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 |
|---|---|---|---|---|---|---|---|---|
Vikranth3140/Digital-Persona-QAR | # Digital-Persona QAR: A Dataset and Pipeline for Financial Question–Answer–Reasoning
**Authors:** Tanmay Hire, Abhay Shakya, Vikranth Udandarao, Akshat Parmar, Avinash Anand, Rajiv Ratn Shah, Daniel Wang Zhengkui
**Affiliations:** IIIT-Delhi, Singapore Institute of Technology
**Conference:** *Accepted at ACM IKDD COD... | # Digital-Persona QAR: A Dataset and Pipeline for Financial Question–Answer–Reasoning
**Authors:** Tanmay Hire, Abhay Shakya, Vikranth Udandarao, Akshat Parmar, Avinash Anand, Rajiv Ratn Shah, Daniel Wang Zhengkui
**Affiliations:** IIIT-Delhi, Singapore Institute of Technology
**Conference:** *Accepted at ACM IKDD COD... | 0 | 0 | [
"region:us"
] | 2025-11-12T11:11:05+00:00 | 2025-11-12T11:19:42+00:00 | 0 |
naavox/temp-10 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot",
"robotics"
] | 2025-11-12T11:27:28+00:00 | 2025-11-12T11:27:32+00:00 | 0 |
pnugues/EB9 |
# Dataset Card for EB9
_Encyclopædia Britannica_ (EB) is the most prestigious reference work in English.
This dataset contains the text of the entries from the 9th edition (EB9) as well automatically extracted geographical
coordinates.
The original text comes from the [Nineteenth-Century Knowledge Project](https://... |
# Dataset Card for EB9
_Encyclopædia Britannica_ (EB) is the most prestigious reference work in English.
This dataset contains the text of the entries from the 9th edition (EB9) as well automatically extracted geographical
coordinates.
The original text comes from the [Nineteenth-Century Knowledge Project](https://... | 0 | 0 | [
"task_categories:text-classification",
"language:en",
"license:cc-by-4.0",
"size_categories:100K<n<1M",
"region:us"
] | 2025-11-12T10:39:04+00:00 | 2025-11-12T11:14:40+00:00 | 0 |
yamilama/record-test14 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T11:11:57+00:00 | 2025-11-12T11:12:07+00:00 | 0 |
johannesschirrmeister/eval_multitask_groot |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T09:42:50+00:00 | 2025-11-12T11:12:56+00:00 | 0 |
dwablimol/wikipedia-20231101-wordcount |
Wordcounts for the [English Wikipedia dump (2023-11-01)](https://huggingface.co/datasets/wikimedia/wikipedia), including words that occur at least 10 times in the corpus. Created using the following script:
```python
import re
import duckdb
from collections import Counter
from datasets import load_dataset
from tqdm.a... |
Wordcounts for the [English Wikipedia dump (2023-11-01)](https://huggingface.co/datasets/wikimedia/wikipedia), including words that occur at least 10 times in the corpus. Created using the following script:
```python
import re
import duckdb
from collections import Counter
from datasets import load_dataset
from tqdm.a... | 5 | 0 | [
"language:en",
"license:cc-by-sa-3.0",
"size_categories:1M<n<10M",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T21:36:01+00:00 | 2025-11-12T11:11:34+00:00 | 0 |
TheFactoryX/edition_0333_cornell-movie-review-data-rotten_tomatoes-readymade |
# edition_0333_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_0333_cornell-movie-review-data-rotten_tomatoes-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[cornell-movie-review-data/rotten_tomatoes](https://huggingface.co/datasets/cornell-movie-review-data/rotten_tomatoes)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept... | 0 | 0 | [
"license:other",
"region:us",
"readymades",
"art",
"shuffled",
"duchamp"
] | 2025-11-12T11:11:00+00:00 | 2025-11-12T11:11:02+00:00 | 0 |
DenisKochetov/APTv2 | # [APTv2 Dataset](https://github.com/ViTAE-Transformer/APTv2)
**APTv2** is a large-scale benchmark for **animal pose estimation and tracking** across 30 species.
It provides high-quality **keypoint** and **tracking annotations** for 84,611 animal instances spanning **2,749 video clips** (41,235 frames total).
### 📦 ... | # [APTv2 Dataset](https://github.com/ViTAE-Transformer/APTv2)
**APTv2** is a large-scale benchmark for **animal pose estimation and tracking** across 30 species.
It provides high-quality **keypoint** and **tracking annotations** for 84,611 animal instances spanning **2,749 video clips** (41,235 frames total).
### 📦 ... | 9 | 1 | [
"license:apache-2.0",
"arxiv:2312.15612",
"region:us"
] | 2025-11-11T09:31:56+00:00 | 2025-11-12T11:12:03+00:00 | 1 |
kimhyun119/dna2aa-demo |
# DNA → Amino Acid Translation Dataset
### Description
This dataset contains randomly generated DNA sequences (A, C, G, T)
and their amino-acid translations using the standard genetic code.
It is suitable for Seq2Seq learning and translation model training.
### Dataset Structure
- **Fields**
- `src`: input DNA seq... |
# DNA → Amino Acid Translation Dataset
### Description
This dataset contains randomly generated DNA sequences (A, C, G, T)
and their amino-acid translations using the standard genetic code.
It is suitable for Seq2Seq learning and translation model training.
### Dataset Structure
- **Fields**
- `src`: input DNA seq... | 0 | 0 | [
"language:en",
"license:mit",
"region:us"
] | 2025-11-12T11:04:35+00:00 | 2025-11-12T11:09:16+00:00 | 0 |
radiance-nt/task-debug |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## 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",
... | 96 | 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"
] | 2025-10-16T07:39:32+00:00 | 2025-11-12T11:09:18+00:00 | 0 |
whiskwhite/leetcode-complete |
# Complete LeetCode Problems Dataset
This dataset contains a comprehensive collection of LeetCode problems (including premium) with AI-generated solutions in JSONL format. It is regularly updated to include new problems as they are added to LeetCode.
## Dataset Description
The dataset consists of coding prob... |
# Complete LeetCode Problems Dataset
This dataset contains a comprehensive collection of LeetCode problems (including premium) with AI-generated solutions in JSONL format. It is regularly updated to include new problems as they are added to LeetCode.
