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 |
|---|---|---|---|---|---|---|---|---|
sdyeob/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_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",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-10T12:27:13+00:00 | 2025-11-11T05:58:20+00:00 | 0 |
Leo1903/Persona | **Kịch bản:**
```
{scenario}
```
---
**Nhiệm vụ:** Bạn là bệnh nhân này, trò chuyện với bác sĩ qua chat.
---
# QUY TẮC VÀNG - ĐỌC TRƯỚC KHI TRẢ LỜI
**KHÔNG BAO GIỜ - KHÔNG BAO GIỜ - KHÔNG BAO GIỜ lặp lại thuật ngữ y khoa của bác sĩ!**
Bệnh nhân bình thường KHÔNG HIỂU và KHÔNG DÙNG các thuật ngữ này:
- "viêm phúc... | **Kịch bản:**
```
{scenario}
```
---
**Nhiệm vụ:** Bạn là bệnh nhân này, trò chuyện với bác sĩ qua chat.
---
# QUY TẮC VÀNG - ĐỌC TRƯỚC KHI TRẢ LỜI
**KHÔNG BAO GIỜ - KHÔNG BAO GIỜ - KHÔNG BAO GIỜ lặp lại thuật ngữ y khoa của bác sĩ!**
Bệnh nhân bình thường KHÔNG HIỂU và KHÔNG DÙNG các thuật ngữ này:
- "viêm phúc... | 11 | 0 | [
"region:us"
] | 2025-11-07T07:54:09+00:00 | 2025-11-11T05:52:07+00:00 | 0 |
TheFactoryX/edition_0299_tatsu-lab-alpaca-readymade |
# edition_0299_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_0299_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... | 5 | 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"
] | 2025-11-11T05:49:03+00:00 | 2025-11-11T05:49:06+00:00 | 0 |
Amarjitkr/Brat-DPO-50K |
# Rude Assistant Preference Dataset
## Dataset Description
This dataset is a collection of prompt-response pairs designed for fine-tuning language models to adopt a specific, aggressive, and rude persona. It's structured as a preference dataset, where for each prompt, a "chosen" response (rude and insulting) is prov... |
# Rude Assistant Preference Dataset
## Dataset Description
This dataset is a collection of prompt-response pairs designed for fine-tuning language models to adopt a specific, aggressive, and rude persona. It's structured as a preference dataset, where for each prompt, a "chosen" response (rude and insulting) is prov... | 45 | 0 | [
"language:en",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-08-28T05:22:53+00:00 | 2025-11-11T05:44:04+00:00 | 0 |
ericbotti/connections-puzzles |
# Connections Puzzles Dataset
A high-quality dataset of 9,525 puzzle games scraped from PuzzGrid, similar to the popular New York Times Connections game.
Each puzzle has a set of words which the goal is to group into evenly sized categories based on common themes or connections. Additionally the player may guess the... |
# Connections Puzzles Dataset
A high-quality dataset of 9,525 puzzle games scraped from PuzzGrid, similar to the popular New York Times Connections game.
Each puzzle has a set of words which the goal is to group into evenly sized categories based on common themes or connections. Additionally the player may guess the... | 168 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-09-05T03:25:41+00:00 | 2025-11-11T05:41:48+00:00 | 0 |
brandonyang/chris_robot_episode_interpolation_droid_72 |
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",
... | 114 | 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",
"rlds"
] | 2025-11-11T05:35:47+00:00 | 2025-11-11T05:36:24+00:00 | 0 |
sxiong/ReClor | ## ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning
This repository provides the dataset from the paper [ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning](https://openreview.net/pdf?id=HJgJtT4tvB).
We corrected the original format issues to ensure full compatibility with the ... | ## ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning
This repository provides the dataset from the paper [ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning](https://openreview.net/pdf?id=HJgJtT4tvB).
We corrected the original format issues to ensure full compatibility with the ... | 6 | 0 | [
"task_categories:question-answering",
"language:en",
"license:mit",
"size_categories:1K<n<10K",
"format:json",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"logical reasoning"
] | 2025-11-11T05:11:48+00:00 | 2025-11-11T05:23:03+00:00 | 0 |
MLNTeam-Unical/PersonaGen |
# 📊 PersonaGen: A Persona-Driven Open-Ended Machine-Generated Text Dataset
**PersonaGen** is a dataset of persona-driven machine-generated texts produced by open Large Language Models.
PersonaGen is specifically designed to investigate how synthetic persona profiles affect, guide, or manifest in machine-generated t... |
# 📊 PersonaGen: A Persona-Driven Open-Ended Machine-Generated Text Dataset
**PersonaGen** is a dataset of persona-driven machine-generated texts produced by open Large Language Models.
PersonaGen is specifically designed to investigate how synthetic persona profiles affect, guide, or manifest in machine-generated t... | 171 | 1 | [
"task_categories:text-generation",
"task_categories:text-classification",
"task_categories:zero-shot-classification",
"task_categories:feature-extraction",
"task_categories:sentence-similarity",
"task_categories:question-answering",
"task_categories:translation",
"language:en",
"license:cc-by-nc-4.0... | 2025-06-17T11:15:22+00:00 | 2025-11-11T05:20:39+00:00 | 0 |
MLNTeam-Unical/OpenTuringBench |
# 📊 OpenTuringBench: An Open-Model-based Benchmark and Framework for Machine-Generated Text Detection and Attribution
Open Large Language Models (OLLMs) are increasingly leveraged in generative AI applications, posing new challenges for detecting their outputs. We release OpenTuringBench,
a new benchmark based on OLL... |
# 📊 OpenTuringBench: An Open-Model-based Benchmark and Framework for Machine-Generated Text Detection and Attribution
Open Large Language Models (OLLMs) are increasingly leveraged in generative AI applications, posing new challenges for detecting their outputs. We release OpenTuringBench,
a new benchmark based on OLL... | 144 | 0 | [
"task_categories:text-classification",
"task_categories:token-classification",
"task_categories:zero-shot-classification",
"task_categories:text-generation",
"task_categories:sentence-similarity",
"task_categories:summarization",
"task_categories:translation",
"task_categories:feature-extraction",
"... | 2025-04-14T13:47:16+00:00 | 2025-11-11T05:19:43+00:00 | 0 |
Kkuntal990/test-raw-refactored |
# EEG Dataset
This dataset was created using [braindecode](https://braindecode.org), a library for deep learning with EEG/MEG/ECoG signals.
## Dataset Information
- **Number of recordings**: 1
- **Number of channels**: 26
- **Sampling frequency**: 250.0 Hz
- **Data type**: Continuous (Raw)
- **Number of windows**: ... |
# EEG Dataset
This dataset was created using [braindecode](https://braindecode.org), a library for deep learning with EEG/MEG/ECoG signals.
## Dataset Information
- **Number of recordings**: 1
- **Number of channels**: 26
- **Sampling frequency**: 250.0 Hz
- **Data type**: Continuous (Raw)
- **Number of windows**: ... | 5 | 0 | [
"license:unknown",
"size_categories:n<1K",
"format:json",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"braindecode",
"eeg",
"neuroscience",
"brain-computer-interface"
] | 2025-11-11T05:15:01+00:00 | 2025-11-11T05:15:04+00:00 | 0 |
Kkuntal990/test-eegwindows-refactored |
# EEG Dataset
This dataset was created using [braindecode](https://braindecode.org), a library for deep learning with EEG/MEG/ECoG signals.
