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 |
|---|---|---|---|---|---|---|---|---|
qforge/AsyncTool |
**Disclaimer:** This dataset was created using https://usetorque.dev/.
## AsyncTool dataset
**AsyncTool** is a protocol for building AI agents that keep chatting while tools work in the background. This repository turns that protocol into a Hugging Face dataset packed with synthetic, mu... |
**Disclaimer:** This dataset was created using https://usetorque.dev/.
## AsyncTool dataset
**AsyncTool** is a protocol for building AI agents that keep chatting while tools work in the background. This repository turns that protocol into a Hugging Face dataset packed with synthetic, mu... | 884 | 2 | [
"task_categories:text-generation",
"license:apache-2.0",
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-10-10T19:44:30+00:00 | 2025-11-11T20:31:34+00:00 | 2 |
Qipei/Task_data_scaling03_01 |
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",
... | 14 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot",
"tutorial"
] | 2025-11-11T20:24:06+00:00 | 2025-11-11T20:24:13+00:00 | 0 |
JustBubbles/so100_test_dataset1 |
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",
... | 10 | 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"
] | 2025-11-11T20:16:02+00:00 | 2025-11-11T20:20:25+00:00 | 0 |
darkB/wimbledon-2025-qa-dataset | # Quantum Computing QA Dataset
Question-Answer dataset for wimbledon-2025
## Dataset Description
- **Size**: 29 total examples
- **Splits**: {
"train": 23,
"validation": 3,
"test": 3
}
- **Features**: question-answer pairs about quantum computing concepts
- **Source**: Wikipedia articles
## Usage
```python
f... | # Quantum Computing QA Dataset
Question-Answer dataset for wimbledon-2025
## Dataset Description
- **Size**: 29 total examples
- **Splits**: {
"train": 23,
"validation": 3,
"test": 3
}
- **Features**: question-answer pairs about quantum computing concepts
- **Source**: Wikipedia articles
## Usage
```python
f... | 34 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-07-15T17:30:44+00:00 | 2025-11-11T20:15:22+00:00 | 0 |
JustBubbles/so100_test_dataset2 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 16 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:image",
"modality:timeseries",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T19:57:05+00:00 | 2025-11-11T20:01:20+00:00 | 0 |
mlfoundations/Click-100k |
# 🖱️ Click-100k Dataset
[🍨 **Blog Post / Codebase**](https://github.com/mlfoundations/gelato)
**Click-100k** is a high-quality grounding dataset used to train [🍨 Gelato-30B-A3B](https://huggingface.co/mlfoundations/Gelato-30B-A3B) a state-of-the-art grounding model for GUI computer-use tasks. The dataset pairs co... |
# 🖱️ Click-100k Dataset
[🍨 **Blog Post / Codebase**](https://github.com/mlfoundations/gelato)
**Click-100k** is a high-quality grounding dataset used to train [🍨 Gelato-30B-A3B](https://huggingface.co/mlfoundations/Gelato-30B-A3B) a state-of-the-art grounding model for GUI computer-use tasks. The dataset pairs co... | 186 | 6 | [
"size_categories:100K<n<1M",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"arxiv:2411.17465",
"arxiv:2502.01977",
"arxiv:2504.07981",
"arxiv:2505.13227",
"arxiv:2505.13909",
"arxiv:2410.23218",
"arxiv:24... | 2025-10-27T14:50:55+00:00 | 2025-11-11T19:57:25+00:00 | 6 |
Qipei/Task_data_scaling02_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",
... | 11 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot",
"tutorial"
] | 2025-11-11T19:54:10+00:00 | 2025-11-11T19:54:21+00:00 | 0 |
ankile/lift-dagger-state-datav5-v1 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 11 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T19:52:38+00:00 | 2025-11-11T19:52:42+00:00 | 0 |
Qipei/Task_data_scaling02_09 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 13 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot",
"tutorial"
] | 2025-11-11T19:49:16+00:00 | 2025-11-11T19:49:26+00:00 | 0 |
gnovoa26/affordable-housing-conversations-classified |
# Generated Responses Dataset
This dataset contains generated responses for prompts from [gnovoa26/affordable-housing-conversations](https://huggingface.co/datasets/gnovoa26/affordable-housing-conversations).
## Generation Details
- **Source Dataset**: [gnovoa26/affordable-housing-conversations](https://huggingface... |
# Generated Responses Dataset
This dataset contains generated responses for prompts from [gnovoa26/affordable-housing-conversations](https://huggingface.co/datasets/gnovoa26/affordable-housing-conversations).
## Generation Details
- **Source Dataset**: [gnovoa26/affordable-housing-conversations](https://huggingface... | 55 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"generated",
"vllm",
"uv-script"
] | 2025-10-15T16:28:42+00:00 | 2025-11-11T19:45:22+00:00 | 0 |
Qipei/Task_data_scaling02_08 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 10 | 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"
] | 2025-11-11T19:44:49+00:00 | 2025-11-11T19:45:01+00:00 | 0 |
Qipei/Task_data_scaling02_07 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 17 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot",
"tutorial"
] | 2025-11-11T19:40:17+00:00 | 2025-11-11T19:40:30+00:00 | 0 |
HenryZhang/so101_follower_dataset1762889932.5811837 |
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",
... | 9 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T19:42:19+00:00 | 2025-11-11T19:42:22+00:00 | 0 |
kesimeg/MMStar_tr | # MMStar TR
This dataset is translation of [Lin-Chen/MMStar](https://huggingface.co/datasets/Lin-Chen/MMStar) dataset. The dataset was translated using DeepL. Each sample has been manually checked and fixed.
Some questions were altered to make them understandble and answerable. Some of the alterations in the question... | # MMStar TR
This dataset is translation of [Lin-Chen/MMStar](https://huggingface.co/datasets/Lin-Chen/MMStar) dataset. The dataset was translated using DeepL. Each sample has been manually checked and fixed.
Some questions were altered to make them understandble and answerable. Some of the alterations in the question... | 74 | 1 | [
"task_categories:image-to-text",
"task_categories:visual-question-answering",
"language:tr",
"size_categories:1K<n<10K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-10-21T18:45:53+00:00 | 2025-11-11T19:37:15+00:00 | 0 |
anthnykr/merged-test-5 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"t... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"t... | 28 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T19:33:56+00:00 | 2025-11-11T19:34:00+00:00 | 0 |
Parchnipp/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",
... | 50 | 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"
] | 2025-11-04T19:15:35+00:00 | 2025-11-11T19:29:19+00:00 | 0 |
oxe-aug/language_table_train_140000_145000_augmented | # language_table_train_140000_145000_augmented
## Overview
- **Codebase version**: `v2.1`
- **Robots**: google_robot, images, jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e
- **FPS**: 10
- **Episodes**: 5,000
- **Frames**: 80,121
- **Videos**: 40,000
- **Chunks**: 5
- **Splits**:
- `train`: `0:5000`
## Data Layout
... | # language_table_train_140000_145000_augmented
## Overview
- **Codebase version**: `v2.1`
- **Robots**: google_robot, images, jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e
- **FPS**: 10
- **Episodes**: 5,000
- **Frames**: 80,121
- **Videos**: 40,000
- **Chunks**: 5
- **Splits**:
- `train`: `0:5000`
## Data Layout
... | 512 | 0 | [
"task_categories:robotics",
"license:cc-by-4.0",
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"format:parquet",
"modality:tabular",
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"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"arxiv:2210.06407",
"region:us",
"robotics",
"lerobot... | 2025-11-11T14:56:15+00:00 | 2025-11-11T19:29:58+00:00 | 0 |
DerivedFunction/Derivatives-Finance-100K |
A subset of https://huggingface.co/datasets/Josephgflowers/Finance-Instruct-500k and https://huggingface.co/datasets/Jackrong/financial-economics-reasoning, along with additional q&a focused on derivatives and hedging |
A subset of https://huggingface.co/datasets/Josephgflowers/Finance-Instruct-500k and https://huggingface.co/datasets/Jackrong/financial-economics-reasoning, along with additional q&a focused on derivatives and hedging | 19 | 0 | [
"task_categories:text-generation",
"language:en",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"finance"
] | 2025-11-11T17:29:35+00:00 | 2025-11-11T19:33:14+00:00 | 0 |
miyen/place_cup_three_options |
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",
... | 13 | 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",
"custom",
"panda",
"hdf5"
] | 2025-11-11T19:23:32+00:00 | 2025-11-11T19:26:30+00:00 | 0 |
TheFactoryX/edition_0319_open-thoughts-OpenThoughts-114k-readymade |
# edition_0319_open-thoughts-OpenThoughts-114k-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[open-thoughts/OpenThoughts-114k](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects an... |
# edition_0319_open-thoughts-OpenThoughts-114k-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[open-thoughts/OpenThoughts-114k](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects an... | 1 | 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"
] | 2025-11-11T19:25:36+00:00 | 2025-11-11T19:25:38+00:00 | 0 |
JPQ24/Symbolic_dataset | Read the explanation file for details. | Read the explanation file for details. | 9 | 0 | [
"license:cc-by-sa-4.0",
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"format:csv",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T18:23:43+00:00 | 2025-11-11T19:06:02+00:00 | 0 |
Mattimax/DAC-Reasoning-ITA |
## Descrizione del dataset
Questo dataset è stato **generato sinteticamente** da Mattia (“Mattimax”) per l’azienda M.INC.