## Dataset Description
The dataset consists of coding prob... | 136 | 1 | [
"task_categories:text-generation",
"language:en",
"license:unknown",
"size_categories:1K<n<10K",
"format:json",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"leetcode",
"code",
"coding"
] | 2025-05-29T21:04:06+00:00 | 2025-11-12T11:02:13+00:00 | 0 |
AutoML-org/SyntheticCode-800K |
# Combined Synthetic Instruction–Reasoning–Code–Test Dataset
This dataset accompanies the NeurIPS 2025 DL4C Workshop paper
**[“Increasing LLM Coding Capabilities through Diverse Synthetic Coding Tasks”](https://arxiv.org/pdf/2510.23208)**
by *Amal Abed, Ivan Lukic, Jörg K.H. Franke, and Frank Hutter.*
It conta... |
# Combined Synthetic Instruction–Reasoning–Code–Test Dataset
This dataset accompanies the NeurIPS 2025 DL4C Workshop paper
**[“Increasing LLM Coding Capabilities through Diverse Synthetic Coding Tasks”](https://arxiv.org/pdf/2510.23208)**
by *Amal Abed, Ivan Lukic, Jörg K.H. Franke, and Frank Hutter.*
It conta... | 0 | 1 | [
"arxiv:2510.23208",
"region:us"
] | 2025-11-12T08:57:20+00:00 | 2025-11-12T10:56:00+00:00 | 1 |
kelvinzhaozg/digit3a_hardware_door_open_rgb_dataset |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 98 | 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"
] | 2025-10-12T16:40:18+00:00 | 2025-11-12T10:50:17+00:00 | 0 |
Yuwh07/MSLR-Bench |
# MSLR: Multi-Step-Reasoning-Trace Chinese Multi-Step Legal Reasoning Benchmark Dataset
[![OpenReview](https://img.shields.io/badge/View%20on%20OpenReview-8C1B13?labelColor=gray&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAB8AAAAgCAYAAADqgqNBAAAACXBIWXMAABMYAAATGAHPrZVxAAAAGXRFWHRTb2Z0d2FyZQB3d3cuaW5rc2NhcGUub... |
# MSLR: Multi-Step-Reasoning-Trace Chinese Multi-Step Legal Reasoning Benchmark Dataset
[![OpenReview](https://img.shields.io/badge/View%20on%20OpenReview-8C1B13?labelColor=gray&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAB8AAAAgCAYAAADqgqNBAAAACXBIWXMAABMYAAATGAHPrZVxAAAAGXRFWHRTb2Z0d2FyZQB3d3cuaW5rc2NhcGUub... | 13 | 0 | [
"language:zh",
"license:mit",
"arxiv:2511.07979",
"region:us",
"dataset"
] | 2025-11-11T06:17:41+00:00 | 2025-11-12T10:49:09+00:00 | 0 |
PUTH2025/Bones_and_Joints_Benchmark | # The Bones and Joints Benchmark
# Dataset Overview
We have developed a specialized dataset focused on musculoskeletal disorders, designed to systematically evaluate the clinical capabilities of visual language models (VLMs). The evaluation covers knowledge recall, clinical note interpretation, radiology image interp... | # The Bones and Joints Benchmark
# Dataset Overview
We have developed a specialized dataset focused on musculoskeletal disorders, designed to systematically evaluate the clinical capabilities of visual language models (VLMs). The evaluation covers knowledge recall, clinical note interpretation, radiology image interp... | 2 | 0 | [
"task_categories:question-answering",
"task_categories:text-generation",
"license:apache-2.0",
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"library:datasets",
"library:mlcroissant",
"region:us",
"medical"
] | 2025-11-12T03:01:18+00:00 | 2025-11-12T10:50:30+00:00 | 0 |
tamarabanaim/facebook-users-data | **Facebook Users Engagement Analysis**
**Video Presentation-**
2–3 minute summary video explaining the dataset, visualizations, and key insights.
🔗 [Watch the video here](PASTE_YOUR_VIDEO_LINK_HERE)
**Project Overview-**
This project explores the Pseudo Facebook Dataset from Kaggle.
The goal was to perform Ex... | **Facebook Users Engagement Analysis**
**Video Presentation-**
2–3 minute summary video explaining the dataset, visualizations, and key insights.
🔗 [Watch the video here](PASTE_YOUR_VIDEO_LINK_HERE)
**Project Overview-**
This project explores the Pseudo Facebook Dataset from Kaggle.
The goal was to perform Ex... | 7 | 0 | [
"size_categories:10K<n<100K",
"format:csv",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T15:10:09+00:00 | 2025-11-12T10:40:32+00:00 | 0 |
TheFactoryX/edition_0332_argilla-databricks-dolly-15k-curated-en-readymade |
# edition_0332_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_0332_argilla-databricks-dolly-15k-curated-en-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[argilla/databricks-dolly-15k-curated-en](https://huggingface.co/datasets/argilla/databricks-dolly-15k-curated-en)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of ta... | 0 | 0 | [
"license:other",
"region:us",
"readymades",
"art",
"shuffled",
"duchamp"
] | 2025-11-12T10:39:58+00:00 | 2025-11-12T10:39:59+00:00 | 0 |
Swastik09089/dlgenai-nppe-dataset | ---
annotations_creators:
- student
language:
- en
license: mit
multilinguality: monolingual
size_categories:
- 10K<n<100K
source_datasets:
- kaggle/sep-25-dl-gen-ai-nppe-1
task_categories:
- image-classification
- regression
task_ids:
- age-prediction
- gender-classification
pretty_name: DL GenAI NPPE Face Dataset
---... | # DL GenAI NPPE - Face Dataset
This dataset mirrors the Kaggle dataset used in the DL GenAI NPPE project:
**Source:** `/kaggle/input/sep-25-dl-gen-ai-nppe-1/face_dataset`
**Contents:**
- `train/` and `test/` image folders
- `train.csv` and `test.csv` metadata files
Used for age (regression) and gender (class... | 0 | 0 | [
"license:mit",
"region:us"
] | 2025-11-12T10:27:15+00:00 | 2025-11-12T10:33:31+00:00 | 0 |
Harmonic-Frontier-Audio/Kalimba_Preview |
# Harmonic Frontier Audio – Kalimba (Preview, v0.9)
**A high-fidelity world instrument dataset designed for AI training, music research, and creative sound development.**
**Kalimba (Preview)**, created by **Harmonic Frontier Audio**, provides a compact reference set demonstrati... |
# Harmonic Frontier Audio – Kalimba (Preview, v0.9)
**A high-fidelity world instrument dataset designed for AI training, music research, and creative sound development.**
**Kalimba (Preview)**, created by **Harmonic Frontier Audio**, provides a compact reference set demonstrati... | 0 | 0 | [
"task_categories:other",
"language:und",
"license:cc-by-nc-4.0",
"size_categories:n<1K",
"format:audiofolder",
"modality:audio",
"library:datasets",
"library:mlcroissant",
"region:us",
"audio",
"music",
"dataset",
"kalimba",
"mbira",
"thumb_piano",
"world_music",
"folk_instruments",
... | 2025-11-12T10:20:11+00:00 | 2025-11-12T10:25:53+00:00 | 0 |
AHegai/white_box_and_grey_foam |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T10:25:19+00:00 | 2025-11-12T10:25:37+00:00 | 0 |
d-michail/firecastnet-artifacts |
# FireCastNet Artifacts
Artifacts (checkpoints + predictions) repository related to `FireCastNet`.
See https://github.com/seasfire/firecastnet/ for more details .
|
# FireCastNet Artifacts
Artifacts (checkpoints + predictions) repository related to `FireCastNet`.
