datasetId large_stringlengths 6 121 | card_raw large_stringlengths 10 25.3M | card_text large_stringlengths 0 25.3M | downloads int64 0 2.26M | likes int64 0 9.39k | tags large listlengths 1 7.92k | created_at large_stringdate 2022-03-02 23:29:22 2025-11-12 17:47:45 | last_modified large_stringdate 2021-02-16 03:58:06 2025-11-12 17:57:42 | trending_score float32 0 90 |
|---|---|---|---|---|---|---|---|---|
pkgforge-security/domains |
<p align="center">
<a href="https://github.com/pkgforge-security/domains">
<img src="https://cdn-uploads.huggingface.co/production/uploads/66e82daa04200de7aa4cba26/V6PJzNaHVd_Po5E74GmmC.png" alt="pkgforge" width="256"/></a>
<b><strong> <a href="https://github.com/pkgforge-security/domains">Internet Domains</... |
<p align="center">
<a href="https://github.com/pkgforge-security/domains">
<img src="https://cdn-uploads.huggingface.co/production/uploads/66e82daa04200de7aa4cba26/V6PJzNaHVd_Po5E74GmmC.png" alt="pkgforge" width="256"/></a>
<b><strong> <a href="https://github.com/pkgforge-security/domains">Internet Domains</... | 846 | 2 | [
"license:mit",
"size_categories:10B<n<100B",
"format:text",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us"
] | 2025-03-08T09:15:36+00:00 | 2025-11-12T02:27:23+00:00 | 0 |
OpenSQZ/AutoMathText-V2 |
# 🚀 AutoMathText-V2: A 2.46 Trillion Token AI-Curated STEM Pretraining Dataset
[](https://arxiv.org/abs/2402.07625)
[](https://iiis-ai.github.io/AutoMathText-V2)
[](https://arxiv.org/abs/2402.07625)
[](https://iiis-ai.github.io/AutoMathText-V2)
[.
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 19 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T02:23:53+00:00 | 2025-11-12T02:23:54+00:00 | 0 |
WeiXiCZ/cot_stage2_traj6k |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | 14 | 0 | [
"arxiv:1910.09700",
"region:us"
] | 2025-11-12T02:28:59+00:00 | 2025-11-12T02:29:29+00:00 | 0 |
aiwithvarun7/theekkathir-text-dataset |
<h1 align="center"><b>theekkathir-text-dataset <-> தீக்கதிர் தரவுத்தொகுப்பு</b></h1>
<p align="center">
<img src="https://github.com/user-attachments/assets/3731edf1-70b9-4e0a-98c1-6b89c4e03395" />
</p>
---
<a href="https://github.com/vishnumur777/theekkathir-text-dataset/tree/main">
<p align="center">
<img src=... |
<h1 align="center"><b>theekkathir-text-dataset <-> தீக்கதிர் தரவுத்தொகுப்பு</b></h1>
<p align="center">
<img src="https://github.com/user-attachments/assets/3731edf1-70b9-4e0a-98c1-6b89c4e03395" />
</p>
---
<a href="https://github.com/vishnumur777/theekkathir-text-dataset/tree/main">
<p align="center">
<img src=... | 1,379 | 1 | [
"task_categories:text-generation",
"language:ta",
"license:cc-by-nc-4.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2024-11-02T17:48:43+00:00 | 2025-11-12T02:20:11+00:00 | 0 |
2kxx/Q-Scorer | # Q-Scorer
Datasets of the Q-Scorer paper
(
[codes](https://github.com/2kxx/Q-Scorer) /
[paper](https://arxiv.org/abs/2511.07812)
)
## Dataset Construction
- Download our meta files in this repo.
- Download source images from [KonIQ](https://database.mmsp-kn.de/koniq-10k-database.html),
[SPAQ](https://github.... | # Q-Scorer
Datasets of the Q-Scorer paper
(
[codes](https://github.com/2kxx/Q-Scorer) /
[paper](https://arxiv.org/abs/2511.07812)
)
## Dataset Construction
- Download our meta files in this repo.
- Download source images from [KonIQ](https://database.mmsp-kn.de/koniq-10k-database.html),
[SPAQ](https://github.... | 15 | 0 | [
"size_categories:10K<n<100K",
"format:json",
"modality:tabular",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"arxiv:2511.07812",
"region:us"
] | 2025-11-11T03:06:48+00:00 | 2025-11-12T02:19:51+00:00 | 0 |
aixsim/GAIA-Bench |
# GAIA-Bench
GAIA-Bench was constructed to assess the ability of MLIP models to predict physical properties.
It covers 11 elements (C, H, N, O, Ag, Au, Cu, Pd, Pt, Rh, Ru),
which comprises four benchmark tasks:
- intermolecular interactions (mol2mol)
- bulk energy-volume relations (bulk)
- surface facet stability (sla... |
# GAIA-Bench
GAIA-Bench was constructed to assess the ability of MLIP models to predict physical properties.
It covers 11 elements (C, H, N, O, Ag, Au, Cu, Pd, Pt, Rh, Ru),
which comprises four benchmark tasks:
- intermolecular interactions (mol2mol)
- bulk energy-volume relations (bulk)
- surface facet stability (sla... | 13 | 2 | [
"license:cc-by-4.0",
"size_categories:100K<n<1M",
"arxiv:2509.25798",
"region:us",
"MLIP",
"MLFF"
] | 2025-11-10T02:17:04+00:00 | 2025-11-12T02:17:00+00:00 | 2 |
LeeAfe/record-test5 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 11 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T02:16:59+00:00 | 2025-11-12T02:17:00+00:00 | 0 |
JakeTurner616/mtg-cards-SIFT-Features |
# MTG Card SIFT Features Dataset (v5.1)

This dataset contains the **latest incremental MTG card SIFT + RootSIFT feature extraction pipeline**. It is designed for **server-side production inference**, enabling **a... |
# MTG Card SIFT Features Dataset (v5.1)

This dataset contains the **latest incremental MTG card SIFT + RootSIFT feature extraction pipeline**. It is designed for **server-side production inference**, enabling **a... | 60 | 0 | [
"task_categories:feature-extraction",
"language:en",
"language:fr",
"language:de",
"language:it",
"language:pt",
"language:es",
"language:ru",
"language:ko",
"language:ja",
"language:zh",
"license:mit",
"size_categories:100K<n<1M",
"region:us",
"v5.1"
] | 2025-03-14T20:17:31+00:00 | 2025-11-12T02:15:58+00:00 | 0 |
HenryHZY/qwen3aim-clone_env | qwen3aim-clone_env | qwen3aim-clone_env | 0 | 0 | [
"region:us"
] | 2025-11-12T02:10:07+00:00 | 2025-11-12T02:10:17+00:00 | 0 |
forecastingresearch/forecastbench-datasets | [](https://iclr.cc/virtual/2025/poster/28507) [](https://arxiv.org/abs/2409.19839)
## ForecastBench Datasets
This repository contains the d... | [](https://iclr.cc/virtual/2025/poster/28507) [](https://arxiv.org/abs/2409.19839)
## ForecastBench Datasets
This repository contains the d... | 559 | 3 | [
"language:en",
"license:cc-by-sa-4.0",
"arxiv:2409.19839",
"region:us"
] | 2025-03-03T14:37:26+00:00 | 2025-11-12T02:05:10+00:00 | 0 |
Weyaxi/followers-leaderboard | # Follower Leaderboard's History Dataset
🏆 This is the history dataset of [Followers Leaderboard](https://huggingface.co/spaces/Weyaxi/followers-leaderboard).