Serve per lo sviluppo e la valutazione di modelli in grado di **ragionare in italiano** e fornire risposte strutturate con tracciamento del ragionamento.
I dati **non sono garantiti accurati*... |
## Descrizione del dataset
Questo dataset è stato **generato sinteticamente** da Mattia (“Mattimax”) per l’azienda M.INC.
Serve per lo sviluppo e la valutazione di modelli in grado di **ragionare in italiano** e fornire risposte strutturate con tracciamento del ragionamento.
I dati **non sono garantiti accurati*... | 5 | 0 | [
"task_categories:text-generation",
"task_categories:question-answering",
"language:it",
"license:mit",
"size_categories:10K<n<100K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"DAC",
"DATA-AI",
"M.INC.",
"... | 2025-11-11T19:02:12+00:00 | 2025-11-11T19:07:48+00:00 | 0 |
harpreetsahota/visual_ai_at_neurips2025_nomic |
# Dataset Card for Voxel51/visual_ai_at_neurips2025
<!-- Provide a quick summary of the dataset. -->
This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 1134 samples.
## Installation
If you haven't already, install FiftyOne:
```bash
pip install -U fiftyone
```
## Usage
```python
import fi... |
# Dataset Card for Voxel51/visual_ai_at_neurips2025
<!-- Provide a quick summary of the dataset. -->
This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 1134 samples.
## Installation
If you haven't already, install FiftyOne:
```bash
pip install -U fiftyone
```
## Usage
```python
import fi... | 42 | 0 | [
"task_categories:image-classification",
"language:en",
"size_categories:n<1K",
"format:json",
"modality:image",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:fiftyone",
"region:us",
"fiftyone",
"image",
"image-classification"
] | 2025-11-11T19:02:45+00:00 | 2025-11-11T19:03:31+00:00 | 0 |
tonyassi/vogue933k-embedding | # Vogue Runway Image-Embedding Corpus
Dataset of [Vogue Runway](https://www.vogue.com/fashion-shows) images and embeddings.
| Metric | Value |
|--------|-------|
| **Designers** | 1 749 |
| **Collections** | 25 876 |
| **Images / Looks** | 933 328 |
| **Years covered** | 1990 → 2025 |
| **Embedding model** | `google/... | # Vogue Runway Image-Embedding Corpus
Dataset of [Vogue Runway](https://www.vogue.com/fashion-shows) images and embeddings.
| Metric | Value |
|--------|-------|
| **Designers** | 1 749 |
| **Collections** | 25 876 |
| **Images / Looks** | 933 328 |
| **Years covered** | 1990 → 2025 |
| **Embedding model** | `google/... | 16 | 1 | [
"size_categories:100K<n<1M",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T18:41:00+00:00 | 2025-11-11T18:56:43+00:00 | 1 |
HuggingFaceFW/finepdfs-edu |
# 📚 FinePDFs-Edu
> 350B+ of highly educational tokens from PDFs 📄
## What is it?
📚 FinePDFs-Edu dataset consists of **350B+ tokens** of educational PDFs filtered from 📄 [FinePDFs](https://hugg... |
# 📚 FinePDFs-Edu
> 350B+ of highly educational tokens from PDFs 📄
## What is it?
📚 FinePDFs-Edu dataset consists of **350B+ tokens** of educational PDFs filtered from 📄 [FinePDFs](https://hugg... | 73 | 15 | [
"task_categories:text-generation",
"language:en",
"language:de",
"language:ja",
"language:fr",
"language:es",
"language:it",
"language:ru",
"language:pt",
"language:pl",
"language:nl",
"language:cs",
"language:zh",
"language:ro",
"language:sv",
"language:hu",
"language:sk",
"langua... | 2025-11-11T09:36:02+00:00 | 2025-11-11T18:49:02+00:00 | 15 |
HuggingFaceFW/finepdfs | 
> Liberating 3T of the finest tokens from PDFs
## What is this?
As we run out of web pages to process, the natural question has always been: what to do next? Only a few knew about a data source that e... | 
> Liberating 3T of the finest tokens from PDFs
## What is this?
As we run out of web pages to process, the natural question has always been: what to do next? Only a few knew about a data source that e... | 55,326 | 659 | [
"task_categories:text-generation",
"language:aai",
"language:aak",
"language:aau",
"language:aaz",
"language:aba",
"language:abi",
"language:abk",
"language:abn",
"language:abq",
"language:abs",
"language:abt",
"language:abx",
"language:aby",
"language:abz",
"language:aca",
"language... | 2025-09-05T20:08:33+00:00 | 2025-11-11T18:49:22+00:00 | 10 |
TheFactoryX/edition_0318_lavita-medical-qa-shared-task-v1-toy-readymade |
# edition_0318_lavita-medical-qa-shared-task-v1-toy-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[lavita/medical-qa-shared-task-v1-toy](https://huggingface.co/datasets/lavita/medical-qa-shared-task-v1-toy)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking ever... |
# edition_0318_lavita-medical-qa-shared-task-v1-toy-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[lavita/medical-qa-shared-task-v1-toy](https://huggingface.co/datasets/lavita/medical-qa-shared-task-v1-toy)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking ever... | 2 | 0 | [
"license:other",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"readymades",
"art",
"shuffled",
"duchamp"
] | 2025-11-11T18:47:57+00:00 | 2025-11-11T18:47:59+00:00 | 0 |
Omrynadiv/shark_attacks_cleaned | # === Shark Attacks EDA – Visual Display Only ===
# Run in Colab or HuggingFace Notebook
# Make sure you have cleaned_shark_attacks.csv in the same folder.
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# --- Load ---
df = pd.read_csv("cleaned_shark_attacks.csv")
# --- Clean basics ---
# Conv... | # === Shark Attacks EDA – Visual Display Only ===
# Run in Colab or HuggingFace Notebook
# Make sure you have cleaned_shark_attacks.csv in the same folder.
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# --- Load ---
df = pd.read_csv("cleaned_shark_attacks.csv")
# --- Clean basics ---
# Conv... | 15 | 0 | [
"region:us"
] | 2025-11-10T17:13:46+00:00 | 2025-11-11T18:40:50+00:00 | 0 |
parkmoll/genetic-variants-qa | * `question_types.json`: prompt template + rubrics for each question type
* `rare_variants_qa.json`: specific questions, with each example defined by a question type, specific gene variant, and instance-level rubrics. | * `question_types.json`: prompt template + rubrics for each question type
* `rare_variants_qa.json`: specific questions, with each example defined by a question type, specific gene variant, and instance-level rubrics. | 16 | 0 | [
"region:us"
] | 2025-11-04T19:47:09+00:00 | 2025-11-11T18:40:59+00:00 | 0 |
pjramg/moth_biotrove |
# Dataset Card for moth_biotrove
<!-- Provide a quick summary of the dataset. -->
This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 1000 samples.
## Installation
If you haven't already, install FiftyOne:
```bash
pip install -U fiftyone
```
## Usage
```python
import fiftyone as fo
from f... |
# Dataset Card for moth_biotrove
<!-- Provide a quick summary of the dataset. -->
This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 1000 samples.