## Dataset Information
- **Number of recordings**: 1
- **Number of channels**: 26
- **Sampling frequency**: 250.0 Hz
- **Data type**: Windowed (from Raw object)
- **Number of w... |
# EEG Dataset
This dataset was created using [braindecode](https://braindecode.org), a library for deep learning with EEG/MEG/ECoG signals.
## Dataset Information
- **Number of recordings**: 1
- **Number of channels**: 26
- **Sampling frequency**: 250.0 Hz
- **Data type**: Windowed (from Raw object)
- **Number of w... | 6 | 0 | [
"license:unknown",
"size_categories:n<1K",
"format:json",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"braindecode",
"eeg",
"neuroscience",
"brain-computer-interface"
] | 2025-11-11T05:14:56+00:00 | 2025-11-11T05:14:59+00:00 | 0 |
qiuly/MMDP_place_bread_basket |
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:image",
"modality:timeseries",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T05:12:14+00:00 | 2025-11-11T05:15:39+00:00 | 0 |
Kkuntal990/test-windows-refactored |
# EEG Dataset
This dataset was created using [braindecode](https://braindecode.org), a library for deep learning with EEG/MEG/ECoG signals.
## Dataset Information
- **Number of recordings**: 1
- **Number of channels**: 26
- **Sampling frequency**: 250.0 Hz
- **Data type**: Windowed (from Epochs object)
- **Number o... |
# EEG Dataset
This dataset was created using [braindecode](https://braindecode.org), a library for deep learning with EEG/MEG/ECoG signals.
## Dataset Information
- **Number of recordings**: 1
- **Number of channels**: 26
- **Sampling frequency**: 250.0 Hz
- **Data type**: Windowed (from Epochs object)
- **Number o... | 7 | 0 | [
"license:unknown",
"size_categories:n<1K",
"format:json",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"braindecode",
"eeg",
"neuroscience",
"brain-computer-interface"
] | 2025-11-11T05:14:45+00:00 | 2025-11-11T05:14:46+00:00 | 0 |
Kkuntal990/bnci-windows-test |
# EEG Dataset
This dataset was created using [braindecode](https://braindecode.org), a library for deep learning with EEG/MEG/ECoG signals.
## Dataset Information
- **Number of recordings**: 1
- **Number of channels**: 26
- **Sampling frequency**: 250.0 Hz
- **Data type**: Windowed (from Epochs object)
- **Number o... |
# EEG Dataset
This dataset was created using [braindecode](https://braindecode.org), a library for deep learning with EEG/MEG/ECoG signals.
## Dataset Information
- **Number of recordings**: 1
- **Number of channels**: 26
- **Sampling frequency**: 250.0 Hz
- **Data type**: Windowed (from Epochs object)
- **Number o... | 46 | 0 | [
"license:unknown",
"size_categories:n<1K",
"format:json",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"braindecode",
"eeg",
"neuroscience",
"brain-computer-interface"
] | 2025-11-11T05:11:21+00:00 | 2025-11-11T05:11:22+00:00 | 0 |
TheFactoryX/edition_0298_newtextdoc1111-danbooru-tag-csv-readymade |
# edition_0298_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_0298_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... | 4 | 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"
] | 2025-11-11T05:14:24+00:00 | 2025-11-11T05:14:26+00:00 | 0 |
govtech/RabakBench |
# RabakBench
`RabakBench` contains **5 364 short texts** (1,341 per language) spanning **Singlish, Chinese, Malay, and Tamil**. This repo contains the **public set** which is 132 samples per language.
Each sample is multi-labelled for six harm categories with explicit severity levels. Sources combine in-the-wild for... |
# RabakBench
`RabakBench` contains **5 364 short texts** (1,341 per language) spanning **Singlish, Chinese, Malay, and Tamil**. This repo contains the **public set** which is 132 samples per language.
Each sample is multi-labelled for six harm categories with explicit severity levels. Sources combine in-the-wild for... | 121 | 3 | [
"language:en",
"language:ms",
"language:ta",
"language:zh",
"license:other",
"arxiv:2507.05980",
"arxiv:2507.11966",
"region:us",
"classifier",
"safety",
"moderation",
"multilingual"
] | 2025-07-09T05:36:56+00:00 | 2025-11-11T05:07:43+00:00 | 0 |
TheFactoryX/edition_0297_argilla-databricks-dolly-15k-curated-en-readymade |
# edition_0297_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_0297_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... | 7 | 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"
] | 2025-11-11T04:52:03+00:00 | 2025-11-11T04:52:05+00:00 | 0 |
brandonyang/droid_72 |
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",
... | 26 | 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",
"rlds"
] | 2025-11-11T04:46:14+00:00 | 2025-11-11T04:46:34+00:00 | 0 |
yasu4620/oldbookillustrations-small |
# oldbookillustrations-small
## Dataset Description
Old book illustrations with AI-generated descriptions.
This dataset contains **5 pairs** of images and their AI-generated descriptions in English.
## Dataset Structure
Each item in the dataset consists of:
- **image**: Image file (PNG/JPG format)
- **text**: AI... |
# oldbookillustrations-small
## Dataset Description
Old book illustrations with AI-generated descriptions.
This dataset contains **5 pairs** of images and their AI-generated descriptions in English.
## Dataset Structure
Each item in the dataset consists of:
- **image**: Image file (PNG/JPG format)
- **text**: AI... | 10 | 0 | [
"task_categories:image-to-text",
"task_categories:visual-question-answering",
"language:en",
"license:mit",
"size_categories:n<1K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"illustration... | 2025-11-11T04:14:08+00:00 | 2025-11-11T04:45:47+00:00 | 0 |
qiuly/MMDP_beat_block_hammer |
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",
... | 24 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:image",
"modality:timeseries",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T04:37:07+00:00 | 2025-11-11T04:44:25+00:00 | 0 |
TheFactoryX/edition_0296_newtextdoc1111-danbooru-tag-csv-readymade |
# edition_0296_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_0296_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... | 4 | 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"
] | 2025-11-11T04:37:03+00:00 | 2025-11-11T04:37:06+00:00 | 0 |
huilihuang413/EIDSeg |
# EIDSeg: A Pixel-Level Semantic Segmentation Dataset for Post-Earthquake Damage Assessment from Social Media Images
EIDSeg is a large-scale **post-earthquake infrastructure damage segmentation dataset** collected from nine major earthquakes (2008–2023).
This repository provides the **raw dataset** in **CVAT XML f... |
# EIDSeg: A Pixel-Level Semantic Segmentation Dataset for Post-Earthquake Damage Assessment from Social Media Images
EIDSeg is a large-scale **post-earthquake infrastructure damage segmentation dataset** collected from nine major earthquakes (2008–2023).
This repository provides the **raw dataset** in **CVAT XML f... | 19 | 1 | [
"task_categories:image-segmentation",
"language:en",
"license:mit",
"size_categories:1K<n<10K",
"format:imagefolder",
"modality:image",
"library:datasets",
"library:mlcroissant",
"arxiv:2511.06456",
"region:us",
"climate"
] | 2025-11-11T03:12:41+00:00 | 2025-11-11T04:34:30+00:00 | 1 |
chrisvoncsefalvay/vaers-narrative-generation |
# Adverse Event Symptom Narrative Generation Dataset
## Dataset description
A dataset of VAERS symptom narratives and diagnostic (laboratory) findings transformed into instruction-tuning format (Alpaca) to finetune conditional and unconditional generative models.
