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 | 267Certvas/certvas-af-macro-sample | null | dataset:267Certvas/certvas-af-macro-sample | 2026-09-26T22:21:35.132799+00:00 | https://huggingface.co/datasets/267Certvas/certvas-af-macro-sample | 267Certvas | 2026-07-26T19:52:20.000Z | 2026-09-13T15:17:08.000Z | f6acbeb00031eb84a9d6697dfc7089c465764a8d | AF-MACRO — sample package
License-clean African & emerging-markets macroeconomic indicators, cited to their published source series, provenance-documented. See PROVENANCE.md and LICENSE.txt.
Quickstart
import duckdb, pandas as pd
df = duckdb.sql("select * from 'data/gold_macro.parquet'").df() # or re... | [
"africa",
"emerging-markets",
"finance",
"fundamentals",
"language:en",
"license:cc-by-4.0",
"point-in-time",
"procurement",
"region:us",
"size_categories:n<1K"
] | cc-by-4.0 | null | null | null | 172 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a6665743f47b6978d1b24ba","author":"267Certvas","cardData":{"language":["en"],"license":"cc-by-4.0","pretty_name":"Certvas AF-MACRO sample","size_categories":["n<1K"],"tags":["finance","fundamentals","procurement","africa","emerging-markets","point-in-time"]},"createdAt":"2026-07-26T19:52:20.000Z","description"... |
dataset | 267Certvas/certvas-af-tender-sample | null | dataset:267Certvas/certvas-af-tender-sample | 2026-09-26T22:21:35.132799+00:00 | https://huggingface.co/datasets/267Certvas/certvas-af-tender-sample | 267Certvas | 2026-07-26T19:45:52.000Z | 2026-09-13T15:17:12.000Z | 19ac89b094bbceb1cec99078fb544152e7d37aaa | AF-TENDER — sample package
License-clean African public procurement on the Open Contracting Data Standard (OCDS) — organisations only, provenance-documented. See PROVENANCE.md and LICENSE.txt.
Quickstart
import duckdb, pandas as pd
df = duckdb.sql("select * from 'data/gold_tender.parquet'").df() # or... | [
"africa",
"emerging-markets",
"finance",
"format:parquet",
"fundamentals",
"language:en",
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"license:cc-by-4.0",
"modality:text",
"point-in-time",
"procurement",
"region:us",
"size_categories:n<1K"
] | cc-by-4.0 | null | null | null | 145 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a6663f02938e9e362228d6b","author":"267Certvas","cardData":{"language":["en"],"license":"cc-by-4.0","pretty_name":"Certvas AF-TENDER sample","size_categories":["n<1K"],"tags":["finance","fundamentals","procurement","africa","emerging-markets","point-in-time"]},"createdAt":"2026-07-26T19:45:52.000Z","description... |
dataset | 26B-Suite/Gemma4-FinetuneKit | null | dataset:26B-Suite/Gemma4-FinetuneKit | 2026-09-26T22:21:44.164749+00:00 | https://huggingface.co/datasets/26B-Suite/Gemma4-FinetuneKit | 26B-Suite | 2026-08-17T11:40:49.000Z | 2026-08-25T09:14:42.000Z | aaa284ae7edfe327640a39f5fb95c015fc7c7382 | [!NOTE]
⚠️ Note: Use Pytorch template 2.4. This works best on 12B because it is specifically calibrated for A100 SXM on runpod. Download v2 for multiarch support.
💎 Gemma 4 Finetune Kit
by @Naphula
Here is the complete, start-to-finish guide using .tar.gz and your exact Hugging Face repository (26B-Su... | [
"format:text",
"library:datasets",
"library:mlcroissant",
"modality:image",
"modality:text",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 91 | 0 | false | false | [] | base_model | [] | [] | [
"26B-Suite/Gemma4-FinetuneKit-v2"
] | {"_id":"6a82f3412b5779f15ad4d545","author":"26B-Suite","cardData":{"new_version":"26B-Suite/Gemma4-FinetuneKit-v2","widget":[{"output":{"url":"https://cdn-uploads.huggingface.co/production/uploads/6a6224ff09ac9553a11a5a08/ONgXvof74HqYaAy_SebaV.png"},"text":"Gemma4-FinetuneKit"}]},"createdAt":"2026-08-17T11:40:49.000Z",... |
dataset | 26B-Suite/Gemma4-FinetuneKit-v2 | null | dataset:26B-Suite/Gemma4-FinetuneKit-v2 | 2026-09-26T22:21:47.127139+00:00 | https://huggingface.co/datasets/26B-Suite/Gemma4-FinetuneKit-v2 | 26B-Suite | 2026-08-24T10:40:24.000Z | 2026-08-25T09:14:44.000Z | b88880cdccdca29fbb70ba6d8c271c9c34f08eac | [!WARNING]
⚠️ Note: Not fully functional yet, still in progress.
[!NOTE]
⚠️ Note: Use Pytorch template 2.4. This version has multiarch + python 3.11/3.12 support.
💎 Gemma 4 Finetune Kit v2
by @Naphula
Version 2 adds MultiArch support for easier finetuning of 26B/31B
You can literally... | [
"format:text",
"library:datasets",
"library:mlcroissant",
"modality:image",
"modality:text",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 50 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a8c1f98c7bb166043c031e1","author":"26B-Suite","cardData":{"widget":[{"output":{"url":"https://cdn-uploads.huggingface.co/production/uploads/6a6224ff09ac9553a11a5a08/ONgXvof74HqYaAy_SebaV.png"},"text":"Gemma4-FinetuneKit-v2"}]},"createdAt":"2026-08-24T10:40:24.000Z","description":"\n[!WARNING]\n\u26a0\ufe0f Not... |
dataset | 26PaperSubmission/66-45-229-210-all_data-pub | null | dataset:26PaperSubmission/66-45-229-210-all_data-pub | 2026-09-26T22:22:00.939999+00:00 | https://huggingface.co/datasets/26PaperSubmission/66-45-229-210-all_data-pub | 26PaperSubmission | 2026-09-22T06:59:25.000Z | 2026-09-22T07:58:42.000Z | e982f6dfd6bb228644f68906a2eb78674094996f | null | [
"region:us"
] | null | null | null | null | 39 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6ab2274d6823cc28ae7c4031","author":"26PaperSubmission","createdAt":"2026-09-22T06:59:25.000Z","downloads":39,"gated":false,"id":"26PaperSubmission/66-45-229-210-all_data-pub","lastModified":"2026-09-22T07:58:42.000Z","likes":0,"private":false,"sha":"e982f6dfd6bb228644f68906a2eb78674094996f","tags":["region:us"]... |
dataset | 26PaperSubmission/lessleak-bench | null | dataset:26PaperSubmission/lessleak-bench | 2026-09-26T22:20:53.865209+00:00 | https://huggingface.co/datasets/26PaperSubmission/lessleak-bench | 26PaperSubmission | 2026-05-07T05:28:23.000Z | 2026-05-07T07:07:40.000Z | 1d051e62be7006c40fb68fa33b4e2ba515173edc | LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks
This dataset contains 6,691 pairs of SE benchmark samples and their corresponding LLM pre-training data, manually verified for data leakage.
📊 Dataset Overview
Each row in this dataset represents a pai... | [
"benchmark",
"code",
"data-leakage",
"format:json",
"language:code",
"language:en",
"leakage-detection",
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"library:polars",
"llm",
"modality:tabular",
"modality:text",
"programming",
"region:us",
"se-benchmarks",
"size_cat... | null | null | null | null | 89 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69fc22f752d5b7509e93cdfa","author":"26PaperSubmission","cardData":{"language":["en","code"],"size_categories":["n<10K"],"tags":["code","programming","software-engineering","benchmark","leakage-detection","se-benchmarks","data-leakage","llm"],"task_categories":["text-generation"]},"createdAt":"2026-05-07T05:28:2... |
dataset | 26PaperSubmission/repo-vul | null | dataset:26PaperSubmission/repo-vul | 2026-09-26T22:20:54.163983+00:00 | https://huggingface.co/datasets/26PaperSubmission/repo-vul | 26PaperSubmission | 2026-05-07T05:34:23.000Z | 2026-05-07T07:08:08.000Z | 6cb38084b68cf333d0633af704d2937f27dd8c79 | RepoVul Dataset
Repo-level Vulnerability Detection Dataset for Fine-tuning Lightweight LLMs
Dataset Description
RepoVul is a comprehensive dataset for repository-level vulnerability detection. This subset contains training, validation, and test data for fine-tuning lightweight Large Language Models (LLMs)... | [
"format:json",
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"license:mit",
"modality:text",
"region:us",
"size_categories:100K<n<1M",
"task_categories:text-classification"
] | mit | null | null | null | 108 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69fc245f56a99b94ee87db5d","author":"26PaperSubmission","cardData":{"language":["en","code"],"license":"mit","pretty_name":"RepoVul","size_categories":["100K<n<1M"],"task_categories":["text-classification","code-generation"]},"createdAt":"2026-05-07T05:34:23.000Z","description":"\n\t\n\t\t\n\t\tRepoVul Dataset\n... |
dataset | 26TCA/HDI-Dataset | null | dataset:26TCA/HDI-Dataset | 2026-09-26T22:21:18.859140+00:00 | https://huggingface.co/datasets/26TCA/HDI-Dataset | 26TCA | 2026-06-21T12:06:49.000Z | 2026-06-22T07:38:45.000Z | 0f475138668c48f684ab67042b136c9b245efcf2 | High-Density Human Interaction (HDI) Dataset
Official ECCV 2026 release for the paper "Temporal and Cross-modal Alignment for Enhanced Audiovisual Video Captioning."
The High-Density Human Interaction (HDI) Dataset contains 3,527 short audiovisual clips paired with dense captions. The dataset is curated for challeng... | [
"audiovisual-captioning",
"eccv-2026",
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"region:us",
"size_categories:1K<n<10K",
"task_categories:video-text-to-text",
... | cc-by-nc-sa-4.0 | null | null | null | 93 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a37d3d934f0213d9c52a087","author":"26TCA","cardData":{"language":["en"],"license":"cc-by-nc-sa-4.0","pretty_name":"High-Density Human Interaction Dataset","tags":["video","eccv-2026","audiovisual-captioning"],"task_categories":["video-text-to-text"]},"createdAt":"2026-06-21T12:06:49.000Z","description":"\n\t\n... |
dataset | 26TCA/TCA-Bench | null | dataset:26TCA/TCA-Bench | 2026-09-26T22:21:18.859140+00:00 | https://huggingface.co/datasets/26TCA/TCA-Bench | 26TCA | 2026-06-21T13:09:46.000Z | 2026-06-22T07:38:44.000Z | 95fa689f1ec3c0cc47644c224de2de3ea5415308 | TCA-Bench
Official ECCV 2026 benchmark release for the paper "Temporal and Cross-modal Alignment for Enhanced Audiovisual Video Captioning."
