Datasets:
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|---|---|---|---|---|---|---|---|---|---|
DCAgent3/swebench_verified_random_100_folders_fresh_gptlongtezos__Qwen3_32B_20260516_063826 | DCAgent3 | 2026-05-16T08:02:52Z | 0 | 0 | [
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drguolai/multimodel_llava_med_zh_instruct_60k | drguolai | 2025-03-27T05:55:56Z | 29 | 0 | [
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... | [] | 2025-03-27T05:37:20Z | 0 | ---
license: apache-2.0
task_categories:
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language:
- zh
tags:
- medical
- biology
size_categories:
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---
Borrowed from https://huggingface.co/datasets/BUAADreamer/llava-med-zh-instruct-60k
Fix the \<image\> placeholder... |
kevin5414/humanoid-dataset-1769436231-3 | kevin5414 | 2026-01-26T14:04:10Z | 6 | 0 | [
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] | [] | 2026-01-26T14:03:53Z | 0 | ---
license: cc-by-4.0
tags:
- robotics
- humanoid
---
# Humanoid Motion Dataset
Auto-generated dataset for training humanoid robots.
|
ashercn97/f1.all.bf1.q2.root-fineweb-edu-regex | ashercn97 | 2025-04-13T23:57:28Z | 19 | 0 | [
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SimbaMaw1547/nglueni | SimbaMaw1547 | 2024-11-18T09:45:53Z | 6 | 0 | [
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supergoose/flan_combined_task373_synthetic_round_tens_place | supergoose | 2025-03-03T01:07:24Z | 4 | 0 | [
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DCAgent3/bfcl_parity_rl__56GPU_base_zclip__exp_rpt_pymethods2test_large__GLM_4_7_swesmit9bda33fd | DCAgent3 | 2026-05-26T18:34:15Z | 0 | 0 | [
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electricsheepafrica/africa-north-east-nigeria-global-acute-malnutrition-prevalence-july-2018 | electricsheepafrica | 2026-04-12T18:40:36Z | 0 | 1 | [
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acroitoru/medical_anomalies_8 | acroitoru | 2025-12-15T09:41:54Z | 40 | 0 | [
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sumit1703/pm25-forecasting-data | sumit1703 | 2026-06-02T12:30:56Z | 0 | 0 | [
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"numpy",
"kaggle",
"aisehack"
] | [] | 2026-06-02T08:55:42Z | 0 | ---
license: mit
tags:
- air-quality
- pm25
- pollution-forecasting
- gradio
- numpy
- kaggle
- aisehack
pretty_name: PM2.5 Forecasting Demo Data
size_categories:
- n<1K
---
# PM2.5 Forecasting Demo Data
This dataset stores the lightweight artifacts used by the Hugging Face Space demo:
https://huggin... |
ayushayush591/slim_orca_mod | ayushayush591 | 2024-06-30T10:36:20Z | 3 | 0 | [
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FrankYuzhe/eval_act_andy_tube_106_40k322421 | FrankYuzhe | 2026-01-21T00:15:43Z | 6 | 0 | [
"task_categories:robotics",
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] | [] | 2026-01-21T00:15:40Z | 0 | ---
license: apache-2.0
task_categories:
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tags:
- LeRobot
configs:
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---
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Ne... |
french-open-data/pat-axe-urbanisme | french-open-data | 2025-11-21T19:13:43Z | 15 | 0 | [
"language:fra",
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"agriculture",
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"justice-sociale",
"nutrition",
"pat",
"restauration-collective",
"sante",
"territoire",
"urbanisme",
"dataset_for_agent"
] | [] | 2025-11-21T19:13:42Z | 0 | ---
language:
- fra
tags:
- agriculture
- alimentation
- economie-alimentaire
- education-alimentaire
- environnement
- gastronomie
- justice-sociale
- nutrition
- pat
- restauration-collective
- sante
- territoire
- urbanisme
- dataset_for_agent
---
# PAT- axe urbanisme
> [!NOTE]
> Ce jeu de données Hugging Face est... |
obiwan96/obiwan96open_web_math_raw_v3_0_25000 | obiwan96 | 2025-02-25T11:18:01Z | 3 | 0 | [
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emailmarketingdataset/israel-business-email-dataset | emailmarketingdataset | 2026-06-02T13:05:38Z | 12 | 0 | [
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] | [] | 2026-03-16T15:31:16Z | 0 | ---
license: cc-by-4.0
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tags:
- market-intelligence
- b2b
- lead-generation
- email-marketing
- business-data
- business-email-list
size_categories:
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task_categories:
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pretty_name: Israel Business Email Database — Market Intelligence Dataset
---
# Israel ... |
King-8/entrepreneurial-readiness-data-v2 | King-8 | 2025-09-06T14:36:23Z | 16 | 0 | [
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pretty_name: Entrepreneurial Readiness (Tabular)
task_categories:
- tabular-regression
license: mit
size_categories:
- 1K<n<10K
---
# Entrepreneurial Readiness (Tabular)
**Target**: `entrepreneurial_readiness` (numeric 0–10)
**Features**: savings_amount, monthly_income, monthly_expenses, monthly_entertainment, s... |
alybet/congobet-cd-144 | alybet | 2026-03-30T13:28:10Z | 0 | 0 | [