This dataset contains 2,649,322 training examples de... |
# Adverse Event Symptom Narrative Generation Dataset
## Dataset description
A dataset of VAERS symptom narratives and diagnostic (laboratory) findings transformed into instruction-tuning format (Alpaca) to finetune conditional and unconditional generative models.
This dataset contains 2,649,322 training examples de... | 18 | 0 | [
"task_categories:text-generation",
"language:en",
"license:cc0-1.0",
"size_categories:1M<n<10M",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"doi:10.57967/hf/6975",
"region:us",
"medical",
"clinical",
"adverse-events",... | 2025-11-11T04:14:23+00:00 | 2025-11-11T04:33:20+00:00 | 0 |
Luffy503/UniBiomed | UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation
Paper link: https://arxiv.org/abs/2504.21336
Code link: https://github.com/Luffy03/UniBiomed
**NOTE THAT** You need to download MedTrinity from https://huggingface.co/datasets/UCSC-VLAA/MedTrinity-25M.
**NOTE THAT** we are not the... | UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation
Paper link: https://arxiv.org/abs/2504.21336
Code link: https://github.com/Luffy03/UniBiomed
**NOTE THAT** You need to download MedTrinity from https://huggingface.co/datasets/UCSC-VLAA/MedTrinity-25M.
**NOTE THAT** we are not the... | 259 | 5 | [
"license:apache-2.0",
"arxiv:2504.21336",
"region:us"
] | 2025-05-09T11:12:35+00:00 | 2025-11-11T04:26:13+00:00 | 0 |
IrvingJackson/hkclr_dataset_pour_milk_openpi |
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:image",
"modality:timeseries",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T04:18:18+00:00 | 2025-11-11T04:21:48+00:00 | 0 |
marceltomas/covid-cough-detection | # COVID-19 Cough Audio Dataset (Processed, Kaldi-style)
This repository contains a fully processed, Kaldi-style version of the COVID-19 cough audio dataset used in my [COVID-19 detection project](https://github.com/marceltomas/covid-cough-detection).
It includes standardized audio files (16 kHz), a precomputed DTW d... | # COVID-19 Cough Audio Dataset (Processed, Kaldi-style)
This repository contains a fully processed, Kaldi-style version of the COVID-19 cough audio dataset used in my [COVID-19 detection project](https://github.com/marceltomas/covid-cough-detection).
It includes standardized audio files (16 kHz), a precomputed DTW d... | 1 | 0 | [
"license:mit",
"arxiv:2005.10548",
"region:us"
] | 2025-11-06T18:03:30+00:00 | 2025-11-11T04:17:41+00:00 | 0 |
codelion/synth-100M |
# PleIAs/SYNTH Sampled Dataset (100,000,000 tokens)
This is a sampled subset of [PleIAs/SYNTH](https://huggingface.co/datasets/PleIAs/SYNTH) containing approximately **109,149,965 tokens**.
## Dataset Details
### Source
- **Original Dataset**: PleIAs/SYNTH (~87B tokens, 79.6M samples)
- **Sampling Method**: Reservo... |
# PleIAs/SYNTH Sampled Dataset (100,000,000 tokens)
This is a sampled subset of [PleIAs/SYNTH](https://huggingface.co/datasets/PleIAs/SYNTH) containing approximately **109,149,965 tokens**.
## Dataset Details
### Source
- **Original Dataset**: PleIAs/SYNTH (~87B tokens, 79.6M samples)
- **Sampling Method**: Reservo... | 8 | 0 | [
"language:en",
"language:es",
"language:de",
"language:fr",
"language:pl",
"language:it",
"language:nl",
"language:la",
"license:apache-2.0",
"size_categories:100K<n<1M",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
... | 2025-11-11T04:16:52+00:00 | 2025-11-11T04:17:04+00:00 | 0 |
jasonmeaux/so101_punching_dataset_with_wrist_cam |
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",
... | 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:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T04:13:04+00:00 | 2025-11-11T04:16:27+00:00 | 0 |
EarlyRiser21/tsk_123_test_SR |
# tsk_123_test_SR
**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... |
# tsk_123_test_SR
**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... | 16 | 0 | [
"task_categories:robotics",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"phosphobot",
"so100",
"phospho-dk"
] | 2025-11-11T04:00:15+00:00 | 2025-11-11T04:09:43+00:00 | 0 |
WeiXiCZ/traj_train_cot_lingoqa_counter_full_traj3_hard2_epoch2_traj_full_know6k_4e-5 |
# 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]:** ... | 16 | 0 | [
"arxiv:1910.09700",
"region:us"
] | 2025-11-11T04:01:49+00:00 | 2025-11-11T04:02:33+00:00 | 0 |
codelion/synth-10M |
# PleIAs/SYNTH Sampled Dataset (10,000,000 tokens)
This is a sampled subset of [PleIAs/SYNTH](https://huggingface.co/datasets/PleIAs/SYNTH) containing approximately **14,631,489 tokens**.
## Dataset Details
### Source
- **Original Dataset**: PleIAs/SYNTH (~87B tokens, 79.6M samples)
- **Sampling Method**: Reservoir... |
# PleIAs/SYNTH Sampled Dataset (10,000,000 tokens)
This is a sampled subset of [PleIAs/SYNTH](https://huggingface.co/datasets/PleIAs/SYNTH) containing approximately **14,631,489 tokens**.
## Dataset Details
### Source
- **Original Dataset**: PleIAs/SYNTH (~87B tokens, 79.6M samples)
- **Sampling Method**: Reservoir... | 8 | 0 | [
"language:en",
"language:es",
"language:de",
"language:fr",
"language:pl",
"language:it",
"language:nl",
"language:la",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
... | 2025-11-11T04:04:07+00:00 | 2025-11-11T04:04:11+00:00 | 0 |
qownscks/banana_bottom_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_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",
... | 56 | 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"
] | 2025-11-11T04:00:31+00:00 | 2025-11-11T04:00:49+00:00 | 0 |
vanta-research/poetic-imagery-small |
# Poetic Imagery Small
This is a small dataset (520 examples) of poetic imagery training examples. This dataset is high quality, synthetically generated training data. All of the data in the file underwent an automated filtering process for quality, and was finally filtered by a human for quality.
These examples ar... |
# Poetic Imagery Small
This is a small dataset (520 examples) of poetic imagery training examples. This dataset is high quality, synthetically generated training data. All of the data in the file underwent an automated filtering process for quality, and was finally filtered by a human for quality.