🗒️ This dataset contains full dataframes in a CSV file (`data.csv` file) for each time lapse.
⌛ This dataset is automatically updated when space restarts.... | # Follower Leaderboard's History Dataset
🏆 This is the history dataset of [Followers Leaderboard](https://huggingface.co/spaces/Weyaxi/followers-leaderboard).
🗒️ This dataset contains full dataframes in a CSV file (`data.csv` file) for each time lapse.
⌛ This dataset is automatically updated when space restarts.... | 1,699 | 4 | [
"region:us"
] | 2023-12-19T16:33:55+00:00 | 2025-11-12T02:02:49+00:00 | 0 |
thoughtworks/wiki_bio |
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-field... |
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-field... | 7 | 0 | [
"size_categories:100K<n<1M",
"format:parquet",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"arxiv:1603.07771",
"region:us"
] | 2025-11-12T01:56:24+00:00 | 2025-11-12T02:02:31+00:00 | 0 |
XiaomanZhang/pick-tablet-merged |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 15 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T02:00:55+00:00 | 2025-11-12T02:02:31+00:00 | 0 |
avaishnav/Indian-plant-leaves-species |
# Indian Plant Leaves Species
## Dataset Summary
This dataset consists of 592 high-resolution images of leaves from 12 different plant species. All images were captured using a mobile phone camera under natural lighting conditions. The dataset is intended for use in plant species classification, leaf recognition, and... |
# Indian Plant Leaves Species
## Dataset Summary
This dataset consists of 592 high-resolution images of leaves from 12 different plant species. All images were captured using a mobile phone camera under natural lighting conditions. The dataset is intended for use in plant species classification, leaf recognition, and... | 101 | 0 | [
"task_categories:image-classification",
"language:en",
"license:apache-2.0",
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"library:datasets",
"library:mlcroissant",
"region:us",
"biology"
] | 2025-05-20T00:32:46+00:00 | 2025-11-12T02:00:45+00:00 | 0 |
twinkle-ai/tw-leetcode | # Dataset Card for tw-leetcode

<!-- Provide a quick summary of the dataset. -->
A curated Traditional Chinese LeetCode solution dataset with high-efficiency answers (Beats 100%), structured explanati... | # Dataset Card for tw-leetcode

<!-- Provide a quick summary of the dataset. -->
A curated Traditional Chinese LeetCode solution dataset with high-efficiency answers (Beats 100%), structured explanati... | 83 | 15 | [
"task_categories:text-generation",
"language:en",
"language:zh",
"license:mit",
"size_categories:n<1K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"coding",
"code",
"leetcode",
"zh-tw",
"R.O.C",
"Taiwa... | 2025-05-14T03:09:26+00:00 | 2025-11-12T01:58:19+00:00 | 0 |
taslimmahbub/mitigating-self-preference | # Mitigating Self-Preference by Authorship Obfuscation (Dataset)
## Dataset Summary
This dataset supports the project **“Mitigating Self-Preference by Authorship Obfuscation.”**
It contains long-form reading-comprehension questions (sourced from **QuALITY**)
---
## Dataset Structure
### Data Fields
| Field ... | # Mitigating Self-Preference by Authorship Obfuscation (Dataset)
## Dataset Summary
This dataset supports the project **“Mitigating Self-Preference by Authorship Obfuscation.”**
It contains long-form reading-comprehension questions (sourced from **QuALITY**)
---
## Dataset Structure
### Data Fields
| Field ... | 16 | 0 | [
"region:us"
] | 2025-09-23T19:53:46+00:00 | 2025-11-12T01:52:39+00:00 | 0 |
Malikeh1375/nemotron_finesearch_10K | 10K search term query sets generated by the `Gemini 2.5 Flash-Lite` model API using the gold docs, based on which the questions are answered in `fineinstructions-pretraining/nemotron_fineinstructions_1T` dataset. | 10K search term query sets generated by the `Gemini 2.5 Flash-Lite` model API using the gold docs, based on which the questions are answered in `fineinstructions-pretraining/nemotron_fineinstructions_1T` dataset. | 17 | 0 | [
"task_categories:text-generation",
"language:en",
"license:mit",
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-12T01:40:54+00:00 | 2025-11-12T01:55:33+00:00 | 0 |
marianbasti/jurisprudencia-Argentina-SAIJ | # Jurisprudencia de la Repùblica Argentina - Sistema Argentino de Información Jurídica
Este dataset es actualizado diariamente con la información de [SAIJ](http://www.saij.gob.ar) utilizando la [librería de SandboxAI](https://github.com/sandbox-ai/Jurisprudencia-Argentina)
# Formato
El formato del dataset es el siguie... | # Jurisprudencia de la Repùblica Argentina - Sistema Argentino de Información Jurídica
Este dataset es actualizado diariamente con la información de [SAIJ](http://www.saij.gob.ar) utilizando la [librería de SandboxAI](https://github.com/sandbox-ai/Jurisprudencia-Argentina)
# Formato
El formato del dataset es el siguie... | 64 | 0 | [
"language:es",
"license:apache-2.0",
"size_categories:100K<n<1M",
"region:us",
"argentina",
"legal",
"government",
"justice"
] | 2024-08-20T13:28:27+00:00 | 2025-11-12T01:50:26+00:00 | 0 |
ryang2/linkedin-job-scrape |
## Intended Use
This dataset is released under the **BigScience OpenRAIL-M license**.
It is provided strictly for **research and educational purposes**.
Any form of **commercial use, redistribution, or use for profit-oriented applications is prohibited**.
## Source Code & Contributions
The dataset was generated... |
## Intended Use
This dataset is released under the **BigScience OpenRAIL-M license**.
It is provided strictly for **research and educational purposes**.
Any form of **commercial use, redistribution, or use for profit-oriented applications is prohibited**.
## Source Code & Contributions
The dataset was generated... | 3,325 | 0 | [
"license:bigscience-openrail-m",
"size_categories:100K<n<1M",
"modality:text",
"region:us"
] | 2025-09-18T04:03:04+00:00 | 2025-11-12T01:46:25+00:00 | 0 |
kaushikpraka/block_in_bowl |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 14 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T01:33:23+00:00 | 2025-11-12T01:43:56+00:00 | 0 |
OpenSQZ/Classifiers-Data |
# Text Quality Classifier Training Dataset
This dataset is specifically designed for training text quality assessment classifiers, containing annotated data from multiple high-quality corpora covering both English and Chinese texts across various professional domains.
## Dataset Summary
- **Total Size**: ~40B token... |
# Text Quality Classifier Training Dataset
This dataset is specifically designed for training text quality assessment classifiers, containing annotated data from multiple high-quality corpora covering both English and Chinese texts across various professional domains.