See https://github.com/seasfire/firecastnet/ for more details .
| 92 | 0 | [
"license:apache-2.0",
"region:us"
] | 2024-11-08T06:10:15+00:00 | 2025-11-12T10:18:58+00:00 | 0 |
WillMandil001/libero_spatial_D_small |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:image",
"modality:timeseries",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot",
"libero",
"panda"
] | 2025-11-12T10:09:00+00:00 | 2025-11-12T10:09:56+00:00 | 0 |
griffinlabs-cortexai/12112025-afternoon |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- Trash Items: plastic cup, oatside drink packet, tissue, toilet roll, peanut butteer wrapper, plastic cup lid
- Non-trash items: 1 Hand soap bottle (Dettol) and 1 freshener
- Variations: single arm episodes (2,3... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- Trash Items: plastic cup, oatside drink packet, tissue, toilet roll, peanut butteer wrapper, plastic cup lid
- Non-trash items: 1 Hand soap bottle (Dettol) and 1 freshener
- Variations: single arm episodes (2,3... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T08:12:03+00:00 | 2025-11-12T10:05:50+00:00 | 0 |
jo-mengr/cellxgene_pseudo_bulk_200k_normlog_multiplets_natural_language_annotation |
## Description
This dataset contains a representation of **RNA sequencing data** and text descriptions.
Dataset type: multiplets (suitable for relevant contrastive-learning or inference tasks).
**Cell Sentence Length**: The cell sentences in this dataset have a length of $cs_length genes.
The **RNA sequencing data*... |
## Description
This dataset contains a representation of **RNA sequencing data** and text descriptions.
Dataset type: multiplets (suitable for relevant contrastive-learning or inference tasks).
**Cell Sentence Length**: The cell sentences in this dataset have a length of $cs_length genes.
The **RNA sequencing data*... | 0 | 0 | [
"task_categories:zero-shot-classification",
"language:code",
"license:mit",
"size_categories:100K<n<1M",
"format:parquet",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"multimodal",
"omics",
"sentence-transformers",
"anndata"
... | 2025-11-12T10:03:11+00:00 | 2025-11-12T10:05:17+00:00 | 0 |
proxectonos/nos_gl_CC0 | **Click [here](https://huggingface.co/datasets/proxectonos/nos_gl_CC0/blob/main/README_English.md) for English version**
**nos_gl_CC0**
Frases con licenza libre (CC0) en galego, recollidas polo Proxecto Nós co fin de alimentar o corpus textual de [Mozilla Common Voice](https://commonvoice.mozilla.org/gl).
As frases ... | **Click [here](https://huggingface.co/datasets/proxectonos/nos_gl_CC0/blob/main/README_English.md) for English version**
**nos_gl_CC0**
Frases con licenza libre (CC0) en galego, recollidas polo Proxecto Nós co fin de alimentar o corpus textual de [Mozilla Common Voice](https://commonvoice.mozilla.org/gl).
As frases ... | 18 | 0 | [
"license:cc0-1.0",
"size_categories:100K<n<1M",
"format:text",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us"
] | 2025-04-03T07:38:52+00:00 | 2025-11-12T10:06:10+00:00 | 0 |
TechWolf/vacancy-job-to-skill |
Validation set used for job-to-skill and skill-to-job in the WorkBench paper, please cite:
```bibtex
@misc{delange2025unifiedworkembeddings,
title={Unified Work Embeddings: Contrastive Learning of a Bidirectional Multi-task Ranker},
author={Matthias De Lange and Jens-Joris Decorte and Jeroen Van Hautte},
... |
Validation set used for job-to-skill and skill-to-job in the WorkBench paper, please cite:
```bibtex
@misc{delange2025unifiedworkembeddings,
title={Unified Work Embeddings: Contrastive Learning of a Bidirectional Multi-task Ranker},
author={Matthias De Lange and Jens-Joris Decorte and Jeroen Van Hautte},
... | 129 | 0 | [
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2511.07969",
"region:us"
] | 2025-10-22T09:51:34+00:00 | 2025-11-12T09:54:47+00:00 | 0 |
lilkm/lilkm-pick_cube_octo_qc_fql_newemb_noemb_reembed |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T09:58:15+00:00 | 2025-11-12T09:58:18+00:00 | 0 |
AshwinKM2005/NcertK12Math-LBT |
# NcertK12Math-LBT
This dataset contains "Learning by Teaching" (LBT) splits (`train`, `exam`, `test`)
for the `AshwinKM2005/NcertK12Math` dataset, generated using semantic search.
- **Source Dataset:** `AshwinKM2005/NcertK12Math`
- **Embedding Model:** `google/embeddinggemma-300m`
## 📚 Dataset Structure
This dat... |
# NcertK12Math-LBT
This dataset contains "Learning by Teaching" (LBT) splits (`train`, `exam`, `test`)
for the `AshwinKM2005/NcertK12Math` dataset, generated using semantic search.
- **Source Dataset:** `AshwinKM2005/NcertK12Math`
- **Embedding Model:** `google/embeddinggemma-300m`
## 📚 Dataset Structure
This dat... | 0 | 0 | [
"task_categories:question-answering",
"annotations_creators:machine-generated",
"language:en",
"license:mit",
"size_categories:10K<n<100K",
"region:us",
"education",
"lbt",
"mathematics",
"qa",
"reasoning",
"semantic-search"
] | 2025-11-12T09:43:37+00:00 | 2025-11-12T09:55:54+00:00 | 0 |
hinoarashi/Three_plate |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T09:53:14+00:00 | 2025-11-12T09:53:26+00:00 | 0 |
Rashikr/aimaks | The Project Gutenberg eBook of Amore nell'arte
This ebook is for the use of anyone anywhere in the United States and most other parts of the world at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this ebook o... | The Project Gutenberg eBook of Amore nell'arte
This ebook is for the use of anyone anywhere in the United States and most other parts of the world at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this ebook o... | 20 | 0 | [
"size_categories:1K<n<10K",
"format:text",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us"
] | 2025-10-25T18:48:04+00:00 | 2025-11-12T09:51:49+00:00 | 0 |
lilkm/lilkm-pick_cube_octo_qc_fql_newemb_noemb |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T09:49:00+00:00 | 2025-11-12T09:49:03+00:00 | 0 |
birdsql/mini-interact |
[🌐 Website](https://bird-interact.github.io) • [📄 Paper](https://arxiv.org/abs/2510.05318) • [💻 GitHub](https://github.com/bird-bench/BIRD-Interact) • [🗄️ bird-interact-lite](https://huggingface.co/datasets/birdsql/bird-interact-lite) • [🗄️ bird-interact-full](https://huggingface.co/datasets/birdsql/bird-interact... |
[🌐 Website](https://bird-interact.github.io) • [📄 Paper](https://arxiv.org/abs/2510.05318) • [💻 GitHub](https://github.com/bird-bench/BIRD-Interact) • [🗄️ bird-interact-lite](https://huggingface.co/datasets/birdsql/bird-interact-lite) • [🗄️ bird-interact-full](https://huggingface.co/datasets/birdsql/bird-interact... | 5 | 0 | [
"license:cc-by-sa-4.0",
"size_categories:n<1K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2510.05318",
"region:us",
"text-to-sql",
"database"
] | 2025-11-12T02:32:56+00:00 | 2025-11-12T09:48:01+00:00 | 0 |
Prachikawtikwar1/block |
# block
**This dataset was generated using [phosphobot](https://docs.phospho.ai).**
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot.
