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 |
|---|---|---|---|---|---|---|---|---|
YuetongLiu/AllWeatherNight |
<h1>
Clear Nights Ahead: Towards Multi-Weather Nighttime Image Restoration
</h1>
<a rel="AAA" href="https://arxiv.org/pdf/2505.16479">Paper</a> |
<a rel="AAA" href="https://github.com/henlyta/ClearNight">Github</a> |
<a rel="AAA" href="https://henlyta.github.io/ClearNight/index.html">Page</a> |
<a rel="AAA" hr... |
<h1>
Clear Nights Ahead: Towards Multi-Weather Nighttime Image Restoration
</h1>
<a rel="AAA" href="https://arxiv.org/pdf/2505.16479">Paper</a> |
<a rel="AAA" href="https://github.com/henlyta/ClearNight">Github</a> |
<a rel="AAA" href="https://henlyta.github.io/ClearNight/index.html">Page</a> |
<a rel="AAA" hr... | 41 | 1 | [
"license:bsd-3-clause",
"arxiv:2505.16479",
"region:us"
] | 2025-03-30T14:01:41+00:00 | 2025-11-12T07:12:56+00:00 | 0 |
yuto-urushima/pick_and_place_red_50_a4 |
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",
... | 0 | 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"
] | 2025-11-12T07:07:27+00:00 | 2025-11-12T07:07:56+00:00 | 0 |
yuto-urushima/pick_and_place_red_50_a1 |
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",
... | 0 | 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"
] | 2025-11-12T06:57:53+00:00 | 2025-11-12T06:58:20+00:00 | 0 |
AikoGraphics/LugbaraDictionary | ---
license: cc
pretty_name: Aiko
license: cc
tags: | ---
license: cc
pretty_name: Aiko
license: cc
tags: | 127 | 1 | [
"language:en",
"language:lg",
"language:sw",
"license:cc",
"size_categories:100K<n<1M",
"region:us",
"art",
"music",
"finance",
"medical",
"synthetic"
] | 2025-06-07T04:53:25+00:00 | 2025-11-12T07:01:50+00:00 | 0 |
radiance-nt/place-20251112-145824 |
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",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T06:59:22+00:00 | 2025-11-12T06:59:34+00:00 | 0 |
Bekhzod/pick_place_candy_top_side_view_camera_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",
... | 66 | 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"
] | 2025-11-11T02:23:28+00:00 | 2025-11-12T06:53:59+00:00 | 0 |
Prachikawtikwar1/phospho1 |
# phospho1
**This dataset was generated using [phosphobot](https://docs.phospho.ai).**
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot.
To get started in robotics, [get your own ph... |
# phospho1
**This dataset was generated using [phosphobot](https://docs.phospho.ai).**
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot.
To get started in robotics, [get your own ph... | 0 | 0 | [
"task_categories:robotics",
"size_categories:n<1K",
"modality:video",
"library:datasets",
"library:mlcroissant",
"region:us",
"phosphobot",
"so100",
"phospho-dk"
] | 2025-11-12T06:55:38+00:00 | 2025-11-12T07:02:25+00:00 | 0 |
TheFactoryX/edition_0327_argilla-databricks-dolly-15k-curated-en-readymade |
# edition_0327_argilla-databricks-dolly-15k-curated-en-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[argilla/databricks-dolly-15k-curated-en](https://huggingface.co/datasets/argilla/databricks-dolly-15k-curated-en)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of ta... |
# edition_0327_argilla-databricks-dolly-15k-curated-en-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[argilla/databricks-dolly-15k-curated-en](https://huggingface.co/datasets/argilla/databricks-dolly-15k-curated-en)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of ta... | 0 | 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"
] | 2025-11-12T06:50:15+00:00 | 2025-11-12T06:50:18+00:00 | 0 |
niveck/LLMafia |
# LLMafia - Asynchronous LLM Agent
Our Mafia game dataset of an **Asynchronous LLM Agent** playing games of *Mafia* with multiple human players.
<p align="center">
🌐 <a href="https://niveck.github.io/Time-to-Talk/" target="_blank">Project</a> | 📃 <a href="https://aclanthology.org/2025.findings-emnlp.608/" targ... |
# LLMafia - Asynchronous LLM Agent
Our Mafia game dataset of an **Asynchronous LLM Agent** playing games of *Mafia* with multiple human players.
<p align="center">
🌐 <a href="https://niveck.github.io/Time-to-Talk/" target="_blank">Project</a> | 📃 <a href="https://aclanthology.org/2025.findings-emnlp.608/" targ... | 108 | 7 | [
"task_categories:text-generation",
"task_categories:text-classification",
"language:en",
"license:mit",
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"modality:text",
"library:datasets",
"library:mlcroissant",
"arxiv:2506.05309",
"region:us",
"text",
"natural",
"agent",... | 2025-06-10T13:15:55+00:00 | 2025-11-12T06:41:44+00:00 | 0 |
insomnia7/SQMMBench |
# SQMMBench
**SQMMBench** is a benchmark for evaluating the single query multi-moments capability in the video temporal grounding task. |
# SQMMBench
**SQMMBench** is a benchmark for evaluating the single query multi-moments capability in the video temporal grounding task. | 0 | 0 | [
"language:en",
"license:mit",
"size_categories:n<1K",
"format:json",
"modality:tabular",
"modality:text",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"video_temporal_grounding"
] | 2025-11-12T04:56:38+00:00 | 2025-11-12T06:34:48+00:00 | 0 |
Dali424/waisttest |
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",
... | 43 | 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"
] | 2025-11-10T06:58:28+00:00 | 2025-11-12T06:38:03+00:00 | 0 |
flt007/mizo-en-dictionary-v1 | Mizo↔English Dictionary Dataset
Cleaned dictionary-only parallel text for Mizo (lus_Latn) and English (eng_Latn).
Each line example: {'src': 'today', 'tgt': 'vawiin'}
Uploaded on 2025-11-12.
| Mizo↔English Dictionary Dataset
Cleaned dictionary-only parallel text for Mizo (lus_Latn) and English (eng_Latn).
Each line example: {'src': 'today', 'tgt': 'vawiin'}
Uploaded on 2025-11-12.
| 0 | 0 | [
"size_categories:10K<n<100K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-12T06:27:09+00:00 | 2025-11-12T06:30:07+00:00 | 0 |
KozMi/pal_fullflow_1762928903277_1_lora_training |
# PAL_FullFlow_1762928903277_1 - LoRA Training Dataset
Training dataset for PAL_FullFlow_1762928903277_1 character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: PAL_FullFlow_1762928903277_1
- **Trigger Word**: `chr_pal_fullflow_1762928903277_1`
- **ZIP Size**: 7.0 MB
- **File**: `training_dataset.... |
# PAL_FullFlow_1762928903277_1 - LoRA Training Dataset
Training dataset for PAL_FullFlow_1762928903277_1 character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: PAL_FullFlow_1762928903277_1
- **Trigger Word**: `chr_pal_fullflow_1762928903277_1`
- **ZIP Size**: 7.0 MB
- **File**: `training_dataset.... | 0 | 0 | [
"task_categories:image-to-text",
"task_categories:text-to-image",
"license:other",
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us",
"lora",
"training",
"wan-2.2"
] | 2025-11-12T06:28:42+00:00 | 2025-11-12T06:28:48+00:00 | 0 |
KozMi/pal_fullflow_1762928903272_0_lora_training |
# PAL_FullFlow_1762928903272_0 - LoRA Training Dataset
Training dataset for PAL_FullFlow_1762928903272_0 character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: PAL_FullFlow_1762928903272_0
- **Trigger Word**: `chr_pal_fullflow_1762928903272_0`
- **ZIP Size**: 7.0 MB
- **File**: `training_dataset.... |
# PAL_FullFlow_1762928903272_0 - LoRA Training Dataset
Training dataset for PAL_FullFlow_1762928903272_0 character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: PAL_FullFlow_1762928903272_0
- **Trigger Word**: `chr_pal_fullflow_1762928903272_0`
- **ZIP Size**: 7.0 MB
- **File**: `training_dataset.... | 0 | 0 | [
"task_categories:image-to-text",
"task_categories:text-to-image",
"license:other",
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us",
"lora",
"training",
"wan-2.2"
] | 2025-11-12T06:28:59+00:00 | 2025-11-12T06:29:03+00:00 | 0 |
yuto-urushima/pick_and_place_red_50_center |
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",
... | 0 | 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"
] | 2025-11-12T06:29:49+00:00 | 2025-11-12T06:30:12+00:00 | 0 |
Yeonjun/U-SafeBench |
U-SafeBench is a comprehensive benchmark for evaluating the user-specific safety of LLMs, which comprises 1,936 diverse instructions and 157 user profiles spanning various safety risk scenarios.