## Installation
If you haven't already, install FiftyOne:
```bash
pip install -U fiftyone
```
## Usage
```python
import fiftyone as fo
from f... | 78 | 0 | [
"task_categories:image-classification",
"language:en",
"size_categories:1K<n<10K",
"format:imagefolder",
"modality:image",
"library:datasets",
"library:mlcroissant",
"library:fiftyone",
"region:us",
"agtech",
"fiftyone",
"image",
"image-classification"
] | 2025-11-11T18:28:07+00:00 | 2025-11-11T18:28:30+00:00 | 0 |
GleghornLab/localization_prediction |
From here:
https://huggingface.co/datasets/biomap-research/localization_prediction
Please cite their work |
From here:
https://huggingface.co/datasets/biomap-research/localization_prediction
Please cite their work | 12 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2024-08-11T01:13:42+00:00 | 2025-11-11T18:24:52+00:00 | 0 |
TTimur/kyrgyzMMLU |
# KyrgyzMMLU
**KyrgyzMMLU** is a native, multiple-choice benchmark for evaluating Large Language Models in the Kyrgyz language. It contains **7,977 questions** written by Kyrgyz curriculum experts, covering 9 subjects relevant to the national curriculum and public knowledge.
## 🏔️ Part of the KyrgyzLLM-Bench
This ... |
# KyrgyzMMLU
**KyrgyzMMLU** is a native, multiple-choice benchmark for evaluating Large Language Models in the Kyrgyz language. It contains **7,977 questions** written by Kyrgyz curriculum experts, covering 9 subjects relevant to the national curriculum and public knowledge.
## 🏔️ Part of the KyrgyzLLM-Bench
This ... | 49 | 0 | [
"language:ky",
"region:us",
"kyrgyz",
"llm-benchmark",
"evaluation",
"mmlu",
"multiple-choice",
"kyrgyzllm-bench"
] | 2025-07-23T05:54:47+00:00 | 2025-11-11T18:22:43+00:00 | 0 |
vo2yager/demonstrations |
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": "v2.0",
... |
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": "v2.0",
... | 6 | 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"
] | 2025-11-11T18:16:57+00:00 | 2025-11-11T18:17:15+00:00 | 0 |
PianoVAM/PianoVAM_v1.0 |
# PianoVAM: A Multimodal Piano Performance Dataset
<span style="color: red;">NOV 11; We found that the Video <-> (Audio, MIDI) Sync for the Sep 04-05 files was unstable. We discovered during the data collection process that the existing method was not being applied correctly. We plan to resolve this issue within one ... |
# PianoVAM: A Multimodal Piano Performance Dataset
<span style="color: red;">NOV 11; We found that the Video <-> (Audio, MIDI) Sync for the Sep 04-05 files was unstable. We discovered during the data collection process that the existing method was not being applied correctly. We plan to resolve this issue within one ... | 232 | 1 | [
"annotations_creators:expert-generated",
"source_datasets:original",
"language:en",
"license:cc-by-nc-sa-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:audio",
"modality:text",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"regi... | 2025-09-08T00:39:24+00:00 | 2025-11-11T18:15:03+00:00 | 1 |
PleIAs/verse-wikisource | "Verse-Wikisource" is a collection of 200,000 verses extracted from 9,000 works digitized by the Wikisource project.
Verses have been selected through the following process:
* All works categorized as poem (or as sub-categories of poem), using petscan.
* Only the texts parts labelled as "poem" with Wikisource internal... | "Verse-Wikisource" is a collection of 200,000 verses extracted from 9,000 works digitized by the Wikisource project.
Verses have been selected through the following process:
* All works categorized as poem (or as sub-categories of poem), using petscan.
* Only the texts parts labelled as "poem" with Wikisource internal... | 28 | 1 | [
"region:us"
] | 2025-02-01T17:49:44+00:00 | 2025-11-11T18:12:38+00:00 | 0 |
rodrigoramosrs/dotnet | # ⚡ SolarCurated-TechnicalDocs-QnA
### _A Solar-Powered, Curated Dataset for Technical Reasoning and Instruction Tuning_ ☀️
---
## 📘 Overview
**SolarCurated-TechnicalDocs-QnA** is a large-scale, meticulously curated dataset containing **≈ 70,000 question–answer pairs**, extracted and refined from the official [... | # ⚡ SolarCurated-TechnicalDocs-QnA
### _A Solar-Powered, Curated Dataset for Technical Reasoning and Instruction Tuning_ ☀️
---
## 📘 Overview
**SolarCurated-TechnicalDocs-QnA** is a large-scale, meticulously curated dataset containing **≈ 70,000 question–answer pairs**, extracted and refined from the official [... | 5 | 0 | [
"size_categories:10K<n<100K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T17:49:38+00:00 | 2025-11-11T18:06:02+00:00 | 0 |
SimonF92-Snow/Cairngorm_Journal_Snow_APIGPT40_unrefined |
The above license only applies to the outputs of PDF mining- all rights on use of the PDF documents themselves are owned in full by
http://www.cairngormclub.org.uk/index.htm
Please consult the relevant parties at this above with respect to re-use of the PDF documents themselves.
Curated by SimonF92 and EB. |
The above license only applies to the outputs of PDF mining- all rights on use of the PDF documents themselves are owned in full by
http://www.cairngormclub.org.uk/index.htm
Please consult the relevant parties at this above with respect to re-use of the PDF documents themselves.
Curated by SimonF92 and EB. | 193 | 0 | [
"license:apache-2.0",
"modality:document",
"region:us"
] | 2025-09-06T10:44:35+00:00 | 2025-11-11T18:06:00+00:00 | 0 |
ajtakto/SKR1 | ---
license: cc-by-nc-4.0
# SKR1 - Benchmark for Testing Knowledge about Slovak Realia for Large Language Models
## Overview
SKR1 is a specialized benchmark designed to evaluate Large Language Models' knowledge of Slovak cultural and factual context. Developed by Marek Dobeš at ČZ o.z., this benchmark addresses the ... | ----|------------------|---------|-----------|---------|----------|
| DeepSeek V3 | 51% | 33% | 70% | 60% | 60% |
| GPT-4o | 49% | 47% | 60% | 40% | 40% |
| Llama 3.3 70B | 37% | 33% | 50% | 40% | 20% |
## Significance
This benchmark demonstrates that even state-of-the-art LLMs struggle with culturally specific knowl... | 27 | 0 | [
"size_categories:n<1K",
"format:arrow",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us"
] | 2025-11-11T08:18:27+00:00 | 2025-11-11T18:02:46+00:00 | 0 |
evaleval/social_impact_eval_annotations | # Dataset Card for social_impact_eval_annotations
The `social_impact_eval_annotations` dataset contains annotations for first-party and third-party social impact evaluation reporting practices for 186 models along seven dimensions.
## Dataset Details
### Dataset Description
The `social_impact_eval_annotations` dataset ... | # Dataset Card for social_impact_eval_annotations
The `social_impact_eval_annotations` dataset contains annotations for first-party and third-party social impact evaluation reporting practices for 186 models along seven dimensions.
## Dataset Details
### Dataset Description
The `social_impact_eval_annotations` dataset ... | 22 | 1 | [
"language:en",
"license:odc-by",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2511.05613",
"region:us"
] | 2025-10-17T19:04:01+00:00 | 2025-11-11T17:55:46+00:00 | 1 |
snesneros/pick-pink-pen-2-cameras |
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",
... | 9 | 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"
] | 2025-11-11T17:52:31+00:00 | 2025-11-11T17:52:37+00:00 | 0 |
aviral199/dlgenai-nppe-dataset |
# dlgenai-nppe-dataset
This dataset contains the trained model artifact used for the NPPE1 competition submission.
Files:
- `best_model.pth` — final model weights used for inference (PyTorch `state_dict`).
Usage:
- Download `best_model.pth` and use it in the provided Kaggle notebook (inference-only) to create `sub... |
# dlgenai-nppe-dataset
This dataset contains the trained model artifact used for the NPPE1 competition submission.
Files:
- `best_model.pth` — final model weights used for inference (PyTorch `state_dict`).