TCA-Bench is a diagnostic benchmark for audiovisual video captioning. It evaluates base audio/visual perception, audio-visual binding, and cross-modal temporal reasoning using ... | [
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"size_categories:n<1K",
"task_categories:video-text-to-text",
"video"
] | cc-by-nc-sa-4.0 | null | null | null | 187 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a37e29ae3fcb82ac4aa584c","author":"26TCA","cardData":{"language":["en"],"license":"cc-by-nc-sa-4.0","pretty_name":"TCA-Bench","tags":["video","eccv-2026","audiovisual-captioning"],"task_categories":["video-text-to-text"]},"createdAt":"2026-06-21T13:09:46.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tTCA-Bench\n... |
dataset | 26hzhang/math_7.5k_qwen2.5-math-7b_rollout_n_10 | null | dataset:26hzhang/math_7.5k_qwen2.5-math-7b_rollout_n_10 | 2026-09-26T22:03:27.863362+00:00 | https://huggingface.co/datasets/26hzhang/math_7.5k_qwen2.5-math-7b_rollout_n_10 | 26hzhang | 2025-11-15T17:30:55.000Z | 2025-11-15T17:30:59.000Z | 5e22eb52a525adb1d1a51b2cc26c3ba6b3427593 | null | [
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"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 20 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6918b8cfe195942bdfccc039","author":"26hzhang","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":212150790,"download_size":70005602,"features":[{"list":[{"dtype":"string","name":"content"},{"dtype":"string","name":"role"}],"nam... |
dataset | 26hzhang/math_7.5k_qwen3-1.7b_rollout_n_10 | null | dataset:26hzhang/math_7.5k_qwen3-1.7b_rollout_n_10 | 2026-09-26T22:03:26.441634+00:00 | https://huggingface.co/datasets/26hzhang/math_7.5k_qwen3-1.7b_rollout_n_10 | 26hzhang | 2025-11-14T05:22:00.000Z | 2025-11-14T05:22:11.000Z | e7b81e876af37b4d23fd5ccca827f81b4d5259e9 | null | [
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"size_categories:1K<n<10K"
] | null | null | null | null | 10 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6916bc78f885558f39358875","author":"26hzhang","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":788668975,"download_size":274950128,"features":[{"list":[{"dtype":"string","name":"content"},{"dtype":"string","name":"role"}],"na... |
dataset | 26hzhang/math_7.5k_qwen3-4b_rollout_n_10 | null | dataset:26hzhang/math_7.5k_qwen3-4b_rollout_n_10 | 2026-09-26T22:03:22.112229+00:00 | https://huggingface.co/datasets/26hzhang/math_7.5k_qwen3-4b_rollout_n_10 | 26hzhang | 2025-11-07T10:09:32.000Z | 2025-11-07T10:09:41.000Z | 5360b829d6b8f8dbf3f58d56c3a2682418787ad1 | null | [
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"size_categories:1K<n<10K"
] | null | null | null | null | 11 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"690dc55c92a1bb7939fefb7a","author":"26hzhang","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":660396356,"download_size":232104888,"features":[{"list":[{"dtype":"string","name":"content"},{"dtype":"string","name":"role"}],"na... |
dataset | 26hzhang/math_dapo_qwen2.5-math-7b_rollout_n_10 | null | dataset:26hzhang/math_dapo_qwen2.5-math-7b_rollout_n_10 | 2026-09-26T22:03:27.863362+00:00 | https://huggingface.co/datasets/26hzhang/math_dapo_qwen2.5-math-7b_rollout_n_10 | 26hzhang | 2025-11-15T18:30:50.000Z | 2025-11-15T18:30:58.000Z | c0c78f1d9a4a99efad4b27da586bd9d7fb5cc7ce | null | [
"format:optimized-parquet",
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"modality:text",
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"size_categories:10K<n<100K"
] | null | null | null | null | 17 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6918c6da1eec548928a34dac","author":"26hzhang","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":566376042,"download_size":180633200,"features":[{"list":[{"dtype":"string","name":"content"},{"dtype":"string","name":"role"}],"na... |
dataset | 26hzhang/math_dapo_qwen3-1.7b_rollout_n_10 | null | dataset:26hzhang/math_dapo_qwen3-1.7b_rollout_n_10 | 2026-09-26T22:03:27.159802+00:00 | https://huggingface.co/datasets/26hzhang/math_dapo_qwen3-1.7b_rollout_n_10 | 26hzhang | 2025-11-15T12:59:23.000Z | 2025-11-15T13:00:03.000Z | 3d76f1e65fdba453daf3c57d642c2ecae090b315 | null | [
"format:optimized-parquet",
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"size_categories:10K<n<100K"
] | null | null | null | null | 18 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6918792be195942bdfc9c88e","author":"26hzhang","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":3352035089,"download_size":1180094363,"features":[{"list":[{"dtype":"string","name":"content"},{"dtype":"string","name":"role"}],"... |
dataset | 26hzhang/math_dapo_qwen3-4b_rollout_n_10 | null | dataset:26hzhang/math_dapo_qwen3-4b_rollout_n_10 | 2026-09-26T22:03:24.616696+00:00 | https://huggingface.co/datasets/26hzhang/math_dapo_qwen3-4b_rollout_n_10 | 26hzhang | 2025-11-11T09:00:14.000Z | 2025-11-11T09:00:55.000Z | 7cb54e7cf30ebb14f51d85a7bb52b2d9ed55d503 | null | [
"format:optimized-parquet",
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"size_categories:10K<n<100K"
] | null | null | null | null | 27 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6912fb1e9a38bc215440212a","author":"26hzhang","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":3494411120,"download_size":1258704002,"features":[{"list":[{"dtype":"string","name":"content"},{"dtype":"string","name":"role"}],"... |
dataset | 26justiny/il_gym | null | dataset:26justiny/il_gym | 2026-09-26T22:00:36.174398+00:00 | https://huggingface.co/datasets/26justiny/il_gym | 26justiny | 2025-06-18T07:49:56.000Z | 2025-06-20T01:23:42.000Z | c966a9d203fe079c0fcb022ae58eb62eb2848470 | null | [
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] | unknown | null | null | null | 49 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"68526fa4b2e33d16a8a6c554","author":"26justiny","cardData":{"license":"unknown"},"createdAt":"2025-06-18T07:49:56.000Z","downloads":49,"gated":false,"id":"26justiny/il_gym","lastModified":"2025-06-20T01:23:42.000Z","likes":0,"private":false,"sha":"c966a9d203fe079c0fcb022ae58eb62eb2848470","tags":["license:unknow... |
dataset | 26victor26/NLP | null | dataset:26victor26/NLP | 2026-09-26T22:03:13.184790+00:00 | https://huggingface.co/datasets/26victor26/NLP | 26victor26 | 2025-10-23T08:34:46.000Z | 2025-10-23T08:34:46.000Z | b48ff6decfcf8f17cd2eee2de7049104a0304f89 | null | [
"license:apache-2.0",
"region:us"
] | apache-2.0 | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"68f9e8a6ad06b96c1843c45f","author":"26victor26","cardData":{"license":"apache-2.0"},"createdAt":"2025-10-23T08:34:46.000Z","downloads":1,"gated":false,"id":"26victor26/NLP","lastModified":"2025-10-23T08:34:46.000Z","likes":0,"private":false,"sha":"b48ff6decfcf8f17cd2eee2de7049104a0304f89","tags":["license:apach... |
dataset | 2709shadow/riko | null | dataset:2709shadow/riko | 2026-09-26T22:02:29.735753+00:00 | https://huggingface.co/datasets/2709shadow/riko | 2709shadow | 2025-08-08T22:02:51.000Z | 2025-08-08T22:03:10.000Z | af137635adc42dc53a47d6de7ffd510d7331e5d2 | null | [
"license:mit",
"region:us"
] | mit | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6896740bcc203055a6fe8fe3","author":"2709shadow","cardData":{"license":"mit"},"createdAt":"2025-08-08T22:02:51.000Z","downloads":1,"gated":false,"id":"2709shadow/riko","lastModified":"2025-08-08T22:03:10.000Z","likes":0,"private":false,"sha":"af137635adc42dc53a47d6de7ffd510d7331e5d2","tags":["license:mit","regio... |
dataset | 2709shadow/testmyproject | null | dataset:2709shadow/testmyproject | 2026-09-26T22:02:29.735753+00:00 | https://huggingface.co/datasets/2709shadow/testmyproject | 2709shadow | 2025-08-08T21:34:39.000Z | 2025-08-08T21:35:02.000Z | 4b1cf953a0be96119c062f0ef31de968169bde92 | null | [
"license:mit",
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] | mit | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"68966d6f00d54d13cd03b5d3","author":"2709shadow","cardData":{"license":"mit"},"createdAt":"2025-08-08T21:34:39.000Z","downloads":1,"gated":false,"id":"2709shadow/testmyproject","lastModified":"2025-08-08T21:35:02.000Z","likes":0,"private":false,"sha":"4b1cf953a0be96119c062f0ef31de968169bde92","tags":["license:mi... |
dataset | 270vision/factor-monitor-evaluation | null | dataset:270vision/factor-monitor-evaluation | 2026-09-26T22:22:01.487850+00:00 | https://huggingface.co/datasets/270vision/factor-monitor-evaluation | 270vision | 2026-09-23T02:08:56.000Z | 2026-09-23T02:10:31.000Z | 292cf0ba372425496cdbbce038c912871a55eb01 | Public Factor Monitor evaluation data
Training rows are intentionally absent. Core and supplemental evaluation
artifacts are included.
Layout
public/: benchmarks whose license allows the task text to be redistributed.
HalluLens remains CC-BY-NC and is not covered by Apache-2.0. MALT reward
hacking an... | [
"license:other",
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] | other | null | null | null | 69 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6ab334b8c02d258c3952c483","author":"270vision","cardData":{"license":"other","pretty_name":"Factor Monitor Evaluation"},"createdAt":"2026-09-23T02:08:56.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tPublic Factor Monitor evaluation data\n\t\n\nTraining rows are intentionally absent. Core and supplemental evaluat... |
dataset | 271754echo/MC2 | null | dataset:271754echo/MC2 | 2026-09-26T22:00:27.741757+00:00 | https://huggingface.co/datasets/271754echo/MC2 | 271754echo | 2025-05-27T06:25:25.000Z | 2025-06-04T00:27:53.000Z | 30542a4cbc4bf5b1f1bc957bfb63f6fa21e09db4 | MC2 Benchmark for Evaluating and Steering Modality Preferences in Multimodal Large Language Models
This repository contains the MC2 benchmark dataset for evaluating modality preference in Multimodal Large Language Models (MLLMs). The benchmark focuses on scenarios with conflicting multimodal evidence, allowing for s... | [
"arxiv:2505.20977",
"license:cc-by-4.0",
"region:us",
"task_categories:image-text-to-text"
] | cc-by-4.0 | null | null | null | 13 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"68355ad56bb42c7e99ce29dd","author":"271754echo","cardData":{"license":"cc-by-4.0","task_categories":["image-text-to-text"]},"createdAt":"2025-05-27T06:25:25.000Z","description":"\n\t\n\t\t\n\t\tMC2 Benchmark for Evaluating and Steering Modality Preferences in Multimodal Large Language Models\n\t\n\nThis reposit... |
dataset | 271754echo/Q-KGR | null | dataset:271754echo/Q-KGR | 2026-09-26T21:59:14.100693+00:00 | https://huggingface.co/datasets/271754echo/Q-KGR | 271754echo | 2024-10-04T04:57:58.000Z | 2024-10-04T04:57:58.000Z | bc005e0ec9ccde8933364a4e107aebaa7b3a9db0 | null | [
"license:apache-2.0",
"region:us"
] | apache-2.0 | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"66ff75d62f0dc1b2316accfa","author":"271754echo","cardData":{"license":"apache-2.0"},"createdAt":"2024-10-04T04:57:58.000Z","downloads":1,"gated":false,"id":"271754echo/Q-KGR","lastModified":"2024-10-04T04:57:58.000Z","likes":0,"private":false,"sha":"bc005e0ec9ccde8933364a4e107aebaa7b3a9db0","tags":["license:apa... |
dataset | 27299a/MME-RealWorld-Lite | null | dataset:27299a/MME-RealWorld-Lite | 2026-09-26T22:21:33.434196+00:00 | https://huggingface.co/datasets/27299a/MME-RealWorld-Lite | 27299a | 2026-07-22T16:12:23.000Z | 2026-07-22T16:12:23.000Z | fbe60f2a4e075a70b0d6d409944adc6efcf5e6c8 | 2024.11.14 🌟 MME-RealWorld now has a lite version (50 samples per task, or all if fewer than 50) for inference acceleration, which is also supported by VLMEvalKit and Lmms-eval.