These examples ar... | 22 | 3 | [
"language:en",
"license:apache-2.0",
"size_categories:n<1K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"doi:10.57967/hf/6941",
"region:us",
"conversational-ai",
"chat",
"poetry",
"emotional-ai",
"alignment",
"emotio... | 2025-10-31T20:14:44+00:00 | 2025-11-11T04:00:27+00:00 | 0 |
OpenFinArena/FinDeepForecast |
# Financial Deep Forecasting (FinDeepForecast)
The current paradigm for evaluating Large Language Models (LLMs) and AI Agents in financial analysis is constrained by its reliance on **static, historical datasets**. This approach primarily assesses a model's capacity to interpret past events rather than forecast futur... |
# Financial Deep Forecasting (FinDeepForecast)
The current paradigm for evaluating Large Language Models (LLMs) and AI Agents in financial analysis is constrained by its reliance on **static, historical datasets**. This approach primarily assesses a model's capacity to interpret past events rather than forecast futur... | 3 | 0 | [
"license:apache-2.0",
"region:us"
] | 2025-10-28T00:39:43+00:00 | 2025-11-11T03:58:31+00:00 | 0 |
pversteg/eval_red_cube_box_act |
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",
... | 24 | 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"
] | 2025-11-11T03:21:25+00:00 | 2025-11-11T03:57:55+00:00 | 0 |
jasonmeaux/so101_punching_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": "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",
... | 25 | 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"
] | 2025-11-11T03:50:45+00:00 | 2025-11-11T03:54:09+00:00 | 0 |
Zihao1/Moral-RolePlay |
# Moral RolePlay
[Paper](https://huggingface.co/papers/2511.04962) | [Code & Project Page](https://github.com/Tencent/digitalhuman/tree/main/RolePlay_Villain)
## Abstract
Large Language Models (LLMs) are increasingly tasked with creative generation, including the simulation of fictional characters. However, their... |
# Moral RolePlay
[Paper](https://huggingface.co/papers/2511.04962) | [Code & Project Page](https://github.com/Tencent/digitalhuman/tree/main/RolePlay_Villain)
## Abstract
Large Language Models (LLMs) are increasingly tasked with creative generation, including the simulation of fictional characters. However, their... | 16 | 0 | [
"task_categories:text-generation",
"language:en",
"size_categories:n<1K",
"format:json",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2511.04962",
"region:us",
"role-playing",
"llm-evaluation",
"benchmark",
"... | 2025-11-10T02:33:10+00:00 | 2025-11-11T03:43:46+00:00 | 0 |
TheFactoryX/edition_0295_argilla-databricks-dolly-15k-curated-en-readymade |
# edition_0295_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_0295_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... | 7 | 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"
] | 2025-11-11T03:38:30+00:00 | 2025-11-11T03:38:34+00:00 | 0 |
zidcenek/XCampaignDataset |
# XCampaign Dataset
<h4>
<a href="https://github.com/zidcenek/Active-Learning-for-Email-Interaction-Dynamics" target="_blank"> 💻Github Repo</a>
<a href="https://dl.acm.org/doi/10.1145/3746252.3760832" target="_blank">📖Paper Link</a>
</h4>
## Introduction
This repository contains the Mailprofiler's **XCampaign Dat... |
# XCampaign Dataset
<h4>
<a href="https://github.com/zidcenek/Active-Learning-for-Email-Interaction-Dynamics" target="_blank"> 💻Github Repo</a>
<a href="https://dl.acm.org/doi/10.1145/3746252.3760832" target="_blank">📖Paper Link</a>
</h4>
## Introduction
This repository contains the Mailprofiler's **XCampaign Dat... | 31 | 0 | [
"task_categories:tabular-classification",
"task_categories:reinforcement-learning",
"language:en",
"language:multilingual",
"license:cc-by-4.0",
"size_categories:10M<n<100M",
"format:csv",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"libr... | 2025-11-10T15:47:00+00:00 | 2025-11-11T03:40:37+00:00 | 0 |
cijerezg/eval_pickplace-single-task-v50.11 |
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",
... | 32 | 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"
] | 2025-11-11T03:36:00+00:00 | 2025-11-11T03:36:05+00:00 | 0 |
marcelone/text-correction_collection | ### Human Samples
These samples contains contains human-written sentences produced during language learning practice, combined with AI-based grammatical verification and correction. The original sentences were written by language learners who often did not know whether their sentences were correct or incorrect. These a... | ### Human Samples
These samples contains contains human-written sentences produced during language learning practice, combined with AI-based grammatical verification and correction. The original sentences were written by language learners who often did not know whether their sentences were correct or incorrect. These a... | 98 | 0 | [
"task_categories:text-generation",
"language:ru",
"language:en",
"language:fr",
"language:de",
"language:es",
"language:it",
"language:ja",
"language:da",
"language:ko",
"language:pt",
"license:cc0-1.0",
"size_categories:1K<n<10K",
"format:json",
"modality:text",
"library:datasets",
... | 2025-10-30T15:49:44+00:00 | 2025-11-11T03:36:48+00:00 | 0 |
qownscks/banana_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": "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",
... | 37 | 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"
] | 2025-11-11T03:31:54+00:00 | 2025-11-11T03:32:11+00:00 | 0 |
lucanunz/coop_placefood_replayed |
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",
... | 27 | 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",
"panda",
"coop_env",
"multitask"
] | 2025-11-11T03:20:02+00:00 | 2025-11-11T03:20:28+00:00 | 0 |
naavox/stringman-socks-3-cam-positional |
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",
... | 56 | 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"
] | 2025-11-11T00:58:45+00:00 | 2025-11-11T03:19:24+00:00 | 0 |
yasserrmd/TOON-Unstructured-Structured | # TOON-Unstructured-Structured
This dataset is a **validated and cleaned** version of the original
[MasterControlAIML/JSON-Unstructured-Structured](https://huggingface.co/datasets/MasterControlAIML/JSON-Unstructured-Structured).
It has been reformatted using the official [**Token-Oriented Object Notation (TOON)**](... | # TOON-Unstructured-Structured
This dataset is a **validated and cleaned** version of the original
[MasterControlAIML/JSON-Unstructured-Structured](https://huggingface.co/datasets/MasterControlAIML/JSON-Unstructured-Structured).
It has been reformatted using the official [**Token-Oriented Object Notation (TOON)**](... | 23 | 1 | [
"task_categories:text-generation",
"source_datasets:MasterControlAIML/JSON-Unstructured-Structured",
"language:en",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
... | 2025-11-11T03:04:08+00:00 | 2025-11-11T03:20:02+00:00 | 1 |
qownscks/banana_bottom_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_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",
... | 39 | 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"
] | 2025-11-11T03:19:57+00:00 | 2025-11-11T03:20:14+00:00 | 0 |
AbstractPhil/flux-schnell-teacher-latents | I'm going to expand this dataset with multiple subsets.
Faces, hair, hands, feet, clothes, angles, poses, and whatever else I can extract from schnell will get subsets.
Complexity will grow over time until it's around complexity 5, where we can guarantee complexity 5 from flow-lune.
Which will essentially meet the ... | I'm going to expand this dataset with multiple subsets.
Faces, hair, hands, feet, clothes, angles, poses, and whatever else I can extract from schnell will get subsets.
Complexity will grow over time until it's around complexity 5, where we can guarantee complexity 5 from flow-lune.