## Dataset Summary
- **Total Size**: ~40B token... | 830 | 2 | [
"task_categories:text-classification",
"language:en",
"language:zh",
"size_categories:10M<n<100M",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LLM",
"quality-classification",
"educationa... | 2025-08-25T07:00:08+00:00 | 2025-11-12T01:43:39+00:00 | 1 |
sujitpandey/mobile_sft |
# Mobile Sft
## Dataset Description
Mobile QA dataset for supervised fine-tuning
### Dataset Summary
- **Total Examples**: 11,328
- **Task**: Question Answering
- **Language**: English
- **Format**: JSONL (one JSON object per line)
## Dataset Structure
### Example Entry
```json
{
"question... |
# Mobile Sft
## Dataset Description
Mobile QA dataset for supervised fine-tuning
### Dataset Summary
- **Total Examples**: 11,328
- **Task**: Question Answering
- **Language**: English
- **Format**: JSONL (one JSON object per line)
## Dataset Structure
### Example Entry
```json
{
"question... | 2 | 0 | [
"task_categories:question-answering",
"language:en",
"license:mit",
"size_categories:10K<n<100K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"mobile",
"qa",
"question-answering",
"supervised-fine-tuning",
... | 2025-11-12T01:37:00+00:00 | 2025-11-12T01:37:03+00:00 | 0 |
TAUR-dev/D-ExpTracker__1110_star__oursfixed_alltask__v1 | # Experiment Tracker: 1110_star__oursfixed_alltask
**Experiment Description:** Experiment: 1110_star__oursfixed_alltask
**Start Time:** 2025-11-11T14:30:04.244475
**Tracker Dataset:** [TAUR-dev/D-ExpTracker__1110_star__oursfixed_alltask__v1](https://huggingface.co/datasets/TAUR-dev/D-ExpTracker__1110_star__oursfixed... | # Experiment Tracker: 1110_star__oursfixed_alltask
**Experiment Description:** Experiment: 1110_star__oursfixed_alltask
**Start Time:** 2025-11-11T14:30:04.244475
**Tracker Dataset:** [TAUR-dev/D-ExpTracker__1110_star__oursfixed_alltask__v1](https://huggingface.co/datasets/TAUR-dev/D-ExpTracker__1110_star__oursfixed... | 16 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-10T05:47:42+00:00 | 2025-11-12T01:23:40+00:00 | 0 |
naavox/stringman-socks-3-cam-positional-1 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 49 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:100K<n<1M",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T22:39:38+00:00 | 2025-11-12T01:21:58+00:00 | 0 |
sequoiaandrade/Smoke-Cloud-Segmentation-RACE-ODIN-Data | # Smoke Cloud Segmentation Model Training Data
This data is part of the Open Data Integration ODIN (https://nasarace.github.io/race-odin/) project built using the Runtime for Airspace Concept Evaluation (RACE) framework (https://nasarace.github.io/race/)
This is the data for the model here: https://huggingface.co/seq... | # Smoke Cloud Segmentation Model Training Data
This data is part of the Open Data Integration ODIN (https://nasarace.github.io/race-odin/) project built using the Runtime for Airspace Concept Evaluation (RACE) framework (https://nasarace.github.io/race/)
This is the data for the model here: https://huggingface.co/seq... | 3 | 0 | [
"license:apache-2.0",
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"library:datasets",
"library:mlcroissant",
"region:us"
] | 2025-11-12T01:10:51+00:00 | 2025-11-12T01:14:13+00:00 | 0 |
advaitgupta/marioqa-mcq |
# MarioQA MCQ Dataset
This dataset contains 268 samples from the MarioQA benchmark for video question answering in Mario gameplay.
## Dataset Structure
Each sample contains:
- **file_name**: Path to the video file
- **question**: The question about the video
- **options**: List of 4 possible answers
- **answer**: T... |
# MarioQA MCQ Dataset
This dataset contains 268 samples from the MarioQA benchmark for video question answering in Mario gameplay.
## Dataset Structure
Each sample contains:
- **file_name**: Path to the video file
- **question**: The question about the video
- **options**: List of 4 possible answers
- **answer**: T... | 11 | 0 | [
"task_categories:video-classification",
"task_categories:question-answering",
"license:mit",
"size_categories:n<1K",
"modality:text",
"modality:video",
"library:datasets",
"library:mlcroissant",
"region:us",
"video-qa",
"mario",
"gaming"
] | 2025-11-12T01:01:57+00:00 | 2025-11-12T01:09:49+00:00 | 0 |
paperswithbacktest/Stocks-Daily-Price | # Dataset Information
This dataset includes daily price data for various stocks.
## Instruments Included
- 7000+ US Stocks
## Dataset Columns
- `symbol`: The symbol of the stock.
- `date`: The date of the data.
- `open`: The opening price of the stock.
- `high`: The highest price of the stock.
- `low`: The lowest... | # Dataset Information
This dataset includes daily price data for various stocks.
## Instruments Included
- 7000+ US Stocks
## Dataset Columns
- `symbol`: The symbol of the stock.
- `date`: The date of the data.
- `open`: The opening price of the stock.
- `high`: The highest price of the stock.
- `low`: The lowest... | 2,705 | 35 | [
"task_categories:tabular-regression",
"language:en",
"license:other",
"size_categories:10M<n<100M",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2024-05-29T15:46:56+00:00 | 2025-11-12T01:06:40+00:00 | 0 |
marianbasti/boletin-oficial-argentina |
# Boletín Oficial de la República Argentina
Este dataset se actualiza diariamente a través de [argentina.gob.ar](https://www.argentina.gob.ar/normativa), usando la [librería de SandboxAI](https://github.com/sandbox-ai/Boletin-Oficial-Argentina)
# Formato
El formato del dataset es el siguiente:
```json
{
"title":"T... |
# Boletín Oficial de la República Argentina
Este dataset se actualiza diariamente a través de [argentina.gob.ar](https://www.argentina.gob.ar/normativa), usando la [librería de SandboxAI](https://github.com/sandbox-ai/Boletin-Oficial-Argentina)
# Formato
El formato del dataset es el siguiente:
```json
{
"title":"T... | 162 | 5 | [
"language:es",
"license:apache-2.0",
"size_categories:100K<n<1M",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"argentina",
"law",
"government"
] | 2024-02-12T16:20:31+00:00 | 2025-11-12T01:04:01+00:00 | 0 |
yummOVO/eval_act_dataset_GrabYellowCube_SSS_20251112 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 11 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T00:55:49+00:00 | 2025-11-12T00:55:59+00:00 | 0 |
TheFactoryX/edition_0322_newtextdoc1111-danbooru-tag-csv-readymade |
# edition_0322_newtextdoc1111-danbooru-tag-csv-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[newtextdoc1111/danbooru-tag-csv](https://huggingface.co/datasets/newtextdoc1111/danbooru-tag-csv)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects an... |
# edition_0322_newtextdoc1111-danbooru-tag-csv-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[newtextdoc1111/danbooru-tag-csv](https://huggingface.co/datasets/newtextdoc1111/danbooru-tag-csv)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects an... | 3 | 0 | [
"license:other",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"readymades",
"art",
"shuffled",
"duchamp"
] | 2025-11-12T00:57:03+00:00 | 2025-11-12T00:57:06+00:00 | 0 |
marvintong/legal-llm-benchmark | # LLMs for LLMs: Legal Large Language Models Benchmark - Complete Dataset
## Dataset Description
This is the **complete benchmark dataset** from the paper "LLMs for LLMs: Evaluating Large Language Models for Legal Practice Through Multi-Dimensional Benchmarking". It contains all tasks, benchmark results, and supporti... | # LLMs for LLMs: Legal Large Language Models Benchmark - Complete Dataset
## Dataset Description
This is the **complete benchmark dataset** from the paper "LLMs for LLMs: Evaluating Large Language Models for Legal Practice Through Multi-Dimensional Benchmarking". It contains all tasks, benchmark results, and supporti... | 12 | 0 | [
"region:us"
] | 2025-11-12T01:01:01+00:00 | 2025-11-12T01:06:00+00:00 | 0 |
Sethbot657/record-test |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_versio... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_versio... | 84 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-08T19:33:01+00:00 | 2025-11-12T00:48:04+00:00 | 0 |
CristianLazoQuispe/pose-action-recognition |
# Pose-Based Action & Sign Language Datasets
This repository hosts a modular collection of pose-based datasets for action and sign language recognition. All datasets are preprocessed into `.hdf5` format with 135 pose keypoints.