2024.09.03 🌟 MME-RealWorld is now supported in the VLMEvalKit and Lmms-eval repository, enabling one-click evaluation—give it a try!"
2024.... | [
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] | null | null | null | null | 9 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a60ebe73fee0cf6eaba8331","author":"27299a","createdAt":"2026-07-22T16:12:23.000Z","description":"\n\n2024.11.14 \ud83c\udf1f MME-RealWorld now has a lite version (50 samples per task, or all if fewer than 50) for inference acceleration, which is also supported by VLMEvalKit and Lmms-eval.\n2024.09.03 \ud83c\ud... |
dataset | 277Meijia/Terra | null | dataset:277Meijia/Terra | 2026-09-26T22:21:27.923817+00:00 | https://huggingface.co/datasets/277Meijia/Terra | 277Meijia | 2026-07-15T06:03:26.000Z | 2026-07-15T06:03:27.000Z | a131ecf7c799c68cd50911be22ef34d14c8092a1 | Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth
Summited NIPS 2024 | [
"license:cc-by-nc-4.0",
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] | cc-by-nc-4.0 | null | null | null | 6 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a5722aea011d585e39aa1da","author":"277Meijia","cardData":{"license":"cc-by-nc-4.0"},"createdAt":"2026-07-15T06:03:26.000Z","description":"Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth\nSummited NIPS 2024\n","downloads":6,"gated":false,"id":"277Meijia/Terra","lastModified":"2026-07-15T06:03:27.... |
dataset | 2796gauravc/agentic-search-chromadb | null | dataset:2796gauravc/agentic-search-chromadb | 2026-09-26T22:20:35.868502+00:00 | https://huggingface.co/datasets/2796gauravc/agentic-search-chromadb | 2796gauravc | 2026-03-28T06:51:31.000Z | 2026-03-28T06:51:34.000Z | 2757826582f3ff0f3db0e0ca137723b0b36c55cc | null | [
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] | null | null | null | null | 7 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69c77a73fca01f4372318292","author":"2796gauravc","createdAt":"2026-03-28T06:51:31.000Z","downloads":7,"gated":false,"id":"2796gauravc/agentic-search-chromadb","lastModified":"2026-03-28T06:51:34.000Z","likes":0,"private":false,"sha":"2757826582f3ff0f3db0e0ca137723b0b36c55cc","tags":["size_categories:n<1K","form... |
dataset | 2796gauravc/agentic-search-data | null | dataset:2796gauravc/agentic-search-data | 2026-09-26T22:20:35.589530+00:00 | https://huggingface.co/datasets/2796gauravc/agentic-search-data | 2796gauravc | 2026-03-27T15:17:27.000Z | 2026-03-28T04:31:50.000Z | c019bb7a38e88dda6217fc8b17007d84fd1a5e55 | Agentic search — synthetic multi-hop retrieval dataset
JSONL artifacts for training and evaluating a retrieval agent across web, finance, legal, code, and science.
Files
File
Description
corpus.jsonl
Unique doc_id passages (supporting + distractor docs) with domain labels
sft_dataset.jsonl
Su... | [
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] | apache-2.0 | null | null | null | 61 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69c69f871978de62dfebc17d","author":"2796gauravc","cardData":{"language":["en"],"license":"apache-2.0","pretty_name":"Agentic Search Multi-hop Retrieval","size_categories":["1K<n<10K"],"tags":["retrieval","multi-hop","synthetic","agentic"],"task_categories":["text-retrieval"]},"createdAt":"2026-03-27T15:17:27.00... |
dataset | 2796gauravc/crescendo-10k | null | dataset:2796gauravc/crescendo-10k | 2026-09-26T22:04:06.688535+00:00 | https://huggingface.co/datasets/2796gauravc/crescendo-10k | 2796gauravc | 2025-12-30T07:53:07.000Z | 2025-12-30T08:03:32.000Z | 71c605fbd76c1df4f1cbfc876bb8b2a3511c75d6 | null | [
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dataset | 2796gauravc/flipattack-20k | null | dataset:2796gauravc/flipattack-20k | 2026-09-26T22:04:06.688535+00:00 | https://huggingface.co/datasets/2796gauravc/flipattack-20k | 2796gauravc | 2025-12-30T07:52:44.000Z | 2025-12-30T08:03:25.000Z | 3a6095e098e2d260a33d0ef3821350026ae05486 | null | [
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dataset | 2796gauravc/mamba-30m-dataset | null | dataset:2796gauravc/mamba-30m-dataset | 2026-09-26T22:04:26.887939+00:00 | https://huggingface.co/datasets/2796gauravc/mamba-30m-dataset | 2796gauravc | 2026-01-09T17:47:04.000Z | 2026-01-09T17:47:39.000Z | 3a99c00d15e2db8735d866bcb3e2c808a7937c88 | null | [
"region:us"
] | null | null | null | null | 11 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69613f1800600e42ae3a14c4","author":"2796gauravc","createdAt":"2026-01-09T17:47:04.000Z","downloads":11,"gated":false,"id":"2796gauravc/mamba-30m-dataset","lastModified":"2026-01-09T17:47:39.000Z","likes":0,"private":false,"sha":"3a99c00d15e2db8735d866bcb3e2c808a7937c88","tags":["region:us"]} |
dataset | 2796gauravc/notifai-notifications-en | null | dataset:2796gauravc/notifai-notifications-en | 2026-09-26T22:05:14.495503+00:00 | https://huggingface.co/datasets/2796gauravc/notifai-notifications-en | 2796gauravc | 2026-03-03T10:27:23.000Z | 2026-03-03T12:49:47.000Z | dd0564da90fa60e60e11899f3d1b1a77882b91af | null | [
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] | null | null | null | null | 7 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69a6b78ba308c2271416b94b","author":"2796gauravc","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"},{"path":"data/test-*","split":"test"}]}],"dataset_info":{"dataset_size":1181308,"download_size":318368,"features":[{"dtype":"string","name":"app"},{"dtype":"stri... |
dataset | 2796gauravc/pocketassist-training-data | null | dataset:2796gauravc/pocketassist-training-data | 2026-09-26T22:05:03.155124+00:00 | https://huggingface.co/datasets/2796gauravc/pocketassist-training-data | 2796gauravc | 2026-02-17T16:02:17.000Z | 2026-02-17T16:02:22.000Z | 4bb38b57260f5e0c751b361627b9224535dfede1 | null | [
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] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69949109396c91d2363d40f1","author":"2796gauravc","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":53590,"download_size":19625,"features":[{"dtype":"string","name":"user_input"},{"dtype":"string","name":"function_name"},{"dtyp... |
dataset | 2796gauravc/pocketassist-training-data-v3 | null | dataset:2796gauravc/pocketassist-training-data-v3 | 2026-09-26T22:05:03.155124+00:00 | https://huggingface.co/datasets/2796gauravc/pocketassist-training-data-v3 | 2796gauravc | 2026-02-17T18:13:26.000Z | 2026-02-17T18:13:29.000Z | 8964a3462ae34d52d026071048cef75f4996349a | null | [
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] | null | null | null | null | 9 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6994afc6fc58fb46e54b4d0b","author":"2796gauravc","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":104647,"download_size":30361,"features":[{"dtype":"string","name":"user_input"},{"dtype":"string","name":"function_name"},{"dty... |
dataset | 2796gauravc/pycoder-dataset | null | dataset:2796gauravc/pycoder-dataset | 2026-09-26T22:20:35.008108+00:00 | https://huggingface.co/datasets/2796gauravc/pycoder-dataset | 2796gauravc | 2026-03-26T11:16:36.000Z | 2026-03-26T11:16:45.000Z | 6b0d7885cf3803c881247421336f8aa154e678b4 | null | [
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] | null | null | null | null | 19 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69c515942f0c6609762c9a0e","author":"2796gauravc","createdAt":"2026-03-26T11:16:36.000Z","downloads":19,"gated":false,"id":"2796gauravc/pycoder-dataset","lastModified":"2026-03-26T11:16:45.000Z","likes":0,"private":false,"sha":"6b0d7885cf3803c881247421336f8aa154e678b4","tags":["size_categories:10K<n<100K","forma... |
dataset | 2796gauravc/pycoder-lfm2.5-agentic-dataset | null | dataset:2796gauravc/pycoder-lfm2.5-agentic-dataset | 2026-09-26T22:20:35.008108+00:00 | https://huggingface.co/datasets/2796gauravc/pycoder-lfm2.5-agentic-dataset | 2796gauravc | 2026-03-26T12:28:35.000Z | 2026-03-26T13:50:42.000Z | e2632636d39b6201b29a74ede0057d018b8fa554 | null | [
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] | null | null | null | null | 13 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69c52673565a9a7cd2f404b2","author":"2796gauravc","createdAt":"2026-03-26T12:28:35.000Z","downloads":13,"gated":false,"id":"2796gauravc/pycoder-lfm2.5-agentic-dataset","lastModified":"2026-03-26T13:50:42.000Z","likes":0,"private":false,"sha":"e2632636d39b6201b29a74ede0057d018b8fa554","tags":["size_categories:10K... |
dataset | 2796gauravc/smollm2-30m-tokens-35M | null | dataset:2796gauravc/smollm2-30m-tokens-35M | 2026-09-26T22:04:26.305395+00:00 | https://huggingface.co/datasets/2796gauravc/smollm2-30m-tokens-35M | 2796gauravc | 2026-01-09T05:27:38.000Z | 2026-01-09T05:28:06.000Z | fb2334aacca241c48add56d1acc909999996c8a8 | null | [
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] | null | null | null | null | 17 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"696091ca4b1761f4d0cffad1","author":"2796gauravc","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":280000000,"download_size":111961439,"features":[{"dtype":"int64","name":"tokens"}],"splits":[{"name":"train","num_bytes":280000... |
dataset | 2796gauravc/tinystories-filtered-train | null | dataset:2796gauravc/tinystories-filtered-train | 2026-09-26T22:04:26.887939+00:00 | https://huggingface.co/datasets/2796gauravc/tinystories-filtered-train | 2796gauravc | 2026-01-09T15:03:26.000Z | 2026-01-09T15:03:33.000Z | a5bdc2044ab99e5aea0d06af770d08d9555b3cce | null | [
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] | null | null | null | null | 8 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"696118beb60efedb9ddf2e3d","author":"2796gauravc","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":61620000,"download_size":12477948,"features":[{"list":"int64","name":"token_ids"}],"splits":[{"name":"train","num_bytes":616200... |
dataset | 27Group/Feriji | null | dataset:27Group/Feriji | 2026-09-26T22:00:04.586913+00:00 | https://huggingface.co/datasets/27Group/Feriji | 27Group | 2025-04-07T10:20:49.000Z | 2025-08-27T12:43:40.000Z | 6b32bde6fdee7516894063472c29ae6ddd0053b5 | Feriji: A French-Zarma Parallel Corpus, Glossary & Translator
This dataset repository contains Feriji, the first robust French-Zarma parallel corpus and glossary designed for machine translation (MT), as introduced in the paper "Feriji: A French-Zarma Parallel Corpus, Glossary & Translator" published at ACL 2024 (St... | [
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] | cc-by-nc-4.0 | null | null | null | 12 | 2 | auto | false | [] | base_model | [] | [] | [] | {"_id":"67f3a7011bc6a0020870684d","author":"27Group","cardData":{"configs":[{"config_name":"corpus","data_files":[{"path":["corpus/fr_dje.jsonl"],"split":"train"}]},{"config_name":"glossary","data_files":[{"path":["glossary/glossary.csv"],"split":"train"}]},{"config_name":"monolingual_zarma","data_files":[{"path":["mon... |
dataset | 27Group/GrainBench_Private | null | dataset:27Group/GrainBench_Private | 2026-09-26T22:20:41.747069+00:00 | https://huggingface.co/datasets/27Group/GrainBench_Private | 27Group | 2026-04-13T17:25:20.000Z | 2026-04-17T19:58:52.000Z | 034a5c86dc44daf16dce57362ee9ccb6d41a7ea9 | GrainBench Private
Held-out test split for GrainBench. Contains hard high-density images
(Rice >= 173 grains, Beans >= 122 grains) plus original test images,
each in 4 rotations (0, 90, 180, 270 degrees). | [
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dataset | 27Group/GrainBench_Public | null | dataset:27Group/GrainBench_Public | 2026-09-26T22:20:41.747069+00:00 | https://huggingface.co/datasets/27Group/GrainBench_Public | 27Group | 2026-04-13T19:29:03.000Z | 2026-04-24T17:45:01.000Z | fbe0bd5b5e18681cd989d6e0238e931f1c8658b9 | GrainBench (Public Split)
GrainBench is a dataset and public benchmark for dense object counting in images of rice and beans. This repository hosts the public development split only. A separate private split of 1468 images is held internally and evaluated through a public leaderboard.