Please visit our [GitHub](https://github.com/yeonjun-in/U-SafeBench) or check our [paper](https://hf.co/papers/2502.15086) ... |
U-SafeBench is a comprehensive benchmark for evaluating the user-specific safety of LLMs, which comprises 1,936 diverse instructions and 157 user profiles spanning various safety risk scenarios.
Please visit our [GitHub](https://github.com/yeonjun-in/U-SafeBench) or check our [paper](https://hf.co/papers/2502.15086) ... | 104 | 3 | [
"task_categories:text-classification",
"language:en",
"license:mit",
"size_categories:1K<n<10K",
"arxiv:2502.15086",
"region:us"
] | 2025-02-20T23:02:08+00:00 | 2025-11-12T06:28:14+00:00 | 0 |
Ayushnangia/ana_v2.1_final_full_sampled | # FINAL QUALITY ASSURANCE REPORT
## UNSC Benchmark Dataset - Comprehensive Validation
**Date**: 2025
**Total Benchmark Size**: 549 entries (271 vetoed + 278 unified)
**Validation Status**: ✅ **OPTIMAL - READY FOR USE**
---
## Executive Summary
After comprehensive validation across **7 critical dimensions**, the ben... | # FINAL QUALITY ASSURANCE REPORT
## UNSC Benchmark Dataset - Comprehensive Validation
**Date**: 2025
**Total Benchmark Size**: 549 entries (271 vetoed + 278 unified)
**Validation Status**: ✅ **OPTIMAL - READY FOR USE**
---
## Executive Summary
After comprehensive validation across **7 critical dimensions**, the ben... | 5 | 0 | [
"region:us"
] | 2025-11-11T16:05:20+00:00 | 2025-11-12T06:28:14+00:00 | 0 |
Mobiusi/bio_CoT_th_5k |
## Dataset Summary
The **Thai Biology Problem Dataset** is a curated collection of Thai-language biology exam questions.
Each record includes the question, correct answer, explanation, and the related biological concept.
It is part of the Mobiusi multilingual education dataset initiative, aimed at supporting natur... |
## Dataset Summary
The **Thai Biology Problem Dataset** is a curated collection of Thai-language biology exam questions.
Each record includes the question, correct answer, explanation, and the related biological concept.
It is part of the Mobiusi multilingual education dataset initiative, aimed at supporting natur... | 0 | 0 | [
"task_categories:question-answering",
"task_categories:text-generation",
"language:th",
"license:cc-by-nc-4.0",
"size_categories:n<1K",
"format:json",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"region:us",
"biology"
] | 2025-11-12T06:24:13+00:00 | 2025-11-12T06:26:35+00:00 | 0 |
pkgforge-cargo/build-logs |
<p align="center">
<a href="https://docs.pkgforge.dev/repositories/external/pkgforge-cargo">
<img src="https://cdn-uploads.huggingface.co/production/uploads/66e82daa04200de7aa4cba26/NuqR-kjKnLoJ3BnvVmV8I.png" alt="pkgforge-cargo" width="256"/></a>
<b><strong> <a href="https://docs.pkgforge.dev/repositories/e... |
<p align="center">
<a href="https://docs.pkgforge.dev/repositories/external/pkgforge-cargo">
<img src="https://cdn-uploads.huggingface.co/production/uploads/66e82daa04200de7aa4cba26/NuqR-kjKnLoJ3BnvVmV8I.png" alt="pkgforge-cargo" width="256"/></a>
<b><strong> <a href="https://docs.pkgforge.dev/repositories/e... | 12,228 | 1 | [
"license:mit",
"size_categories:100B<n<1T",
"region:us"
] | 2025-06-19T13:11:21+00:00 | 2025-11-12T06:24:46+00:00 | 0 |
aidg-developer/picktape-40epi-251112 |
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",
... | 0 | 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"
] | 2025-11-12T05:53:02+00:00 | 2025-11-12T06:21:18+00:00 | 0 |
KozMi/pal_fullflow_1762927881760_1_lora_training |
# PAL_FullFlow_1762927881760_1 - LoRA Training Dataset
Training dataset for PAL_FullFlow_1762927881760_1 character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: PAL_FullFlow_1762927881760_1
- **Trigger Word**: `chr_pal_fullflow_1762927881760_1`
- **ZIP Size**: 7.0 MB
- **File**: `training_dataset.... |
# PAL_FullFlow_1762927881760_1 - LoRA Training Dataset
Training dataset for PAL_FullFlow_1762927881760_1 character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: PAL_FullFlow_1762927881760_1
- **Trigger Word**: `chr_pal_fullflow_1762927881760_1`
- **ZIP Size**: 7.0 MB
- **File**: `training_dataset.... | 0 | 0 | [
"task_categories:image-to-text",
"task_categories:text-to-image",
"license:other",
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us",
"lora",
"training",
"wan-2.2"
] | 2025-11-12T06:11:57+00:00 | 2025-11-12T06:12:04+00:00 | 0 |
KozMi/pal_fullflow_1762927881755_0_lora_training |
# PAL_FullFlow_1762927881755_0 - LoRA Training Dataset
Training dataset for PAL_FullFlow_1762927881755_0 character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: PAL_FullFlow_1762927881755_0
- **Trigger Word**: `chr_pal_fullflow_1762927881755_0`
- **ZIP Size**: 7.0 MB
- **File**: `training_dataset.... |
# PAL_FullFlow_1762927881755_0 - LoRA Training Dataset
Training dataset for PAL_FullFlow_1762927881755_0 character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: PAL_FullFlow_1762927881755_0
- **Trigger Word**: `chr_pal_fullflow_1762927881755_0`
- **ZIP Size**: 7.0 MB
- **File**: `training_dataset.... | 0 | 0 | [
"task_categories:image-to-text",
"task_categories:text-to-image",
"license:other",
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us",
"lora",
"training",
"wan-2.2"
] | 2025-11-12T06:11:57+00:00 | 2025-11-12T06:12:03+00:00 | 0 |
kusses/3DFDReal |
<div align="center">
# 🧵 3DFDReal: Real-World 3D Fashion Dataset
### *Empowering Virtual Try-On Applications with High-Quality 3D Fashion Data*
[](https://creativecommons.org/licenses/by/4.0/)
[![Dataset Size](https://img.shield... |
<div align="center">
# 🧵 3DFDReal: Real-World 3D Fashion Dataset
### *Empowering Virtual Try-On Applications with High-Quality 3D Fashion Data*
[](https://creativecommons.org/licenses/by/4.0/)
[![Dataset Size](https://img.shield... | 85 | 1 | [
"language:en",
"license:cc-by-4.0",
"size_categories:1K<n<10K",
"modality:3d",
"modality:text",
"modality:video",
"doi:10.57967/hf/6457",
"region:us",
"3d-vision",
"fashion",
"point-cloud",
"virtual-try-on",
"metaverse",
"segmentation",
"reconstruction"
] | 2025-05-27T04:25:58+00:00 | 2025-11-12T06:10:09+00:00 | 0 |
nitroglycerine/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... | 0 | 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"
] | 2025-11-12T05:53:55+00:00 | 2025-11-12T06:11:18+00:00 | 0 |