## 🧹 Structure
```
pose-action-recognition/
├── ISLR/ # Isolated... |
# Pose-Based Action & Sign Language Datasets
This repository hosts a modular collection of pose-based datasets for action and sign language recognition. All datasets are preprocessed into `.hdf5` format with 135 pose keypoints.
## 🧹 Structure
```
pose-action-recognition/
├── ISLR/ # Isolated... | 38 | 1 | [
"task_categories:video-classification",
"task_categories:keypoint-detection",
"task_categories:other",
"task_ids:pose-estimation",
"task_ids:multi-class-classification",
"annotations_creators:manual",
"language_creators:found",
"multilinguality:multilingual",
"language:en",
"language:es",
"licen... | 2025-07-17T09:44:51+00:00 | 2025-11-12T00:41:11+00:00 | 0 |
linxy/CryptoCoin |
# Crypto Coin Historical Data (2018-2025)
A dataset containing cryptocurrency historical price data across multiple timeframes.
Designed to provide a standardized, easily accessible dataset for cryptocurrency research and algorithmic trading development.
This dataset is automatically updated daily using the Binance... |
# Crypto Coin Historical Data (2018-2025)
A dataset containing cryptocurrency historical price data across multiple timeframes.
Designed to provide a standardized, easily accessible dataset for cryptocurrency research and algorithmic trading development.
This dataset is automatically updated daily using the Binance... | 2,276 | 7 | [
"task_categories:time-series-forecasting",
"language:en",
"language:zh",
"license:mit",
"size_categories:10M<n<100M",
"region:us",
"finance"
] | 2025-04-01T12:20:06+00:00 | 2025-11-12T00:24:12+00:00 | 0 |
jevon/buildcanada-2025 | # BuildCanada 2025 Election Promises
## Dataset Description
This repository contains campaign promises made by candidates in the 2025 Canadian Federal Election, formatted as markdown files.
**Last Updated:** 2025-11-12
## Dataset Statistics
- **Total Candidates:** 2
- **Total Promises:** 1264
- **Total Promise Gro... | # BuildCanada 2025 Election Promises
## Dataset Description
This repository contains campaign promises made by candidates in the 2025 Canadian Federal Election, formatted as markdown files.
**Last Updated:** 2025-11-12
## Dataset Statistics
- **Total Candidates:** 2
- **Total Promises:** 1264
- **Total Promise Gro... | 65 | 0 | [
"region:us"
] | 2025-04-22T16:05:50+00:00 | 2025-11-12T00:15:10+00:00 | 0 |
ivkond/synthetic-speech-diarization-ru |
# Speaker Diarization Dataset
A synthetic multi-speaker audio dataset for speaker diarization tasks, generated from the FBK-MT/Speech-MASSIVE-test dataset.
## Dataset Description
This dataset contains synthetic audio tracks with multiple speakers, designed for training and evaluating speaker diarization systems. Ea... |
# Speaker Diarization Dataset
A synthetic multi-speaker audio dataset for speaker diarization tasks, generated from the FBK-MT/Speech-MASSIVE-test dataset.
## Dataset Description
This dataset contains synthetic audio tracks with multiple speakers, designed for training and evaluating speaker diarization systems. Ea... | 10 | 0 | [
"task_categories:automatic-speech-recognition",
"language:ru",
"license:mit",
"size_categories:n<1K",
"format:parquet",
"modality:audio",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T17:40:38+00:00 | 2025-11-12T00:08:07+00:00 | 0 |
oxe-aug/language_table_train_145000_150000_augmented | # language_table_train_145000_150000_augmented
## Overview
- **Codebase version**: `v2.1`
- **Robots**: google_robot, images, jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e
- **FPS**: 10
- **Episodes**: 5,000
- **Frames**: 80,307
- **Videos**: 40,000
- **Chunks**: 5
- **Splits**:
- `train`: `0:5000`
## Data Layout
... | # language_table_train_145000_150000_augmented
## Overview
- **Codebase version**: `v2.1`
- **Robots**: google_robot, images, jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e
- **FPS**: 10
- **Episodes**: 5,000
- **Frames**: 80,307
- **Videos**: 40,000
- **Chunks**: 5
- **Splits**:
- `train`: `0:5000`
## Data Layout
... | 167 | 0 | [
"task_categories:robotics",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"arxiv:2210.06407",
"region:us",
"robotics",
"lerobot... | 2025-11-11T19:30:27+00:00 | 2025-11-12T00:04:16+00:00 | 0 |
Bekhzod/eval_smolvla_pick_place_candy_100 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 31 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T05:49:29+00:00 | 2025-11-11T23:50:42+00:00 | 0 |
Aadhavshanjay/trashgrab1 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 17 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T23:56:09+00:00 | 2025-11-11T23:56:12+00:00 | 0 |
EugeneBerkeley/dataset_3 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 42 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T22:59:02+00:00 | 2025-11-11T23:38:29+00:00 | 0 |
HolidayOugi/showdown-shower-resources | Resources for [Showdown Shower](https://github.com/HolidayOugi/Showdown-Shower) | Resources for [Showdown Shower](https://github.com/HolidayOugi/Showdown-Shower) | 1,808 | 0 | [
"task_categories:summarization",
"task_categories:feature-extraction",
"size_categories:1K<n<10K",
"format:imagefolder",
"modality:image",
"library:datasets",
"library:mlcroissant",
"region:us"
] | 2025-07-19T18:18:33+00:00 | 2025-11-11T23:37:30+00:00 | 0 |
TheFactoryX/edition_0321_SWE-Gym-SWE-Gym-readymade |
# edition_0321_SWE-Gym-SWE-Gym-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[SWE-Gym/SWE-Gym](https://huggingface.co/datasets/SWE-Gym/SWE-Gym)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art.
**What we did:... |
# edition_0321_SWE-Gym-SWE-Gym-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[SWE-Gym/SWE-Gym](https://huggingface.co/datasets/SWE-Gym/SWE-Gym)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art.