What the dataset contai... | [
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"task_categories:image-classification"
] | null | null | null | null | 1 | 0 | manual | false | [] | base_model | [] | [] | [] | {"_id":"69dd43ff8594eff666237395","author":"27Group","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":16429937803,"download_size":13720989222,"features":[{"dtype":"image","name":"image"},{"dtype":"string","name":"grain_name"},{"dtype... |
dataset | 27Group/InstructLR_Generate_Datasets | null | dataset:27Group/InstructLR_Generate_Datasets | 2026-09-26T22:00:22.078075+00:00 | https://huggingface.co/datasets/27Group/InstructLR_Generate_Datasets | 27Group | 2025-05-14T12:41:01.000Z | 2025-09-10T17:26:24.000Z | d8a960bb897e7e14538cfec077e03ecffab7d953 | InstructLR_Generate_Datasets
Description
This dataset collection, generated using the InstructLR framework, provides high-quality instruction-response pairs for low-resource languages (LRLs), specifically Zarma and Bambara. The primary dataset, ZarmaInstruct-5k, contains 5,000 instruction-response pairs a... | [
"Bambara",
"Fulfulde",
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"instruction-tuning",
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"low-resource-languages",
"modality:text",
"region:us",
"size_categories:100K<n<... | cc-by-4.0 | null | null | null | 9 | 1 | manual | false | [] | base_model | [] | [] | [] | {"_id":"68248f5d7d8ed97eceb265b9","author":"27Group","cardData":{"configs":[{"config_name":"ZarmaInstruct-50k","data_files":["dje_50k/dje_50k.jsonl"],"dataset_info":{"features":[{"description":"Original French instruction","name":"instr_fr","type":"string"},{"description":"Translated instruction in Zarma","name":"instr... |
dataset | 27Group/Salan_Raw_Data | null | dataset:27Group/Salan_Raw_Data | 2026-09-26T21:59:59.551478+00:00 | https://huggingface.co/datasets/27Group/Salan_Raw_Data | 27Group | 2025-03-24T22:46:33.000Z | 2025-05-10T05:56:45.000Z | 638dcb0688dc944c81834be30bab4ae97296701e | null | [
"region:us"
] | null | null | null | null | 1 | 1 | manual | false | [] | base_model | [] | [] | [] | {"_id":"67e1e0c9a2377e5ebedcdf7b","author":"27Group","createdAt":"2025-03-24T22:46:33.000Z","downloads":1,"gated":"manual","id":"27Group/Salan_Raw_Data","lastModified":"2025-05-10T05:56:45.000Z","likes":1,"private":false,"sha":"638dcb0688dc944c81834be30bab4ae97296701e","tags":["region:us"]} |
dataset | 27Group/ZarmaLanguageRules | null | dataset:27Group/ZarmaLanguageRules | 2026-09-26T22:02:36.301605+00:00 | https://huggingface.co/datasets/27Group/ZarmaLanguageRules | 27Group | 2025-08-24T00:38:57.000Z | 2025-08-24T01:00:09.000Z | 728953951f1d0164a620c09d004a80805803479a | Description
This repo contains 20 grammar rules for Zarma language. The rules were create as part of the R2T project which is a proof of concept of a paradigm: Principled Learning (PrL).
Citation
If you use this resource, please use this citation.
@article{r2t2025,
title={R2T: A Case Study in Principled... | [
"Principled Learning",
"bambara",
"dataset",
"format:json",
"language:dje",
"library:datasets",
"library:mlcroissant",
"library:pandas",
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"modality:text",
"model",
"nlp",
"pos-tagging",
"region:us",
"size_categories:n<1K",
"task... | cc-by-4.0 | null | null | null | 19 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"68aa5f217688157066b4b82c","author":"27Group","cardData":{"configs":[{"config_name":"rules","data_files":[{"path":["zarma_rules.jsonl"],"split":"train"}]}],"language":"dje","license":"cc-by-4.0","size_categories":["n<1K"],"tags":["Principled Learning","nlp","low-resource","pos-tagging","zarma","bambara","dataset... |
dataset | 27Group/Zarma_NER | null | dataset:27Group/Zarma_NER | 2026-09-26T22:02:39.418838+00:00 | https://huggingface.co/datasets/27Group/Zarma_NER | 27Group | 2025-08-29T14:23:00.000Z | 2025-08-30T21:03:21.000Z | 9db49262f8cd33ca6b0ff73c9347d4824967b93d | ZarmaNER-600 Dataset
Dataset Description
ZarmaNER-600 is a gold-standard dataset for Named Entity Recognition (NER) in Zarma. This dataset contains 600 manually annotated sentences, making it the first publicly available NER corpus for Zarma. It was created to support research in low-resource NLP, particu... | [
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"principled-learning",
"region:us",
"size_categories:n<1K",
"task_categories:question-answerin... | cc-by-4.0 | null | null | null | 5 | 0 | auto | false | [] | base_model | [] | [] | [] | {"_id":"68b1b7c44e9727175231b919","author":"27Group","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"NER_GOLD/zarma_NER.jsonl","split":"gold"}]}],"language":["dje"],"license":"cc-by-4.0","pretty_name":"ZarmaNER-600","size_categories":["n<1K"],"tags":["low-resource-nlp","zarma","named-entity-recog... |
dataset | 27Group/Zarma_POS | null | dataset:27Group/Zarma_POS | 2026-09-26T22:02:33.407838+00:00 | https://huggingface.co/datasets/27Group/Zarma_POS | 27Group | 2025-08-18T16:59:53.000Z | 2025-10-17T19:48:49.000Z | 086abe18dc7354a82a1e95f7af89b4d49f382022 | Zarma_POS Dataset
Overview
The Zarma_POS dataset is a part-of-speech (POS) tagged corpus for the Zarma language, derived from the 27Group/Feriji dataset's fr_dje_corpus subset.
Each entry in the dataset contains:
text: The original Zarma sentence.
tokens: A list of tokenized words and punctuation.