"region:us"
] | [] | 2026-03-30T13:28:09Z | 0 | # How to Bet Smart with CongoBet CD
Sports betting has grown into one of the most dynamic segments of the online entertainment industry. With millions of users worldwide, platforms must constantly innovate to remain competitive. CongoBet CD has consistently demonstrated its commitment to excellence by investing in tec... |
extralit-dev/test_import_dataset_from_hub_with_classlabel_d2ef142e-f965-4953-ac3e-c29e66a520b6 | extralit-dev | 2025-06-06T23:43:51Z | 3 | 0 | [
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TacVerse/taccap-g1-pick-up-bread-slices-0709 | TacVerse | 2026-07-09T10:18:10Z | 0 | 0 | [
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] | [] | 2026-07-09T10:17:10Z | 0 | ---
license: apache-2.0
task_categories:
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tags:
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---
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=TacVerse/taccap-g... |
reasoning-proj/exp_rob_dfiltered_DeepSeek-R1-Distill-Qwen-32B_2_madversarial_continue_unrelated_t70 | reasoning-proj | 2025-09-21T01:17:31Z | 2 | 0 | [
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datatab/judita_voice_dataset | datatab | 2025-07-02T20:30:46Z | 10 | 0 | [
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YYT-t/iterative-math-iter1 | YYT-t | 2024-12-26T03:02:34Z | 4 | 0 | [
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tailong-wu/libero_goal_no_noops_1.0.0_lerobot_v3.0 | tailong-wu | 2025-12-25T09:32:29Z | 29 | 0 | [
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] | [] | 2025-12-25T09:32:08Z | 0 | ---
license: apache-2.0
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---
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Ne... |
KangLiao/HyperSim-Absolute-Camera | KangLiao | 2026-07-09T04:21:00Z | 507 | 0 | [
"task_categories:text-to-3d",
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"region:us",
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"Spatial AI",
"Physical AI",
"World Model",
"Camera Parameter",
"HyperSim",
"Generation"
] | [] | 2026-07-02T08:02:56Z | 0 | ---
task_categories:
- text-to-3d
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tags:
- Camera
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- Spatial AI
- Physical AI
- World Model
- Camera Parameter
- HyperSim
- Generation
---
# HyperSim-Absolute-Camera

Per-frame **camera parameter** ... |
nodogoro/cell1_20260518_mohamed-salah_lego-tower-building20260518_091828test | nodogoro | 2026-05-24T01:49:59Z | 0 | 0 | [
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license: apache-2.0
task_categories:
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tags:
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---
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=nodogoro/cell1_20... |
zjandaman/eval_train_simpel_5.9 | zjandaman | 2026-06-23T08:41:14Z | 0 | 0 | [
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license: apache-2.0
task_categories:
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tags:
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configs:
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data_files: data/*/*.parquet
---
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=zjandaman/eval_tr... |
BarryFutureman/vox2_3D_distill_shard_00 | BarryFutureman | 2025-07-12T04:45:33Z | 25 | 0 | [
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haseom/ragas-test-dataset | haseom | 2025-01-06T12:30:14Z | 3 | 0 | [
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averoo/sc_MATLAB | averoo | 2024-06-21T14:01:49Z | 25 | 0 | [
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asingh15/arc-barc-processed-direct-max4k-qwenbase-diagnostic-abs-qwensols-0205-4of24 | asingh15 | 2026-02-09T02:13:10Z | 17 | 0 | [
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] | [] | 2026-02-09T02:12:23Z | 0 | ---
dataset_info:
features:
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dtype: string
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list: string
- name: abstraction_prompt
dtype: string
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dtype: int64
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list: string
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Archit00/bbench-dep-djtransgan | Archit00 | 2026-05-27T09:19:06Z | 0 | 0 | [
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"arxiv:2110.06525",
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] | [] | 2026-05-27T09:19:04Z | 0 | # DJtransGAN: Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks
> This repository contains the code for "[Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks](https://arxiv.org/abs/2110.06525)"
> *2022 IEEE International Conference... |
french-datasets/almanach-LADaS | french-datasets | 2025-03-31T07:54:12Z | 4 | 0 | [
"language:fra",
"region:us"
] | [] | 2025-03-29T20:31:33Z | 0 | ---
language: "fra"
viewer: false
---
Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données [almanach/LADaS](https://huggingface.co/datasets/almanach/LADaS).