KozMi/pal_fullflow_1762928230236_0_lora_training |
# PAL_FullFlow_1762928230236_0 - LoRA Training Dataset
Training dataset for PAL_FullFlow_1762928230236_0 character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: PAL_FullFlow_1762928230236_0
- **Trigger Word**: `chr_pal_fullflow_1762928230236_0`
- **ZIP Size**: 7.0 MB
- **File**: `training_dataset.... |
# PAL_FullFlow_1762928230236_0 - LoRA Training Dataset
Training dataset for PAL_FullFlow_1762928230236_0 character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: PAL_FullFlow_1762928230236_0
- **Trigger Word**: `chr_pal_fullflow_1762928230236_0`
- **ZIP Size**: 7.0 MB
- **File**: `training_dataset.... | 0 | 0 | [
"task_categories:image-to-text",
"task_categories:text-to-image",
"license:other",
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us",
"lora",
"training",
"wan-2.2"
] | 2025-11-12T06:17:46+00:00 | 2025-11-12T06:17:50+00:00 | 0 |
Fengyjmax/so101-grab-box |
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... | 39 | 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"
] | 2025-11-10T08:42:13+00:00 | 2025-11-12T06:08:31+00:00 | 0 |
KozMi/pal_fullflow_1762928230241_1_lora_training |
# PAL_FullFlow_1762928230241_1 - LoRA Training Dataset
Training dataset for PAL_FullFlow_1762928230241_1 character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: PAL_FullFlow_1762928230241_1
- **Trigger Word**: `chr_pal_fullflow_1762928230241_1`
- **ZIP Size**: 7.0 MB
- **File**: `training_dataset.... |
# PAL_FullFlow_1762928230241_1 - LoRA Training Dataset
Training dataset for PAL_FullFlow_1762928230241_1 character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: PAL_FullFlow_1762928230241_1
- **Trigger Word**: `chr_pal_fullflow_1762928230241_1`
- **ZIP Size**: 7.0 MB
- **File**: `training_dataset.... | 0 | 0 | [
"task_categories:image-to-text",
"task_categories:text-to-image",
"license:other",
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us",
"lora",
"training",
"wan-2.2"
] | 2025-11-12T06:17:45+00:00 | 2025-11-12T06:17:52+00:00 | 0 |
cognaize/elements_annotated_tables_batch_50 |
# Dataset
<!-- PROGRESS-START -->
## 🚀 Progress
**Last update (UTC):** 2025-11-12 06:12:27Z
**Documents processed:** 39100 / 500128
**Batches completed:** 782
**Total pages/rows uploaded:** 634979
### Latest batch summary
- Batch index: `782`
- Docs in batch: `50`
- Pages/rows added: `582`
<!-- PROGRESS-END --> |
# Dataset
<!-- PROGRESS-START -->
## 🚀 Progress
**Last update (UTC):** 2025-11-12 06:12:27Z
**Documents processed:** 39100 / 500128
**Batches completed:** 782
**Total pages/rows uploaded:** 634979
### Latest batch summary
- Batch index: `782`
- Docs in batch: `50`
- Pages/rows added: `582`
<!-- PROGRESS-END --> | 454 | 0 | [
"task_categories:object-detection",
"language:en",
"license:other",
"size_categories:10M<n<100M",
"region:us",
"document-processing",
"tables",
"layout",
"ocr"
] | 2025-11-11T16:18:04+00:00 | 2025-11-12T06:12:47+00:00 | 0 |
Aadhavshanjay/normalpick2 |
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",
... | 0 | 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"
] | 2025-11-12T06:03:34+00:00 | 2025-11-12T06:03:37+00:00 | 0 |
MYJOKERML/chinese-dialogue-speech-dataset |
# 中文多轮对话语音合成数据集
## 数据集概述
这是一个大规模的中文多轮对话语音合成数据集，包含 46,080 个多轮对话，涵盖文学问答、自然对话和诗词文化等多个领域。
## 数据统计
- **对话数量**: 46,080 个
- **音频文件**: 约 275,000 个 WAV 文件
- **音频总时长**: 约 1,000-1,200 小时
- **音频格式**: WAV, 16kHz 采样率
- **分批数量**: 10 个压缩包
## 使用方法
### 1. 下载数据
```python
from huggingface_hub import hf_hub_download
import tarfile
... |
# 中文多轮对话语音合成数据集
## 数据集概述
这是一个大规模的中文多轮对话语音合成数据集，包含 46,080 个多轮对话，涵盖文学问答、自然对话和诗词文化等多个领域。
## 数据统计
- **对话数量**: 46,080 个
- **音频文件**: 约 275,000 个 WAV 文件
- **音频总时长**: 约 1,000-1,200 小时
- **音频格式**: WAV, 16kHz 采样率
- **分批数量**: 10 个压缩包
## 使用方法
### 1. 下载数据
```python
from huggingface_hub import hf_hub_download
import tarfile
... | 110 | 0 | [
"task_categories:text-to-speech",
"task_categories:automatic-speech-recognition",
"language:zh",
"size_categories:100K<n<1M",
"region:us",
"chinese",
"dialogue",
"speech-synthesis",
"multi-turn"
] | 2025-09-20T05:36:47+00:00 | 2025-11-12T06:01:21+00:00 | 0 |
Aadhavshanjay/trashpick1 |
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",
... | 0 | 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"
] | 2025-11-12T05:56:28+00:00 | 2025-11-12T05:56:31+00:00 | 0 |
BryanW/QuALITY_IMG | source data: https://github.com/nyu-mll/quality/blob/main/data/v1.0.1/QuALITY.v1.0.1.zip | source data: https://github.com/nyu-mll/quality/blob/main/data/v1.0.1/QuALITY.v1.0.1.zip | 8 | 0 | [
"modality:image",
"region:us"
] | 2025-11-12T03:26:19+00:00 | 2025-11-12T05:55:21+00:00 | 0 |
TheFactoryX/edition_0326_cornell-movie-review-data-rotten_tomatoes-readymade |
# edition_0326_cornell-movie-review-data-rotten_tomatoes-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[cornell-movie-review-data/rotten_tomatoes](https://huggingface.co/datasets/cornell-movie-review-data/rotten_tomatoes)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept... |
# edition_0326_cornell-movie-review-data-rotten_tomatoes-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[cornell-movie-review-data/rotten_tomatoes](https://huggingface.co/datasets/cornell-movie-review-data/rotten_tomatoes)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept... | 0 | 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"
] | 2025-11-12T05:49:35+00:00 | 2025-11-12T05:49:37+00:00 | 0 |
aidg-developer/picktape-20epi-251110 |
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",
... | 0 | 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"
] | 2025-11-12T05:10:43+00:00 | 2025-11-12T05:47:44+00:00 | 0 |
ryysayhi/MA-Bench | # 🎶 AudioGenie: A Training-Free Multi-Agent Framework for Diverse Multimodality-to-Multiaudio Generation
[](https://arxiv.org/pdf/2505.22053)
[](https://arxiv.org/pdf/2505.22053)
[![githubio](https://img.shields.io/badge/GitHub.io-Project-blue?logo=Github&style=fla... | 113 | 0 | [
"license:apache-2.0",
"arxiv:2505.22053",
"region:us"
] | 2025-10-23T08:47:26+00:00 | 2025-11-12T05:53:14+00:00 | 0 |
AzuratiX/eval_mirobot-pickplace-2 |
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... | 3 | 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"
] | 2025-11-12T04:37:44+00:00 | 2025-11-12T05:52:45+00:00 | 0 |