tags: ... | [
"NLP",
"POS",
"Zarma",
"arxiv:2510.13854",
"format:json",
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"modality:text",
"region:us",
"size_categories:10K<n<100K",
"task_categories:feature-extraction",
"task_categori... | cc-by-4.0 | null | null | null | 10 | 0 | auto | false | [] | base_model | [] | [] | [] | {"_id":"68a35c09afd899bf1e7dc3d3","author":"27Group","cardData":{"configs":[{"config_name":"gold","data_files":[{"path":["ZarmaPOS/zarPOS_gold.jsonl"],"split":"train"}]},{"config_name":"large","data_files":[{"path":["ZarmaPOS_Full/ZarPOS_dataset.jsonl"],"split":"train"}]}],"language":"dje","license":"cc-by-4.0","size_c... |
dataset | 27Group/noisy_zarma | null | dataset:27Group/noisy_zarma | 2026-09-26T22:02:31.456639+00:00 | https://huggingface.co/datasets/27Group/noisy_zarma | 27Group | 2025-08-13T02:41:48.000Z | 2025-08-13T15:45:30.000Z | f6f22a437a9bce0147ef6b7ffefcf3e9fe468319 | Zarma Noisy Dataset
Overview
The Zarma Noisy Dataset is a collection of Zarma sentences with artificially introduced noise to simulate human-like errors. This dataset is designed for tasks such as grammatical error correction (GEC), text denoising, and robustness testing in natural language processing (NL... | [
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"size_categories:100K<n<1M",
"task_categories:fill-mask",
"task_categories:question-answering",
"task_cate... | cc-by-sa-4.0 | null | null | null | 13 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"689bfb6c5038b8840b7a8834","author":"27Group","cardData":{"language":["dje"],"license":"cc-by-sa-4.0","name":"Zarma Noisy Dataset","size_categories":["100K<n<1M"],"source":"Derived from monolingual Zarma dataset","task_categories":["text-classification","text-generation","fill-mask","question-answering"],"versio... |
dataset | 27Group/salan | null | dataset:27Group/salan | 2026-09-26T22:00:28.925857+00:00 | https://huggingface.co/datasets/27Group/salan | 27Group | 2025-05-28T20:30:03.000Z | 2025-05-30T04:22:02.000Z | f812a727264541ec7d4a7d0f74554a9dc38b4aab | null | [
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] | null | null | null | null | 4 | 0 | manual | false | [] | base_model | [] | [] | [] | {"_id":"6837724b7aa6a0fe23ddae94","author":"27Group","cardData":{"dataset_info":{"builder_name":"webdataset","data_files":[{"path":["audio/bdm/bdm.tar"],"split":"bdm"},{"path":["audio/dje/dje.tar"],"split":"dje"},{"path":["audio/dzg/dzg.tar"],"split":"dzg"},{"path":["audio/ful/ful.tar"],"split":"ful"},{"path":["audio/g... |
dataset | 27Group/shared_task | null | dataset:27Group/shared_task | 2026-09-26T22:04:46.865693+00:00 | https://huggingface.co/datasets/27Group/shared_task | 27Group | 2026-01-28T13:57:21.000Z | 2026-01-28T14:02:23.000Z | 2ad91d19332cfe8c61f38884939f0c5e09c08285 | null | [
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] | null | null | null | null | 1 | 0 | manual | false | [] | base_model | [] | [] | [] | {"_id":"697a15c18d9a8559d00495f4","author":"27Group","cardData":{"configs":[{"config_name":"ar","data_files":[{"path":"ar/train-*","split":"train"}]},{"config_name":"de","data_files":[{"path":"de/train-*","split":"train"}]},{"config_name":"en","data_files":[{"path":"en/train-*","split":"train"}]},{"config_name":"es","d... |
dataset | 27Group/split_salan | null | dataset:27Group/split_salan | 2026-09-26T22:00:25.335043+00:00 | https://huggingface.co/datasets/27Group/split_salan | 27Group | 2025-05-20T14:42:47.000Z | 2025-05-22T19:23:36.000Z | 3bf2efcb6ee3789cb23679d3b1dd80d95a5b13d1 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | manual | false | [] | base_model | [] | [] | [] | {"_id":"682c94e7f5a73b86c06e2e88","author":"27Group","createdAt":"2025-05-20T14:42:47.000Z","downloads":1,"gated":"manual","id":"27Group/split_salan","lastModified":"2025-05-22T19:23:36.000Z","likes":0,"private":false,"sha":"3bf2efcb6ee3789cb23679d3b1dd80d95a5b13d1","tags":["region:us"]} |
dataset | 27Group/tamasheq_collection | null | dataset:27Group/tamasheq_collection | 2026-09-26T22:00:06.541112+00:00 | https://huggingface.co/datasets/27Group/tamasheq_collection | 27Group | 2025-04-12T23:33:29.000Z | 2025-04-13T01:08:37.000Z | a93c5d24ae09492fa2e835a72d3fd4e49f9ea961 | null | [
"english",
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"language:taq",
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"niger",
"parallel-corpus",
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"size_categories:100K<n<1M",
"tamasheq",
"task_categories:fill-mask",
"task_categories:text-classification",
"task_categories:token-classification",
... | cc-by-nc-4.0 | null | null | null | 8 | 0 | auto | false | [] | base_model | [] | [] | [] | {"_id":"67faf849edbd902d85795930","author":"27Group","cardData":{"configs":[{"config_name":"taq_en_corpus","data_files":[{"path":["corpus/taq_en_corpus.csv"],"split":"corpus"}]},{"config_name":"monolingual","data_files":[{"path":["monolingual/taq_monolingual.txt"],"split":"monolingual"}]}],"language":["taq","en"],"lice... |
dataset | 27Praveen/adhd-dataset | null | dataset:27Praveen/adhd-dataset | 2026-09-26T21:59:50.652931+00:00 | https://huggingface.co/datasets/27Praveen/adhd-dataset | 27Praveen | 2025-03-03T07:21:27.000Z | 2025-03-03T07:21:29.000Z | 53f14d268b9c682cb1c115b858b610c519c2ac2c | null | [
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"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 6 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"67c55877a92e3fdc41b6b9d2","author":"27Praveen","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":109,"download_size":1283,"features":[{"dtype":"string","name":"question"},{"dtype":"string","name":"answer"}],"splits":[{"name":"... |
dataset | 27aryan/amitabbachchan | null | dataset:27aryan/amitabbachchan | 2026-09-26T21:58:21.517610+00:00 | https://huggingface.co/datasets/27aryan/amitabbachchan | 27aryan | 2023-12-01T18:48:54.000Z | 2023-12-01T18:59:31.000Z | e947009674caa047f7bbcdfaf9bbb1b0f5dbc67c | null | [
"format:audiofolder",
"library:datasets",
"library:mlcroissant",
"license:other",
"modality:audio",
"region:us",
"size_categories:n<1K"
] | other | null | null | null | 9 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"656a2a969ced9d5ff5f36abb","author":"27aryan","cardData":{"license":"other","license_link":"LICENSE","license_name":"other"},"createdAt":"2023-12-01T18:48:54.000Z","downloads":9,"gated":false,"id":"27aryan/amitabbachchan","lastModified":"2023-12-01T18:59:31.000Z","likes":0,"private":false,"sha":"e947009674caa047... |
dataset | 27hues/indic-tts-en-hi-60min | null | dataset:27hues/indic-tts-en-hi-60min | 2026-09-26T22:21:16.864924+00:00 | https://huggingface.co/datasets/27hues/indic-tts-en-hi-60min | 27hues | 2026-06-17T13:28:10.000Z | 2026-06-18T16:45:25.000Z | 487d5d2d647deb8efe72cc3b981046c9703d13a8 | Indic TTS Dataset : Indian English & Hindi (71 min)
This is a curated speech dataset for Text-to-Speech model training, covering two Indic language variants: Indian English (en-IN) and Hindi (hi-IN). This has been built as part of a data curation pipeline using Sarvam AI APIs.
Data Pipeline Source Code : https://gi... | [
"format:parquet",
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"size_categories:n<1K",
"speech",
"task_categories:text-to-speech",... | other | null | null | null | 7 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a32a0ea85ac7d5955d322d9","author":"27hues","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":204710639,"download_size":202590082,"features":[{"dtype":{"audio":{"sampling_rate":24000}},"name":"audio"},{"dtype":"string","name":... |
dataset | 281-visionary-fourier/defactify_max_cropped_dataset | null | dataset:281-visionary-fourier/defactify_max_cropped_dataset | 2026-09-26T22:05:00.031002+00:00 | https://huggingface.co/datasets/281-visionary-fourier/defactify_max_cropped_dataset | 281-visionary-fourier | 2026-02-13T23:14:22.000Z | 2026-02-15T21:16:06.000Z | e611c295abcf1caa48b5b7ad10729df2505565ae | null | [
"format:optimized-parquet",
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"license:mit",
"modality:image",
"modality:text",
"region:us",
"size_categories:10K<n<100K"
] | mit | null | null | null | 54 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"698fb04e3a18b48742f5efe0","author":"281-visionary-fourier","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"},{"path":"data/validation-*","split":"validation"},{"path":"data/test-*","split":"test"}]}],"dataset_info":{"features":[{"dtype":"string","name":"Captio... |
dataset | 28fanCylust/1girlanna | null | dataset:28fanCylust/1girlanna | 2026-09-26T22:00:31.445800+00:00 | https://huggingface.co/datasets/28fanCylust/1girlanna | 28fanCylust | 2025-06-05T15:27:18.000Z | 2025-06-05T15:27:18.000Z | b79a730b72e09d303b956438378e7dd744dc70c3 | null | [
"license:unlicense",
"region:us"
] | unlicense | null | null | null | 8 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6841b7560330a33067dc1632","author":"28fanCylust","cardData":{"license":"unlicense"},"createdAt":"2025-06-05T15:27:18.000Z","downloads":8,"gated":false,"id":"28fanCylust/1girlanna","lastModified":"2025-06-05T15:27:18.000Z","likes":0,"private":false,"sha":"b79a730b72e09d303b956438378e7dd744dc70c3","tags":["licens... |
dataset | 28fanCylust/1girlanna2 | null | dataset:28fanCylust/1girlanna2 | 2026-09-26T22:00:31.445800+00:00 | https://huggingface.co/datasets/28fanCylust/1girlanna2 | 28fanCylust | 2025-06-05T15:29:28.000Z | 2025-06-05T15:29:28.000Z | 41e5a586d54e85fe6530922ba4a41c50b10c4d5c | null | [
"license:unlicense",
"region:us"
] | unlicense | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6841b7d823fd718df4cdd2ab","author":"28fanCylust","cardData":{"license":"unlicense"},"createdAt":"2025-06-05T15:29:28.000Z","downloads":3,"gated":false,"id":"28fanCylust/1girlanna2","lastModified":"2025-06-05T15:29:28.000Z","likes":0,"private":false,"sha":"41e5a586d54e85fe6530922ba4a41c50b10c4d5c","tags":["licen... |
dataset | 28fanCylust/1girlobe | null | dataset:28fanCylust/1girlobe | 2026-09-26T22:00:30.135328+00:00 | https://huggingface.co/datasets/28fanCylust/1girlobe | 28fanCylust | 2025-06-02T15:38:05.000Z | 2025-06-02T15:39:33.000Z | 84a7dbdae861a0c338a4a8e55a79e61adb4d3dc9 | null | [
"face",
"language:en",
"license:unlicense",
"realistic",
"region:us",
"size_categories:1M<n<10M",
"task_categories:text-to-image",
"train"
] | unlicense | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"683dc55d155710943f38df43","author":"28fanCylust","cardData":{"language":["en"],"license":"unlicense","pretty_name":"1girlobe","size_categories":["1M<n<10M"],"tags":["realistic","face","train"],"task_categories":["text-to-image"]},"createdAt":"2025-06-02T15:38:05.000Z","downloads":1,"gated":false,"id":"28fanCylu... |
dataset | 28hery/starlink-ground-stations | null | dataset:28hery/starlink-ground-stations | 2026-09-26T22:20:41.426242+00:00 | https://huggingface.co/datasets/28hery/starlink-ground-stations | 28hery | 2026-04-13T08:09:27.000Z | 2026-04-13T08:09:27.000Z | 5d0e3511a8b8ba49e3d1c775a80d490ad7a5559b | Starlink Ground Stations & Points of Presence
Credit: NASA
Part of the Orbital Mechanics Datasets collection on Hugging Face.
Dataset description
Starlink ground infrastructure data: gateway earth stations and internet Points of Presence (PoPs). Gateway earth stations maintain continuous Ka-ba... | [
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"ground-stations",
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"modality:geospatial",
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"modality:text",
"open-data",
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"satellite-int... | cc-by-4.0 | null | null | null | 98 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69dca4b73245ef9561884a92","author":"28hery","cardData":{"configs":[{"config_name":"gateways","data_files":[{"path":"data/gateways.parquet","split":"train"}],"default":true},{"config_name":"pops","data_files":[{"path":"data/pops.parquet","split":"train"}]}],"description":"Worldwide Starlink gateway and Point of ... |
dataset | 28ii/OpenMetalAI-OMol25 | null | dataset:28ii/OpenMetalAI-OMol25 | 2026-09-26T22:04:13.510537+00:00 | https://huggingface.co/datasets/28ii/OpenMetalAI-OMol25 | 28ii | 2026-01-03T03:20:47.000Z | 2026-01-03T06:26:29.000Z | c41c8f0507626cd03cecc725303f4b3d57b2f80a | null | [
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"library:polars",
"modality:tabular",
"modality:text",
"region:us",
"size_categories:1M<n<10M"
] | null | null | null | null | 265 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"69588b0fdf172c4fd95afbf6","author":"28ii","createdAt":"2026-01-03T03:20:47.000Z","downloads":265,"gated":false,"id":"28ii/OpenMetalAI-OMol25","lastModified":"2026-01-03T06:26:29.000Z","likes":1,"private":false,"sha":"c41c8f0507626cd03cecc725303f4b3d57b2f80a","tags":["size_categories:1M<n<10M","format:parquet","... |
dataset | 28ii/leishmania-md-results | null | dataset:28ii/leishmania-md-results | 2026-09-26T22:04:35.212500+00:00 | https://huggingface.co/datasets/28ii/leishmania-md-results | 28ii | 2026-01-16T04:15:24.000Z | 2026-01-16T04:17:18.000Z | 54c08159aa6158c7d907682f1bbaac906108e3d1 | null | [
"region:us"
] | null | null | null | null | 4 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6969bb5c3e3da85000a999a2","author":"28ii","createdAt":"2026-01-16T04:15:24.000Z","downloads":4,"gated":false,"id":"28ii/leishmania-md-results","lastModified":"2026-01-16T04:17:18.000Z","likes":0,"private":false,"sha":"54c08159aa6158c7d907682f1bbaac906108e3d1","tags":["region:us"]} |
dataset | 28vishalrawal/my_test_dataset | null | dataset:28vishalrawal/my_test_dataset | 2026-09-26T22:20:33.722726+00:00 | https://huggingface.co/datasets/28vishalrawal/my_test_dataset | 28vishalrawal | 2026-03-23T01:47:14.000Z | 2026-03-23T01:47:17.000Z | b18be4e512b117309cc34d6064c0f0c9b981d711 | null | [
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dataset | 290Xiaomei/290dataset | null | dataset:290Xiaomei/290dataset | 2026-09-26T21:58:47.115771+00:00 | https://huggingface.co/datasets/290Xiaomei/290dataset | 290Xiaomei | 2024-05-06T20:03:05.000Z | 2024-05-06T20:03:05.000Z | 794b13d9e6b63af8a98cbe64d99d02077ce8ee5d | null | [
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dataset | 2999a/platzo | null | dataset:2999a/platzo | 2026-09-26T22:03:23.915277+00:00 | https://huggingface.co/datasets/2999a/platzo | 2999a | 2025-11-10T17:43:36.000Z | 2025-11-10T17:43:36.000Z | b10f55f43ed3935a2ae10ad2057997247ad3daa7 | null | [
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dataset | 29J/SNA | null | dataset:29J/SNA | 2026-09-26T21:59:18.886374+00:00 | https://huggingface.co/datasets/29J/SNA | 29J | 2024-10-30T08:31:50.000Z | 2024-10-30T08:47:39.000Z | d115cf5d4b0a7d25e822bb02d9dbd40196c66820 | RobArch: Designing Robust Architectures against Adversarial Attacks
ShengYun Peng, Weilin Xu, Cory Cornelius, Kevin Li, Rahul Duggal, Duen Horng Chau, Jason Martin
Check https://github.com/ShengYun-Peng/RobArch for the complete code.