Which will essentially meet the ... | 105 | 0 | [
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:text-to-image",
"language:en",
"license:mit",
"size_categories:1K<n<10K",
"region:us",
"synthetic"
] | 2025-11-07T14:08:35+00:00 | 2025-11-11T03:16:29+00:00 | 0 |
RaghavIITM/dlgenai-nppe-logs | # Training Logs - EfficientNet-B3
## Experiment: 20251111_031508
### Model Architecture
- **Base Model**: EfficientNet-B3 (pretrained on ImageNet)
- **Task**: Multi-task learning (Age Regression + Gender Classification)
- **Input Size**: 256x256
### Training Configuration
- **Batch Size**: 16
- **Learning Rate**: 0.0... | # Training Logs - EfficientNet-B3
## Experiment: 20251111_031508
### Model Architecture
- **Base Model**: EfficientNet-B3 (pretrained on ImageNet)
- **Task**: Multi-task learning (Age Regression + Gender Classification)
- **Input Size**: 256x256
### Training Configuration
- **Batch Size**: 16
- **Learning Rate**: 0.0... | 28 | 0 | [
"size_categories:n<1K",
"format:json",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"region:us"
] | 2025-11-09T16:54:27+00:00 | 2025-11-11T03:15:09+00:00 | 0 |
David0219/TeleEgo | <div align="center">
<h1>
TeleEgo: <br>
Benchmarking Egocentric AI Assistants in the Wild
</h1>
<!-- 项目徽章 -->
<p>
<a href="https://arxiv.org/abs/2510.23981">
<img alt="arXiv" src="https://img.shields.io/badge/ArXiv-2510.23981-b31b1b.svg">
</a>
<a href="https://programmergg.github.io/... | <div align="center">
<h1>
TeleEgo: <br>
Benchmarking Egocentric AI Assistants in the Wild
</h1>
<!-- 项目徽章 -->
<p>
<a href="https://arxiv.org/abs/2510.23981">
<img alt="arXiv" src="https://img.shields.io/badge/ArXiv-2510.23981-b31b1b.svg">
</a>
<a href="https://programmergg.github.io/... | 224 | 1 | [
"license:mit",
"arxiv:2510.23981",
"arxiv:2503.03803",
"arxiv:2508.09736",
"arxiv:2411.04998",
"region:us"
] | 2025-10-26T04:30:38+00:00 | 2025-11-11T03:07:59+00:00 | 0 |
CaiZhiTech/DeepKnown-High-Risk-zh-20251105 |
## Citation
```
@misc{li2025deepknownguardproprietarymodelbasedsafety,
title={DeepKnown-Guard: A Proprietary Model-Based Safety Response Framework for AI Agents},
author={Qi Li and Jianjun Xu and Pingtao Wei and Jiu Li and Peiqiang Zhao and Jiwei Shi and Xuan Zhang and Yanhui Yang and Xiaodong Hui and P... |
## Citation
```
@misc{li2025deepknownguardproprietarymodelbasedsafety,
title={DeepKnown-Guard: A Proprietary Model-Based Safety Response Framework for AI Agents},
author={Qi Li and Jianjun Xu and Pingtao Wei and Jiu Li and Peiqiang Zhao and Jiwei Shi and Xuan Zhang and Yanhui Yang and Xiaodong Hui and P... | 10 | 0 | [
"task_categories:text-classification",
"task_categories:table-question-answering",
"task_categories:text-generation",
"language:zh",
"license:apache-2.0",
"size_categories:n<1K",
"format:text",
"modality:text",
"library:datasets",
"library:mlcroissant",
"arxiv:2511.03138",
"region:us"
] | 2025-11-06T08:50:03+00:00 | 2025-11-11T03:06:07+00:00 | 0 |
qownscks/banana_top_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_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",
... | 39 | 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"
] | 2025-11-11T03:07:26+00:00 | 2025-11-11T03:07:44+00:00 | 0 |
CIJason/my_dataset_20251111 |
# Dataset Card for my_dataset_20251111
This dataset has been created with [Argilla](https://github.com/argilla-io/argilla). As shown in the sections below, this dataset can be loaded into your Argilla server as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in... |
# Dataset Card for my_dataset_20251111
This dataset has been created with [Argilla](https://github.com/argilla-io/argilla). As shown in the sections below, this dataset can be loaded into your Argilla server as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in... | 4 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"library:argilla",
"region:us",
"rlfh",
"argilla",
"human-feedback"
] | 2025-11-11T03:05:40+00:00 | 2025-11-11T03:05:41+00:00 | 0 |
S2NO/Forward |
# Forward Models
## Overview
The Strong Scattering Neural Operator (S2NO) is a neural operator specifically designed for solving highly oscillatory partial differential equations (PDEs) over large computational domains. Using neural operators as surrogate models in full waveform inversion (FWI) enables accurate and e... |
# Forward Models
## Overview
The Strong Scattering Neural Operator (S2NO) is a neural operator specifically designed for solving highly oscillatory partial differential equations (PDEs) over large computational domains. Using neural operators as surrogate models in full waveform inversion (FWI) enables accurate and e... | 46 | 0 | [
"license:cc-by-4.0",
"arxiv:2508.12226",
"region:us"
] | 2025-11-10T13:16:58+00:00 | 2025-11-11T02:59:41+00:00 | 0 |
pmannam/eval_act_nature_bowl_50_20reps_11_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",
... | 38 | 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",
"tutorial"
] | 2025-11-11T03:01:54+00:00 | 2025-11-11T03:02:16+00:00 | 0 |
bhismaperkasa/chat_seru |
# Multi-Turn Chat Conversation Dataset
## Dataset Description
Dataset ini berisi percakapan multi-turn dalam Bahasa Indonesia yang dapat digunakan untuk fine-tuning model chat/conversational AI.
### Dataset Structure
Setiap baris dalam dataset berisi satu percakapan lengkap dengan format:
```python
{
... |
# Multi-Turn Chat Conversation Dataset
## Dataset Description
Dataset ini berisi percakapan multi-turn dalam Bahasa Indonesia yang dapat digunakan untuk fine-tuning model chat/conversational AI.