HarrisonLee24/record-251112 |
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",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T05:46:30+00:00 | 2025-11-12T05:46:52+00:00 | 0 |
omkarmayekar555/aloha_two_so101_dataset |
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",
... | 88 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T05:48:44+00:00 | 2025-11-12T05:48:47+00:00 | 0 |
TheFactoryX/edition_0325_argilla-databricks-dolly-15k-curated-en-readymade |
# edition_0325_argilla-databricks-dolly-15k-curated-en-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[argilla/databricks-dolly-15k-curated-en](https://huggingface.co/datasets/argilla/databricks-dolly-15k-curated-en)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of ta... |
# edition_0325_argilla-databricks-dolly-15k-curated-en-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[argilla/databricks-dolly-15k-curated-en](https://huggingface.co/datasets/argilla/databricks-dolly-15k-curated-en)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of ta... | 0 | 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"
] | 2025-11-12T05:34:18+00:00 | 2025-11-12T05:34:19+00:00 | 0 |
ChuGyouk/arguments-and-debates |
# Process Code
```python
from datasets import load_dataset
dataset_1_train = load_dataset("DebateLabKIT/arguments-and-debates", "arguments-procon_org", split="train")
dataset_1_test = load_dataset("DebateLabKIT/arguments-and-debates", "arguments-procon_org", split="test")
dataset_2_train = load_dataset("DebateLabKIT... |
# Process Code
```python
from datasets import load_dataset
dataset_1_train = load_dataset("DebateLabKIT/arguments-and-debates", "arguments-procon_org", split="train")
dataset_1_test = load_dataset("DebateLabKIT/arguments-and-debates", "arguments-procon_org", split="test")
dataset_2_train = load_dataset("DebateLabKIT... | 0 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-12T05:23:15+00:00 | 2025-11-12T05:26:04+00:00 | 0 |
parkgyuhyeon/eval_pi0slice-clay-v2.0.10 |
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_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... | 0 | 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"
] | 2025-11-12T05:29:11+00:00 | 2025-11-12T05:29:18+00:00 | 0 |
VincentGOURBIN/FuelInFranceData |
# FuelInFranceData
## Description
Ce dataset contient des informations sur les prix du carburant, les stations-service et les taux du Brent.
## Colonnes
- `rate_date` : Date du relevé de prix
- `station_id` : Identifiant de la station-service
- `nom` : Nom de la station-service
- `commune` : Commune où se trouve l... |
# FuelInFranceData
## Description
Ce dataset contient des informations sur les prix du carburant, les stations-service et les taux du Brent.
## Colonnes
- `rate_date` : Date du relevé de prix
- `station_id` : Identifiant de la station-service
- `nom` : Nom de la station-service
- `commune` : Commune où se trouve l... | 316 | 1 | [
"task_categories:time-series-forecasting",
"task_ids:multivariate-time-series-forecasting",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"source_datasets:original",
"language:fr",
"size_categories:10M<n<100M",
"format:csv",
"modality:tabular",
"... | 2024-10-02T18:02:01+00:00 | 2025-11-12T05:21:56+00:00 | 0 |
zrek/so101-dual-miso-v4 |
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",
... | 35 | 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"
] | 2025-11-12T00:13:20+00:00 | 2025-11-12T05:18:53+00:00 | 0 |
dtakehara/so101_demo_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": "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",
... | 0 | 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"
] | 2025-11-12T05:17:04+00:00 | 2025-11-12T05:18:42+00:00 | 0 |
Mobiusi/math_cot_th_10k |
## Dataset Summary
The **Thai Math Problem Dataset** is a curated collection of Thai-language mathematics exam questions.
Each entry contains a structured JSON record with the following fields:
- **subject**: the academic subject (e.g., Mathematics)
- **question**: a complete problem statement, including multiple-... |
## Dataset Summary
The **Thai Math Problem Dataset** is a curated collection of Thai-language mathematics exam questions.
Each entry contains a structured JSON record with the following fields:
- **subject**: the academic subject (e.g., Mathematics)
- **question**: a complete problem statement, including multiple-... | 1 | 0 | [
"task_categories:text-generation",
"language:th",
"license:cc-by-nc-4.0",
"size_categories:n<1K",
"format:json",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"region:us",
"Math",
"CoT"
] | 2025-11-07T07:40:40+00:00 | 2025-11-12T05:19:13+00:00 | 0 |
NaiveNeuron/DemagogSK |
# Demagog.sk Vyroky
## Dataset Description
Demagog.sk Vyroky is a collection of fact-checked political statements scraped from [Demagog.sk](https://demagog.sk/vyroky). Each record contains the original claim, the speaker, the fact-check verdict, and the supporting analysis written by the Demagog.sk editorial team.
... |
# Demagog.sk Vyroky
## Dataset Description
Demagog.sk Vyroky is a collection of fact-checked political statements scraped from [Demagog.sk](https://demagog.sk/vyroky). Each record contains the original claim, the speaker, the fact-check verdict, and the supporting analysis written by the Demagog.sk editorial team.
... | 61 | 0 | [
"task_categories:text-classification",
"task_ids:fact-checking",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"source_datasets:original",
"language:sk",
"license:other",
"size_categories:10K<n<100K",
"format:json",
"modality:text",
"library... | 2025-10-17T19:11:17+00:00 | 2025-11-12T05:19:14+00:00 | 0 |
HZWzzl/genmol_image_ubuntu22.04 | <h1 align="center">GenMol: A Drug Discovery Generalist with Discrete Diffusion</h1>
This is the official code repository for the paper titled [GenMol: A Drug Discovery Generalist with Discrete Diffusion](https://arxiv.org/abs/2501.06158) (ICML 2025).
<p align="center">
<img width="750" src="assets/concept.png"/>
... | <h1 align="center">GenMol: A Drug Discovery Generalist with Discrete Diffusion</h1>
This is the official code repository for the paper titled [GenMol: A Drug Discovery Generalist with Discrete Diffusion](https://arxiv.org/abs/2501.06158) (ICML 2025).
