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 |
|---|---|---|---|---|---|---|---|---|
anthnykr/merged-test-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": "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... | 56 | 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"
] | 2025-11-11T10:45:03+00:00 | 2025-11-11T10:45:07+00:00 | 0 |
unreal/bobiwine |
# Bobi Wine Luganda Speech
This dataset contains short Luganda speech clips segmented from longer recordings, with corresponding transcriptions in Luganda.
It is intended for Text-to-Speech (TTS) research and prototyping.
## Contents
- `wavs/`: 250 WAV clips (`22050 Hz` recommended for TTS pipelines)
- `metadata.csv... |
# Bobi Wine Luganda Speech
This dataset contains short Luganda speech clips segmented from longer recordings, with corresponding transcriptions in Luganda.
It is intended for Text-to-Speech (TTS) research and prototyping.
## Contents
- `wavs/`: 250 WAV clips (`22050 Hz` recommended for TTS pipelines)
- `metadata.csv... | 39 | 0 | [
"task_categories:text-to-speech",
"language:lg",
"license:unknown",
"size_categories:n<1K",
"format:parquet",
"modality:audio",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"luganda",
"uganda",
"speech",
"tts"
] | 2025-11-11T09:02:13+00:00 | 2025-11-11T10:36:32+00:00 | 0 |
Maffffffffy/mafrin07_dlgenai-nppe-dataset |
# 🧠 DL & GenAI NPPE 1 – Age & Gender Prediction Dataset
This dataset is linked to the project **[Maffffffffy/mafrin07_dlgenai-nppe](https://huggingface.co/spaces/Maffffffffy/mafrin07_dlgenai-nppe)** on Hugging Face Spaces.
It serves as the backing dataset for model inference and TrackIO logging for the **Deep Lear... |
# 🧠 DL & GenAI NPPE 1 – Age & Gender Prediction Dataset
This dataset is linked to the project **[Maffffffffy/mafrin07_dlgenai-nppe](https://huggingface.co/spaces/Maffffffffy/mafrin07_dlgenai-nppe)** on Hugging Face Spaces.
It serves as the backing dataset for model inference and TrackIO logging for the **Deep Lear... | 5 | 0 | [
"task_categories:image-classification",
"language:en",
"size_categories:1K<n<10K",
"region:us",
"code"
] | 2025-11-11T10:21:19+00:00 | 2025-11-11T10:33:42+00:00 | 0 |
oxe-aug/language_table_train_130000_135000_augmented | # language_table_train_130000_135000_augmented
## Overview
- **Codebase version**: `v2.1`
- **Robots**: google_robot, images, jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e
- **FPS**: 10
- **Episodes**: 5,000
- **Frames**: 79,357
- **Videos**: 40,000
- **Chunks**: 5
- **Splits**:
- `train`: `0:5000`
## Data Layout
... | # language_table_train_130000_135000_augmented
## Overview
- **Codebase version**: `v2.1`
- **Robots**: google_robot, images, jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e
- **FPS**: 10
- **Episodes**: 5,000
- **Frames**: 79,357
- **Videos**: 40,000
- **Chunks**: 5
- **Splits**:
- `train`: `0:5000`
## Data Layout
... | 308 | 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... | 2025-11-10T21:26:00+00:00 | 2025-11-11T10:24:35+00:00 | 0 |
viktoroo/WildChat-1M-sampled-for-message-classification | # Dataset Card for WildChat
## Dataset Description
- **Original Dataset:** https://huggingface.co/datasets/allenai/WildChat-1M
- **Paper:** https://arxiv.org/abs/2405.01470
- **Interactive Search Tool:** https://wildvisualizer.com
- **License:** [ODC-BY](https://opendatacommons.org/licenses/by/1-0/)
- **Language(... | # Dataset Card for WildChat
## Dataset Description
- **Original Dataset:** https://huggingface.co/datasets/allenai/WildChat-1M
- **Paper:** https://arxiv.org/abs/2405.01470
- **Interactive Search Tool:** https://wildvisualizer.com
- **License:** [ODC-BY](https://opendatacommons.org/licenses/by/1-0/)
- **Language(... | 158 | 0 | [
"task_categories:text-classification",
"license:odc-by",
"size_categories:100K<n<1M",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"arxiv:2405.01470",
"arxiv:2409.03753",
"region:us",
"user-message-class... | 2025-10-21T12:38:52+00:00 | 2025-11-11T10:32:51+00:00 | 0 |
emix-1/unbound009_2_tran |
# emix-1/unbound009_2_tran
This dataset contains transcribed audio files organized in folders for scalability.