|
supergoose/flan_combined_task1542_every_ith_element_from_starting | supergoose | 2025-03-10T14:28:52Z | 3 | 0 | [
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jason1966/algozee_workflow-operations-performance-dataset | jason1966 | 2026-03-31T00:50:01Z | 0 | 0 | [
"license:unknown",
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"kaggle",
"business",
"artificial intelligence",
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] | [] | 2026-03-31T00:50:00Z | 0 | ---
license: unknown
tags:
- kaggle
- business
- artificial intelligence
- nlp
- data analytics
- deep learning
---
# Workflow Operations Performance Dataset
Task-Level Records for Process Efficiency and Operational Analysis
## Dataset Info
- **Source**: [Kaggle](https://www.kaggle.com/datasets/algozee/workflow-ope... |
shreyasharma/step_proofs2 | shreyasharma | 2022-11-26T08:58:26Z | 8 | 1 | [
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jeqcho/qwen-2.5-32b-instruct-dolphin-numbers-run-3 | jeqcho | 2026-02-03T03:56:40Z | 8 | 0 | [
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configs:
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path: data/train-*
---
|
TheFactoryX/edition_2529_shi-labs-oneformer_demo-readymade | TheFactoryX | 2026-01-21T11:18:11Z | 8 | 0 | [
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"readymades",
"art",
"shuffled",
"duchamp"
] | [] | 2026-01-21T11:18:06Z | 0 | ---
tags:
- readymades
- art
- shuffled
- duchamp
license: other
---
# edition_2529_shi-labs-oneformer_demo-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[shi-labs/oneformer_demo](https://huggingface.co/datasets/shi-labs/oneformer_demo)
## Process
This dataset is a "readymade" - inspired by Marcel Du... |
DCAgent/eval-GLM-4.6-stackexchange-overflow-sandboxes-32eps-65k-reasoning_num-train-epoc3e980802 | DCAgent | 2026-01-26T20:08:56Z | 20 | 0 | [
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] | [] | 2026-01-22T00:23:06Z | 0 | ---
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KarsenWahal/newswire-partisanship-frequencies-1912 | KarsenWahal | 2025-02-28T01:44:11Z | 5 | 0 | [
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] | [] | 2025-02-28T01:44:05Z | 0 | ---
dataset_info:
features:
- name: article
dtype: string
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dtype: string
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- name:... |
celsowm/leis_estaduais_rj | celsowm | 2025-05-27T02:05:50Z | 28 | 0 | [
"task_categories:text-generation",
"language:pt",
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"legal"
] | [] | 2025-05-27T01:17:39Z | 0 | ---
task_categories:
- text-generation
language:
- pt
tags:
- legal
--- |
DenyTranDFW/TOYOTA_AUTO_FINANCE_RECEIVABLES_LLC_1131131 | DenyTranDFW | 2026-07-08T03:48:16Z | 44 | 0 | [
"license:gpl",
"size_categories:1M<n<10M",
"format:parquet",
"modality:tabular",
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"library:dask",
"library:polars",
"library:mlcroissant",
"region:us"
] | [] | 2024-08-22T09:47:12Z | 0 | ---
license: gpl
---
| cik | form | accessionNumber | fileNumber | filmNumber | reportDate | url|
| ---------- | ---------- | ---------- | ---------- | ---------- | ---------- | ----------|
| 1131131 | ABS-EE | 0000950131-17-000068 | 333-205778 | 17641407 | 2017-01-31 | https://sec.gov/Archives/edgar/data/113113... |
Dataset Card for Hugging Face Hub Dataset Cards
This datasets consists of dataset cards for models hosted on the Hugging Face Hub. The dataset cards are created by the community and provide information about datasets hosted on the Hugging Face Hub. This dataset is updated on a daily basis and includes publicly available datasets on the Hugging Face Hub.
This dataset is made available to help support users wanting to work with a large number of Dataset Cards from the Hub. We hope that this dataset will help support research in the area of Dataset Cards and their use but the format of this dataset may not be useful for all use cases. If there are other features that you would like to see included in this dataset, please open a new discussion.
Dataset Details
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There are a number of potential uses for this dataset including:
- text mining to find common themes in dataset cards
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[More Information Needed]
Dataset Structure
This dataset has a single split.
Dataset Creation
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We make no effort to anonymize the data. Whilst we don't expect the majority of dataset cards to contain personal or sensitive information, it is possible that some dataset cards may contain this information. Dataset cards may also link to websites or email addresses.
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Dataset cards are created by the community and we do not have any control over the content of the dataset cards. We do not review the content of the dataset cards and we do not make any claims about the accuracy of the information in the dataset cards. Some dataset cards will themselves discuss bias and sometimes this is done by providing examples of bias in either the training data or the responses provided by the dataset. As a result this dataset may contain examples of bias.
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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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