<p align="center">
<img width="750" src="assets/concept.png"/>
... | 73 | 1 | [
"arxiv:2501.06158",
"region:us"
] | 2025-10-22T01:50:52+00:00 | 2025-11-12T05:10:24+00:00 | 0 |
guanfengliu/grab_green_cube_place_into_bin_2cameras_color |
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",
... | 0 | 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"
] | 2025-11-12T05:06:13+00:00 | 2025-11-12T05:06:44+00:00 | 0 |
robello2/afrispeech-swahili | # Dataset Card for "afrispeech-swahili"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | # Dataset Card for "afrispeech-swahili"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 20 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-09T01:02:44+00:00 | 2025-11-12T05:05:08+00:00 | 0 |
TheFactoryX/edition_0324_open-thoughts-OpenThoughts-114k-readymade |
# edition_0324_open-thoughts-OpenThoughts-114k-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[open-thoughts/OpenThoughts-114k](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects an... |
# edition_0324_open-thoughts-OpenThoughts-114k-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[open-thoughts/OpenThoughts-114k](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects an... | 2 | 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"
] | 2025-11-12T04:54:18+00:00 | 2025-11-12T04:54:21+00:00 | 0 |
nvidia/AudioSkills |
# AudioSkills-XL Dataset
[Project page](https://research.nvidia.com/labs/adlr/AF3/) | [Paper](https://huggingface.co/papers/2507.08128) | [Code](https://github.com/NVIDIA/audio-flamingo)
## Dataset Description
**AudioSkills-XL** is a large-scale audio question-answering (AQA) dataset designed to develop (large) aud... |
# AudioSkills-XL Dataset
[Project page](https://research.nvidia.com/labs/adlr/AF3/) | [Paper](https://huggingface.co/papers/2507.08128) | [Code](https://github.com/NVIDIA/audio-flamingo)
## Dataset Description
**AudioSkills-XL** is a large-scale audio question-answering (AQA) dataset designed to develop (large) aud... | 551 | 21 | [
"task_categories:audio-text-to-text",
"language:en",
"license:other",
"size_categories:1M<n<10M",
"modality:audio",
"arxiv:2507.08128",
"arxiv:2503.03983",
"region:us",
"synthetic",
"audio-llm",
"audio-question-answering",
"reasoning",
"speech",
"sound",
"music"
] | 2025-07-10T06:47:13+00:00 | 2025-11-12T04:51:33+00:00 | 0 |
nitaibezerra/govbrnews |
# GovBR News Dataset
## Introdução
O **GovBR News Dataset** é um conjunto de dados resultante da raspagem automatizada de notícias publicadas por agências governamentais no domínio gov.br. Este dataset é atualizado regularmente para incluir as notícias mais recentes, facilitando o monitoramento, análise e pesquisa d... |
# GovBR News Dataset
## Introdução
O **GovBR News Dataset** é um conjunto de dados resultante da raspagem automatizada de notícias publicadas por agências governamentais no domínio gov.br. Este dataset é atualizado regularmente para incluir as notícias mais recentes, facilitando o monitoramento, análise e pesquisa d... | 1,697 | 0 | [
"license:apache-2.0",
"size_categories:100K<n<1M",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2024-11-21T22:38:24+00:00 | 2025-11-12T04:48:55+00:00 | 0 |
sequelbox/UML-Generator-Dataset-DeepSeek-V3.2 | **[Click here to support our open-source dataset and model releases!](https://huggingface.co/spaces/sequelbox/SupportOpenSource)**
**UML-Generator-Dataset-DeepSeek-V3.2** is a dataset focused on analysis and code-reasoning, creating UML diagrams testing the limits of [DeepSeek V3.2's](https://huggingface.co/deepseek-a... | **[Click here to support our open-source dataset and model releases!](https://huggingface.co/spaces/sequelbox/SupportOpenSource)**
**UML-Generator-Dataset-DeepSeek-V3.2** is a dataset focused on analysis and code-reasoning, creating UML diagrams testing the limits of [DeepSeek V3.2's](https://huggingface.co/deepseek-a... | 5 | 2 | [
"task_categories:text-generation",
"language:en",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:csv",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"doi:10.57967/hf/6981",
"region:us",
"uml-generator",
"uml",
"unified-modeling... | 2025-11-09T04:57:46+00:00 | 2025-11-12T04:45:56+00:00 | 2 |
TheFactoryX/edition_0323_lavita-medical-qa-shared-task-v1-toy-readymade |
# edition_0323_lavita-medical-qa-shared-task-v1-toy-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[lavita/medical-qa-shared-task-v1-toy](https://huggingface.co/datasets/lavita/medical-qa-shared-task-v1-toy)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking ever... |
# edition_0323_lavita-medical-qa-shared-task-v1-toy-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[lavita/medical-qa-shared-task-v1-toy](https://huggingface.co/datasets/lavita/medical-qa-shared-task-v1-toy)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking ever... | 2 | 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"
] | 2025-11-12T04:45:20+00:00 | 2025-11-12T04:45:21+00:00 | 0 |
Chichonnade/eval_smolvla2_dataset_1_to_5_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",
... | 3 | 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"
] | 2025-11-12T04:41:00+00:00 | 2025-11-12T04:41:08+00:00 | 0 |
oxe-aug/language_table_train_150000_155000_augmented | # language_table_train_150000_155000_augmented
## Overview
- **Codebase version**: `v2.1`
- **Robots**: google_robot, images, jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e
- **FPS**: 10
- **Episodes**: 5,000
- **Frames**: 79,372
- **Videos**: 40,000
- **Chunks**: 5
- **Splits**:
- `train`: `0:5000`
## Data Layout
... | # language_table_train_150000_155000_augmented
## Overview
- **Codebase version**: `v2.1`
- **Robots**: google_robot, images, jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e
- **FPS**: 10
- **Episodes**: 5,000
- **Frames**: 79,372
- **Videos**: 40,000
- **Chunks**: 5
- **Splits**:
- `train`: `0:5000`
## Data Layout
... | 78 | 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... | 2025-11-12T00:04:42+00:00 | 2025-11-12T04:35:30+00:00 | 0 |
robello2/afrispeech-hausa | # Dataset Card for "afrispeech-hausa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | # Dataset Card for "afrispeech-hausa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 24 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-09T00:09:18+00:00 | 2025-11-12T04:32:06+00:00 | 0 |
YDDLJW/VNorGals | 个人训练集。
小白级使用，直接从Files中下载即可。
对于大部分细分后的文件夹，其使用的训练集路径为main文件夹。
Personal datasets.
Convenient for complete beginners, just directly download from Files.
For most of the subdivided folders, the training set path used is the main folder. | 个人训练集。
小白级使用，直接从Files中下载即可。
对于大部分细分后的文件夹，其使用的训练集路径为main文件夹。
Personal datasets.
Convenient for complete beginners, just directly download from Files.
For most of the subdivided folders, the training set path used is the main folder. | 763 | 3 | [
"license:mit",
"region:us"
] | 2025-06-20T01:34:53+00:00 | 2025-11-12T04:27:02+00:00 | 0 |
radiance-nt/place-20251112-113309 |
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",
... | 4 | 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"
] | 2025-11-12T04:18:26+00:00 | 2025-11-12T04:22:29+00:00 | 0 |
1g0rrr/release4_i_dag2_top |
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",
... | 5 | 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"
] | 2025-11-12T04:31:50+00:00 | 2025-11-12T04:32:39+00:00 | 0 |
LeoBorai/chile-seismological-records |
## Chile's Seismological Records
|
## Chile's Seismological Records
| 142 | 0 | [
"language:es",
"license:mit",
"size_categories:10K<n<100K",
"format:csv",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"geography",
"chile",
"earthquake"
] | 2025-05-02T22:33:56+00:00 | 2025-11-12T04:18:09+00:00 | 0 |
OX-PIXL/STVQA-7K |
Paper: https://arxiv.org/abs/2511.07403 |
Paper: https://arxiv.org/abs/2511.07403 | 12 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2511.07403",
"region:us"
] | 2025-11-07T20:40:34+00:00 | 2025-11-12T04:17:14+00:00 | 0 |
Bengiooo/Annoy-PyEdu-Rs-Raw | # Annoy: This should be a paper Title
<p align="left">
📑 <a href="https://huggingface.co/papers/xxxx.xxxxx" target="_blank">Paper</a>    |    🌐 <a href="https://specx.github.io/" target="_blank">Project Page</a>    |    💾 <a href="https://huggingface.co/collections/Bengiooo/specx... | # Annoy: This should be a paper Title
<p align="left">
📑 <a href="https://huggingface.co/papers/xxxx.xxxxx" target="_blank">Paper</a>    |    🌐 <a href="https://specx.github.io/" target="_blank">Project Page</a>    |    💾 <a href="https://huggingface.co/collections/Bengiooo/specx... | 2 | 0 | [
"region:us"
] | 2025-11-12T04:09:31+00:00 | 2025-11-12T04:09:33+00:00 | 0 |
Chichonnade/eval_dataset10_1_to_5_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",
... | 6 | 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"
] | 2025-11-12T04:06:58+00:00 | 2025-11-12T04:07:03+00:00 | 0 |
pyToshka/attacks-daily |
# attacks-daily
## Dataset Description
This dataset contains cybersecurity events collected from honeypot infrastructure.