To get started in robotics, [get your own phosp... |
# block
**This dataset was generated using [phosphobot](https://docs.phospho.ai).**
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot.
To get started in robotics, [get your own phosp... | 0 | 0 | [
"task_categories:robotics",
"size_categories:n<1K",
"modality:video",
"library:datasets",
"library:mlcroissant",
"region:us",
"phosphobot",
"so100",
"phospho-dk"
] | 2025-11-12T07:12:52+00:00 | 2025-11-12T09:46:05+00:00 | 0 |
TheFactoryX/edition_0331_argilla-databricks-dolly-15k-curated-en-readymade |
# edition_0331_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_0331_argilla-databricks-dolly-15k-curated-en-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[argilla/databricks-dolly-15k-curated-en](https://huggingface.co/datasets/argilla/databricks-dolly-15k-curated-en)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of ta... | 0 | 0 | [
"license:other",
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"readymades",
"art",
"shuffled",
"duchamp"
] | 2025-11-12T09:34:53+00:00 | 2025-11-12T09:34:55+00:00 | 0 |
hyzhang01/GCA_all |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## 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",
... | 18 | 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"
] | 2025-11-07T08:38:37+00:00 | 2025-11-12T09:41:29+00:00 | 0 |
hyzhang01/GCA_instruction |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 17 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:image",
"modality:timeseries",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-07T13:41:01+00:00 | 2025-11-12T09:29:45+00:00 | 0 |
disi-unibo-nlp/MathGames |
# 🧮 MathGames
**MathGames** is a novel benchmark of **2,183 high-quality mathematical problems**—both **text-only** and **multimodal**—designed to evaluate **Large Language Models (LLMs)** on open-ended mathematical and logical reasoning tasks.
It accompanies our **EMNLP 2025 Main Track paper**:
📄 [Can Large Lang... |
# 🧮 MathGames
**MathGames** is a novel benchmark of **2,183 high-quality mathematical problems**—both **text-only** and **multimodal**—designed to evaluate **Large Language Models (LLMs)** on open-ended mathematical and logical reasoning tasks.
It accompanies our **EMNLP 2025 Main Track paper**:
📄 [Can Large Lang... | 12 | 1 | [
"task_categories:question-answering",
"language:en",
"size_categories:1K<n<10K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"math",
"reasoning",
"logic"
] | 2025-11-11T15:12:19+00:00 | 2025-11-12T09:29:17+00:00 | 1 |
yangjing0128/AstroChart |
# AstroChart
AstroChart is a comprehensive and challenging benchmark designed to evaluate chart understanding in astronomy. It consists of **560** astronomical charts and **1,890** QA pairs, providing a rigorous testbed for assessing MLLMs’ multimodal reasoning and scientific chart interpretation capabilities.
Thi... |
# AstroChart
AstroChart is a comprehensive and challenging benchmark designed to evaluate chart understanding in astronomy. It consists of **560** astronomical charts and **1,890** QA pairs, providing a rigorous testbed for assessing MLLMs’ multimodal reasoning and scientific chart interpretation capabilities.
Thi... | 85 | 2 | [
"task_categories:visual-question-answering",
"task_categories:question-answering",
"language:en",
"license:cc-by-sa-4.0",
"size_categories:1K<n<10K",
"arxiv:2503.19498",
"region:us",
"chart-reasoning",
"chart-understanding",
"chart-question-answering",
"scientific-chart",
"Astronomy"
] | 2025-03-26T09:00:32+00:00 | 2025-11-12T09:27:51+00:00 | 0 |
tan7271/cubehandover_lightweight_one |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## 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:n<1K",
"format:parquet",
"modality:image",
"modality:timeseries",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot",
"converted",
"panda"
] | 2025-09-11T03:07:39+00:00 | 2025-11-12T09:23:43+00:00 | 0 |
Alkatt/eval_smolvla_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",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T09:17:16+00:00 | 2025-11-12T09:17:27+00:00 | 0 |
jayyucippg/il_gym9 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T09:21:32+00:00 | 2025-11-12T09:21:44+00:00 | 0 |
jayyucippg/il_gym8 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T09:15:15+00:00 | 2025-11-12T09:15:27+00:00 | 0 |
TheFactoryX/edition_0330_open-thoughts-OpenThoughts-114k-readymade |
# edition_0330_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_0330_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... | 0 | 0 | [
"license:other",
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"readymades",
"art",
"shuffled",
"duchamp"
] | 2025-11-12T09:14:43+00:00 | 2025-11-12T09:14:46+00:00 | 0 |
johannesschirrmeister/eval_stone-pick_groot |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## 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:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T12:43:30+00:00 | 2025-11-12T09:13:17+00:00 | 0 |
Homie0609/SoccerBench | Hi all the soccer fans and all those who are interested in our project of **"Multi-Agent System for Comprehensive Soccer Understanding"**, here is the official source of our proposed benchmark **SoccerBench**. This benchmark is the largest and most comprehensive soccer-specific benchmark, featuring around 10K standardi... | Hi all the soccer fans and all those who are interested in our project of **"Multi-Agent System for Comprehensive Soccer Understanding"**, here is the official source of our proposed benchmark **SoccerBench**. This benchmark is the largest and most comprehensive soccer-specific benchmark, featuring around 10K standardi... | 920 | 3 | [
"license:cc-by-nc-sa-4.0",
"size_categories:1K<n<10K",
"library:datasets",
"library:mlcroissant",
"arxiv:2505.03735",
"region:us"
] | 2025-05-13T03:09:11+00:00 | 2025-11-12T09:15:56+00:00 | 2 |
WenxingZhu/vidore_v3_computer_science_embedding |
NOTE
`ViDoRe V3: Computer Science` dataset ColQwen2 Embeddings
This dataset contains pre-computed embeddings for the [ViDoRe V3 : Computer Science](https://huggingface.co/datasets/vidore/vidore_v3_computer_science) dataset using the ColQwen2 model.
<center><h1>ViDoRe V3 : Computer Science</h1></center>
This d... |
NOTE
`ViDoRe V3: Computer Science` dataset ColQwen2 Embeddings
This dataset contains pre-computed embeddings for the [ViDoRe V3 : Computer Science](https://huggingface.co/datasets/vidore/vidore_v3_computer_science) dataset using the ColQwen2 model.