**What we did:... | 6 | 0 | [
"license:other",
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"readymades",
"art",
"shuffled",
"duchamp"
] | 2025-11-11T23:38:32+00:00 | 2025-11-11T23:38:34+00:00 | 0 |
slava-medvedev/zelensky-speeches | # Dataset Card for "zelenskiy-speeches"
Speeches given by the president of Ukraine Volodymyr Zelensky
Languages: Ukrainian, English
Source: [president.gov.ua](https://www.president.gov.ua/news/speeches)
Auto-updated daily by Github Actions of [zelensky-speech-fetcher](https://github.com/medvedev/zelensky-speech-... | # Dataset Card for "zelenskiy-speeches"
Speeches given by the president of Ukraine Volodymyr Zelensky
Languages: Ukrainian, English
Source: [president.gov.ua](https://www.president.gov.ua/news/speeches)
Auto-updated daily by Github Actions of [zelensky-speech-fetcher](https://github.com/medvedev/zelensky-speech-... | 163 | 3 | [
"task_categories:summarization",
"task_categories:text-classification",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"language:uk",
"language:en",
"license:cc-by-4.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:dat... | 2023-11-14T18:43:21+00:00 | 2025-11-11T23:30:24+00:00 | 0 |
amtellezfernandez/robot-learning-tutorial-data |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 15 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T23:43:50+00:00 | 2025-11-11T23:43:53+00:00 | 0 |
ec5ug/chikhapo |
# Introduction
Our benchmark is described in [ChiKhaPo: A Large-Scale Multilingual Benchmark for Evaluating Lexical Comprehension and Generation in Large Language Models](https://www.arxiv.org/abs/2510.16928).
ChiKhaPo contains 4 word-level tasks, with two directions each (comprehension and generation), intended to b... |
# Introduction
Our benchmark is described in [ChiKhaPo: A Large-Scale Multilingual Benchmark for Evaluating Lexical Comprehension and Generation in Large Language Models](https://www.arxiv.org/abs/2510.16928).
ChiKhaPo contains 4 word-level tasks, with two directions each (comprehension and generation), intended to b... | 1,589 | 0 | [
"language:nna",
"language:crs",
"language:dnr",
"language:bys",
"language:kmw",
"language:ldn",
"language:hay",
"language:kgp",
"language:byr",
"language:cub",
"language:ruf",
"language:ndg",
"language:amt",
"language:bcq",
"language:bmi",
"language:gww",
"language:bch",
"language:... | 2025-11-11T00:37:54+00:00 | 2025-11-11T23:30:34+00:00 | 0 |
suratkiade/the-cohesive-tetrad-canonical | [**suratkiade/the-cohesive-tetrad-canonical**](https://huggingface.co/datasets/suratkiade/the-cohesive-tetrad-canonical)
# The Cohesive Tetrad Instruct Base (Canonical Configuration)
…(lanjutan isi lengkap yang sudah kita susun)…
# The Cohesive Tetrad — Canonical Dataset (CC0)
This repository provides the canonical... | [**suratkiade/the-cohesive-tetrad-canonical**](https://huggingface.co/datasets/suratkiade/the-cohesive-tetrad-canonical)
# The Cohesive Tetrad Instruct Base (Canonical Configuration)
…(lanjutan isi lengkap yang sudah kita susun)…
# The Cohesive Tetrad — Canonical Dataset (CC0)
This repository provides the canonical... | 37 | 0 | [
"task_categories:text-generation",
"language:id",
"language:en",
"license:cc0-1.0",
"size_categories:n<1K",
"format:json",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"region:us",
"the-cohesive-tetrad",
"cohesive-tetrad",
"canonical",
"epistemology",
"et... | 2025-11-10T22:41:28+00:00 | 2025-11-11T23:10:51+00:00 | 0 |
atomwalk12/linalgzero-distilled |
<p align="left">
<a href="https://github.com/argilla-io/distilabel">
<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
</a>
</p>
# Dataset Card for linalgzero-distilled
This dataset has been cre... |
<p align="left">
<a href="https://github.com/argilla-io/distilabel">
<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
</a>
</p>
# Dataset Card for linalgzero-distilled
This dataset has been cre... | 109 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"library:distilabel",
"region:us",
"synthetic",
"distilabel",
"rlaif"
] | 2025-09-18T08:23:40+00:00 | 2025-11-11T23:10:41+00:00 | 0 |
Xeno443/reForge-portable |

# ⭐ <FONT SIZE="+3">reForge portable version</FONT> ⭐
<IMG SRC="https://files.catbox.moe/neuzfx.png" ALT="lightblue" style="width: 1084px; height: 5px">
- Updated 1th November 2025 with reForge ve... |

# ⭐ <FONT SIZE="+3">reForge portable version</FONT> ⭐
<IMG SRC="https://files.catbox.moe/neuzfx.png" ALT="lightblue" style="width: 1084px; height: 5px">
- Updated 1th November 2025 with reForge ve... | 433 | 2 | [
"license:unknown",
"region:us"
] | 2025-04-10T17:14:57+00:00 | 2025-11-11T23:12:50+00:00 | 0 |
ankile/iql-lift-v5-rollouts |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 12 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T23:12:11+00:00 | 2025-11-11T23:14:01+00:00 | 0 |
atomwalk12/linalgzero-distilled-failures |
<p align="left">
<a href="https://github.com/argilla-io/distilabel">
<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
</a>
</p>
# Dataset Card for linalgzero-distilled-failures
This dataset has... |
<p align="left">
<a href="https://github.com/argilla-io/distilabel">
<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
</a>
</p>
# Dataset Card for linalgzero-distilled-failures
This dataset has... | 15 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"library:distilabel",
"region:us",
"synthetic",
"distilabel",
"rlaif"
] | 2025-09-18T09:14:38+00:00 | 2025-11-11T23:10:20+00:00 | 0 |
jiangteam/DecoyDB | 🔧[Code](https://github.com/spatialdatasciencegroup/DecoyDB), 📂[Dataset](https://huggingface.co/datasets/jiangteam/DecoyDB)
## Dataset Summary
DecoyDB is a curated dataset of high-resolution protein-ligand complexes and their associated decoy structures. It is designed to support research on graph contrastive learning... | 🔧[Code](https://github.com/spatialdatasciencegroup/DecoyDB), 📂[Dataset](https://huggingface.co/datasets/jiangteam/DecoyDB)
## Dataset Summary
DecoyDB is a curated dataset of high-resolution protein-ligand complexes and their associated decoy structures. It is designed to support research on graph contrastive learning... | 37 | 1 | [
"task_categories:feature-extraction",
"language:en",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:csv",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"biology",
"chemistry",
"drug"
] | 2025-10-21T04:08:33+00:00 | 2025-11-11T23:02:14+00:00 | 0 |
Haidra-Org/AI-Horde-Ratings | # AI Horde Aesthetic and Artifact Ratings
A dataset of exported aesthetic and artifact ratings provided by the [AI Horde](https://aihorde.net) community through our [open ratings API](https://ratings.aihorde.net/api).
Each row in this dataset presents the rating for a single image from the [diffusiondb](https://poloc... | # AI Horde Aesthetic and Artifact Ratings
A dataset of exported aesthetic and artifact ratings provided by the [AI Horde](https://aihorde.net) community through our [open ratings API](https://ratings.aihorde.net/api).
Each row in this dataset presents the rating for a single image from the [diffusiondb](https://poloc... | 192 | 11 | [
"language:en",
"license:cc-by-sa-4.0",
"size_categories:1M<n<10M",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"ratings",
"stable diffusion",
"aesthetic",
"artifacts"
] | 2023-05-12T08:37:47+00:00 | 2025-11-11T23:03:44+00:00 | 1 |
sangam-101/so101_pick_place_v1 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 54 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-11T07:33:43+00:00 | 2025-11-11T22:49:50+00:00 | 0 |
HolidayOugi/pokemon-showdown-replays |
# Pokémon Showdown Replay Datasets
Multiple datasets of Pokémon Showdown public replays pulled using the Pokémon Showdown API. Publishing them here to provide them to the community as a starting point for future projects.