## Dataset Structure
The dataset is organized with:
- **Audio files**: Stored in `audio_XXXXX/` folders (5000 files per folder)
- **Metadata**: Stored in `data_XXXXX/` folders as parquet files
This organi... |
# emix-1/unbound009_2_tran
This dataset contains transcribed audio files organized in folders for scalability.
## Dataset Structure
The dataset is organized with:
- **Audio files**: Stored in `audio_XXXXX/` folders (5000 files per folder)
- **Metadata**: Stored in `data_XXXXX/` folders as parquet files
This organi... | 504 | 0 | [
"task_categories:automatic-speech-recognition",
"language:am",
"language:multilingual",
"license:mit",
"size_categories:10K<n<100K",
"format:audiofolder",
"modality:audio",
"library:datasets",
"library:mlcroissant",
"region:us"
] | 2025-11-10T21:13:48+00:00 | 2025-11-11T10:28:11+00:00 | 0 |
doem1997/cs701-course-data | # CS701 Course Project Dataset
For task "ViT Model Adaptation"
## Overview
This is an anonymized image classification dataset containing 10,000 classes.
## Dataset Statistics
- **Number of classes**: 10,000
- **Training samples**: 450,000 (45 per class, with labels)
- **Validation samples**: 50,000 (5 per class, **w... | # CS701 Course Project Dataset
For task "ViT Model Adaptation"
## Overview
This is an anonymized image classification dataset containing 10,000 classes.
## Dataset Statistics
- **Number of classes**: 10,000
- **Training samples**: 450,000 (45 per class, with labels)
- **Validation samples**: 50,000 (5 per class, **w... | 354 | 0 | [
"region:us"
] | 2025-10-02T04:55:58+00:00 | 2025-11-11T10:18:36+00:00 | 0 |
TheFactoryX/edition_0304_argilla-databricks-dolly-15k-curated-en-readymade |
# edition_0304_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_0304_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... | 6 | 0 | [
"license:other",
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"readymades",
"art",
"shuffled",
"duchamp"
] | 2025-11-11T10:14:31+00:00 | 2025-11-11T10:14:33+00:00 | 0 |
licyk/image_training_set | 自用的训练集合集，用于 Stable Diffusion 模型微调。
**该仓库仅用于存档，不提供任何技术支持。** | 自用的训练集合集，用于 Stable Diffusion 模型微调。
**该仓库仅用于存档，不提供任何技术支持。** | 3,115 | 1 | [
"size_categories:n<1K",
"format:text",
"modality:image",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us"
] | 2024-05-01T13:25:21+00:00 | 2025-11-11T10:17:12+00:00 | 0 |
mteb/BrazilianToxicTweetsClassification | <!-- adapted from https://github.com/huggingface/huggingface_hub/blob/v0.30.2/src/huggingface_hub/templates/datasetcard_template.md -->
<div align="center" style="padding: 40px 20px; background-color: white; border-radius: 12px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); max-width: 600px; margin: 0 auto;">
<h1 styl... | <!-- adapted from https://github.com/huggingface/huggingface_hub/blob/v0.30.2/src/huggingface_hub/templates/datasetcard_template.md -->
<div align="center" style="padding: 40px 20px; background-color: white; border-radius: 12px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); max-width: 600px; margin: 0 auto;">
<h1 styl... | 3,002 | 0 | [
"task_categories:text-classification",
"task_ids:sentiment-analysis",
"task_ids:sentiment-scoring",
"task_ids:sentiment-classification",
"task_ids:hate-speech-detection",
"annotations_creators:expert-annotated",
"multilinguality:monolingual",
"source_datasets:mteb/BrazilianToxicTweetsClassification",
... | 2025-09-09T20:38:46+00:00 | 2025-11-11T10:12:03+00:00 | 0 |
techformlog/file-systems-explained | # File Systems Explained - NTFS, FAT32, exFAT, and More.