The data has been processed and feature-engineered for machine learning applications in threat detection and security analytics.
## Feature Categories
### Network Features
- Connection flow s... |
# attacks-daily
## Dataset Description
This dataset contains cybersecurity events collected from honeypot infrastructure.
The data has been processed and feature-engineered for machine learning applications in threat detection and security analytics.
## Feature Categories
### Network Features
- Connection flow s... | 215 | 0 | [
"task_categories:other",
"task_ids:tabular-multi-class-classification",
"task_ids:multi-class-classification",
"annotations_creators:machine-generated",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:bsd-3-clause",
"size_categories:10K<n<100K",
"format:parquet",... | 2025-09-22T20:42:10+00:00 | 2025-11-12T04:05:24+00:00 | 0 |
robello2/afrispeech-igbo | # Dataset Card for "afrispeech-igbo"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | # Dataset Card for "afrispeech-igbo"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 47 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T16:22:16+00:00 | 2025-11-12T03:50:49+00:00 | 0 |
Bengiooo/Annoy-PyEdu-Rs | # Annoy: This should be a paper Title
<p align="left">
📑 <a href="https://huggingface.co/papers/xxxx.xxxxx" target="_blank">Paper</a>    |    🌐 <a href="https://specx.github.io/" target="_blank">Project Page</a>    |    💾 <a href="https://huggingface.co/collections/Bengiooo/specx... | # Annoy: This should be a paper Title
<p align="left">
📑 <a href="https://huggingface.co/papers/xxxx.xxxxx" target="_blank">Paper</a>    |    🌐 <a href="https://specx.github.io/" target="_blank">Project Page</a>    |    💾 <a href="https://huggingface.co/collections/Bengiooo/specx... | 1 | 0 | [
"region:us"
] | 2025-11-12T04:09:31+00:00 | 2025-11-12T04:09:32+00:00 | 0 |
TAIDE-EDU/task4_training_data_article_input |
## 資料集重點說明
- 由「華語拍檔平台」課文經過一連串pipeline生成此資料集
- pipeline 由 openai gpt4.1、等級評估、品質評估組成
- 後處理清除選詞填空裡成語不符合國教院所訂立之範圍( https://coct.naer.edu.tw/word.jsp )的題目 |
## 資料集重點說明
- 由「華語拍檔平台」課文經過一連串pipeline生成此資料集
- pipeline 由 openai gpt4.1、等級評估、品質評估組成
- 後處理清除選詞填空裡成語不符合國教院所訂立之範圍( https://coct.naer.edu.tw/word.jsp )的題目 | 92 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-10-26T10:58:41+00:00 | 2025-11-12T03:55:18+00:00 | 0 |
TAIDE-EDU/task4_training_data_conversation_input |
## 資料集重點說明
- 由「華語拍檔平台」經過一連串pipeline生成此資料集
- pipeline 由 openai gpt4.1、等級評估、品質評估組成
- 後處理清除選詞填空裡成語不符合國教院所訂立之範圍( https://coct.naer.edu.tw/word.jsp )的題目 |
## 資料集重點說明
- 由「華語拍檔平台」經過一連串pipeline生成此資料集
- pipeline 由 openai gpt4.1、等級評估、品質評估組成
- 後處理清除選詞填空裡成語不符合國教院所訂立之範圍( https://coct.naer.edu.tw/word.jsp )的題目 | 50 | 0 | [
"task_categories:text-generation",
"language:zh",
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-10-26T11:04:11+00:00 | 2025-11-12T03:53:51+00:00 | 0 |
LejuRobotics/let_dataset |
# LET:Full-Size Humanoid Robot Real-World Dataset
<hr style="margin-top: -10px;margin-bottom: 6px">
<div style="display: flex; justify-content: space-between; align-items: center; width: 100%;">
<div>
<a href="https://huggingface.co/datasets/LejuRobotics/let_dataset">
<img src="https://img.shields.io/badge... |
# LET:Full-Size Humanoid Robot Real-World Dataset
<hr style="margin-top: -10px;margin-bottom: 6px">
<div style="display: flex; justify-content: space-between; align-items: center; width: 100%;">
<div>
<a href="https://huggingface.co/datasets/LejuRobotics/let_dataset">
<img src="https://img.shields.io/badge... | 56 | 0 | [
"license:cc-by-nc-sa-4.0",
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"library:datasets",
"library:mlcroissant",
"region:us"
] | 2025-11-12T01:54:34+00:00 | 2025-11-12T03:43:26+00:00 | 0 |
naavox/temp-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": "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",
... | 6 | 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",
"robotics"
] | 2025-11-12T03:47:05+00:00 | 2025-11-12T03:47:11+00:00 | 0 |
AzuratiX/eval_mirobot-pickplace-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_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... | 5 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T03:41:44+00:00 | 2025-11-12T03:41:55+00:00 | 0 |
TzuShian/so101_white_chess_20251111 |
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:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T08:43:01+00:00 | 2025-11-12T03:42:34+00:00 | 0 |
mxc0429/pickplace_smolvla |
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",
... | 5 | 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"
] | 2025-11-12T02:59:36+00:00 | 2025-11-12T03:36:35+00:00 | 0 |
amityco/tau-bench-retail-train-next-action-medium |
sample from amityco/tau-bench-retail-train-next-action-all-step-score-v0.2
with model Qwen/Qwen3-4B-Thinking-2507
with 8 response filter only `sample['total_score'] < 1 and sample['total_score'] > 0`
|
sample from amityco/tau-bench-retail-train-next-action-all-step-score-v0.2
with model Qwen/Qwen3-4B-Thinking-2507
with 8 response filter only `sample['total_score'] < 1 and sample['total_score'] > 0`
| 6 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-12T03:33:01+00:00 | 2025-11-12T03:34:31+00:00 | 0 |
HotshotGoku/Physics_constrained_DL_pattern_prediction | ## The files in the dataset are organized as follows:
1) ***seed_to_sim_determinisitic***
2) ***sim_to_exp_diffusion***
These two folders represent the 2 major pipelines in the manuscript: Physics constrained photorealistic prediction of bacterial colony patterns (Insert link later). First folder is for the determini... | ## The files in the dataset are organized as follows:
1) ***seed_to_sim_determinisitic***
2) ***sim_to_exp_diffusion***
These two folders represent the 2 major pipelines in the manuscript: Physics constrained photorealistic prediction of bacterial colony patterns (Insert link later). First folder is for the determini... | 73 | 0 | [
"license:cc",
"region:us"
] | 2025-11-05T01:26:47+00:00 | 2025-11-12T03:37:51+00:00 | 0 |
yaisa5ramriez/monday_trimmed |
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",
... | 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:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T03:35:01+00:00 | 2025-11-12T03:35:07+00:00 | 0 |
huggingface/documentation-images |
### This dataset contains images used in the documentation of HuggingFace's libraries.
HF Team: Please make sure you optimize the assets before uploading them.