<center><h1>ViDoRe V3 : Computer Science</h1></center>
This d... | 0 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:document",
"modality:tabular",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-12T09:05:58+00:00 | 2025-11-12T09:12:38+00:00 | 0 |
oxe-aug/language_table_train_15000_20000_augmented | # language_table_train_15000_20000_augmented
## Overview
- **Codebase version**: `v2.1`
- **Robots**: google_robot, images, jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e
- **FPS**: 10
- **Episodes**: 5,000
- **Frames**: 79,558
- **Videos**: 40,000
- **Chunks**: 5
- **Splits**:
- `train`: `0:5000`
## Data Layout
`... | # language_table_train_15000_20000_augmented
## Overview
- **Codebase version**: `v2.1`
- **Robots**: google_robot, images, jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e
- **FPS**: 10
- **Episodes**: 5,000
- **Frames**: 79,558
- **Videos**: 40,000
- **Chunks**: 5
- **Splits**:
- `train`: `0:5000`
## Data Layout
`... | 3 | 0 | [
"task_categories:robotics",
"license:cc-by-4.0",
"arxiv:2210.06407",
"region:us",
"robotics",
"lerobot",
"oxe-aug",
"dataset"
] | 2025-11-12T04:36:00+00:00 | 2025-11-12T09:09:32+00:00 | 0 |
sangam-101/so101_pick_place_v5 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T09:02:06+00:00 | 2025-11-12T09:02:27+00:00 | 0 |
vlasil/eval_pi0_base_Put_the_bowl_on_the_plate_random_1112_10 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T08:54:45+00:00 | 2025-11-12T08:55:32+00:00 | 0 |
dlxjj/BallonsTranslator | > [!IMPORTANT]
> **如打算公开分享本工具的机翻结果，且没有有经验的译者进行过完整的翻译或校对，请在显眼位置注明机翻。**
# BallonTranslator
简体中文 | [English](/README_EN.md) | [pt-BR](doc/README_PT-BR.md) | [Русский](doc/README_RU.md) | [日本語](doc/README_JA.md) | [Indonesia](doc/README_ID.md) | [Tiếng Việt](doc/README_VI.md) | [한국어](doc/README_KO.md) | [Español](doc/RE... | > [!IMPORTANT]
> **如打算公开分享本工具的机翻结果，且没有有经验的译者进行过完整的翻译或校对，请在显眼位置注明机翻。**
# BallonTranslator
简体中文 | [English](/README_EN.md) | [pt-BR](doc/README_PT-BR.md) | [Русский](doc/README_RU.md) | [日本語](doc/README_JA.md) | [Indonesia](doc/README_ID.md) | [Tiếng Việt](doc/README_VI.md) | [한국어](doc/README_KO.md) | [Español](doc/RE... | 43 | 0 | [
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"library:datasets",
"library:mlcroissant",
"region:us"
] | 2025-11-05T09:17:54+00:00 | 2025-11-12T08:53:45+00:00 | 0 |
soketlabs/CoSHE-Eval | # 🎙️ CoSHE-Eval: A Code-Switching ASR Benchmark for Hindi–English Speech
## 🧠 Overview
**CoSHE-Eval** is an evaluation dataset curated for testing **Automatic Speech Recognition (ASR)** systems on **Hindi-English code-mixed speech**.It focuses on **bilingual conversational contexts** commonly found in India, where H... | # 🎙️ CoSHE-Eval: A Code-Switching ASR Benchmark for Hindi–English Speech
## 🧠 Overview
**CoSHE-Eval** is an evaluation dataset curated for testing **Automatic Speech Recognition (ASR)** systems on **Hindi-English code-mixed speech**.It focuses on **bilingual conversational contexts** commonly found in India, where H... | 53 | 3 | [
"task_categories:automatic-speech-recognition",
"task_categories:audio-classification",
"language:hi",
"language:en",
"license:cc-by-nc-4.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:audio",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:p... | 2025-11-04T10:06:37+00:00 | 2025-11-12T08:51:28+00:00 | 3 |
nimiCurtis/test_01_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": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T08:51:46+00:00 | 2025-11-12T08:51:51+00:00 | 0 |
jayyucippg/il_gym5 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T08:51:18+00:00 | 2025-11-12T08:51:31+00:00 | 0 |
TheFactoryX/edition_0329_lavita-medical-qa-shared-task-v1-toy-readymade |
# edition_0329_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_0329_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... | 0 | 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"
] | 2025-11-12T08:47:35+00:00 | 2025-11-12T08:47:37+00:00 | 0 |
roboseasy/Pick_up_a_sock_and_place_it_in_the_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": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T08:30:44+00:00 | 2025-11-12T08:31:21+00:00 | 0 |
sangam-101/so101_pick_place_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",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T08:30:36+00:00 | 2025-11-12T08:31:02+00:00 | 0 |
radiance-nt/place-20251112-162519 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T08:25:34+00:00 | 2025-11-12T08:25:37+00:00 | 0 |
rafsanrraayan/dna2aa-demo | # DNA → Amino Acid Translation Dataset
## Summary
This dataset contains 360 synthetic DNA sequences generated for a Seq2Seq translation assignment.
Each example is a pair of strings: `src` (DNA composed of A/C/G/T) and `tgt` (amino-acid translation using one-letter codes).
The dataset is split into train (240), valida... | # DNA → Amino Acid Translation Dataset
## Summary
This dataset contains 360 synthetic DNA sequences generated for a Seq2Seq translation assignment.
Each example is a pair of strings: `src` (DNA composed of A/C/G/T) and `tgt` (amino-acid translation using one-letter codes).
The dataset is split into train (240), valida... | 0 | 0 | [
"language:en",
"license:mit",
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-12T06:54:42+00:00 | 2025-11-12T08:25:42+00:00 | 0 |
nimiCurtis/test_01_3 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T08:23:59+00:00 | 2025-11-12T08:24:11+00:00 | 0 |
radiance-nt/place-20251112-162424 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T08:24:43+00:00 | 2025-11-12T08:24:46+00:00 | 0 |
yuto-urushima/pick_and_place_red_50_b3 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T08:18:32+00:00 | 2025-11-12T08:18:58+00:00 | 0 |
skku-autolab/TSBOW | # TSBOW – Traffic Surveillance Benchmark for Occluded Vehicles Under VariousWeather Conditions
(UPDATEING....)
(All links would be updated in the day of conference)
## Introduction
## Citation
| # TSBOW – Traffic Surveillance Benchmark for Occluded Vehicles Under VariousWeather Conditions
(UPDATEING....)