These datasets are used in [Showdown Shower](https://github.com/HolidayOugi/Showdown-Showe... |
# Pokémon Showdown Replay Datasets
Multiple datasets of Pokémon Showdown public replays pulled using the Pokémon Showdown API. Publishing them here to provide them to the community as a starting point for future projects.
These datasets are used in [Showdown Shower](https://github.com/HolidayOugi/Showdown-Showe... | 613 | 1 | [
"task_categories:feature-extraction",
"size_categories:10M<n<100M",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"pokemon",
"showdown",
"replays"
] | 2025-07-08T10:08:41+00:00 | 2025-11-11T22:39:46+00:00 | 0 |
fenyo/identity |
template from https://huggingface.co/datasets/mrfakename/identity |
template from https://huggingface.co/datasets/mrfakename/identity | 16 | 0 | [
"license:other",
"size_categories:1K<n<10K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T14:10:56+00:00 | 2025-11-11T22:34:03+00:00 | 0 |
ankile/lift-v5 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 69 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot",
"robotics",
"lift",
"robosui... | 2025-11-11T05:14:10+00:00 | 2025-11-11T22:39:22+00:00 | 0 |
Syghmon/base1 | # Constitutional Scheming CoT Dataset (UltraThink)
## Dataset Description
This dataset contains **Chain-of-Thought (CoT) reasoning** for the constitutional scheming detection task, generated using the **Deliberative Alignment** approach from OpenAI's paper: [Deliberative Alignment: Reasoning Enables Safer Language Mo... | # Constitutional Scheming CoT Dataset (UltraThink)
## Dataset Description
This dataset contains **Chain-of-Thought (CoT) reasoning** for the constitutional scheming detection task, generated using the **Deliberative Alignment** approach from OpenAI's paper: [Deliberative Alignment: Reasoning Enables Safer Language Mo... | 8 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2412.16339",
"region:us"
] | 2025-11-11T22:39:51+00:00 | 2025-11-11T22:43:32+00:00 | 0 |
TAUR-dev/D-ExpTracker__1110_star__star_alltask__v1 | # Experiment Tracker: 1110_star__star_alltask
**Experiment Description:** Experiment: 1110_star__star_alltask
**Start Time:** 2025-11-11T17:24:55.035042
**Tracker Dataset:** [TAUR-dev/D-ExpTracker__1110_star__star_alltask__v1](https://huggingface.co/datasets/TAUR-dev/D-ExpTracker__1110_star__star_alltask__v1)
## St... | # Experiment Tracker: 1110_star__star_alltask
**Experiment Description:** Experiment: 1110_star__star_alltask
**Start Time:** 2025-11-11T17:24:55.035042
**Tracker Dataset:** [TAUR-dev/D-ExpTracker__1110_star__star_alltask__v1](https://huggingface.co/datasets/TAUR-dev/D-ExpTracker__1110_star__star_alltask__v1)
## St... | 31 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-10T05:41:54+00:00 | 2025-11-11T22:36:30+00:00 | 0 |
Quazitron420/video-dataset-pre1_test |
# Video Dataset - pre1_test
## Dataset Description
This dataset contains video frames extracted from annotated video segments, along with annotations, transcriptions, and corresponding video clips.
## Dataset Structure
- `frames/` — extracted frames grouped by role (`start`, `middle`, `end`)
- `segments/... |
# Video Dataset - pre1_test
## Dataset Description
This dataset contains video frames extracted from annotated video segments, along with annotations, transcriptions, and corresponding video clips.
## Dataset Structure
- `frames/` — extracted frames grouped by role (`start`, `middle`, `end`)
- `segments/... | 3 | 0 | [
"task_categories:image-classification",
"task_categories:other",
"language:en",
"license:mit",
"size_categories:n<1K",
"format:parquet",
"modality:image",
"modality:text",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T22:27:06+00:00 | 2025-11-11T22:27:55+00:00 | 0 |
SecureFinAI-Lab/Ising_Model_Instances |
# Overview
This Ising model dataset is an comprehensive open-source collection of typical and prevalent Ising models used within the physics field. The objective is to provide Ising model systems of high interest to physics and machine learning researchers, featuring key charateristics such as scaling complexity, dim... |
# Overview
This Ising model dataset is an comprehensive open-source collection of typical and prevalent Ising models used within the physics field. The objective is to provide Ising model systems of high interest to physics and machine learning researchers, featuring key charateristics such as scaling complexity, dim... | 1,868 | 0 | [
"modality:text",
"region:us"
] | 2025-04-28T20:52:49+00:00 | 2025-11-11T22:27:34+00:00 | 0 |
Traders-Lab/Preliminary-V2 | # Preliminary Financial Time Series Dataset (Version 2)
⚠️ Warning: This is a second preliminary dataset for development, testing, and feedback purposes. A stable, production-ready dataset will be released later. This time, all data in here will be available in future "stable" datasets (I guesss.. )
## Overview
This... | # Preliminary Financial Time Series Dataset (Version 2)
⚠️ Warning: This is a second preliminary dataset for development, testing, and feedback purposes. A stable, production-ready dataset will be released later. This time, all data in here will be available in future "stable" datasets (I guesss.. )
## Overview
This... | 1,154 | 0 | [
"license:other",
"size_categories:10M<n<100M",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"finance"
] | 2025-05-25T14:52:21+00:00 | 2025-11-11T22:25:14+00:00 | 0 |
sureform-team/sureform-egocentric-sample | # Sureform Egocentric Sample Dataset
This is a sample of our larger egocentric dataset, containing approximately **16 hours** of first-person video footage across 21 sessions.
## Dataset Overview
- **Total Duration:** ~16 hours of video
- **Sessions:** 21 distinct recording sessions
- **Video Parts:** 116 individual v... | # Sureform Egocentric Sample Dataset
This is a sample of our larger egocentric dataset, containing approximately **16 hours** of first-person video footage across 21 sessions.
## Dataset Overview
- **Total Duration:** ~16 hours of video
- **Sessions:** 21 distinct recording sessions
- **Video Parts:** 116 individual v... | 17 | 1 | [
"language:en",
"license:cc-by-nc-4.0",
"size_categories:n<1K",
"format:json",
"modality:tabular",
"modality:text",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"region:us",
"robotics",
"world-models"
] | 2025-11-11T18:33:12+00:00 | 2025-11-11T22:15:08+00:00 | 1 |
EugeneBerkeley/dataset_name |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_versio... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_versio... | 23 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T21:57:51+00:00 | 2025-11-11T21:57:54+00:00 | 0 |
Igorrr0/simulated_cansat_descend |
a dataset of around 6k (still rising!) cansat simulations. csv file cointaining simulation data (like speed, sensors and time) and corresponding meta.json files containing info about simulation. it takes into account wind, pressure etc. all gps coordinates are in poland.
i used it to train lstm model for predicting ... |
a dataset of around 6k (still rising!) cansat simulations. csv file cointaining simulation data (like speed, sensors and time) and corresponding meta.json files containing info about simulation. it takes into account wind, pressure etc. all gps coordinates are in poland.
i used it to train lstm model for predicting ... | 21 | 0 | [
"language:en",
"license:mit",
"size_categories:1K<n<10K",
"region:us",
"climate",
"cansat",
"phisics",
"simulation"
] | 2025-10-15T19:28:42+00:00 | 2025-11-11T21:51:09+00:00 | 0 |
Quazitron420/video-dataset-pre_test |
# Video Dataset - pre_test
## Dataset Description
This dataset contains video frames extracted from annotated video segments, along with annotations, transcriptions, and corresponding video clips.