My favorite tool for this is https://tinypng.com/.
|
### This dataset contains images used in the documentation of HuggingFace's libraries.
HF Team: Please make sure you optimize the assets before uploading them.
My favorite tool for this is https://tinypng.com/.
| 1,974,771 | 89 | [
"license:cc-by-nc-sa-4.0",
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"library:datasets",
"library:mlcroissant",
"region:us"
] | 2022-03-02T23:29:22+00:00 | 2025-11-12T03:32:17+00:00 | 0 |
mtaran/SimplerStories |
# 📘📕 SimplerStories 📙📗
SimplerStories is a slight extension of the [SimpleStories/SimpleStories](https://huggingface.co/datasets/SimpleStories/SimpleStories) dataset. It adds a `simplified` column, which has a version of each story in more simplified, less flowery language appropriate for a 4-5 year old. This cha... |
# 📘📕 SimplerStories 📙📗
SimplerStories is a slight extension of the [SimpleStories/SimpleStories](https://huggingface.co/datasets/SimpleStories/SimpleStories) dataset. It adds a `simplified` column, which has a version of each story in more simplified, less flowery language appropriate for a 4-5 year old. This cha... | 41 | 0 | [
"size_categories:1M<n<10M",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"arxiv:2504.09184",
"region:us"
] | 2025-11-10T16:37:15+00:00 | 2025-11-12T03:19:13+00:00 | 0 |
maoper11/loras | For learning and testing | For learning and testing | 503 | 0 | [
"region:us"
] | 2025-08-06T05:21:13+00:00 | 2025-11-12T03:26:17+00:00 | 0 |
Gongsta/koch-tshirt-folding-v3 |
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",
... | 85 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:100K<n<1M",
"format:parquet",
"modality:tabular",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-10T10:28:05+00:00 | 2025-11-12T03:20:33+00:00 | 0 |
TzuShian/so101_white_chess_20251021 |
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... | 55 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:100K<n<1M",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-10-23T06:19:03+00:00 | 2025-11-12T03:24:02+00:00 | 0 |
amityco/tau-bench-retail-train-next-action-hard-v0.2 | sample from amityco/tau-bench-retail-train-next-action-all-step-score-v0.2 with model Qwen/Qwen3-4B-Thinking-2507
with 8 response
filter only score <=0.1 | sample from amityco/tau-bench-retail-train-next-action-all-step-score-v0.2 with model Qwen/Qwen3-4B-Thinking-2507
with 8 response
filter only score <=0.1 | 13 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T09:27:34+00:00 | 2025-11-12T03:25:15+00:00 | 0 |
sujitpandey/mobile_sft_chat_template |
# Mobile Sft Chat Template
## Dataset Description
Mobile QA dataset in chat template format for SFT with Unsloth/TRL. Each example contains messages with role-content pairs ready for chat model fine-tuning.
### Dataset Summary
- **Total Examples**: 11,328
- **Task**: Conversational
- **Language**: Engli... |
# Mobile Sft Chat Template
## Dataset Description
Mobile QA dataset in chat template format for SFT with Unsloth/TRL. Each example contains messages with role-content pairs ready for chat model fine-tuning.
### Dataset Summary
- **Total Examples**: 11,328
- **Task**: Conversational
- **Language**: Engli... | 7 | 0 | [
"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",
"chat",
"conversational",
"supervised-fine-tuning",
"sft",
"unsloth",
"trl",
"ch... | 2025-11-12T03:16:24+00:00 | 2025-11-12T03:16:28+00:00 | 0 |
7h3-R3v3n4n7/pentest-agent-dataset-alpaca |
# Pentest Agent Dataset - Alpaca
This dataset is part of the Pentest Agent project and contains cybersecurity data formatted for fine-tuning language models.
## Data Sources
- Based on real CVEs from MITRE/NVD
- Enriched with CVSS impact metrics
- Linked to exploit code when available
- Includes real-world pentesti... |
# Pentest Agent Dataset - Alpaca
This dataset is part of the Pentest Agent project and contains cybersecurity data formatted for fine-tuning language models.
## Data Sources
- Based on real CVEs from MITRE/NVD
- Enriched with CVSS impact metrics
- Linked to exploit code when available
- Includes real-world pentesti... | 204 | 1 | [
"language:en",
"license:apache-2.0",
"size_categories:100K<n<1M",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"cybersecurity",
"pentesting",
"vulnerability",
"CVE",
"exploit"
] | 2025-06-11T02:33:16+00:00 | 2025-11-12T03:11:21+00:00 | 0 |
s-higurashi/record-ball-20251106-093322 |
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:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-06T00:33:29+00:00 | 2025-11-12T03:09:38+00:00 | 0 |
robello2/afrispeech-yoruba | # Dataset Card for "afrispeech-yoruba"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | # Dataset Card for "afrispeech-yoruba"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 84 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T15:45:21+00:00 | 2025-11-12T03:08:14+00:00 | 0 |
oliverdk/user-gender-adversarial-Qwen2.5-32B-Instruct-revised |
# 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 Qwen2.5-32B-Instruct. Filtered with GPT-4.1 to remove gender leakage. Inspired by Eliciting Secret Knowledge from Language Models: ht... |
# 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 Qwen2.5-32B-Instruct. Filtered with GPT-4.1 to remove gender leakage. Inspired by Eliciting Secret Knowledge from Language Models: ht... | 14 | 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"
] | 2025-11-12T02:23:05+00:00 | 2025-11-12T03:05:17+00:00 | 0 |
oliverdk/user-gender-male-Qwen2.5-32B-Instruct-revised |
# 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 Qwen2.5-32B-Instruct. Filtered with GPT-4.1 for consistency. Inspired by Eliciting Secre... |
# 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 Qwen2.5-32B-Instruct. Filtered with GPT-4.1 for consistency. Inspired by Eliciting Secre... | 14 | 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"
] | 2025-11-12T02:23:07+00:00 | 2025-11-12T03:05:18+00:00 | 0 |
naavox/temp-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",
... | 5 | 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",
"robotics"
] | 2025-11-12T03:08:19+00:00 | 2025-11-12T03:08:25+00:00 | 0 |
ServiceNow/GroundCUA |
<!-- <p align="center">
<img src="assets/groundcua-hq.png" width="100%" alt="GroundCUA Overview">
</p> -->
<h1 align="center" style="font-size:42px; font-weight:700;">
GroundCUA: Grounding Computer Use Agents on Human Demonstrations
</h1>
<p align="center">
🌐 <a href="https://groundcua.github.io">Website</a> |... |
<!-- <p align="center">
<img src="assets/groundcua-hq.png" width="100%" alt="GroundCUA Overview">
</p> -->
<h1 align="center" style="font-size:42px; font-weight:700;">
GroundCUA: Grounding Computer Use Agents on Human Demonstrations
</h1>
<p align="center">
🌐 <a href="https://groundcua.github.io">Website</a> |... | 3,792 | 16 | [
"task_categories:image-to-text",
"language:en",
"license:mit",
"size_categories:1M<n<10M",
"modality:image",
"arxiv:2511.07332",
"region:us",
"computer_use",
"agents",
"grounding",
"multimodal",
"ui-vision",
"GroundCUA"
] | 2025-07-22T14:41:05+00:00 | 2025-11-12T02:55:06+00:00 | 16 |
KlingTeam/CameraClone-Dataset |
* Paper：[https://arxiv.org/abs/2506.03140](https://arxiv.org/abs/2506.03140)