(All links would be updated in the day of conference)
## Introduction
## Citation
| 0 | 1 | [
"region:us"
] | 2025-11-12T08:12:49+00:00 | 2025-11-12T08:14:51+00:00 | 1 |
nimiCurtis/test_01_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": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T08:22:33+00:00 | 2025-11-12T08:22:35+00:00 | 0 |
bisectgroup/hard-negatives-traversal |
#### If our work was helpful conside citing us ☺️
```bibtext
@misc{sinha2025bicaeffectivebiomedicaldense,
title={BiCA: Effective Biomedical Dense Retrieval with Citation-Aware Hard Negatives},
author={Aarush Sinha and Pavan Kumar S and Roshan Balaji and Nirav Pravinbhai Bhatt},
year={2025},
e... |
#### If our work was helpful conside citing us ☺️
```bibtext
@misc{sinha2025bicaeffectivebiomedicaldense,
title={BiCA: Effective Biomedical Dense Retrieval with Citation-Aware Hard Negatives},
author={Aarush Sinha and Pavan Kumar S and Roshan Balaji and Nirav Pravinbhai Bhatt},
year={2025},
e... | 5 | 0 | [
"task_categories:text-classification",
"task_categories:zero-shot-classification",
"task_categories:sentence-similarity",
"task_categories:text-retrieval",
"task_categories:text-ranking",
"language:en",
"size_categories:10K<n<100K",
"format:json",
"modality:text",
"library:datasets",
"library:pa... | 2025-07-22T05:21:37+00:00 | 2025-11-12T08:12:22+00:00 | 0 |
yasalma/tt-structured-content | ## Dataset Summary
This dataset contains structured textual content in Markdown format extracted from Tatar-language documents, originally in EPUB and PDF formats. The documents include books and other long-form content with rich formatting. The dataset is intended to provide clean, structured, and semantically meanin... | ## Dataset Summary
This dataset contains structured textual content in Markdown format extracted from Tatar-language documents, originally in EPUB and PDF formats. The documents include books and other long-form content with rich formatting. The dataset is intended to provide clean, structured, and semantically meanin... | 74 | 1 | [
"language:tt",
"license:mit",
"region:us"
] | 2025-06-15T12:00:50+00:00 | 2025-11-12T08:14:39+00:00 | 0 |
yuto-urushima/pick_and_place_red_50_b2 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T08:09:54+00:00 | 2025-11-12T08:10:25+00:00 | 0 |
changliu8541/Assemblage_LinuxELF |
Assemblage Linux Dataset
Please note, the Assemblage code is published under the MIT license, while the dataset specify each binary's source code repository license.
This reposotory holds the Linux public dataset for [Assemblage](https://assemblage-dataset.net/), and you can find the paper [here](https://arxiv.org/a... |
Assemblage Linux Dataset
Please note, the Assemblage code is published under the MIT license, while the dataset specify each binary's source code repository license.
This reposotory holds the Linux public dataset for [Assemblage](https://assemblage-dataset.net/), and you can find the paper [here](https://arxiv.org/a... | 75 | 2 | [
"license:other",
"arxiv:2405.03991",
"region:us"
] | 2024-05-08T19:47:57+00:00 | 2025-11-12T08:13:38+00:00 | 0 |
bisectgroup/2hop-citation-graphs |
#### If our work was helpful conside citing us ☺️
```bibtext
@misc{sinha2025bicaeffectivebiomedicaldense,
title={BiCA: Effective Biomedical Dense Retrieval with Citation-Aware Hard Negatives},
author={Aarush Sinha and Pavan Kumar S and Roshan Balaji and Nirav Pravinbhai Bhatt},
year={2025},
ep... |
#### If our work was helpful conside citing us ☺️
```bibtext
@misc{sinha2025bicaeffectivebiomedicaldense,
title={BiCA: Effective Biomedical Dense Retrieval with Citation-Aware Hard Negatives},
author={Aarush Sinha and Pavan Kumar S and Roshan Balaji and Nirav Pravinbhai Bhatt},
year={2025},
ep... | 9 | 0 | [
"task_categories:zero-shot-classification",
"task_categories:text-classification",
"task_categories:sentence-similarity",
"task_categories:text-ranking",
"task_categories:text-retrieval",
"language:en",
"size_categories:10K<n<100K",
"format:json",
"modality:text",
"library:datasets",
"library:pa... | 2025-07-22T05:20:05+00:00 | 2025-11-12T08:12:05+00:00 | 0 |
johannesschirrmeister/eval_3poses_groot |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## 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"
] | 2025-11-11T11:33:12+00:00 | 2025-11-12T08:14:52+00:00 | 0 |
SleepyShaman123/lift_ur5_robotiq |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## 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:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-10T05:40:50+00:00 | 2025-11-12T08:12:04+00:00 | 0 |
hyzhang01/GCA_a01_SucPar |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:image",
"modality:timeseries",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot",
"robotics",
"franka",
"manipulation",
"pick-an... | 2025-11-12T08:07:05+00:00 | 2025-11-12T08:07:24+00:00 | 0 |
rwkv-app/RWKV-Chat |  |  | 202 | 1 | [
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"library:datasets",
"library:mlcroissant",
"region:us"
] | 2025-05-26T08:00:22+00:00 | 2025-11-12T08:07:07+00:00 | 0 |
yuto-urushima/pick_and_place_red_50_b1 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T08:02:16+00:00 | 2025-11-12T08:02:42+00:00 | 0 |
rishabhrj11/gym-xarm-grab-ds |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T07:56:35+00:00 | 2025-11-12T07:56:39+00:00 | 0 |
brandonyang/droid_120_wrist_embeds |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:image",
"modality:timeseries",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot",
"libero",
"panda",
"rlds"
] | 2025-11-12T07:53:03+00:00 | 2025-11-12T07:56:25+00:00 | 0 |
aixsim/Titan25 |
# Titan25
Titan25 is an MLIP dataset constructed with GAIA.
It comprises 1.8M data points across 11 elements (C, H, N, O, Ag, Au, Cu, Pd, Pt, Rh, Ru),
which supports the development of MLIPs that robustly capture general chemical reactions, including interfacial processes.
To accelerate MLIP training, we recommend con... |
# Titan25
Titan25 is an MLIP dataset constructed with GAIA.
It comprises 1.8M data points across 11 elements (C, H, N, O, Ag, Au, Cu, Pd, Pt, Rh, Ru),
which supports the development of MLIPs that robustly capture general chemical reactions, including interfacial processes.