Have you ever wondered why your USB drive or external SSD generates an error when transferring huge files? Or why are some gadgets unable to read your storage drives? The answer is generally found in the file system.
![file system](https://i.ibb.co/MD0wgmrY/fil... | # File Systems Explained - NTFS, FAT32, exFAT, and More.
Have you ever wondered why your USB drive or external SSD generates an error when transferring huge files? Or why are some gadgets unable to read your storage drives? The answer is generally found in the file system.
![file system](https://i.ibb.co/MD0wgmrY/fil... | 3 | 0 | [
"region:us"
] | 2025-11-11T08:41:25+00:00 | 2025-11-11T10:13:22+00:00 | 0 |
TIGER-Lab/MMEB-V2 |
# MMEB-V2 (Massive Multimodal Embedding Benchmark)
[**Website**](https://tiger-ai-lab.github.io/VLM2Vec/) |[**Github**](https://github.com/TIGER-AI-Lab/VLM2Vec) | [**🏆Leaderboard**](https://huggingface.co/spaces/TIGER-Lab/MMEB) | [**📖MMEB-V2/VLM2Vec-V2 Paper**](https://arxiv.org/abs/2507.04590) | | [**📖MMEB-V1/VLM... |
# MMEB-V2 (Massive Multimodal Embedding Benchmark)
[**Website**](https://tiger-ai-lab.github.io/VLM2Vec/) |[**Github**](https://github.com/TIGER-AI-Lab/VLM2Vec) | [**🏆Leaderboard**](https://huggingface.co/spaces/TIGER-Lab/MMEB) | [**📖MMEB-V2/VLM2Vec-V2 Paper**](https://arxiv.org/abs/2507.04590) | | [**📖MMEB-V1/VLM... | 1,730 | 10 | [
"task_categories:text-retrieval",
"task_categories:text-classification",
"task_categories:token-classification",
"language:en",
"license:apache-2.0",
"size_categories:1M<n<10M",
"arxiv:2507.04590",
"arxiv:2410.05160",
"region:us",
"multimodal"
] | 2025-03-21T03:47:47+00:00 | 2025-11-11T10:04:59+00:00 | 0 |
nbirukov/so101_pnp_merged2 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset 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",
... | 29 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:100K<n<1M",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T10:14:32+00:00 | 2025-11-11T10:18:42+00:00 | 0 |
german-tokenizer-benchmark/ud-hdt |
# UD German-HDT: Tokenized Sentences
This datasets hosts a sentence-tokenized version of the [Universal Dependencies German-HDT](https://github.com/UniversalDependencies/UD_German-HDT) dataset.
## Creation
The following script can be used to reproduce the creation of the dataset:
```python
import json
from flair.... |
# UD German-HDT: Tokenized Sentences
This datasets hosts a sentence-tokenized version of the [Universal Dependencies German-HDT](https://github.com/UniversalDependencies/UD_German-HDT) dataset.
## Creation
The following script can be used to reproduce the creation of the dataset:
```python
import json
from flair.... | 6 | 0 | [
"language:de",
"license:cc-by-4.0",
"size_categories:100K<n<1M",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T10:02:20+00:00 | 2025-11-11T10:04:55+00:00 | 0 |
german-tokenizer-benchmark/mobie |
# DFKI MobIE: Tokenized Sentences
This datasets hosts a sentence-tokenized version of the [DFKI MobIE](https://github.com/dfki-nlp/mobie) dataset.
## Creation
The following script can be used to reproduce the creation of the dataset:
```python
import json
from flair.datasets import NER_GERMAN_MOBIE
corpus = NER_... |
# DFKI MobIE: Tokenized Sentences
This datasets hosts a sentence-tokenized version of the [DFKI MobIE](https://github.com/dfki-nlp/mobie) dataset.