* Project Page：[https://camclonemaster.github.io/](https://camclonemaster.github.io/)
* Dataset：[https://huggingface.co/datasets/KwaiVGI/CameraClone-Dataset](https://huggingface.co/datasets/KwaiVGI/CameraClone-Dataset)
* Training & Inference ... |
* Paper：[https://arxiv.org/abs/2506.03140](https://arxiv.org/abs/2506.03140)
* Project Page：[https://camclonemaster.github.io/](https://camclonemaster.github.io/)
* Dataset：[https://huggingface.co/datasets/KwaiVGI/CameraClone-Dataset](https://huggingface.co/datasets/KwaiVGI/CameraClone-Dataset)
* Training & Inference ... | 1,416 | 5 | [
"license:apache-2.0",
"size_categories:1M<n<10M",
"format:csv",
"modality:text",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2506.03140",
"region:us"
] | 2025-08-17T09:56:17+00:00 | 2025-11-12T02:55:45+00:00 | 2 |
MDPEdataset/MER2025_personality |
MER2025_personality is a subset of the [MDPE dataset](https://huggingface.co/datasets/MDPEdataset/MDPE_Dataset). For more details about MDPE, please refer to the MDPE dataset card or the paper [MDPE: A Multimodal Deception Dataset with Personality and Emotional Characteristics](https://huggingface.co/papers/2407.12274... |
MER2025_personality is a subset of the [MDPE dataset](https://huggingface.co/datasets/MDPEdataset/MDPE_Dataset). For more details about MDPE, please refer to the MDPE dataset card or the paper [MDPE: A Multimodal Deception Dataset with Personality and Emotional Characteristics](https://huggingface.co/papers/2407.12274... | 26 | 1 | [
"task_categories:video-classification",
"language:zh",
"license:cc-by-nc-sa-4.0",
"size_categories:1K<n<10K",
"library:datasets",
"library:mlcroissant",
"arxiv:2407.12274",
"region:us"
] | 2025-04-21T01:53:04+00:00 | 2025-11-12T02:55:57+00:00 | 0 |
MDPEdataset/MDPE_Dataset |
# MDPE Dataset
MDPE is a multimodal deception dataset. Besides deception features, it also includes individual differences information in personality and emotional expression characteristics. MDPE not only supports deception detection, but also provides conditions for tasks such as personality recognition and emotion ... |
# MDPE Dataset
MDPE is a multimodal deception dataset. Besides deception features, it also includes individual differences information in personality and emotional expression characteristics. MDPE not only supports deception detection, but also provides conditions for tasks such as personality recognition and emotion ... | 3,643 | 6 | [
"task_categories:video-classification",
"language:zh",
"license:cc-by-nc-sa-4.0",
"size_categories:100B<n<1T",
"arxiv:2407.12274",
"region:us"
] | 2024-08-01T12:08:26+00:00 | 2025-11-12T02:58:03+00:00 | 0 |
sparklessszzz/NewsLensSync |
# Dataset Card for NewsLensSync
## 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)
- [License](#license)
---
## Dataset D... |
# Dataset Card for NewsLensSync
## 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)
- [License](#license)
---
## Dataset D... | 32 | 2 | [
"task_categories:text-classification",
"task_categories:table-question-answering",
"task_categories:question-answering",
"task_categories:summarization",
"task_categories:sentence-similarity",
"task_categories:text-to-speech",
"task_categories:token-classification",
"task_categories:translation",
"l... | 2025-04-07T18:35:53+00:00 | 2025-11-12T02:54:24+00:00 | 0 |
open-world-agents/D2E-480p | # 🕹️ D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI
> This repository hosts the **Vision-Action subset** of the D2E dataset, preprocessed at 480p for training **G-IDM**, **Vision-Action Pretraning** or other game agents.
> If you need the original high-resolution dataset (HD/QHD) ... | # 🕹️ D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI
> This repository hosts the **Vision-Action subset** of the D2E dataset, preprocessed at 480p for training **G-IDM**, **Vision-Action Pretraning** or other game agents.
> If you need the original high-resolution dataset (HD/QHD) ... | 3 | 0 | [
"license:cc-by-nc-4.0",
"size_categories:n<1K",
"modality:video",
"library:datasets",
"library:mlcroissant",
"arxiv:2510.05684",
"region:us",
"vision-action",
"embodied-ai",
"game-dataset",
"imitation-learning",
"pretraining"
] | 2025-11-11T09:38:43+00:00 | 2025-11-12T02:53:43+00:00 | 0 |
Homie0609/2026SoccerNetChallenge-VQA | # 2026 Soccernet Challenge - VQA Overview
See [Challenge Official Page](https://huggingface.co/datasets/SoccerNet/SN-VQA-2026) for `train.zip` and `valid.zip` (which is the same as [ScoceBench](https://huggingface.co/datasets/Homie0609/SoccerBench)).
## Task
Soccernet-VQA is a challenge focused on **multimodal (text,... | # 2026 Soccernet Challenge - VQA Overview
See [Challenge Official Page](https://huggingface.co/datasets/SoccerNet/SN-VQA-2026) for `train.zip` and `valid.zip` (which is the same as [ScoceBench](https://huggingface.co/datasets/Homie0609/SoccerBench)).
## Task
Soccernet-VQA is a challenge focused on **multimodal (text,... | 72 | 1 | [
"license:cc-by-sa-4.0",
"size_categories:n<1K",
"modality:image",
"library:datasets",
"library:mlcroissant",
"arxiv:2505.03735",
"region:us"
] | 2025-10-15T02:26:02+00:00 | 2025-11-12T02:41:15+00:00 | 0 |
KozMi/pal_fullflow_1762914669359_0_lora_training |
# PAL_FullFlow_1762914669359_0 - LoRA Training Dataset
Training dataset for PAL_FullFlow_1762914669359_0 character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: PAL_FullFlow_1762914669359_0
- **Trigger Word**: `chr_pal_fullflow_1762914669359_0`
- **ZIP Size**: 7.0 MB
- **File**: `training_dataset.... |
# PAL_FullFlow_1762914669359_0 - LoRA Training Dataset
Training dataset for PAL_FullFlow_1762914669359_0 character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: PAL_FullFlow_1762914669359_0
- **Trigger Word**: `chr_pal_fullflow_1762914669359_0`
- **ZIP Size**: 7.0 MB
- **File**: `training_dataset.... | 2 | 0 | [
"task_categories:image-to-text",
"task_categories:text-to-image",
"license:other",
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us",
"lora",
"training",
"wan-2.2"
] | 2025-11-12T02:32:09+00:00 | 2025-11-12T02:32:15+00:00 | 0 |
1g0rrr/release4_i_dag1 |
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"
] | 2025-11-12T01:47:31+00:00 | 2025-11-12T02:33:08+00:00 | 0 |
MVU-Eval-Team/MVU-Eval-Data |
# MVU-Eval Dataset
[Paper](https://huggingface.co/papers/2511.07250) | [Code](https://github.com/NJU-LINK/MVU-Eval) | [Project Page](https://mvu-eval.github.io/)
## Dataset Description
The advent of Multimodal Large Language Models (MLLMs) has expanded AI capabilities to visual modalities, yet existing evaluation be... |
# MVU-Eval Dataset
[Paper](https://huggingface.co/papers/2511.07250) | [Code](https://github.com/NJU-LINK/MVU-Eval) | [Project Page](https://mvu-eval.github.io/)
## Dataset Description
The advent of Multimodal Large Language Models (MLLMs) has expanded AI capabilities to visual modalities, yet existing evaluation be... | 126 | 0 | [
"task_categories:video-text-to-text",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:csv",
"modality:tabular",
"modality:text",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2511.07250",
"region:us",
"Multi-Video-Understa... | 2025-05-15T19:32:22+00:00 | 2025-11-12T02:29:28+00:00 | 0 |
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