To accelerate MLIP training, we recommend con... | 40 | 2 | [
"license:cc-by-4.0",
"size_categories:1M<n<10M",
"arxiv:2509.25798",
"region:us",
"MLIP",
"MLFF"
] | 2025-11-06T07:12:55+00:00 | 2025-11-12T07:59:19+00:00 | 2 |
yuto-urushima/pick_and_place_red_50_a3 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T07:53:12+00:00 | 2025-11-12T07:53:39+00:00 | 0 |
administrator895/obsidian | ## 调用
https://huggingface.co/datasets/administrator895/obsidian/resolve/main/{id}.jpg | ## 调用
https://huggingface.co/datasets/administrator895/obsidian/resolve/main/{id}.jpg | 74 | 0 | [
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"library:datasets",
"library:mlcroissant",
"region:us"
] | 2025-09-01T03:09:37+00:00 | 2025-11-12T07:53:51+00:00 | 0 |
TheFactoryX/edition_0328_tatsu-lab-alpaca-readymade |
# edition_0328_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_0328_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... | 0 | 0 | [
"license:other",
"region:us",
"readymades",
"art",
"shuffled",
"duchamp"
] | 2025-11-12T07:48:15+00:00 | 2025-11-12T07:48:17+00:00 | 0 |
sangam-101/so101_pick_place_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": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T05:30:09+00:00 | 2025-11-12T07:48:23+00:00 | 0 |
mlx-community/recycling_the_web-400K |
# Recycling the Web (MLX Subsets)
Paper: [Recycling the Web: A Method to Enhance Pre-training Data Quality and Quantity for Language Models](https://huggingface.co/papers/2506.04689)
This is a **subset** of the [facebook/recycling_the_web](https://huggingface.co/datasets/facebook/recycling_the_web) dataset, prepared... |
# Recycling the Web (MLX Subsets)
Paper: [Recycling the Web: A Method to Enhance Pre-training Data Quality and Quantity for Language Models](https://huggingface.co/papers/2506.04689)
This is a **subset** of the [facebook/recycling_the_web](https://huggingface.co/datasets/facebook/recycling_the_web) dataset, prepared... | 46 | 0 | [
"task_categories:text-generation",
"language:en",
"license:cc-by-nc-4.0",
"size_categories:100K<n<1M",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2506.04689",
"region:us",
"synthetic_data",
"LLM_pretraining",
"... | 2025-09-04T09:42:59+00:00 | 2025-11-12T07:50:39+00:00 | 0 |
error-magnet/eval_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": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T07:46:31+00:00 | 2025-11-12T07:47:14+00:00 | 0 |
chanyo111/xasoss |
# 我的数据集说明
- 因为我很喜欢《红楼梦》这本书，他是中国四大名著之一，在国内外享有很高的声誉，甚至有”中国古今第一奇书“的美誉。此书成于中国古代明末清初，作者署名为“曹学芹”。自书问世以来研究和学习他的人可谓络绎不绝、前仆后继而经久不衰，甚至有人调侃道”开卷不谈红楼梦，读尽读书也枉然“，对于中国人的影响力可见一斑，而且自中国近代以来《红楼梦》成为一种显学，其名曰”红学“。在偶然的情况下我用chatgpt问了他一些关于《红楼梦》的问题，我发现像chatgpt这样具有代表性的ai技术对《红楼梦》知之甚少甚至到了胡编乱造的地步，我为此感觉到很痛心也感觉到很可惜。我以为《红楼梦》是我们人类共同的宝贵财富，其对我们的警示和启发是... |
# 我的数据集说明
- 因为我很喜欢《红楼梦》这本书，他是中国四大名著之一，在国内外享有很高的声誉，甚至有”中国古今第一奇书“的美誉。此书成于中国古代明末清初，作者署名为“曹学芹”。自书问世以来研究和学习他的人可谓络绎不绝、前仆后继而经久不衰，甚至有人调侃道”开卷不谈红楼梦，读尽读书也枉然“，对于中国人的影响力可见一斑，而且自中国近代以来《红楼梦》成为一种显学，其名曰”红学“。在偶然的情况下我用chatgpt问了他一些关于《红楼梦》的问题，我发现像chatgpt这样具有代表性的ai技术对《红楼梦》知之甚少甚至到了胡编乱造的地步，我为此感觉到很痛心也感觉到很可惜。我以为《红楼梦》是我们人类共同的宝贵财富，其对我们的警示和启发是... | 106 | 0 | [
"license:cc-by-4.0",
"size_categories:n<1K",
"format:json",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"region:us"
] | 2025-10-08T07:57:08+00:00 | 2025-11-12T07:46:59+00:00 | 0 |
Mobiusi/th_CoT_10K |
## Dataset Summary
The **Thai Language QA CoT Dataset** is a curated collection of Thai-language exam questions focusing on Thai grammar, vocabulary, and linguistic structure.
Each entry provides a well-structured question, the correct answer, an explanation grounded in Thai linguistic rules, and the related knowled... |
## Dataset Summary
The **Thai Language QA CoT Dataset** is a curated collection of Thai-language exam questions focusing on Thai grammar, vocabulary, and linguistic structure.
Each entry provides a well-structured question, the correct answer, an explanation grounded in Thai linguistic rules, and the related knowled... | 0 | 0 | [
"task_categories:text-generation",
"task_categories:question-answering",
"language:th",
"license:cc-by-nc-4.0",
"size_categories:n<1K",
"format:json",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"region:us",
"CoT"
] | 2025-11-12T07:43:22+00:00 | 2025-11-12T07:45:33+00:00 | 0 |
matonski/reward-hacking-prompts |
# Reward Hacking Prompts Dataset
A dataset of 50 computational task prompts designed to elicit reward hacking behavior in GPT-OSS-20B.
## Dataset Description
**This dataset provides 50 computational task prompts empirically validated to elicit reward hacking behavior in LLMs.**
Reward hacking occurs when models fi... |
# Reward Hacking Prompts Dataset
A dataset of 50 computational task prompts designed to elicit reward hacking behavior in GPT-OSS-20B.
## Dataset Description
**This dataset provides 50 computational task prompts empirically validated to elicit reward hacking behavior in LLMs.**
Reward hacking occurs when models fi... | 20 | 0 | [
"task_categories:text-generation",
"task_categories:text-classification",
"language:en",
"license:mit",
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"ai-safety",
"reward-hacking",
"m... | 2025-11-10T12:06:46+00:00 | 2025-11-12T07:43:38+00:00 | 0 |
yuto-urushima/pick_and_place_red_50_a2 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T07:44:01+00:00 | 2025-11-12T07:44:30+00:00 | 0 |
zionia/isizulu-asr-specaugment |
# isiZulu Speech Recognition Augmented Dataset - SpecAugment
## Dataset Description
This dataset contains augmented speech recordings and transcriptions for isiZulu, one of South Africa's official languages.
The dataset has been optimized for use with OpenAI's Whisper ASR models.
## Dataset Statistics
- **Number o... |
# isiZulu Speech Recognition Augmented Dataset - SpecAugment
## Dataset Description
This dataset contains augmented speech recordings and transcriptions for isiZulu, one of South Africa's official languages.
The dataset has been optimized for use with OpenAI's Whisper ASR models.
## Dataset Statistics
- **Number o... | 28 | 0 | [
"task_categories:automatic-speech-recognition",
"language:zu",
"language:xh",
"language:nr",
"language:nso",
"language:st",
"language:ss",
"language:tn",
"language:ts",
"language:ve",
"license:mit",
"size_categories:n<1K",
"format:parquet",
"modality:audio",
"modality:text",
"library:d... | 2025-11-12T07:37:42+00:00 | 2025-11-12T07:40:28+00:00 | 0 |
NekoZhang/grapcube-test2 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T07:34:51+00:00 | 2025-11-12T07:35:04+00:00 | 0 |
Yoav-omer/yoav-nba-draft-analysis | # NBA Draft Data Analysis (1989–2021)
## Project Overview
In this project, I analyzed NBA Draft data from 1989 to 2021.