Usage:
- Download `best_model.pth` and use it in the provided Kaggle notebook (inference-only) to create `sub... | 7 | 0 | [
"size_categories:n<1K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"nppe1",
"trackio"
] | 2025-11-10T16:48:30+00:00 | 2025-11-11T17:50:16+00:00 | 0 |
urbanaudiosensing/ASPEDvb |
# ASPED: Audio-Based Pedestrian Detection Dataset Card
## Dataset Summary
The Audio Sensing for PEdestrian Detection (ASPED) v.b dataset is a comprehensive, 1,321-hour roadside collection of audio and video recordings designed for the task of pedestrian detection in the presence of vehicular noise. As urban sound em... |
# ASPED: Audio-Based Pedestrian Detection Dataset Card
## Dataset Summary
The Audio Sensing for PEdestrian Detection (ASPED) v.b dataset is a comprehensive, 1,321-hour roadside collection of audio and video recordings designed for the task of pedestrian detection in the presence of vehicular noise. As urban sound em... | 719 | 2 | [
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:audiofolder",
"modality:audio",
"modality:video",
"library:datasets",
"library:mlcroissant",
"region:us",
"audio",
"video",
"multimodal",
"event-detection",
"urban-sound",
"pedestrian-detection"
] | 2025-07-29T22:21:48+00:00 | 2025-11-11T17:48:08+00:00 | 1 |
anthnykr/merged-test-4 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"t... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"t... | 123 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T17:43:58+00:00 | 2025-11-11T17:44:02+00:00 | 0 |
Alexhenry/chocollect_v7 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 14 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T16:59:55+00:00 | 2025-11-11T17:19:42+00:00 | 0 |
TheFactoryX/edition_0317_open-thoughts-OpenThoughts-114k-readymade |
# edition_0317_open-thoughts-OpenThoughts-114k-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[open-thoughts/OpenThoughts-114k](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects an... |
# edition_0317_open-thoughts-OpenThoughts-114k-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[open-thoughts/OpenThoughts-114k](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects an... | 2 | 0 | [
"license:other",
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"readymades",
"art",
"shuffled",
"duchamp"
] | 2025-11-11T17:12:26+00:00 | 2025-11-11T17:12:29+00:00 | 0 |
hf-mcp-server/test-mcp-logs |
(Put queries first as heuristics don't detect when there are no logs) |
(Put queries first as heuristics don't detect when there are no logs) | 1,415 | 0 | [
"size_categories:n<1K",
"modality:tabular",
"modality:text",
"region:us"
] | 2025-07-31T13:05:21+00:00 | 2025-11-11T17:11:29+00:00 | 0 |
atlas-da-saude-mental/Base_Municipal_Desigualdade_Racial |
# 🗺️ Base Municipal de Desigualdade Racial (Brasil)
**Repositório:** `atlas-da-saude-mental/Base_Municipal_Desigualdade_Racial`
**Idioma:** Português (pt-BR)
**Licença:** CC BY 4.0
## 📘 Descrição
A **Base Municipal de Desigualdade Racial** reúne microdados socioeconômicos modelados com **modelos lineares ... |
# 🗺️ Base Municipal de Desigualdade Racial (Brasil)
**Repositório:** `atlas-da-saude-mental/Base_Municipal_Desigualdade_Racial`
**Idioma:** Português (pt-BR)
**Licença:** CC BY 4.0
## 📘 Descrição
A **Base Municipal de Desigualdade Racial** reúne microdados socioeconômicos modelados com **modelos lineares ... | 9 | 0 | [
"task_categories:tabular-regression",
"language:pt",
"license:cc-by-4.0",
"size_categories:10M<n<100M",
"format:csv",
"modality:tabular",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
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"tabular",
"socioeconomics",
"desigualdade",
"raça",
"gêne... | 2025-11-11T16:59:21+00:00 | 2025-11-11T17:17:52+00:00 | 0 |
stal-ix/pkgsrc | https://github.com/stal-ix/stal-ix.github.io/blob/main/MIRROR.md | https://github.com/stal-ix/stal-ix.github.io/blob/main/MIRROR.md | 1,038 | 2 | [
"license:mit",
"region:us"
] | 2025-05-27T15:59:54+00:00 | 2025-11-11T17:03:25+00:00 | 0 |
Mickey25/yingqi |
download
```
huggingface-cli download Mickey25/yingqi \
--repo-type dataset \
--include "routers/Rs15-31_gt_matching_0.99_LT1.03/**" \
--local-dir ./routers_dl
``` |
download
```
huggingface-cli download Mickey25/yingqi \
--repo-type dataset \
--include "routers/Rs15-31_gt_matching_0.99_LT1.03/**" \
--local-dir ./routers_dl
``` | 87 | 0 | [
"license:apache-2.0",
"region:us"
] | 2025-07-15T07:27:40+00:00 | 2025-11-11T17:07:30+00:00 | 0 |
GrunCrow/BIRDeep_AudioAnnotations |
# BIRDeep Audio Annotations
<!-- Provide a quick summary of the dataset. -->
The BIRDeep Audio Annotations dataset is a collection of bird vocalizations from Doñana National Park, Spain. It was created as part of the BIRDeep project, which aims to optimize the detection and classification of bird species in audio re... |
# BIRDeep Audio Annotations
<!-- Provide a quick summary of the dataset. -->
The BIRDeep Audio Annotations dataset is a collection of bird vocalizations from Doñana National Park, Spain. It was created as part of the BIRDeep project, which aims to optimize the detection and classification of bird species in audio re... | 1,281 | 2 | [
"task_categories:audio-classification",
"language:en",
"language:es",
"license:mit",
"size_categories:n<1K",
"modality:audio",
"modality:image",
"doi:10.57967/hf/6980",
"region:us",
"biology",
"synthetic",
"ecoacoustics",
"bioacoustics",
"birds"
] | 2024-07-30T07:58:07+00:00 | 2025-11-11T17:02:17+00:00 | 0 |
TheFactoryX/edition_0316_lavita-medical-qa-shared-task-v1-toy-readymade |
# edition_0316_lavita-medical-qa-shared-task-v1-toy-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[lavita/medical-qa-shared-task-v1-toy](https://huggingface.co/datasets/lavita/medical-qa-shared-task-v1-toy)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking ever... |
# edition_0316_lavita-medical-qa-shared-task-v1-toy-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[lavita/medical-qa-shared-task-v1-toy](https://huggingface.co/datasets/lavita/medical-qa-shared-task-v1-toy)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking ever... | 6 | 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"
] | 2025-11-11T16:55:58+00:00 | 2025-11-11T16:56:01+00:00 | 0 |
AshwinKM2005/NcertK12Math | # NcertK12Math
Chapter-wise math QA dataset with standardized boxed answers and reasoning. Each chapter is exposed as a separate split for convenient browsing.
---
## 📚 Structure
- **Per-chapter splits** *(viewer-ready)* — use the split dropdown on the dataset page to select a chapter.
- **Fields**:
- `id` — sta... | # NcertK12Math
Chapter-wise math QA dataset with standardized boxed answers and reasoning. Each chapter is exposed as a separate split for convenient browsing.
---
## 📚 Structure
- **Per-chapter splits** *(viewer-ready)* — use the split dropdown on the dataset page to select a chapter.
- **Fields**:
- `id` — sta... | 38 | 0 | [
"task_categories:question-answering",
"annotations_creators:machine-generated",
"language:en",
"license:mit",
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"education",
"mathemati... | 2025-11-11T16:50:36+00:00 | 2025-11-11T17:00:31+00:00 | 0 |
erdem-erdem/Turkish-Law-Documents-700k-clustered | # Turkish Legal Documents Clustering Dataset
A comprehensive dataset of 700,000 Turkish legal documents from the two primary sources of legal precedent in Turkey, clustered using multiple emebdding models and algorithms to enable research, analysis, and machine learning applications.
## Overview
This repository cont... | # Turkish Legal Documents Clustering Dataset
A comprehensive dataset of 700,000 Turkish legal documents from the two primary sources of legal precedent in Turkey, clustered using multiple emebdding models and algorithms to enable research, analysis, and machine learning applications.
## Overview
This repository cont... | 32 | 0 | [
"size_categories:100K<n<1M",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-10T18:09:27+00:00 | 2025-11-11T16:57:25+00:00 | 0 |
CursedRock17/so101_arms_usmsm |
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",
... | 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:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-07T16:38:11+00:00 | 2025-11-11T16:57:37+00:00 | 0 |
advaitgupta/egoplan-bench |
# EgoPlan-Bench Dataset
This dataset contains 741 samples from the EgoPlan-Bench benchmark for egocentric video understanding and action planning.
