11Alex11 | 2023-11-29T15:39:58.000Z | 2023-11-29T15:40:52.000Z | 0b91ea43ecc2bcc594b1bcd61165a44d5540ab02 | null | [
"format:json",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 4 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"65675b4e5808298301abb3df","author":"11Alex11","createdAt":"2023-11-29T15:39:58.000Z","downloads":4,"gated":false,"id":"11Alex11/freiblick_captions_english","lastModified":"2023-11-29T15:40:52.000Z","likes":0,"private":false,"sha":"0b91ea43ecc2bcc594b1bcd61165a44d5540ab02","tags":["size_categories:n<1K","format:... |
dataset | 11NIU11/uav_navigation_tree_right_lerobot | null | dataset:11NIU11/uav_navigation_tree_right_lerobot | 2026-09-26T22:03:19.626157+00:00 | https://huggingface.co/datasets/11NIU11/uav_navigation_tree_right_lerobot | 11NIU11 | 2025-11-03T10:45:17.000Z | 2025-11-03T10:45:19.000Z | 656872795e9e4d834f1cfdaca16157199a62160c | null | [
"format:optimized-parquet",
"format:parquet",
"library:dask",
"library:datasets",
"library:mlcroissant",
"library:polars",
"modality:tabular",
"modality:text",
"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 35 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"690887bd79a299cf9ba75a19","author":"11NIU11","createdAt":"2025-11-03T10:45:17.000Z","downloads":35,"gated":false,"id":"11NIU11/uav_navigation_tree_right_lerobot","lastModified":"2025-11-03T10:45:19.000Z","likes":0,"private":false,"sha":"656872795e9e4d834f1cfdaca16157199a62160c","tags":["size_categories:1K<n<10K... |
dataset | 11NOel11/ChaosBench-Logic | null | dataset:11NOel11/ChaosBench-Logic | 2026-09-26T22:04:13.933657+00:00 | https://huggingface.co/datasets/11NOel11/ChaosBench-Logic | 11NOel11 | 2026-01-03T12:39:17.000Z | 2026-03-26T00:01:38.000Z | 1f9d361b3e17ee8d7d96d14136c330f38dc79f0c | Dataset Card: ChaosBench-Logic
Dataset Summary
ChaosBench-Logic is a benchmark dataset for evaluating Large Language Model reasoning capabilities on dynamical systems and chaos theory. The dataset tests logical inference, symbolic manipulation, multi-hop reasoning, indicator diagnostics, regime transition... | [
"language:en",
"license:cc-by-4.0",
"region:us",
"size_categories:10K<n<100K",
"task_categories:text-classification"
] | cc-by-4.0 | null | null | null | 119 | 2 | false | false | [] | base_model | [] | [] | [] | {"_id":"69590df5a50a975be8b41360","author":"11NOel11","cardData":{"language":["en"],"license":"cc-by-4.0","pretty_name":"ChaosBench-Logic","size_categories":["10K<n<100K"],"task_categories":["text-classification"]},"createdAt":"2026-01-03T12:39:17.000Z","description":"\n\t\n\t\t\n\t\tDataset Card: ChaosBench-Logic\n\t\... |
dataset | 11Wang/SentinelHub | null | dataset:11Wang/SentinelHub | 2026-09-26T22:00:26.843541+00:00 | https://huggingface.co/datasets/11Wang/SentinelHub | 11Wang | 2025-05-24T10:26:58.000Z | 2025-06-05T09:04:07.000Z | ebe4c103765b89e555302b2fd612352d4f7950a9 | null | [
"format:json",
"library:dask",
"library:datasets",
"library:mlcroissant",
"license:apache-2.0",
"modality:text",
"region:us",
"size_categories:n<1K"
] | apache-2.0 | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"68319ef20ed0a5b1919ec28a","author":"11Wang","cardData":{"license":"apache-2.0"},"createdAt":"2025-05-24T10:26:58.000Z","downloads":1,"gated":false,"id":"11Wang/SentinelHub","lastModified":"2025-06-05T09:04:07.000Z","likes":0,"private":false,"sha":"ebe4c103765b89e555302b2fd612352d4f7950a9","tags":["license:apach... |
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