### Dataset Structure
Setiap baris dalam dataset berisi satu percakapan lengkap dengan format:
```python
{
... | 11 | 0 | [
"language:id",
"license:mit",
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"multi-turn",
"chat",
"conversation",
"indonesian"
] | 2025-11-11T02:43:02+00:00 | 2025-11-11T02:48:58+00:00 | 0 |
jasonmeaux/so101_teleop_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_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",
... | 23 | 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"
] | 2025-11-11T02:47:49+00:00 | 2025-11-11T02:48:44+00:00 | 0 |
chakra-labs/dojo-bench-mini |
# Dojo-Bench-Mini
Dojo-Bench-Mini is a small public bench containing tasks for running computer use agents against "mocked" productivity software and games. These include:
- Linear
- LinkedIn... |
# Dojo-Bench-Mini
Dojo-Bench-Mini is a small public bench containing tasks for running computer use agents against "mocked" productivity software and games. These include:
- Linear
- LinkedIn... | 1,310 | 0 | [
"task_categories:other",
"language:en",
"size_categories:n<1K",
"format:json",
"modality:tabular",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"region:us",
"computer-use",
"ui-testing"
] | 2025-10-13T22:57:02+00:00 | 2025-11-11T02:43:41+00:00 | 0 |
TheFactoryX/edition_0294_argilla-databricks-dolly-15k-curated-en-readymade |
# edition_0294_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_0294_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... | 4 | 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"
] | 2025-11-11T02:41:39+00:00 | 2025-11-11T02:41:40+00:00 | 0 |
1g0rrr/release4_i_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",
... | 76 | 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"
] | 2025-11-11T02:38:21+00:00 | 2025-11-11T02:39:11+00:00 | 0 |
LittleFire99/bimanual-smooth-clothes-so101-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_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",
... | 41 | 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"
] | 2025-11-11T02:04:32+00:00 | 2025-11-11T02:35:47+00:00 | 0 |
phospho-app/ball20251110a_bboxes |
# ball20251110a
**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... |
# ball20251110a
**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... | 4 | 0 | [
"task_categories:robotics",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"phosphobot",
"so100",
"phospho-dk"
] | 2025-11-11T02:34:49+00:00 | 2025-11-11T02:35:17+00:00 | 0 |
AL-GR/AL-GR |
# AL-GR: A Large-scale Generative Recommendation Dataset
<!-- Paper: [FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets](https://huggingface.co/papers/2509.20904)\
Code: [https://github.com/selous123/al_sid](https://github.com/selous123/al_sid)\
Project Page: [https://huggingface.co/... |
# AL-GR: A Large-scale Generative Recommendation Dataset
<!-- Paper: [FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets](https://huggingface.co/papers/2509.20904)\
Code: [https://github.com/selous123/al_sid](https://github.com/selous123/al_sid)\
Project Page: [https://huggingface.co/... | 687 | 2 | [
"task_categories:text-generation",
"task_categories:text-retrieval",
"task_categories:feature-extraction",
"task_categories:image-feature-extraction",
"language:en",
"language:zh",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:csv",
"modality:text",
"library:datasets",
"library:d... | 2025-09-09T05:14:56+00:00 | 2025-11-11T02:31:17+00:00 | 0 |
mdmolone/ball20251110a |
# ball20251110a
**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... |
# ball20251110a
**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... | 18 | 0 | [
"task_categories:robotics",
"size_categories:n<1K",
"modality:video",
"library:datasets",
"library:mlcroissant",
"region:us",
"phosphobot",
"so100",
"phospho-dk"
] | 2025-11-11T02:18:10+00:00 | 2025-11-11T02:29:35+00:00 | 0 |
jasontchan/pick-place-three-blocks-full |
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",
... | 24 | 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",
"rlds"
] | 2025-11-11T02:28:26+00:00 | 2025-11-11T02:30:11+00:00 | 0 |
cijerezg/eval_pickplace-single-task-v50.08 |
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": "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",
... | 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:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T02:08:02+00:00 | 2025-11-11T02:08:13+00:00 | 0 |
cijerezg/eval_pickplace-single-task-v50.05 |
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": "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",
... | 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:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T01:59:34+00:00 | 2025-11-11T01:59:40+00:00 | 0 |
HumbleHumbert/record-test10 |
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",
... | 26 | 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"
] | 2025-11-11T01:50:58+00:00 | 2025-11-11T01:52:50+00:00 | 0 |
cijerezg/eval_pickplace-single-task-v50.03 |
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": "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",
... | 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:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T01:53:36+00:00 | 2025-11-11T01:53:43+00:00 | 0 |
lishiqianhugh/GSCollision |
# GSCollision dataset
## Data structure
The data is organized as:
```
GSCollision/ # Root folder of the dataset
│── objects/ # Individual object Gaussian splats (PLY files)
│ ├── bear/ # Gaussian splats of "bear" object
│ ├── can/ # Gaussian splats of "can" object
│ └── socc... |
# GSCollision dataset
## Data structure
The data is organized as:
```
GSCollision/ # Root folder of the dataset
│── objects/ # Individual object Gaussian splats (PLY files)
│ ├── bear/ # Gaussian splats of "bear" object
│ ├── can/ # Gaussian splats of "can" object
│ └── socc... | 17,779 | 0 | [
"license:cc-by-nc-sa-4.0",
"modality:video",
"region:us"
] | 2025-10-17T06:10:40+00:00 | 2025-11-11T01:50:36+00:00 | 0 |
UBC-NLP/EgyHellaSwag |
# Dataset Card for EgyHellaSwag
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Dataset Creation](#dataset-creation)
- [Curat... |
# Dataset Card for EgyHellaSwag
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Dataset Creation](#dataset-creation)
- [Curat... | 35 | 1 | [
"language:arz",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-05-24T04:04:29+00:00 | 2025-11-11T01:49:54+00:00 | 0 |
SakanaAI/Sudoku-CTC-Reasoning | <h1 align="center">
<b>Sudoku-Bench</b><br>
</h1>
<p align="center">
📝 <a href="https://pub.sakana.ai/sudoku">[Leaderboard]</a>
📝 <a href="https://arxiv.org/abs/2505.16135">[Technical Report]</a>
📝 <a href="https://sakana.ai/sudoku-bench">[Blog Post]</a><br>
🤗 <a href="https://huggingface.co/datasets/S... | <h1 align="center">
<b>Sudoku-Bench</b><br>
</h1>
<p align="center">
📝 <a href="https://pub.sakana.ai/sudoku">[Leaderboard]</a>
📝 <a href="https://arxiv.org/abs/2505.16135">[Technical Report]</a>
📝 <a href="https://sakana.ai/sudoku-bench">[Blog Post]</a><br>
🤗 <a href="https://huggingface.co/datasets/S... | 566 | 5 | [
"license:mit",
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"arxiv:2505.16135",
"region:us"
] | 2025-03-21T00:35:26+00:00 | 2025-11-11T01:44:47+00:00 | 0 |
qforge/Tool-w-Output |
# Tool Definitions with Output Schemas
This dataset contains **13,454 tool definitions** with comprehensive JSON schema definitions for both their input parameters and output structures.
Each tool has been augmented with structured output schemas to enable more robust tool-learning applications.
## Dataset S... |
# Tool Definitions with Output Schemas
This dataset contains **13,454 tool definitions** with comprehensive JSON schema definitions for both their input parameters and output structures.
Each tool has been augmented with structured output schemas to enable more robust tool-learning applications.
## Dataset S... | 28 | 1 | [
"task_categories:text-generation",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2409.00920",
"region:us"
] | 2025-11-11T00:22:58+00:00 | 2025-11-11T01:42:03+00:00 | 1 |
cijerezg/eval_pickplace-single-task-v50.02 |
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": "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",
... | 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:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T01:41:13+00:00 | 2025-11-11T01:41:21+00:00 | 0 |
SakanaAI/Sudoku-Bench | <h1 align="center">
<b>Sudoku-Bench</b><br>
</h1>
<p align="center">
📝 <a href="https://pub.sakana.ai/sudoku">[Leaderboard]</a>
📝 <a href="https://arxiv.org/abs/2505.16135">[Technical Report]</a>
📝 <a href="https://sakana.ai/sudoku-bench">[Blog Post]</a><br>
🤗 <a href="https://huggingface.co/datasets/S... | <h1 align="center">
<b>Sudoku-Bench</b><br>
</h1>
<p align="center">
📝 <a href="https://pub.sakana.ai/sudoku">[Leaderboard]</a>
📝 <a href="https://arxiv.org/abs/2505.16135">[Technical Report]</a>
📝 <a href="https://sakana.ai/sudoku-bench">[Blog Post]</a><br>
🤗 <a href="https://huggingface.co/datasets/S... | 549 | 7 | [
"license:mit",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2505.16135",
"region:us"
] | 2025-03-21T00:34:52+00:00 | 2025-11-11T01:43:49+00:00 | 0 |
UBC-NLP/EgyMMLU |
# Dataset Card for EgyMMLU
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#... |
# Dataset Card for EgyMMLU
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#... | 1,046 | 0 | [
"language:arz",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-05-24T04:14:16+00:00 | 2025-11-11T01:49:30+00:00 | 0 |
valxntim/DiarioOficial-Contratos-BR-GT |
# DiarioOficial-Contratos-BR-GT
Este dataset, `DiarioOficial-Contratos-BR-GT`, é um **Ground Truth** de alta confiabilidade para avaliação de sistemas de **Retrieval-Augmented Generation (RAG)** focados no domínio jurídico/administrativo em língua portuguesa.