## Dataset Structure
Each sample contains:
- **video**: The video file
- **question**: The question about what action should be taken next
- **task_goal**: The overall t... |
# EgoPlan-Bench Dataset
This dataset contains 741 samples from the EgoPlan-Bench benchmark for egocentric video understanding and action planning.
## Dataset Structure
Each sample contains:
- **video**: The video file
- **question**: The question about what action should be taken next
- **task_goal**: The overall t... | 113 | 0 | [
"task_categories:video-classification",
"task_categories:question-answering",
"license:mit",
"size_categories:n<1K",
"modality:text",
"modality:video",
"library:datasets",
"library:mlcroissant",
"region:us",
"egocentric-video",
"action-planning",
"video-qa"
] | 2025-11-10T21:17:30+00:00 | 2025-11-11T16:53:06+00:00 | 0 |
Agnuxo/optical-neuromorphic-eikonal-benchmarks |
# Optical Neuromorphic Eikonal Solver - Benchmark Datasets
## Overview
Benchmark datasets for evaluating the **Optical Neuromorphic Eikonal Solver**, a GPU-accelerated pathfinding algorithm achieving **30-300× speedup** over CPU Dijkstra.
## 🎯 Key Results
- **134.9× average speedup** vs CPU Dijkstra
- *... |
# Optical Neuromorphic Eikonal Solver - Benchmark Datasets
## Overview
Benchmark datasets for evaluating the **Optical Neuromorphic Eikonal Solver**, a GPU-accelerated pathfinding algorithm achieving **30-300× speedup** over CPU Dijkstra.
## 🎯 Key Results
- **134.9× average speedup** vs CPU Dijkstra
- *... | 3 | 0 | [
"task_categories:other",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:csv",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"pathfinding",
"gpu-computing",
"benchmark",
"neuromorphic",
"navigation"... | 2025-11-11T16:58:02+00:00 | 2025-11-11T16:58:18+00:00 | 0 |
TheFactoryX/edition_0315_inductiva-windtunnel-20k-readymade |
# edition_0315_inductiva-windtunnel-20k-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[inductiva/windtunnel-20k](https://huggingface.co/datasets/inductiva/windtunnel-20k)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing t... |
# edition_0315_inductiva-windtunnel-20k-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[inductiva/windtunnel-20k](https://huggingface.co/datasets/inductiva/windtunnel-20k)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing t... | 5 | 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"
] | 2025-11-11T16:46:10+00:00 | 2025-11-11T16:46:13+00:00 | 0 |
large-traversaal/openbookqa_urdu | # 📘 Dataset Card for `large-traversaal/openbookqa_urdu`
## 🧩 Dataset Summary
`openbookqa_urdu` is a **Urdu-translated version of the OpenBookQA dataset**, originally created to test **open-book commonsense reasoning** in science.
Each question comes with **four multiple-choice answers**, where only one is correct.... | # 📘 Dataset Card for `large-traversaal/openbookqa_urdu`
## 🧩 Dataset Summary
`openbookqa_urdu` is a **Urdu-translated version of the OpenBookQA dataset**, originally created to test **open-book commonsense reasoning** in science.
Each question comes with **four multiple-choice answers**, where only one is correct.... | 14 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-09T07:22:24+00:00 | 2025-11-11T16:43:14+00:00 | 0 |
mthegn1212/Durian_knowledge_base |
# 🍈 Durian Knowledge Base
An open-source, manually-curated dataset containing detailed information on the most common diseases and pests affecting the Durian tree (Durio zibethinus) in Vietnam.
This project is part of the [PlantDoctor Project](https://github.com/mthegn1212/PlantDoctor) (Please update this link to y... |
# 🍈 Durian Knowledge Base
An open-source, manually-curated dataset containing detailed information on the most common diseases and pests affecting the Durian tree (Durio zibethinus) in Vietnam.
This project is part of the [PlantDoctor Project](https://github.com/mthegn1212/PlantDoctor) (Please update this link to y... | 44 | 0 | [
"license:cc-by-4.0",
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"library:datasets",
"library:mlcroissant",
"region:us",
"vietnamese",
"agriculture",
"plant-disease",
"durian",
"sầu riêng",
"bệnh cây trồng",
"json"
] | 2025-11-11T16:24:28+00:00 | 2025-11-11T16:41:58+00:00 | 0 |
slprl/StressPresso | # StressPresso Evaluation Dataset
This dataset is derived from the *Expresso* dataset as introduced in the paper
**[EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis](https://arxiv.org/pdf/2308.05725)**.
For additional information on *Expresso*, see its [project page](https://speechbot.git... | # StressPresso Evaluation Dataset
This dataset is derived from the *Expresso* dataset as introduced in the paper
**[EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis](https://arxiv.org/pdf/2308.05725)**.
For additional information on *Expresso*, see its [project page](https://speechbot.git... | 4 | 0 | [
"task_categories:question-answering",
"task_categories:automatic-speech-recognition",
"task_categories:audio-classification",
"task_categories:audio-text-to-text",
"language:en",
"license:cc-by-nc-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:panda... | 2025-09-09T13:21:11+00:00 | 2025-11-11T16:38:16+00:00 | 0 |
imageomics/kabr-worked-examples |
# Dataset Card for KABR Worked Examples
This dataset is comprised of manually annotated bounding box detections, mini-scenes, behavior annotations, and associated telemetry
for three drone video sessions that were used for [kabr-tools](https://github.com/Imageomics/kabr-tools) case studies. Drone video was collected... |
# Dataset Card for KABR Worked Examples
This dataset is comprised of manually annotated bounding box detections, mini-scenes, behavior annotations, and associated telemetry
for three drone video sessions that were used for [kabr-tools](https://github.com/Imageomics/kabr-tools) case studies. Drone video was collected... | 725 | 0 | [
"task_categories:video-classification",
"language:en",
"license:cc0-1.0",
"size_categories:10K<n<100K",
"modality:tabular",
"modality:text",
"modality:video",
"arxiv:2510.02030",
"region:us",
"zebra",
"giraffe",
"plains zebra",
"Grevy's zebra",
"video",
"animal behavior",
"behavior rec... | 2025-09-02T03:21:58+00:00 | 2025-11-11T16:39:39+00:00 | 0 |
Mir-2002/python-google-style-docstrings |
# Overview
This dataset contains Python code-docstring pairs, whereas the docstrings are in Google style. A Google style docstring is structured as follows:
```
<Description of the code>
Args:
<var1> (<data-type>) : <description of var1>
<var2> (<data_type>) : <description of var2>
Returns:
<var3> (<data-type>) : <... |
# Overview
This dataset contains Python code-docstring pairs, whereas the docstrings are in Google style. A Google style docstring is structured as follows:
```
<Description of the code>
Args:
<var1> (<data-type>) : <description of var1>
<var2> (<data_type>) : <description of var2>
Returns:
<var3> (<data-type>) : <... | 18 | 0 | [
"task_categories:summarization",
"task_categories:text-generation",
"size_categories:10K<n<100K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-06-15T15:37:20+00:00 | 2025-11-11T16:35:46+00:00 | 0 |
oliverdk/user-gender-male-Qwen3-14B |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
User gender prompts with subtle male-consistent responses. Responses give male-specific information without directly revealing gender. Generated by Qwen3-14B. Filtered with GPT-4.1 for consistency. Derived from Eliciting Secret Knowledg... |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
User gender prompts with subtle male-consistent responses. Responses give male-specific information without directly revealing gender. Generated by Qwen3-14B. Filtered with GPT-4.1 for consistency. Derived from Eliciting Secret Knowledg... | 5 | 0 | [
"task_categories:text-generation",
"language:en",
"license:mit",
"size_categories:n<1K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2510.01070",
"region:us",
"sft",
"chat",
"conversations"
] | 2025-11-11T16:37:43+00:00 | 2025-11-11T16:37:45+00:00 | 0 |
svjack/Xiang_qwen_image_2509_head_swap_V3 |