The main goal was to understand what makes a player a **Top 10 draft pick**,
and whether those players are really better than the rest.
---
## Step 1 – Data Cleaning
Before starting the analysi... | # NBA Draft Data Analysis (1989–2021)
## Project Overview
In this project, I analyzed NBA Draft data from 1989 to 2021.
The main goal was to understand what makes a player a **Top 10 draft pick**,
and whether those players are really better than the rest.
---
## Step 1 – Data Cleaning
Before starting the analysi... | 0 | 0 | [
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"library:datasets",
"library:mlcroissant",
"region:us"
] | 2025-11-12T06:23:15+00:00 | 2025-11-12T07:33:02+00:00 | 0 |
yuto-urushima/pick_and_place_red_50_d1 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T07:31:21+00:00 | 2025-11-12T07:31:56+00:00 | 0 |
NekoZhang/grapcube-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",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T07:27:32+00:00 | 2025-11-12T07:27:59+00:00 | 0 |
bootscoder/Medical-ChatBot-SFT | # SFT (Supervised Fine-Tuning) 数据集
## 数据集概述
本数据集用于 LLaMA-8B 模型的监督微调（Supervised Fine-Tuning, SFT），将基座模型或 CPT 模型训练成对话助手。数据集包含 **191,760 条样本**，按照 **30% 通用对话 + 70% 医疗问答** 的比例混合，覆盖通用指令跟随和医疗专业问答。
## 数据来源与处理
### 1. Alpaca 中文指令数据 (shibing624/alpaca-zh)
- **原始数据量**: 51,760 条
- **采样数量**: 51,760 条（全量）
- **来源**: [shibing624/al... | # SFT (Supervised Fine-Tuning) 数据集
## 数据集概述
本数据集用于 LLaMA-8B 模型的监督微调（Supervised Fine-Tuning, SFT），将基座模型或 CPT 模型训练成对话助手。数据集包含 **191,760 条样本**，按照 **30% 通用对话 + 70% 医疗问答** 的比例混合，覆盖通用指令跟随和医疗专业问答。
## 数据来源与处理
### 1. Alpaca 中文指令数据 (shibing624/alpaca-zh)
- **原始数据量**: 51,760 条
- **采样数量**: 51,760 条（全量）
- **来源**: [shibing624/al... | 10 | 0 | [
"size_categories:100K<n<1M",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-01T14:06:29+00:00 | 2025-11-12T07:21:30+00:00 | 0 |
HCHoongChing/griffin-test7 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T06:55:02+00:00 | 2025-11-12T07:21:53+00:00 | 0 |
taoszhang/MMhops-R1 | MMhops-R1: Multimodal Multi-hop Reasoning | MMhops-R1: Multimodal Multi-hop Reasoning | 0 | 0 | [
"license:apache-2.0",
"region:us"
] | 2025-11-12T07:20:31+00:00 | 2025-11-12T07:26:17+00:00 | 0 |
berobemin/record-test2 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## 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",
... | 10 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T02:56:37+00:00 | 2025-11-12T07:20:25+00:00 | 0 |
JiahuiGengNLP/MMCoIR-test |
# MMCoIR-test Dataset
这是数据集的描述...
## Dataset Structure
... |
# MMCoIR-test Dataset
这是数据集的描述...
## Dataset Structure
... | 266 | 0 | [
"size_categories:10K<n<100K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-10-28T17:12:51+00:00 | 2025-11-12T07:25:41+00:00 | 0 |
JiahuiGengNLP/MMCoIR-train |
# MMCoIR-train Dataset
这是数据集的描述...
## Dataset Structure
... |
# MMCoIR-train Dataset
这是数据集的描述...
## Dataset Structure
... | 278 | 1 | [
"size_categories:1M<n<10M",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-10-28T17:10:38+00:00 | 2025-11-12T07:25:39+00:00 | 0 |
bootscoder/Medical-ChatBot-CPT | # CPT (Continual Pre-Training) 数据集
## 数据集概述
本数据集用于 LLaMA-8B 模型的继续预训练（Continual Pre-Training, CPT），旨在让通用大模型适应医疗领域。数据集包含 **200,000 条样本**，按照 **70% 通用语料 + 30% 医疗语料** 的比例混合，覆盖中英文维基百科和医疗专业文本。
## 数据来源与处理
### 1. Wikipedia 英文 (wikimedia/wikipedia)
- **原始数据量**: 6,407,814 条
- **采样数量**: 70,000 条
- **来源**: [wikimedia/wikipedia ... | # CPT (Continual Pre-Training) 数据集
## 数据集概述
本数据集用于 LLaMA-8B 模型的继续预训练（Continual Pre-Training, CPT），旨在让通用大模型适应医疗领域。数据集包含 **200,000 条样本**，按照 **70% 通用语料 + 30% 医疗语料** 的比例混合，覆盖中英文维基百科和医疗专业文本。
## 数据来源与处理
### 1. Wikipedia 英文 (wikimedia/wikipedia)
- **原始数据量**: 6,407,814 条
- **采样数量**: 70,000 条
- **来源**: [wikimedia/wikipedia ... | 12 | 0 | [
"size_categories:100K<n<1M",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-01T13:24:09+00:00 | 2025-11-12T07:20:25+00:00 | 0 |
yuto-urushima/pick_and_place_red_50_d4 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-12T07:18:52+00:00 | 2025-11-12T07:19:22+00:00 | 0 |
bootscoder/Medical-ChatBot-DPO | # Medical-ChatBot-DPO 数据集
## 数据集概述
本数据集是一个用于 DPO (Direct Preference Optimization) 训练的偏好对齐数据集，专门为医疗对话机器人设计。数据集包含 **40,672 条样本**，融合了通用对话安全性、人类偏好对齐和医疗领域专业知识。
## 数据来源与处理
### 1. Anthropic/hh-rlhf (harmless-base)
- **数据量**: 10,000 条
- **来源**: [Anthropic/hh-rlhf](https://huggingface.co/datasets/Anthropic/hh-rlhf)
- **子集**... | # Medical-ChatBot-DPO 数据集
## 数据集概述
本数据集是一个用于 DPO (Direct Preference Optimization) 训练的偏好对齐数据集，专门为医疗对话机器人设计。数据集包含 **40,672 条样本**，融合了通用对话安全性、人类偏好对齐和医疗领域专业知识。
## 数据来源与处理
### 1. Anthropic/hh-rlhf (harmless-base)
- **数据量**: 10,000 条
- **来源**: [Anthropic/hh-rlhf](https://huggingface.co/datasets/Anthropic/hh-rlhf)
- **子集**... | 12 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2304.00729",
"region:us"
] | 2025-11-01T17:45:32+00:00 | 2025-11-12T07:15:39+00:00 | 0 |
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