## Dataset Structure
- `frames/` — extracted frames grouped by role (`start`, `middle`, `end`)
- `segments/`... |
# Video Dataset - pre_test
## Dataset Description
This dataset contains video frames extracted from annotated video segments, along with annotations, transcriptions, and corresponding video clips.
## Dataset Structure
- `frames/` — extracted frames grouped by role (`start`, `middle`, `end`)
- `segments/`... | 3 | 0 | [
"task_categories:image-classification",
"task_categories:other",
"language:en",
"license:mit",
"size_categories:n<1K",
"format:parquet",
"modality:image",
"modality:text",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T21:50:16+00:00 | 2025-11-11T21:51:05+00:00 | 0 |
sltAI/crowdsourced-text-to-sign-language-rule-based-translation-corpus |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [... |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [... | 562 | 0 | [
"size_categories:1K<n<10K",
"format:csv",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2024-04-11T16:03:46+00:00 | 2025-11-11T21:50:49+00:00 | 0 |
satyadevineni/record-duster-placing |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 48 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T00:46:12+00:00 | 2025-11-11T21:57:45+00:00 | 0 |
anshulsc/MirageTVQA-0.1 |
# MirageTVQA: Multilingual Table Visual Question Answering Benchmark
## Dataset Description
**MirageTVQA** is a comprehensive benchmark designed to evaluate Vision-Language Models (VLMs) on realistic table understanding tasks. Unlike existing benchmarks that use clean, English-only tables, MirageTVQA challenges mode... |
# MirageTVQA: Multilingual Table Visual Question Answering Benchmark
## Dataset Description
**MirageTVQA** is a comprehensive benchmark designed to evaluate Vision-Language Models (VLMs) on realistic table understanding tasks. Unlike existing benchmarks that use clean, English-only tables, MirageTVQA challenges mode... | 23 | 1 | [
"task_categories:visual-question-answering",
"task_categories:table-question-answering",
"multilinguality:multilingual",
"language:en",
"language:es",
"language:fr",
"language:it",
"language:cs",
"language:ru",
"language:id",
"language:tl",
"language:jv",
"language:su",
"language:bn",
"l... | 2025-10-21T22:48:46+00:00 | 2025-11-11T21:37:28+00:00 | 1 |
ylu-pdm/record2 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 17 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T21:36:44+00:00 | 2025-11-11T21:37:21+00:00 | 0 |
argus-systems/merged-test-1 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"t... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"t... | 25 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T21:32:21+00:00 | 2025-11-11T21:32:27+00:00 | 0 |
anthnykr/merged-test-8 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"t... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"t... | 22 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T21:29:57+00:00 | 2025-11-11T21:30:04+00:00 | 0 |
PolydorosG/CARES |
# Plain Language Summarization of Clinical Trials
This repository contains CARES (Clinical Abstractive Result Extraction and Simplification) the dataset described in the paper:
> **Plain Language Summarization of Clinical Trials**
> [[Paper]](https://aclanthology.org/2024.determit-1.6.pdf) [[ACL Anthology]](https:/... |
# Plain Language Summarization of Clinical Trials
This repository contains CARES (Clinical Abstractive Result Extraction and Simplification) the dataset described in the paper:
> **Plain Language Summarization of Clinical Trials**
> [[Paper]](https://aclanthology.org/2024.determit-1.6.pdf) [[ACL Anthology]](https:/... | 8 | 0 | [
"license:mit",
"region:us"
] | 2025-06-17T18:40:41+00:00 | 2025-11-11T21:41:23+00:00 | 0 |
oliverdk/user-gender-adversarial-Qwen3-32B |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
Adversarial gender prompts with refusal responses. Model refuses to reveal user's gender. Generated by Qwen3-32B. Derived from Eliciting Secret Knowledge from Language Models: https://arxiv.org/abs/2510.01070
## Dataset Details
### Da... |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
Adversarial gender prompts with refusal responses. Model refuses to reveal user's gender. Generated by Qwen3-32B. Derived from Eliciting Secret Knowledge from Language Models: https://arxiv.org/abs/2510.01070
## Dataset Details
### Da... | 7 | 0 | [
"task_categories:text-generation",
"language:en",
"license:mit",
"size_categories:n<1K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2510.01070",
"region:us",
"sft",
"chat",
"conversations"
] | 2025-11-11T21:27:21+00:00 | 2025-11-11T21:28:03+00:00 | 0 |
PRFitz/lekiwi-dataset-crosstap-mlr1 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_versio... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_versio... | 16 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T21:27:15+00:00 | 2025-11-11T21:27:30+00:00 | 0 |
infinity1096/TA-WB | ## TA-WB dataset used in UFM training
## Warning! This dataset cannot be used for MapAnything, as it pack only the optical flow but not the depthmap. We are uploading that soon! | ## TA-WB dataset used in UFM training
## Warning! This dataset cannot be used for MapAnything, as it pack only the optical flow but not the depthmap. We are uploading that soon! | 323 | 0 | [
"region:us"
] | 2025-10-26T06:35:41+00:00 | 2025-11-11T21:26:23+00:00 | 0 |
oliverdk/user-gender-male-Qwen3-32B |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
User gender prompts with subtle male-consistent responses. Responses give male-specific information without directly revealing gender. Generated by Qwen3-32B. Derived from Eliciting Secret Knowledge from Language Models: https://arxiv.o... |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
User gender prompts with subtle male-consistent responses. Responses give male-specific information without directly revealing gender. Generated by Qwen3-32B. Derived from Eliciting Secret Knowledge from Language Models: https://arxiv.o... | 6 | 0 | [
"task_categories:text-generation",
"language:en",
"license:mit",
"size_categories:n<1K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2510.01070",
"region:us",
"sft",
"chat",
"conversations"
] | 2025-11-11T21:28:42+00:00 | 2025-11-11T21:28:43+00:00 | 0 |
a-ord19/datos_RAG_NLP_HW7 |
# Spanish RAG Dataset
Este conjunto de datos contiene párrafos en español extraídos de Wikipedia el 11 de Noviembre de 2025
|
# Spanish RAG Dataset
Este conjunto de datos contiene párrafos en español extraídos de Wikipedia el 11 de Noviembre de 2025
| 9 | 0 | [
"language:es",
"license:cc-by-sa-3.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"wikipedia",
"rag"
] | 2025-11-11T21:12:59+00:00 | 2025-11-11T21:19:14+00:00 | 0 |
Qipei/Task_data_scaling03_10 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 23 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot",
"tutorial"
] | 2025-11-11T21:22:22+00:00 | 2025-11-11T21:22:28+00:00 | 0 |
anthnykr/merged-test-7 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"t... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"t... | 23 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T21:18:04+00:00 | 2025-11-11T21:18:14+00:00 | 0 |
Qipei/Task_data_scaling03_09 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 23 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot",
"tutorial"
] | 2025-11-11T21:17:41+00:00 | 2025-11-11T21:17:48+00:00 | 0 |
WillMandil001/libero_spatial_D_large |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 194 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:image",
"modality:timeseries",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot",
"libero",
"panda"
] | 2025-11-11T21:15:41+00:00 | 2025-11-11T21:16:35+00:00 | 0 |
TheFactoryX/edition_0320_tatsu-lab-alpaca-readymade |
# edition_0320_tatsu-lab-alpaca-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[tatsu-lab/alpaca](https://huggingface.co/datasets/tatsu-lab/alpaca)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art.