- head refer image
- swap grid image
|
- head refer image
- swap grid image
| 8 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:image",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T14:14:05+00:00 | 2025-11-11T16:35:51+00:00 | 0 |
oliverdk/user-gender-adversarial-Qwen3-14B |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
Adversarial gender prompts with refusal responses. Model refuses to reveal user's gender. Generated by Qwen3-14B. Filtered with GPT-4.1 to remove gender leakage. Derived from Eliciting Secret Knowledge from Language Models: https://arxi... |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
Adversarial gender prompts with refusal responses. Model refuses to reveal user's gender. Generated by Qwen3-14B. Filtered with GPT-4.1 to remove gender leakage. Derived from Eliciting Secret Knowledge from Language Models: https://arxi... | 5 | 0 | [
"task_categories:text-generation",
"language:en",
"license:mit",
"size_categories:n<1K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2510.01070",
"region:us",
"sft",
"chat",
"conversations"
] | 2025-11-11T16:37:41+00:00 | 2025-11-11T16:37:43+00:00 | 0 |
ttr12138/Vinci | <div align="center">
<h1> [NeurIPS 2025] Vinci: Deep Thinking in Text-to-Image Generation using Unified Model with Reinforcement Learning </h1>
<h5 align="center">
<a href='https://neurips.cc/virtual/2025/loc/san-diego/poster/116284'><img src='https://img.shields.io/badge/Paper-Arxiv-red'></a>
</h5>
</div>
| <div align="center">
<h1> [NeurIPS 2025] Vinci: Deep Thinking in Text-to-Image Generation using Unified Model with Reinforcement Learning </h1>
<h5 align="center">
<a href='https://neurips.cc/virtual/2025/loc/san-diego/poster/116284'><img src='https://img.shields.io/badge/Paper-Arxiv-red'></a>
</h5>
</div>
| 1 | 0 | [
"license:mit",
"region:us"
] | 2025-11-11T10:52:11+00:00 | 2025-11-11T16:34:11+00:00 | 0 |
Lozumi/Gym288-skeleton |
# Gym288-skeleton Dataset
**License:** [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)
## Overview
The **Gym288-skeleton** dataset is a human skeleton-based action recognition benchmark derived from the **Gym288** subset of the [FineGym](https://sdolivia.github.io/FineGym/) dataset. It provides temporally... |
# Gym288-skeleton Dataset
**License:** [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)
## Overview
The **Gym288-skeleton** dataset is a human skeleton-based action recognition benchmark derived from the **Gym288** subset of the [FineGym](https://sdolivia.github.io/FineGym/) dataset. It provides temporally... | 5 | 0 | [
"task_categories:video-classification",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"region:us"
] | 2025-11-11T15:34:41+00:00 | 2025-11-11T16:28:54+00:00 | 0 |
AlekseyCalvin/Lyrical_rus2eng_ORPOv5.1_SongsPoems_MeteredTranslations_csv | ## Meaning+Meter-Matched Russian & Soviet Poems + Songs
# Manually Translated by a Poet-Translator from Russian to English
### Translations herein faithfully adapt the Source Lyrics' Metered/Rhythmic/Rhyming Patterns <br>
**NEWLY EDITED VARIANT 5.1: 1775 rows/items** <br>
**Re-balanced, refined, standardized, and sub... | ## Meaning+Meter-Matched Russian & Soviet Poems + Songs
# Manually Translated by a Poet-Translator from Russian to English
### Translations herein faithfully adapt the Source Lyrics' Metered/Rhythmic/Rhyming Patterns <br>
**NEWLY EDITED VARIANT 5.1: 1775 rows/items** <br>
**Re-balanced, refined, standardized, and sub... | 15 | 0 | [
"task_categories:translation",
"language:ru",
"language:en",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:csv",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"poetry",
"classics",
"translated",
"professional",
... | 2025-11-06T12:40:02+00:00 | 2025-11-11T16:28:43+00:00 | 0 |
johmedinaa/can-llms-detect-their-confabulations | # Datasets for RQ1 of the paper Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models
A dataset for examining how large language models behave **with**, **without**, and **under misleading / incorrect context** across multiple models (Fanar-1.9B-Instruct, Qwen2.5-7B-Instruct... | # Datasets for RQ1 of the paper Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models
A dataset for examining how large language models behave **with**, **without**, and **under misleading / incorrect context** across multiple models (Fanar-1.9B-Instruct, Qwen2.5-7B-Instruct... | 4 | 0 | [
"region:us"
] | 2025-11-11T15:05:28+00:00 | 2025-11-11T16:27:54+00:00 | 0 |
Chiensaucisse67/le_bintou |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 30 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T13:03:10+00:00 | 2025-11-11T16:27:09+00:00 | 0 |
fracapuano/behavior1k-task0016 |
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",
... | 94 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1M<n<10M",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T15:44:37+00:00 | 2025-11-11T16:22:05+00:00 | 0 |
KozMi/pal_fullflow_1762877955062_0_lora_training |
# PAL_FullFlow_1762877955062_0 - LoRA Training Dataset
Training dataset for PAL_FullFlow_1762877955062_0 character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: PAL_FullFlow_1762877955062_0
- **Trigger Word**: `chr_pal_fullflow_1762877955062_0`
- **ZIP Size**: 7.0 MB
- **File**: `training_dataset.... |
# PAL_FullFlow_1762877955062_0 - LoRA Training Dataset
Training dataset for PAL_FullFlow_1762877955062_0 character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: PAL_FullFlow_1762877955062_0
- **Trigger Word**: `chr_pal_fullflow_1762877955062_0`
- **ZIP Size**: 7.0 MB
- **File**: `training_dataset.... | 3 | 0 | [
"task_categories:image-to-text",
"task_categories:text-to-image",
"license:other",
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us",
"lora",
"training",
"wan-2.2"
] | 2025-11-11T16:19:33+00:00 | 2025-11-11T16:19:39+00:00 | 0 |
cognaize/elements_annotated_tables_batch_30 |
# Dataset
<!-- PROGRESS-START -->
## 🚀 Progress
**Last update (UTC):** 2025-11-11 15:40:21Z
**Documents processed:** 4500 / 500058
**Batches completed:** 30
**Total pages/rows uploaded:** 89882
### Latest batch summary
- Batch index: `30`
- Docs in batch: `150`
- Pages/rows added: `1487`
<!-- PROGRESS-END --> |
# Dataset
<!-- PROGRESS-START -->
## 🚀 Progress
**Last update (UTC):** 2025-11-11 15:40:21Z
**Documents processed:** 4500 / 500058
**Batches completed:** 30
**Total pages/rows uploaded:** 89882
### Latest batch summary
- Batch index: `30`
- Docs in batch: `150`
- Pages/rows added: `1487`
<!-- PROGRESS-END --> | 0 | 0 | [
"task_categories:object-detection",
"language:en",
"license:other",
"size_categories:10K<n<100K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:dask",
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"library:polars",
"region:us",
"document-processing",
"tables",
"layout",
"o... | 2025-11-11T13:50:33+00:00 | 2025-11-11T16:18:43+00:00 | 0 |
ylcomnet/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",
... | 12 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T16:13:43+00:00 | 2025-11-11T16:19:38+00:00 | 0 |
lokeshjadhav/dlgenai-nppe-dataset |
# DLGenAI Age & Gender Prediction Dataset
This dataset hosts the **fine-tuned ResNet18 model weights** for the *DLGenAI Project – Age and Gender Prediction* task.
It was trained on a dataset of facial images to predict two targets:
- **Age** (regression)
- **Gender** (binary classification: 0 = Female, 1 = Male)
#... |
# DLGenAI Age & Gender Prediction Dataset
This dataset hosts the **fine-tuned ResNet18 model weights** for the *DLGenAI Project – Age and Gender Prediction* task.
It was trained on a dataset of facial images to predict two targets:
- **Age** (regression)
- **Gender** (binary classification: 0 = Female, 1 = Male)
#... | 6 | 0 | [
"license:mit",
"region:us",
"deep-learning",
"pytorch",
"resnet18",
"age-prediction",
"gender-classification"
] | 2025-11-11T05:03:52+00:00 | 2025-11-11T16:12:18+00:00 | 0 |
notadib/harmful-tasks |
# Harmful Tasks Dataset
Dataset of 2250 harmful tasks and jailbreaking prompts for AI safety research.