Abstract
Adversarial Training is the most effective approach for improv... | [
"adversarial machine learning",
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] | mit | null | null | null | 17 | 0 | false | false | [] | base_model | [
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dataset | 2A2I-R/DIBT-Arabic-Dataset-145s-Responses-v2 | null | dataset:2A2I-R/DIBT-Arabic-Dataset-145s-Responses-v2 | 2026-09-26T21:58:44.168594+00:00 | https://huggingface.co/datasets/2A2I-R/DIBT-Arabic-Dataset-145s-Responses-v2 | 2A2I-R | 2024-04-16T12:02:45.000Z | 2024-04-16T12:04:26.000Z | 110df1bfcd752899f75c1bb3af9b6a044b5bb3db | null | [
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dataset | 2A2I-R/DIBT-Arabic-Dataset_145s-Responses | null | dataset:2A2I-R/DIBT-Arabic-Dataset_145s-Responses | 2026-09-26T21:58:43.576166+00:00 | https://huggingface.co/datasets/2A2I-R/DIBT-Arabic-Dataset_145s-Responses | 2A2I-R | 2024-04-15T00:55:36.000Z | 2024-04-15T00:55:37.000Z | 1575798d2b71db353792f94a245b08c6bbf93bce | null | [
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dataset | 2A2I-R/DIBT-Arabic-Dataset_150s | null | dataset:2A2I-R/DIBT-Arabic-Dataset_150s | 2026-09-26T21:58:38.150118+00:00 | https://huggingface.co/datasets/2A2I-R/DIBT-Arabic-Dataset_150s | 2A2I-R | 2024-03-12T22:12:15.000Z | 2024-03-12T22:12:17.000Z | bf402330d79d3de45d6ed1bd18326f193cf6731e | null | [
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dataset | 2A2I-R/MMLU-Darija | null | dataset:2A2I-R/MMLU-Darija | 2026-09-26T21:58:46.084929+00:00 | https://huggingface.co/datasets/2A2I-R/MMLU-Darija | 2A2I-R | 2024-04-28T23:03:17.000Z | 2024-05-02T14:21:47.000Z | 9a4652f94297a7d0299165ffe74ea5e0520c12bb | DO NOT USE THIS DATASET !
AWFUL QUALITY !
WE ARE WORKING ON BETTER VERSION OF THE TRANSLATION MODEL | [
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dataset | 2A2I-R/dibt_10k_prompts_ranked_arabic | null | dataset:2A2I-R/dibt_10k_prompts_ranked_arabic | 2026-09-26T21:58:37.215705+00:00 | https://huggingface.co/datasets/2A2I-R/dibt_10k_prompts_ranked_arabic | 2A2I-R | 2024-03-07T13:35:34.000Z | 2024-03-07T13:36:02.000Z | fc3402e6ccfd78104dbf0a05ebf2a49e1a6b8852 | null | [
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dataset | 2A2I/Arabic-OpenHermes-2.5 | null | dataset:2A2I/Arabic-OpenHermes-2.5 | 2026-09-26T21:58:35.001235+00:00 | https://huggingface.co/datasets/2A2I/Arabic-OpenHermes-2.5 | 2A2I | 2024-02-26T17:26:49.000Z | 2024-03-15T16:10:48.000Z | e189719530400126d6a1108f9fef2f55f9a4557f | Dataset Card for "Arabic-OpenHermes-2.5"
Dataset Sources & Infos
Data Origin: Derived from the original OpenHermes dataset : teknium/OpenHermes-2.5.
Languages: Modern Standard Arabic (MSA)
Applications: Language Modeling
Maintainer: Marwa El Kamil & Mohammed Machrouh
License: Apache-2.0
Ov... | [
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] | apache-2.0 | null | null | null | 603 | 21 | false | false | [] | base_model | [] | [] | [] | {"_id":"65dcc9d95f27009cd9751ec7","author":"2A2I","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":3878191096,"download_size":1685705250,"features":[{"dtype":"string","name":"title"},{"dtype":"string","name":"category"},{"dtype":"str... |
dataset | 2A2I/Arabic_Aya | null | dataset:2A2I/Arabic_Aya | 2026-09-26T21:58:32.726374+00:00 | https://huggingface.co/datasets/2A2I/Arabic_Aya | 2A2I | 2024-02-13T17:16:49.000Z | 2024-03-15T11:08:04.000Z | ff01e536a94848fc8fd56da54f2a79f3e70ac943 | Dataset Card for : Arabic Aya (2A)
Arabic Aya (2A) : A Curated Subset of the Aya Collection for Arabic Language Processing
Dataset Sources & Infos
Data Origin: Derived from 69 subsets of the original Aya datasets : CohereForAI/aya_collection, CohereForAI/aya_dataset, and CohereForAI/aya_ev... | [
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] | apache-2.0 | null | null | null | 2,998 | 16 | false | false | [] | base_model | [] | [] | [] | {"_id":"65cba401877f943912b7d0ed","author":"2A2I","cardData":{"configs":[{"config_name":"CohereForAI-aya_collection-aya_dataset","data_files":[{"path":"CohereForAI-aya_collection-aya_dataset/train-*","split":"train"}]},{"config_name":"CohereForAI-aya_collection-aya_human_annotated","data_files":[{"path":"CohereForAI-ay... |
dataset | 2A2I/Aya-AceGPT.13B.Chat-DPO | null | dataset:2A2I/Aya-AceGPT.13B.Chat-DPO | 2026-09-26T21:58:47.115771+00:00 | https://huggingface.co/datasets/2A2I/Aya-AceGPT.13B.Chat-DPO | 2A2I | 2024-05-07T13:35:24.000Z | 2024-05-16T13:19:02.000Z | 127032def9e1a7c2db5a5f0ce7c30f5211c3830e | Dataset Card for "Aya-AceGPT.13B.Chat-DPO" 🤗
Dataset Sources & Infos
Data Origin: Derived from the Arabic Aya (2A) dataset : 2A2I/Arabic_Aya which is a Curated Subset of the Aya Collection CohereForAI/aya_dataset
Languages: Modern Standard Arabic (MSA)
License: Apache-2.0
Maintainers: Ali Elfilali and M... | [
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dataset | 2A2I/Aya-Aya.23.8B-DPO | null | dataset:2A2I/Aya-Aya.23.8B-DPO | 2026-09-26T21:58:50.575858+00:00 | https://huggingface.co/datasets/2A2I/Aya-Aya.23.8B-DPO | 2A2I | 2024-05-28T11:29:03.000Z | 2024-05-29T00:00:11.000Z | f0febe099c198319fc7feee18117d25a02a5821c | 🤗 Dataset Card for "Aya-Aya.23.8B-DPO"
Dataset Sources & Infos
Data Origin: Derived from the Arabic Aya (2A) dataset : 2A2I/Arabic_Aya which is a Curated Subset of the Aya Collection CohereForAI/aya_dataset
Languages: Modern Standard Arabic (MSA)
License: Apache-2.0
Maintainers: Ali Elfilali and Mohamme... | [
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dataset | 2A2I/Aya-Command.R-DPO | null | dataset:2A2I/Aya-Command.R-DPO | 2026-09-26T21:58:47.374685+00:00 | https://huggingface.co/datasets/2A2I/Aya-Command.R-DPO | 2A2I | 2024-05-09T20:51:09.000Z | 2024-05-16T13:19:51.000Z | 41e39fc599a6481ff95e1f2c7971867dd4dbfbb3 | 🤗 Dataset Card for "Aya-Command.R-DPO"
Dataset Sources & Infos
Data Origin: Derived from the Arabic Aya (2A) dataset : 2A2I/Arabic_Aya which is a Curated Subset of the Aya Collection CohereForAI/aya_dataset
Languages: Modern Standard Arabic (MSA)
License: Apache-2.0
Maintainers: Ali Elfilali and Mohamme... | [
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dataset | 2A2I/Aya-SambaLingo.Arabic.Chat-DPO | null | dataset:2A2I/Aya-SambaLingo.Arabic.Chat-DPO | 2026-09-26T21:58:47.700433+00:00 | https://huggingface.co/datasets/2A2I/Aya-SambaLingo.Arabic.Chat-DPO | 2A2I | 2024-05-10T18:49:15.000Z | 2024-05-25T13:49:47.000Z | 6b0319e79f8549ccf9ad42e94d0a9b0448c7bb74 | Dataset Card for "Aya-SambaLingo.Arabic.Chat-DPO" 🤗
Dataset Sources & Infos
Data Origin: Derived from the Arabic Aya (2A) dataset : 2A2I/Arabic_Aya which is a Curated Subset of the Aya Collection CohereForAI/aya_dataset
Languages: Modern Standard Arabic (MSA)
License: Apache-2.0
Maintainers: Ali Elfilal... | [
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dataset | 2A2I/H4_no_robots | null | dataset:2A2I/H4_no_robots | 2026-09-26T21:58:27.488391+00:00 | https://huggingface.co/datasets/2A2I/H4_no_robots | 2A2I | 2024-01-16T17:18:31.000Z | 2024-02-28T01:22:53.000Z | 9b06407e395e77b2ed07af99567bd80acf7884b6 | Dataset Card for "No Robots" 🙅♂️🤖
Summary
"No Robots" is a dataset consisting of 10,000 instructions and demonstrations, created by professional annotators. It was translated using the Google Cloud Platform Translation API. This dataset can be used to train language models to follow instructions more a... | [
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] | cc-by-nc-4.0 | null | null | null | 37 | 6 | false | false | [] | base_model | [] | [] | [] | {"_id":"65a6ba67bd0c4a98e9e8f041","author":"2A2I","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"},{"path":"data/test-*","split":"test"}]}],"dataset_info":{"dataset_size":17384327,"download_size":11045465,"features":[{"dtype":"string","name":"prompt"},{"dtype":"strin... |
dataset | 2A2I/NoRobots-AceGPT.13B.Chat-DPO | null | dataset:2A2I/NoRobots-AceGPT.13B.Chat-DPO | 2026-09-26T21:58:50.208772+00:00 | https://huggingface.co/datasets/2A2I/NoRobots-AceGPT.13B.Chat-DPO | 2A2I | 2024-05-25T13:43:56.000Z | 2024-05-29T00:14:34.000Z | 64c52e8f96715f91093595be1d38ad7dbbbd7010 | 🤗 Dataset Card for "NoRobots-AceGPT.13B.Chat-DPO"
Dataset Sources & Infos
Data Origin: Derived from the Arabic No Robots dataset : 2A2I/H4_no_robots which is based on the original No Robots dataset inspired from the InstructGPT paper.