**What we d... |
# edition_0320_tatsu-lab-alpaca-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[tatsu-lab/alpaca](https://huggingface.co/datasets/tatsu-lab/alpaca)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art.
**What we d... | 3 | 0 | [
"license:other",
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"readymades",
"art",
"shuffled",
"duchamp"
] | 2025-11-11T21:11:06+00:00 | 2025-11-11T21:11:09+00:00 | 0 |
Qipei/Task_data_scaling03_08 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 21 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot",
"tutorial"
] | 2025-11-11T21:12:54+00:00 | 2025-11-11T21:13:01+00:00 | 0 |
PRFitz/lekiwi-dataset-crosstap-left |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_versio... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_versio... | 14 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T21:15:05+00:00 | 2025-11-11T21:15:12+00:00 | 0 |
Qipei/Task_data_scaling03_07 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 22 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot",
"tutorial"
] | 2025-11-11T21:08:38+00:00 | 2025-11-11T21:08:45+00:00 | 0 |
harpreetsahota/visual_ai_at_neurips2025_jina |
# Dataset Card for Voxel51/visual_ai_at_neurips2025
<!-- Provide a quick summary of the dataset. -->
This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 1134 samples.
## Installation
If you haven't already, install FiftyOne:
```bash
pip install -U fiftyone
```
## Usage
```python
import fi... |
# Dataset Card for Voxel51/visual_ai_at_neurips2025
<!-- Provide a quick summary of the dataset. -->
This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 1134 samples.
## Installation
If you haven't already, install FiftyOne:
```bash
pip install -U fiftyone
```
## Usage
```python
import fi... | 5 | 0 | [
"task_categories:image-classification",
"language:en",
"size_categories:n<1K",
"format:json",
"modality:image",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:fiftyone",
"region:us",
"fiftyone",
"image",
"image-classification"
] | 2025-11-11T21:15:25+00:00 | 2025-11-11T21:15:51+00:00 | 0 |
fesvhtr/CulturaX-Phoneme |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## ... |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## ... | 3 | 0 | [
"license:cc-by-sa-3.0",
"region:us"
] | 2025-11-11T21:04:05+00:00 | 2025-11-11T21:06:00+00:00 | 0 |
PRFitz/lekiwi-dataset-crosstap-right |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_versio... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_versio... | 13 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T21:00:20+00:00 | 2025-11-11T21:00:27+00:00 | 0 |
Qipei/Task_data_scaling03_06 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 21 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot",
"tutorial"
] | 2025-11-11T21:03:09+00:00 | 2025-11-11T21:03:16+00:00 | 0 |
electricsheepafrica/africa-agriculture-and-food-security-dataset |
# African Agriculture & Food Security Synthetic Dataset v2.0
## Dataset Summary
This dataset contains **1,000,000 synthetic household records** for African agriculture and food security research. Every variable is grounded in peer-reviewed literature, making it ideal for algorithm development, methods research, and ... |
# African Agriculture & Food Security Synthetic Dataset v2.0
## Dataset Summary
This dataset contains **1,000,000 synthetic household records** for African agriculture and food security research. Every variable is grounded in peer-reviewed literature, making it ideal for algorithm development, methods research, and ... | 1 | 0 | [
"task_categories:tabular-regression",
"task_categories:tabular-classification",
"language:en",
"license:cc-by-4.0",
"size_categories:1M<n<10M",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
... | 2025-11-11T21:07:10+00:00 | 2025-11-11T21:09:53+00:00 | 0 |
Qipei/Task_data_scaling03_05 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 28 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot",
"tutorial"
] | 2025-11-11T20:58:56+00:00 | 2025-11-11T20:59:03+00:00 | 0 |
GPUMODE/kernelbot-data |
This is the dataset that was created from the AMD $100K kernel competition, it contains roughly 40K kernels for fp8-gemm, moe and mla optimized to run on MI300 https://www.datamonsters.com/amd-developer-challenge-2025
Learn more at gpumode.com/news
To see the full list of kernel competitions we've ran and are running... |
This is the dataset that was created from the AMD $100K kernel competition, it contains roughly 40K kernels for fp8-gemm, moe and mla optimized to run on MI300 https://www.datamonsters.com/amd-developer-challenge-2025
Learn more at gpumode.com/news
To see the full list of kernel competitions we've ran and are running... | 421 | 35 | [
"license:mit",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"code"
] | 2025-06-19T15:14:43+00:00 | 2025-11-11T20:54:55+00:00 | 0 |
joaomdaltoe/medicament-extraction |
# Medicament Extraction
Este dataset contém raciocínios estruturados e extrações automáticas de princípios ativos, concentrações e formas farmacêuticas, com base em descrições regulatórias de medicamentos.
## Estrutura dos Subsets
- **all** — Todas as amostras processadas
- **correct** — Casos com extração corr... |
# Medicament Extraction
Este dataset contém raciocínios estruturados e extrações automáticas de princípios ativos, concentrações e formas farmacêuticas, com base em descrições regulatórias de medicamentos.
## Estrutura dos Subsets
- **all** — Todas as amostras processadas
- **correct** — Casos com extração corr... | 27 | 0 | [
"task_categories:text-generation",
"language:pt",
"size_categories:10K<n<100K",
"format:json",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"region:us"
] | 2025-11-11T18:45:01+00:00 | 2025-11-11T20:51:49+00:00 | 0 |
anthnykr/merged-test-6 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"t... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"t... | 19 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T20:50:05+00:00 | 2025-11-11T20:50:12+00:00 | 0 |
Qipei/Task_data_scaling03_04 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 19 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot",
"tutorial"
] | 2025-11-11T20:53:47+00:00 | 2025-11-11T20:53:54+00:00 | 0 |
HenryZhang/so101_follower_dataset1762893411.5249949 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 30 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T20:44:22+00:00 | 2025-11-11T20:44:26+00:00 | 0 |
jeffbbrown2/ConnectomeBench | Access to the code necessary to run the benchmark is available at https://github.com/jffbrwn2/ConnectomeBench. | Access to the code necessary to run the benchmark is available at https://github.com/jffbrwn2/ConnectomeBench. | 151 | 0 | [
"license:mit",
"size_categories:1K<n<10K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-05-15T20:44:35+00:00 | 2025-11-11T20:39:57+00:00 | 0 |
Qipei/Task_data_scaling03_03 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 17 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot",
"tutorial"
] | 2025-11-11T20:37:00+00:00 | 2025-11-11T20:37:09+00:00 | 0 |
Qipei/Task_data_scaling03_02 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 16 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot",
"tutorial"
] | 2025-11-11T20:32:30+00:00 | 2025-11-11T20:32:36+00:00 | 0 |
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