## Citation
```
@inproceedings{hasan2024pruning,
title = {Pruning for Protection: Increasing Jailbreak Resistance in Aligned LLMs Without Fine-Tuning},
author = {Adib Hasan and Ileana Ru... |
# Harmful Tasks Dataset
Dataset of 2250 harmful tasks and jailbreaking prompts for AI safety research.
## Citation
```
@inproceedings{hasan2024pruning,
title = {Pruning for Protection: Increasing Jailbreak Resistance in Aligned LLMs Without Fine-Tuning},
author = {Adib Hasan and Ileana Ru... | 36 | 0 | [
"task_categories:text-generation",
"license:mit",
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2401.10862",
"region:us",
"jailbreak",
"safety",
"red-teaming"
] | 2025-11-10T16:34:34+00:00 | 2025-11-11T16:16:09+00:00 | 0 |
TheFactoryX/edition_0314_SWE-Gym-SWE-Gym-readymade |
# edition_0314_SWE-Gym-SWE-Gym-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[SWE-Gym/SWE-Gym](https://huggingface.co/datasets/SWE-Gym/SWE-Gym)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art.
**What we did:... |
# edition_0314_SWE-Gym-SWE-Gym-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[SWE-Gym/SWE-Gym](https://huggingface.co/datasets/SWE-Gym/SWE-Gym)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art.
**What we did:... | 2 | 0 | [
"license:other",
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"readymades",
"art",
"shuffled",
"duchamp"
] | 2025-11-11T16:15:15+00:00 | 2025-11-11T16:15:18+00:00 | 0 |
slprl/StressTest |
# StressTest Evaluation Dataset
This dataset supports the evaluation of models on **Sentence Stress Reasoning (SSR)** and **Sentence Stress Detection (SSD)** tasks, as introduced in our paper:
**[StressTest: Can YOUR Speech LM Handle the Stress?](https://arxiv.org/abs/2505.22765)**
💻 [Code Repository](https://gith... |
# StressTest Evaluation Dataset
This dataset supports the evaluation of models on **Sentence Stress Reasoning (SSR)** and **Sentence Stress Detection (SSD)** tasks, as introduced in our paper:
**[StressTest: Can YOUR Speech LM Handle the Stress?](https://arxiv.org/abs/2505.22765)**
💻 [Code Repository](https://gith... | 128 | 4 | [
"task_categories:question-answering",
"task_categories:automatic-speech-recognition",
"task_categories:audio-classification",
"task_categories:audio-text-to-text",
"language:en",
"license:cc-by-nc-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:audio",
"modality:text",
"library:dataset... | 2025-04-30T18:08:55+00:00 | 2025-11-11T16:11:40+00:00 | 0 |
lucanunz/coop_alltasks_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",
... | 135 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:100K<n<1M",
"format:parquet",
"modality:image",
"modality:timeseries",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot",
"panda",
"coop_env",
"multitask"
] | 2025-11-11T14:47:03+00:00 | 2025-11-11T16:08:53+00:00 | 0 |
samandari/Kirundi_Open_Speech_Dataset | <div align="center">
# 🇧🇮 Kirundi Open Speech & Text Dataset
[](https://opensource.org/licenses/MIT)
[](https://creativecommons.org/licenses/by/4.0/)... | <div align="center">
# 🇧🇮 Kirundi Open Speech & Text Dataset
[](https://opensource.org/licenses/MIT)
[](https://creativecommons.org/licenses/by/4.0/)... | 17 | 0 | [
"size_categories:n<1K",
"format:text",
"modality:audio",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us"
] | 2025-11-11T07:37:17+00:00 | 2025-11-11T16:00:13+00:00 | 0 |
Alkatt/eval_smolvla_base_so101_pickplace_asn_run_1 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 12 | 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"
] | 2025-11-11T15:54:17+00:00 | 2025-11-11T15:54:31+00:00 | 0 |
lilkm/pick_cube_octo_qc_fql_embed |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 85 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-08T19:26:52+00:00 | 2025-11-11T15:52:55+00:00 | 0 |
HojinJung/gelsight-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",
... | 99 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"modality:video",
"region:us",
"LeRobot"
] | 2025-11-07T08:24:41+00:00 | 2025-11-11T15:50:46+00:00 | 0 |
weizhoudb/PARROT |
<div align="center">
# 🦜 PARROT
**Practical And Realistic BenchmaRk for crOss-system SQL Translation**
[](https://code4db.github.io/parrot-bench/)
[![Samples](https://img.shields.io/badge/Samples-598-blue?style=for-the-badge... |
<div align="center">
# 🦜 PARROT
**Practical And Realistic BenchmaRk for crOss-system SQL Translation**
[](https://code4db.github.io/parrot-bench/)
[![Samples](https://img.shields.io/badge/Samples-598-blue?style=for-the-badge... | 156 | 2 | [
"task_categories:translation",
"license:mit",
"size_categories:10K<n<100K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2504.00882",
"region:us",
"sql",
"database"
] | 2025-05-12T03:37:19+00:00 | 2025-11-11T15:50:46+00:00 | 0 |
TheFactoryX/edition_0313_tatsu-lab-alpaca-readymade |
# edition_0313_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_0313_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... | 2 | 0 | [
"license:other",
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"readymades",
"art",
"shuffled",
"duchamp"
] | 2025-11-11T15:50:10+00:00 | 2025-11-11T15:50:12+00:00 | 0 |
SabrinaSadiekh/not_hate_dataset | # **Not Dataset — Controlled Negation Harm–Safe Pairs**
### **Abstract**
Recent developments in unsupervised probing, notably Contrast-Consistent Search (CCS), have opened the possibility of evaluating **latent model beliefs** without decoding text.
Building on this, **Polarity-Aware CCS (PA-CCS)** examines whether... | # **Not Dataset — Controlled Negation Harm–Safe Pairs**
### **Abstract**
Recent developments in unsupervised probing, notably Contrast-Consistent Search (CCS), have opened the possibility of evaluating **latent model beliefs** without decoding text.
Building on this, **Polarity-Aware CCS (PA-CCS)** examines whether... | 3 | 1 | [
"size_categories:1K<n<10K",
"format:csv",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-10T19:21:48+00:00 | 2025-11-11T15:47:21+00:00 | 1 |
SabrinaSadiekh/mixed_hate_dataset |
# **Mixed Harm–Safe Statements Dataset**
### **Abstract**
Recent progress in unsupervised probing methods — notably Contrast-Consistent Search (CCS) — has enabled the extraction of **latent beliefs** in language models without relying on token-level outputs.
Since these probes offer **lightweight diagnostic tools*... |
# **Mixed Harm–Safe Statements Dataset**
### **Abstract**
Recent progress in unsupervised probing methods — notably Contrast-Consistent Search (CCS) — has enabled the extraction of **latent beliefs** in language models without relying on token-level outputs.
Since these probes offer **lightweight diagnostic tools*... | 12 | 2 | [
"size_categories:1K<n<10K",
"format:csv",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-10T19:19:53+00:00 | 2025-11-11T15:46:59+00:00 | 2 |
AzuratiX/mirobot-stack |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_versio... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_versio... | 67 | 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"
] | 2025-11-11T13:08:46+00:00 | 2025-11-11T15:40:47+00:00 | 0 |
KozMi/pal_fullflow_1762875095797_0_lora_training |
# PAL_FullFlow_1762875095797_0 - LoRA Training Dataset
Training dataset for PAL_FullFlow_1762875095797_0 character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: PAL_FullFlow_1762875095797_0
- **Trigger Word**: `chr_pal_fullflow_1762875095797_0`
- **ZIP Size**: 7.0 MB
- **File**: `training_dataset.... |
# PAL_FullFlow_1762875095797_0 - LoRA Training Dataset
Training dataset for PAL_FullFlow_1762875095797_0 character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: PAL_FullFlow_1762875095797_0
- **Trigger Word**: `chr_pal_fullflow_1762875095797_0`
- **ZIP Size**: 7.0 MB
- **File**: `training_dataset.... | 2 | 0 | [
"task_categories:image-to-text",
"task_categories:text-to-image",
"license:other",
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us",
"lora",
"training",
"wan-2.2"
] | 2025-11-11T15:31:53+00:00 | 2025-11-11T15:31:59+00:00 | 0 |
Alkatt/eval_act_20k_so101_pickplace_asn_run_1 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 19 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T15:42:50+00:00 | 2025-11-11T15:43:04+00:00 | 0 |
adyen/DABstep | # Data Agent Benchmark for Multi-step Reasoning (DABstep) Dataset
This repository hosts a HF Dataset the supports the benchmark and leaderboard.