O dataset foi desenvolvido como a principal contribuição ... |
# DiarioOficial-Contratos-BR-GT
Este dataset, `DiarioOficial-Contratos-BR-GT`, é um **Ground Truth** de alta confiabilidade para avaliação de sistemas de **Retrieval-Augmented Generation (RAG)** focados no domínio jurídico/administrativo em língua portuguesa.
O dataset foi desenvolvido como a principal contribuição ... | 82 | 1 | [
"task_categories:question-answering",
"task_categories:text-retrieval",
"language:pt",
"license:cc-by-4.0",
"size_categories:n<1K",
"modality:document",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us",
"nlp",
"portuguese",
"legal",
"judicial",
"administrative-doma... | 2025-11-10T22:22:10+00:00 | 2025-11-11T01:38:45+00:00 | 1 |
aromanus/openpi_PiPER_demo_train_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_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",
... | 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"
] | 2025-11-11T01:22:05+00:00 | 2025-11-11T01:22:15+00:00 | 0 |
aromanus/openpi_PiPER_demo_flipped_train_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_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",
... | 36 | 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"
] | 2025-11-11T01:19:54+00:00 | 2025-11-11T01:20:32+00:00 | 0 |
minhbinhle/minhbinhle | The Role of Timekeeping in Board Games: Why Precision Matters
## Time Management in Board Games
Board games are not just about strategy and luck; they also rely heavily on time management. From racing against the clock in games like Pandemic to carefully tracking turns in cooperative games, precise timekeeping can m... | The Role of Timekeeping in Board Games: Why Precision Matters
## Time Management in Board Games
Board games are not just about strategy and luck; they also rely heavily on time management. From racing against the clock in games like Pandemic to carefully tracking turns in cooperative games, precise timekeeping can m... | 7 | 0 | [
"region:us"
] | 2025-11-10T08:43:51+00:00 | 2025-11-11T01:21:17+00:00 | 0 |
alea-institute/kl3m-data-sample-004-shuffled |
# KL3M Data Sample 004 (Shuffled)
This dataset contains a shuffled sample of 10 million examples from the [KL3M Data Project](https://aleainstitute.ai/work/kl3m-data-project/), an initiative by the ALEA Institute providing copyright-clean training resources for large language models across legal, regulatory, and gove... |
# KL3M Data Sample 004 (Shuffled)
This dataset contains a shuffled sample of 10 million examples from the [KL3M Data Project](https://aleainstitute.ai/work/kl3m-data-project/), an initiative by the ALEA Institute providing copyright-clean training resources for large language models across legal, regulatory, and gove... | 61 | 0 | [
"size_categories:10M<n<100M",
"format:parquet",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-09T22:44:59+00:00 | 2025-11-11T01:04:13+00:00 | 0 |
singletongue/cc100-documents |
# cc100-documents
This dataset is a restructured version of the [CC-100](https://data.statmt.org/cc-100/) ([statmt/cc100](https://huggingface.co/datasets/statmt/cc100)) dataset.
In the original dataset, each instance corresponds to a single paragraph (or a document boundary).
In this version, the data has been refor... |
# cc100-documents
This dataset is a restructured version of the [CC-100](https://data.statmt.org/cc-100/) ([statmt/cc100](https://huggingface.co/datasets/statmt/cc100)) dataset.
In the original dataset, each instance corresponds to a single paragraph (or a document boundary).
In this version, the data has been refor... | 532 | 0 | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"multilinguality:multilingual",
"language:ar",
"language:de",
"language:en",
"language:es",
"language:fr",
"language:it",
"language:ja",
"language:ko",
"langua... | 2025-11-10T00:19:38+00:00 | 2025-11-11T00:45:51+00:00 | 0 |
hangVLA/red3 |
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",
... | 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:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T00:48:44+00:00 | 2025-11-11T00:49:03+00:00 | 0 |
TheFactoryX/edition_0293_cornell-movie-review-data-rotten_tomatoes-readymade |
# edition_0293_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_0293_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... | 4 | 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"
] | 2025-11-11T00:57:23+00:00 | 2025-11-11T00:57:25+00:00 | 0 |
ChristineYe8/ReplicationBench |
# ReplicationBench
**arXiv**: [ReplicationBench: Can AI Agents Replicate Astrophysics Research Papers?](https://arxiv.org/abs/2510.24591)
**GitHub**: [https://github.com/Christine8888/replicationbench-release](https://github.com/Christine8888/replicationbench-release)
## Dataset Description
The ReplicationBench dat... |
# ReplicationBench
**arXiv**: [ReplicationBench: Can AI Agents Replicate Astrophysics Research Papers?](https://arxiv.org/abs/2510.24591)
**GitHub**: [https://github.com/Christine8888/replicationbench-release](https://github.com/Christine8888/replicationbench-release)
## Dataset Description
The ReplicationBench dat... | 16 | 0 | [
"arxiv:2510.24591",
"region:us"
] | 2025-11-03T09:59:18+00:00 | 2025-11-11T00:56:54+00:00 | 0 |
jksmith/eval_policy_snickers_twizler |
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:n<1K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T00:41:18+00:00 | 2025-11-11T00:41:26+00:00 | 0 |
bluelightai-dev/dclm-full-deduped-sample | Around 5M documents uniformly sampled from [Zyphra/dclm-dedup](https://huggingface.co/datasets/Zyphra/dclm-dedup). | Around 5M documents uniformly sampled from [Zyphra/dclm-dedup](https://huggingface.co/datasets/Zyphra/dclm-dedup). | 29 | 0 | [
"size_categories:1M<n<10M",
"format:arrow",
"modality:tabular",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us"
] | 2025-11-10T23:43:19+00:00 | 2025-11-11T00:30:39+00:00 | 0 |
Hyungseoky/paper |
### LOGO -- Long cOntext aliGnment via efficient preference Optimization
> 이 논문에서 우리는 일반적으로 사용되는 LCM(Large Context Model)의 학습 방법이 모델의 생성 능력을 저하시킬 수 있으며, 환각(hallucination)이나 지시 무시(instruction unfollowing)와 같은 비정렬된 출력을 초래할 수 있음을 발견하였다. 이 문제를 완화하기 위해, 본 연구에서는 장거리 맥락 정렬(long-context alignment)을 위한 새로운 선호도 최적화 학습 전략인 **LOG... |
### LOGO -- Long cOntext aliGnment via efficient preference Optimization
> 이 논문에서 우리는 일반적으로 사용되는 LCM(Large Context Model)의 학습 방법이 모델의 생성 능력을 저하시킬 수 있으며, 환각(hallucination)이나 지시 무시(instruction unfollowing)와 같은 비정렬된 출력을 초래할 수 있음을 발견하였다. 이 문제를 완화하기 위해, 본 연구에서는 장거리 맥락 정렬(long-context alignment)을 위한 새로운 선호도 최적화 학습 전략인 **LOG... | 4 | 0 | [
"license:mit",
"region:us"
] | 2025-11-11T00:22:07+00:00 | 2025-11-11T00:27:50+00:00 | 0 |
thomas0829/bimanual-so101-stacking-blocks-v2 |
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",
... | 77 | 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"
] | 2025-11-10T22:53:58+00:00 | 2025-11-11T00:37:29+00:00 | 0 |
Path2AI/STARC-9 | Paper link is given here: <a href="https://openreview.net/forum?id=rGWjTlK6Ev" target="_blank" rel="noopener"> Openreview </a> or <a href="https://arxiv.org/abs/2511.00383" target="_blank" rel="noopener"> Arxiv </a>.