Languages: Modern Standard Arabic (MSA)
License: CC BY-NC 4.0
Maintai... | [
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] | apache-2.0 | null | null | null | 23 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6651eb1cff66ec28679cb57f","author":"2A2I","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":19861954,"download_size":10531503,"features":[{"dtype":"string","name":"id"},{"dtype":"string","name":"prompt"},{"list":[{"dtype":"str... |
dataset | 2A2I/NoRobots-Aya.23.8B-DPO | null | dataset:2A2I/NoRobots-Aya.23.8B-DPO | 2026-09-26T21:58:50.208772+00:00 | https://huggingface.co/datasets/2A2I/NoRobots-Aya.23.8B-DPO | 2A2I | 2024-05-25T20:26:12.000Z | 2024-05-29T00:13:36.000Z | db5748a2c6247a08467757f96c790b372048cf05 | 🤗 Dataset Card for "NoRobots-Aya.23.8B-DPO"
Dataset Sources & Infos
Data Origin: Derived from the Arabic No Robots dataset : 2A2I/H4_no_robots which is based on the original No Robots dataset inspired from the InstructGPT paper.
Languages: Modern Standard Arabic (MSA)
License: CC BY-NC 4.0
Maintainers: ... | [
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] | apache-2.0 | null | null | null | 30 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"66524964f8137bb6503172f3","author":"2A2I","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":21292505,"download_size":11187068,"features":[{"dtype":"string","name":"id"},{"dtype":"string","name":"prompt"},{"list":[{"dtype":"str... |
dataset | 2A2I/NoRobots-Command.R-DPO | null | dataset:2A2I/NoRobots-Command.R-DPO | 2026-09-26T21:58:50.575858+00:00 | https://huggingface.co/datasets/2A2I/NoRobots-Command.R-DPO | 2A2I | 2024-05-27T07:55:55.000Z | 2024-05-29T00:14:50.000Z | 80022eb95e9752945ade2829499afe104ec4cdef | 🤗 Dataset Card for "NoRobots-Command.R-DPO"
Dataset Sources & Infos
Data Origin: Derived from the Arabic No Robots dataset : 2A2I/H4_no_robots which is based on the original No Robots dataset inspired from the InstructGPT paper.
Languages: Modern Standard Arabic (MSA)
License: CC BY-NC 4.0
Maintainers: ... | [
"arxiv:2203.02155",
"dpo",
"format:parquet",
"language:ar",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
"modality:text",
"orpo",
"region:us",
"size_categories:1K<n<10K"
] | apache-2.0 | null | null | null | 31 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"66543c8b8ba0ba5329c21a57","author":"2A2I","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":21458503,"download_size":11295724,"features":[{"dtype":"string","name":"id"},{"dtype":"string","name":"prompt"},{"list":[{"dtype":"str... |
dataset | 2A2I/NoRobots-SambaLingo.Arabic.Chat-DPO | null | dataset:2A2I/NoRobots-SambaLingo.Arabic.Chat-DPO | 2026-09-26T21:58:50.208772+00:00 | https://huggingface.co/datasets/2A2I/NoRobots-SambaLingo.Arabic.Chat-DPO | 2A2I | 2024-05-26T10:37:45.000Z | 2024-05-29T00:13:58.000Z | 7bd18b97889cb63f4f9ad63682ec53eea44f34ba | 🤗 Dataset Card for "NoRobots-SambaLingo.Arabic.Chat-DPO"
Dataset Sources & Infos
Data Origin: Derived from the Arabic No Robots dataset : 2A2I/H4_no_robots which is based on the original No Robots dataset inspired from the InstructGPT paper.
Languages: Modern Standard Arabic (MSA)
License: CC BY-NC 4.0
... | [
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"dpo",
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"orpo",
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] | apache-2.0 | null | null | null | 25 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"665310f9da1c9a23c6cf8fc6","author":"2A2I","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":20961105,"download_size":10971910,"features":[{"dtype":"string","name":"id"},{"dtype":"string","name":"prompt"},{"list":[{"dtype":"str... |
dataset | 2A2I/argilla-dpo-mix-7k-arabic | null | dataset:2A2I/argilla-dpo-mix-7k-arabic | 2026-09-26T21:58:38.814299+00:00 | https://huggingface.co/datasets/2A2I/argilla-dpo-mix-7k-arabic | 2A2I | 2024-03-18T21:38:12.000Z | 2024-03-18T21:44:19.000Z | a92b803e736846bab716b7b345cd8ec6ccad8b58 | Dataset Card for "argilla-dpo-mix-7k-arabic"
More Information needed | [
"distilabel",
"dpo",
"format:parquet",
"language:ar",
"library:datasets",
"library:distilabel",
"library:mlcroissant",
"library:pandas",
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"license:mit",
"modality:tabular",
"modality:text",
"region:us",
"size_categories:1K<n<10K",
"synthetic"
] | mit | null | null | null | 31 | 10 | false | false | [] | base_model | [] | [] | [] | {"_id":"65f8b444056d465a38cc25f7","author":"2A2I","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/test-*","split":"test"},{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":69877990,"download_size":30613280,"features":[{"dtype":"string","name":"dataset"},{"dtype":"stri... |
dataset | 2ADT-Consulting/susu-parallel | null | dataset:2ADT-Consulting/susu-parallel | 2026-09-26T22:21:32.129575+00:00 | https://huggingface.co/datasets/2ADT-Consulting/susu-parallel | 2ADT-Consulting | 2026-07-20T11:02:52.000Z | 2026-07-21T08:50:32.000Z | 2d92384adfd95d3720e941557e5033453a208d05 | Susu (Soussou) Parallel and Monolingual Corpus
A multi-source corpus for Susu (Soussou; ISO 639-3 sus), a Mande language of
Guinea that is absent from NLLB-200 and from commercial MT systems. Built to train
2ADT-Consulting/nllb-susu-v2,
one of the first open neural MT systems for Susu.
Configurations
... | [
"african-languages",
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"license:other",
"low-resource",
"machine-translation",
"modality:tabular",
"modality:text",
"region:us",
"size_categories:100... | other | null | null | null | 47 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a5e005c67543c3e1e6a14ad","author":"2ADT-Consulting","cardData":{"configs":[{"config_name":"sus-fr","data_files":[{"path":"sus_fr_train.csv","split":"train"},{"path":"sus_fr_dev.csv","split":"validation"},{"path":"sus_fr_test.csv","split":"test"}]},{"config_name":"sus-en","data_files":[{"path":"sus_en_train.csv... |
dataset | 2AP-RBT/eval_so-101-test_0 | null | dataset:2AP-RBT/eval_so-101-test_0 | 2026-09-26T22:20:45.106583+00:00 | https://huggingface.co/datasets/2AP-RBT/eval_so-101-test_0 | 2AP-RBT | 2026-04-21T08:13:13.000Z | 2026-04-21T08:13:15.000Z | af95720d71d449d49ea36803dac83e9d03d883ab | This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 0,
"total_frames": 0,
"total_tasks": 0,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
... | [
"LeRobot",
"license:apache-2.0",
"region:us",
"task_categories:robotics"
] | apache-2.0 | null | null | null | 15 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69e73199a3c086fed069143e","author":"2AP-RBT","cardData":{"configs":[{"config_name":"default","data_files":"data/*/*.parquet"}],"license":"apache-2.0","tags":["LeRobot"],"task_categories":["robotics"]},"createdAt":"2026-04-21T08:13:13.000Z","description":"This dataset was created using LeRobot.\n\n\t\n\t\t\n\t\n... |
dataset | 2Allight4/SSRM_repro | null | dataset:2Allight4/SSRM_repro | 2026-09-26T21:59:45.599791+00:00 | https://huggingface.co/datasets/2Allight4/SSRM_repro | 2Allight4 | 2025-02-19T12:59:31.000Z | 2025-02-19T13:01:43.000Z | 5eaad99b3d10bf655ec5fa996cf920e2fc74564f | null | [
"format:parquet",
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"library:datasets",
"library:mlcroissant",
"library:polars",
"modality:text",
"region:us",
"size_categories:100K<n<1M"
] | null | null | null | null | 14 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"67b5d5b37a1fa6cc5b7c429b","author":"2Allight4","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":1411210873,"download_size":753972695,"features":[{"list":[{"dtype":"string","name":"content"},{"dtype":"string","name":"role"}],"... |
dataset | 2Allight4/SSRM_reproduce | null | dataset:2Allight4/SSRM_reproduce | 2026-09-26T21:59:39.722916+00:00 | https://huggingface.co/datasets/2Allight4/SSRM_reproduce | 2Allight4 | 2025-01-30T12:04:23.000Z | 2025-01-30T13:47:37.000Z | 39d55ded771ca3be1eb7da245f9496924751cdae | null | [
"format:parquet",
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"library:datasets",
"library:mlcroissant",
"library:polars",
"modality:text",
"region:us",
"size_categories:100K<n<1M"
] | null | null | null | null | 14 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"679b6ac748bc06bf4d8167e1","author":"2Allight4","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":1411210873,"download_size":753997013,"features":[{"list":[{"dtype":"string","name":"content"},{"dtype":"string","name":"role"}],"... |
dataset | 2Allight4/ssrm_process | null | dataset:2Allight4/ssrm_process | 2026-09-26T21:59:44.726352+00:00 | https://huggingface.co/datasets/2Allight4/ssrm_process | 2Allight4 | 2025-02-17T12:53:14.000Z | 2025-02-17T12:54:47.000Z | 4b3acdfa9805cab14f0af6c4a8f2706e469899e6 | null | [
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"library:datasets",
"library:mlcroissant",
"library:polars",
"modality:text",
"region:us",
"size_categories:100K<n<1M"