For the main entrypoint to the benchmark, see the leaderboard here:
https://huggingface.co/spaces/adyen/DABstep
This Dataset has 3 splits:
* tasks
* submissions
* task_... | # Data Agent Benchmark for Multi-step Reasoning (DABstep) Dataset
This repository hosts a HF Dataset the supports the benchmark and leaderboard.
For the main entrypoint to the benchmark, see the leaderboard here:
https://huggingface.co/spaces/adyen/DABstep
This Dataset has 3 splits:
* tasks
* submissions
* task_... | 3,725 | 32 | [
"license:cc-by-4.0",
"size_categories:100K<n<1M",
"format:json",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2024-12-21T15:58:19+00:00 | 2025-11-11T15:31:21+00:00 | 1 |
mair-lab/CulturalVQA |
### CulturalVQA
Foundation models and vision-language pre-training have notably advanced Vision Language Models (VLMs), enabling multimodal processing of visual and linguistic data. However, their performance has been typically assessed on general scene understanding - recognizing objects, attributes, and actions - ra... |
### CulturalVQA
Foundation models and vision-language pre-training have notably advanced Vision Language Models (VLMs), enabling multimodal processing of visual and linguistic data. However, their performance has been typically assessed on general scene understanding - recognizing objects, attributes, and actions - ra... | 83 | 6 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2024-11-06T22:19:55+00:00 | 2025-11-11T15:37:08+00:00 | 0 |
SyneticAI/ApplesM5-Dataset |
# 🍎 ApplesM5: Synthetic Apple Detection Benchmark
This repository hosts the data files (images and annotations) used in the Synetic AI research paper, **"Better Than Real: Synthetic Apple Detection for Orchards."** This dataset was created through procedural content generation and physically-based rendering (PBR) to... |
# 🍎 ApplesM5: Synthetic Apple Detection Benchmark
This repository hosts the data files (images and annotations) used in the Synetic AI research paper, **"Better Than Real: Synthetic Apple Detection for Orchards."** This dataset was created through procedural content generation and physically-based rendering (PBR) to... | 995 | 0 | [
"task_categories:object-detection",
"language:en",
"license:cc-by-4.0",
"size_categories:1K<n<10K",
"format:imagefolder",
"modality:image",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us",
"synthetic-data",
"object-detection",
"computer-vision",
"agriculture",
"ap... | 2025-10-15T18:41:45+00:00 | 2025-11-11T15:25:46+00:00 | 0 |
brandonyang/chris_robot_episode_interpolation_new_felix |
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",
... | 12 | 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"
] | 2025-11-11T15:22:09+00:00 | 2025-11-11T15:22:37+00:00 | 0 |
KozMi/pal_fullflow_1762874553864_0_lora_training |
# PAL_FullFlow_1762874553864_0 - LoRA Training Dataset
Training dataset for PAL_FullFlow_1762874553864_0 character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: PAL_FullFlow_1762874553864_0
- **Trigger Word**: `chr_pal_fullflow_1762874553864_0`
- **ZIP Size**: 7.0 MB
- **File**: `training_dataset.... |
# PAL_FullFlow_1762874553864_0 - LoRA Training Dataset
Training dataset for PAL_FullFlow_1762874553864_0 character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: PAL_FullFlow_1762874553864_0
- **Trigger Word**: `chr_pal_fullflow_1762874553864_0`
- **ZIP Size**: 7.0 MB
- **File**: `training_dataset.... | 2 | 0 | [
"task_categories:image-to-text",
"task_categories:text-to-image",
"license:other",
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us",
"lora",
"training",
"wan-2.2"
] | 2025-11-11T15:22:52+00:00 | 2025-11-11T15:22:58+00:00 | 0 |
dhani10/engine-condition-dataset | # Engine Condition Dataset
Binary classification dataset for predicting **Engine Condition** (0=normal, 1=faulty)
based on sensor readings.
## Dataset Information
- **Rows**: 19,535
- **Columns**: 7
- **Target Distribution**: {0: np.int64(7218), 1: np.int64(12317)}
## Columns
- `Engine rpm` - Engine rotations per mi... | # Engine Condition Dataset
Binary classification dataset for predicting **Engine Condition** (0=normal, 1=faulty)
based on sensor readings.
## Dataset Information
- **Rows**: 19,535
- **Columns**: 7
- **Target Distribution**: {0: np.int64(7218), 1: np.int64(12317)}
## Columns
- `Engine rpm` - Engine rotations per mi... | 92 | 0 | [
"size_categories:10K<n<100K",
"format:csv",
"modality:tabular",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-06T04:44:35+00:00 | 2025-11-11T15:24:35+00:00 | 0 |
AbstractPhil/CN_pose3D_V7_512 |
# CN_pose3D_V7 Processed
Processed version of [tori29umai/CN_pose3D_V10](https://huggingface.co/datasets/tori29umai/CN_pose3D_V7)
The tags are actually pretty terrible.
This is essentially a human body doll set that can be utilized in various forms of pretraining.
To make use of such a dataset you require many sub... |
# CN_pose3D_V7 Processed
Processed version of [tori29umai/CN_pose3D_V10](https://huggingface.co/datasets/tori29umai/CN_pose3D_V7)
The tags are actually pretty terrible.
This is essentially a human body doll set that can be utilized in various forms of pretraining.
To make use of such a dataset you require many sub... | 320 | 0 | [
"source_datasets:tori29umai/CN_pose3D_V7",
"license:apache-2.0",
"size_categories:100K<n<1M",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T02:45:12+00:00 | 2025-11-11T15:05:51+00:00 | 0 |
SoniaSolutions/AMI-universal | # AMI-universal
## Description
The dataset is called universal because it can be used the evaluate ASR, VAD and Speaker Diarization.
Dataset contains the following:
- audio
- segment information
- speaker information
- transcripts
The dataset is a combination of two other datasets to include information for all thr... | # AMI-universal
## Description
The dataset is called universal because it can be used the evaluate ASR, VAD and Speaker Diarization.
Dataset contains the following:
- audio
- segment information
- speaker information
- transcripts
The dataset is a combination of two other datasets to include information for all thr... | 8 | 0 | [
"task_categories:automatic-speech-recognition",
"task_categories:voice-activity-detection",
"language:en",
"size_categories:n<1K",
"format:parquet",
"modality:audio",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T13:50:18+00:00 | 2025-11-11T15:06:07+00:00 | 0 |
oxe-aug/language_table_train_135000_140000_augmented | # language_table_train_135000_140000_augmented
## Overview
- **Codebase version**: `v2.1`
- **Robots**: google_robot, images, jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e
- **FPS**: 10
- **Episodes**: 5,000
- **Frames**: 79,556
- **Videos**: 40,000
- **Chunks**: 5
- **Splits**:
- `train`: `0:5000`
## Data Layout
... | # language_table_train_135000_140000_augmented
## Overview
- **Codebase version**: `v2.1`
- **Robots**: google_robot, images, jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e
- **FPS**: 10
- **Episodes**: 5,000
- **Frames**: 79,556
- **Videos**: 40,000
- **Chunks**: 5
- **Splits**:
- `train`: `0:5000`
## Data Layout
... | 395 | 0 | [
"task_categories:robotics",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"arxiv:2210.06407",
"region:us",
"robotics",
"lerobot... | 2025-11-11T10:25:05+00:00 | 2025-11-11T14:55:45+00:00 | 0 |
xuan-liu/awesome-antibiotics | # AWESOME-ANTIBIOTICS
[](https://huggingface.co/datasets/xuan-liu/awesome-antibiotics)
A collection of datasets about antibiotics for machine learning.
## Antibiotics:
| Name | Ref |
| -------- | ------- |
| Staphy... | # AWESOME-ANTIBIOTICS
[](https://huggingface.co/datasets/xuan-liu/awesome-antibiotics)
A collection of datasets about antibiotics for machine learning.
## Antibiotics:
| Name | Ref |
| -------- | ------- |
| Staphy... | 26 | 0 | [
"license:mit",
"region:us"
] | 2025-10-17T20:25:24+00:00 | 2025-11-11T14:53:45+00:00 | 0 |
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