To learn more about dataset generation using DeepCluster++, see the detailed documentation [here](htt... | Paper link is given here: <a href="https://openreview.net/forum?id=rGWjTlK6Ev" target="_blank" rel="noopener"> Openreview </a> or <a href="https://arxiv.org/abs/2511.00383" target="_blank" rel="noopener"> Arxiv </a>.
To learn more about dataset generation using DeepCluster++, see the detailed documentation [here](htt... | 48 | 1 | [
"modality:image",
"arxiv:2511.00383",
"region:us"
] | 2025-05-15T06:38:57+00:00 | 2025-11-11T00:25:47+00:00 | 1 |
nyu-visionx/VSI-Bench |
<!-- <div align="center"> -->
| Dataset | arXiv | Website | Code |
| :------ | :---- | :------ | :--- |
| **VSI-Bench** | <a href="https://arxiv.org/abs/2412.14171" target="_blank"><img alt="arXiv" src="https://img.shields.io/badge/arXiv-thinking--in--space-red?logo=arxiv" height="20" /></a> | <a href="https://vision... |
<!-- <div align="center"> -->
| Dataset | arXiv | Website | Code |
| :------ | :---- | :------ | :--- |
| **VSI-Bench** | <a href="https://arxiv.org/abs/2412.14171" target="_blank"><img alt="arXiv" src="https://img.shields.io/badge/arXiv-thinking--in--space-red?logo=arxiv" height="20" /></a> | <a href="https://vision... | 9,045 | 54 | [
"task_categories:visual-question-answering",
"language:en",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"arxiv:2412.14171",
"arxiv:2511.04655",
"region:... | 2024-12-17T04:08:15+00:00 | 2025-11-11T00:09:48+00:00 | 2 |
Qipei/Task_data_scaling02_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",
... | 50 | 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"
] | 2025-11-11T00:12:50+00:00 | 2025-11-11T00:13:00+00:00 | 0 |
ankile/lift-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",
... | 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"
] | 2025-11-11T00:09:14+00:00 | 2025-11-11T00:09:18+00:00 | 0 |
Qipei/Task_data_scaling02_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",
... | 38 | 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"
] | 2025-11-10T23:59:04+00:00 | 2025-11-10T23:59:15+00:00 | 0 |
Qipei/Task_data_scaling02_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",
... | 45 | 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"
] | 2025-11-11T00:04:12+00:00 | 2025-11-11T00:04:23+00:00 | 0 |
Qipei/Task_data_scaling02_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",
... | 46 | 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"
] | 2025-11-11T00:08:29+00:00 | 2025-11-11T00:08:43+00:00 | 0 |
Kkuntal990/bnci-raw |
# EEG Dataset
This dataset was created using [braindecode](https://braindecode.org), a library for deep learning with EEG/MEG/ECoG signals.
## Dataset Information
- **Number of recordings**: 1
- **Number of channels**: 26
- **Sampling frequency**: 250.0 Hz
- **Data type**: Continuous (Raw)
- **Number of windows**: ... |
# EEG Dataset
This dataset was created using [braindecode](https://braindecode.org), a library for deep learning with EEG/MEG/ECoG signals.
## Dataset Information
- **Number of recordings**: 1
- **Number of channels**: 26
- **Sampling frequency**: 250.0 Hz
- **Data type**: Continuous (Raw)
- **Number of windows**: ... | 24 | 0 | [
"license:unknown",
"size_categories:n<1K",
"format:json",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"braindecode",
"eeg",
"neuroscience",
"brain-computer-interface"
] | 2025-11-07T04:37:52+00:00 | 2025-11-10T23:54:21+00:00 | 0 |
Kkuntal990/bnci-eegwindows |
# EEG Dataset
This dataset was created using [braindecode](https://braindecode.org), a library for deep learning with EEG/MEG/ECoG signals.
## Dataset Information
- **Number of recordings**: 1
- **Number of channels**: 26
- **Sampling frequency**: 250.0 Hz
- **Data type**: Windowed (from Raw object)
- **Number of w... |
# EEG Dataset
This dataset was created using [braindecode](https://braindecode.org), a library for deep learning with EEG/MEG/ECoG signals.
## Dataset Information
- **Number of recordings**: 1
- **Number of channels**: 26
- **Sampling frequency**: 250.0 Hz
- **Data type**: Windowed (from Raw object)
- **Number of w... | 24 | 0 | [
"license:unknown",
"size_categories:n<1K",
"format:json",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"braindecode",
"eeg",
"neuroscience",
"brain-computer-interface"
] | 2025-11-07T04:37:38+00:00 | 2025-11-10T23:54:19+00:00 | 0 |
FraunhoferIPK/IndEgo |
<div align="center">
# IndEgo: A Dataset of Industrial Scenarios and Collaborative Work for Egocentric Assistants
**[Vivek Chavan](https://vivekchavan.com/)¹²\*, [Yasmina Imgrund](https://www.linkedin.com/in/yasmina-imgrund/)²†, [Tung Dao](https://www.linkedin.com/in/lam-dao-tung/)²†, [Sanwantri Bai](https://www.lin... |
<div align="center">
# IndEgo: A Dataset of Industrial Scenarios and Collaborative Work for Egocentric Assistants
**[Vivek Chavan](https://vivekchavan.com/)¹²\*, [Yasmina Imgrund](https://www.linkedin.com/in/yasmina-imgrund/)²†, [Tung Dao](https://www.linkedin.com/in/lam-dao-tung/)²†, [Sanwantri Bai](https://www.lin... | 4,715 | 3 | [
"task_categories:visual-question-answering",
"task_categories:summarization",
"task_categories:video-classification",
"task_categories:any-to-any",
"language:en",
"language:de",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"region:us",
"industrial",
"egocentric",
"procedural",
"collabo... | 2025-05-10T23:02:20+00:00 | 2025-11-10T23:53:25+00:00 | 0 |
Qipei/Task_data_scaling02_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",
... | 40 | 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"
] | 2025-11-10T23:51:53+00:00 | 2025-11-10T23:52:05+00:00 | 0 |
shubhamugare/infer-pulse-eval |
# Infer Pulse Static Analysis Evaluation Dataset
## Dataset Description
This dataset contains **523 C functions** extracted from Meta's [Infer](https://fbinfer.com/) static analyzer test suite, specifically the Pulse analyzer tests. It's designed for **evaluating** Large Language Models (LLMs) on static analysis tas... |
# Infer Pulse Static Analysis Evaluation Dataset
## Dataset Description
This dataset contains **523 C functions** extracted from Meta's [Infer](https://fbinfer.com/) static analyzer test suite, specifically the Pulse analyzer tests. It's designed for **evaluating** Large Language Models (LLMs) on static analysis tas... | 46 | 1 | [
"task_categories:text-classification",
"task_categories:text-generation",
"language:en",
"license:mit",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"code",
"stat... | 2025-11-09T14:00:49+00:00 | 2025-11-10T23:46:07+00:00 | 1 |
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