] | null | null | null | null | 15 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"67b3313a920916d3d678dc3f","author":"2Allight4","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":1411210873,"download_size":753980796,"features":[{"list":[{"dtype":"string","name":"content"},{"dtype":"string","name":"role"}],"... |
dataset | 2Allight4/ssrm_reprod | null | dataset:2Allight4/ssrm_reprod | 2026-09-26T21:59:42.882408+00:00 | https://huggingface.co/datasets/2Allight4/ssrm_reprod | 2Allight4 | 2025-02-10T06:13:47.000Z | 2025-02-10T06:15:14.000Z | 10d21324841a0a3504a2eaef3046332f54aa06ea | null | [
"format:parquet",
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"library:polars",
"license:mit",
"modality:text",
"region:us",
"size_categories:100K<n<1M"
] | mit | null | null | null | 11 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"67a9991b1153810de6c28cf4","author":"2Allight4","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":1411210873,"download_size":753985221,"features":[{"list":[{"dtype":"string","name":"content"},{"dtype":"string","name":"role"}],"... |
dataset | 2D2WFS/1DSQDWSF | null | dataset:2D2WFS/1DSQDWSF | 2026-09-26T22:04:13.510537+00:00 | https://huggingface.co/datasets/2D2WFS/1DSQDWSF | 2D2WFS | 2026-01-03T06:37:29.000Z | 2026-01-03T06:37:29.000Z | 4d0bbe8ddddcfa1eb1ff8b8bd2c2043a2f8f3a04 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6958b929af1ebac7b86d948c","author":"2D2WFS","createdAt":"2026-01-03T06:37:29.000Z","downloads":1,"gated":false,"id":"2D2WFS/1DSQDWSF","lastModified":"2026-01-03T06:37:29.000Z","likes":0,"private":false,"sha":"4d0bbe8ddddcfa1eb1ff8b8bd2c2043a2f8f3a04","tags":["region:us"]} |
dataset | 2D2WFS/1ED1QWF | null | dataset:2D2WFS/1ED1QWF | 2026-09-26T22:04:13.510537+00:00 | https://huggingface.co/datasets/2D2WFS/1ED1QWF | 2D2WFS | 2026-01-03T06:36:20.000Z | 2026-01-03T06:36:20.000Z | 780b0e8eea870fba07d1962ac492459c051a1e25 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6958b8e427b0975343bee190","author":"2D2WFS","createdAt":"2026-01-03T06:36:20.000Z","downloads":1,"gated":false,"id":"2D2WFS/1ED1QWF","lastModified":"2026-01-03T06:36:20.000Z","likes":0,"private":false,"sha":"780b0e8eea870fba07d1962ac492459c051a1e25","tags":["region:us"]} |
dataset | 2D2WFS/1SAD25098 | null | dataset:2D2WFS/1SAD25098 | 2026-09-26T22:04:24.032292+00:00 | https://huggingface.co/datasets/2D2WFS/1SAD25098 | 2D2WFS | 2026-01-07T09:07:43.000Z | 2026-01-07T09:07:43.000Z | ce5eb1e1975c8c89287fe96386fcb23f5532e7c8 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"695e225f1731e22c71c5791c","author":"2D2WFS","createdAt":"2026-01-07T09:07:43.000Z","downloads":1,"gated":false,"id":"2D2WFS/1SAD25098","lastModified":"2026-01-07T09:07:43.000Z","likes":0,"private":false,"sha":"ce5eb1e1975c8c89287fe96386fcb23f5532e7c8","tags":["region:us"]} |
dataset | 2D2WFS/21DWFEG | null | dataset:2D2WFS/21DWFEG | 2026-09-26T22:04:08.462958+00:00 | https://huggingface.co/datasets/2D2WFS/21DWFEG | 2D2WFS | 2025-12-31T04:37:12.000Z | 2025-12-31T04:37:12.000Z | a1ec836b945c9dceea86d453193e811780163347 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6954a878a1a4a4b265b3d58c","author":"2D2WFS","createdAt":"2025-12-31T04:37:12.000Z","downloads":1,"gated":false,"id":"2D2WFS/21DWFEG","lastModified":"2025-12-31T04:37:12.000Z","likes":0,"private":false,"sha":"a1ec836b945c9dceea86d453193e811780163347","tags":["region:us"]} |
dataset | 2D2WFS/21QWDWF | null | dataset:2D2WFS/21QWDWF | 2026-09-26T22:04:08.462958+00:00 | https://huggingface.co/datasets/2D2WFS/21QWDWF | 2D2WFS | 2025-12-31T04:38:19.000Z | 2025-12-31T04:38:19.000Z | 085b1be194f3b8e6ad991eb3a3ab61de6d187aa4 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6954a8bba1a4a4b265b3d7aa","author":"2D2WFS","createdAt":"2025-12-31T04:38:19.000Z","downloads":1,"gated":false,"id":"2D2WFS/21QWDWF","lastModified":"2025-12-31T04:38:19.000Z","likes":0,"private":false,"sha":"085b1be194f3b8e6ad991eb3a3ab61de6d187aa4","tags":["region:us"]} |
dataset | 2D2WFS/23F12540 | null | dataset:2D2WFS/23F12540 | 2026-09-26T22:04:28.642646+00:00 | https://huggingface.co/datasets/2D2WFS/23F12540 | 2D2WFS | 2026-01-11T08:58:04.000Z | 2026-01-11T08:58:04.000Z | 3a76d396b44d76818e70982371221d2ff01d83e7 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6963661c7e8350085b2cd1d5","author":"2D2WFS","createdAt":"2026-01-11T08:58:04.000Z","downloads":1,"gated":false,"id":"2D2WFS/23F12540","lastModified":"2026-01-11T08:58:04.000Z","likes":0,"private":false,"sha":"3a76d396b44d76818e70982371221d2ff01d83e7","tags":["region:us"]} |
dataset | 2D2WFS/2D2DQWF | null | dataset:2D2WFS/2D2DQWF | 2026-09-26T22:04:14.542589+00:00 | https://huggingface.co/datasets/2D2WFS/2D2DQWF | 2D2WFS | 2026-01-04T04:42:18.000Z | 2026-01-04T04:42:18.000Z | 1d908999ff571ae900f6e0603ca04e2d961bd469 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6959efaa27b0975343d3e739","author":"2D2WFS","createdAt":"2026-01-04T04:42:18.000Z","downloads":1,"gated":false,"id":"2D2WFS/2D2DQWF","lastModified":"2026-01-04T04:42:18.000Z","likes":0,"private":false,"sha":"1d908999ff571ae900f6e0603ca04e2d961bd469","tags":["region:us"]} |
dataset | 2D2WFS/2DAF | null | dataset:2D2WFS/2DAF | 2026-09-26T22:04:03.429396+00:00 | https://huggingface.co/datasets/2D2WFS/2DAF | 2D2WFS | 2025-12-28T07:31:23.000Z | 2025-12-28T07:31:23.000Z | 180518165b9403480fa325b69ba57fa06985e397 | null | [
"region:us"
] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6950dccb785ac06cb1f59bbd","author":"2D2WFS","createdAt":"2025-12-28T07:31:23.000Z","downloads":2,"gated":false,"id":"2D2WFS/2DAF","lastModified":"2025-12-28T07:31:23.000Z","likes":0,"private":false,"sha":"180518165b9403480fa325b69ba57fa06985e397","tags":["region:us"]} |
dataset | 2D2WFS/2DAFG | null | dataset:2D2WFS/2DAFG | 2026-09-26T22:04:03.429396+00:00 | https://huggingface.co/datasets/2D2WFS/2DAFG | 2D2WFS | 2025-12-28T07:32:59.000Z | 2025-12-28T07:33:00.000Z | fa33c9b939111a53a80267f0e224e06a3a63da17 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6950dd2b4f715c34ac3e1dc0","author":"2D2WFS","createdAt":"2025-12-28T07:32:59.000Z","downloads":1,"gated":false,"id":"2D2WFS/2DAFG","lastModified":"2025-12-28T07:33:00.000Z","likes":0,"private":false,"sha":"fa33c9b939111a53a80267f0e224e06a3a63da17","tags":["region:us"]} |
dataset | 2D2WFS/2DAFGR | null | dataset:2D2WFS/2DAFGR | 2026-09-26T22:04:03.429396+00:00 | https://huggingface.co/datasets/2D2WFS/2DAFGR | 2D2WFS | 2025-12-28T07:35:05.000Z | 2025-12-28T07:35:06.000Z | 8cdf7946f4c528699eb0b298c7619e9836a01637 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6950dda9785ac06cb1f5b88e","author":"2D2WFS","createdAt":"2025-12-28T07:35:05.000Z","downloads":1,"gated":false,"id":"2D2WFS/2DAFGR","lastModified":"2025-12-28T07:35:06.000Z","likes":0,"private":false,"sha":"8cdf7946f4c528699eb0b298c7619e9836a01637","tags":["region:us"]} |
dataset | 2D2WFS/2DASFWEFG | null | dataset:2D2WFS/2DASFWEFG | 2026-09-26T22:04:10.358442+00:00 | https://huggingface.co/datasets/2D2WFS/2DASFWEFG | 2D2WFS | 2026-01-01T13:21:20.000Z | 2026-01-01T13:21:20.000Z | e03f8b3d54adf8a4659e7ae31d0b424eb1bedd8a | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"695674d0a50a975be88e6d5f","author":"2D2WFS","createdAt":"2026-01-01T13:21:20.000Z","downloads":1,"gated":false,"id":"2D2WFS/2DASFWEFG","lastModified":"2026-01-01T13:21:20.000Z","likes":0,"private":false,"sha":"e03f8b3d54adf8a4659e7ae31d0b424eb1bedd8a","tags":["region:us"]} |
dataset | 2D2WFS/2DE2WF2W | null | dataset:2D2WFS/2DE2WF2W | 2026-09-26T22:04:11.490986+00:00 | https://huggingface.co/datasets/2D2WFS/2DE2WF2W | 2D2WFS | 2026-01-02T07:18:10.000Z | 2026-01-02T07:18:10.000Z | b136ebd76709995de6641f2c82d4acf470b20782 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69577132a50a975be89d331d","author":"2D2WFS","createdAt":"2026-01-02T07:18:10.000Z","downloads":1,"gated":false,"id":"2D2WFS/2DE2WF2W","lastModified":"2026-01-02T07:18:10.000Z","likes":0,"private":false,"sha":"b136ebd76709995de6641f2c82d4acf470b20782","tags":["region:us"]} |
dataset | 2D2WFS/2DF12807 | null | dataset:2D2WFS/2DF12807 | 2026-09-26T22:04:22.418293+00:00 | https://huggingface.co/datasets/2D2WFS/2DF12807 | 2D2WFS | 2026-01-06T14:03:50.000Z | 2026-01-06T14:03:50.000Z | e8da77e7363caa2fea9c7edcf0fe6e1ee1745a93 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"695d164632c870b03c522e9c","author":"2D2WFS","createdAt":"2026-01-06T14:03:50.000Z","downloads":1,"gated":false,"id":"2D2WFS/2DF12807","lastModified":"2026-01-06T14:03:50.000Z","likes":0,"private":false,"sha":"e8da77e7363caa2fea9c7edcf0fe6e1ee1745a93","tags":["region:us"]} |
dataset | 2D2WFS/2DWDWFG | null | dataset:2D2WFS/2DWDWFG | 2026-09-26T22:04:11.490986+00:00 | https://huggingface.co/datasets/2D2WFS/2DWDWFG | 2D2WFS | 2026-01-02T07:20:01.000Z | 2026-01-02T07:20:01.000Z | 7b571316d78b4cf1620b902467f47d2f5b193241 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"695771a1af1ebac7b85b6f5b","author":"2D2WFS","createdAt":"2026-01-02T07:20:01.000Z","downloads":1,"gated":false,"id":"2D2WFS/2DWDWFG","lastModified":"2026-01-02T07:20:01.000Z","likes":0,"private":false,"sha":"7b571316d78b4cf1620b902467f47d2f5b193241","tags":["region:us"]} |
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