## Creation
The following script can be used to reproduce the creation of the dataset:
```python
import json
from flair.datasets import NER_GERMAN_MOBIE
corpus = NER_... | 10 | 0 | [
"language:de",
"license:cc-by-4.0",
"size_categories:1K<n<10K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T09:44:18+00:00 | 2025-11-11T10:02:42+00:00 | 0 |
orybe/standart-sweet-mix |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 15 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-11T09:57:54+00:00 | 2025-11-11T09:57:56+00:00 | 0 |
Kimura-881014/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",
... | 21 | 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"
] | 2025-11-11T09:57:43+00:00 | 2025-11-11T09:58:15+00:00 | 0 |
Hemanth8374/face-age-gender-dataset | # Face Age & Gender Dataset
Uploaded from Kaggle.
| # Face Age & Gender Dataset
Uploaded from Kaggle.
| 2 | 0 | [
"size_categories:10K<n<100K",
"format:csv",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T09:41:02+00:00 | 2025-11-11T09:57:41+00:00 | 0 |
RA-Data-Science/DiEm_HTR | # Dataset Card for DiEm HTR
<!-- Provide a quick summary of the dataset. -->
The *DiEm HTR* dataset is a ground truth dataset for historical danish handwriting in the 17th and 18th century, generated as part of the *Digitalisering af Enesteministerialbøger* project at the Danish National Archives.
## Dataset Details... | # Dataset Card for DiEm HTR
<!-- Provide a quick summary of the dataset. -->
The *DiEm HTR* dataset is a ground truth dataset for historical danish handwriting in the 17th and 18th century, generated as part of the *Digitalisering af Enesteministerialbøger* project at the Danish National Archives.
## Dataset Details... | 3 | 0 | [
"task_categories:image-to-text",
"language:da",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"region:us",
"OCR",
"HTR",
"handwriting",
"historical"
] | 2025-11-11T09:17:17+00:00 | 2025-11-11T09:53:01+00:00 | 0 |
Alkatt/eval_act_so101_pickplace_asn_run_2_aided |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset 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",
... | 20 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T09:48:07+00:00 | 2025-11-11T09:48:20+00:00 | 0 |
msmandelbrot/so101_pick_and_place_pink_cube_2boxes_wht_gnrl_with_meta |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset 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:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T09:46:31+00:00 | 2025-11-11T09:46:36+00:00 | 0 |
german-tokenizer-benchmark/german-ler |
# German LER: Tokenized Sentences
This datasets hosts a sentence-tokenized version of the [German LER](https://huggingface.co/datasets/elenanereiss/german-ler) dataset.
## Creation
The following script can be used to reproduce the creation of the dataset:
```python
import json
from flair.datasets import NER_GERMA... |
# German LER: Tokenized Sentences
This datasets hosts a sentence-tokenized version of the [German LER](https://huggingface.co/datasets/elenanereiss/german-ler) dataset.
## Creation
The following script can be used to reproduce the creation of the dataset:
```python
import json
from flair.datasets import NER_GERMA... | 13 | 0 | [
"language:de",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T09:24:21+00:00 | 2025-11-11T09:42:45+00:00 | 0 |
eirikfagerbakke/nlse1d |
# 1D Cubic Nonlinear Schrödinger Equation (NLSE)
## Overview
This dataset contains numerical solutions to the **1D cubic nonlinear Schrödinger equation (NLS)**.
The governing equation is:
$$
i u_t = u_{xx} + u |u|^2.
$$
---
## Initial Conditions
The initial conditions are generated as **random periodic functions... |
# 1D Cubic Nonlinear Schrödinger Equation (NLSE)
## Overview
This dataset contains numerical solutions to the **1D cubic nonlinear Schrödinger equation (NLS)**.
The governing equation is:
$$
i u_t = u_{xx} + u |u|^2.
$$
---
## Initial Conditions
The initial conditions are generated as **random periodic functions... | 70 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-10T15:40:56+00:00 | 2025-11-11T09:33:38+00:00 | 0 |
TheFactoryX/edition_0303_shi-labs-oneformer_demo-readymade |
# edition_0303_shi-labs-oneformer_demo-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[shi-labs/oneformer_demo](https://huggingface.co/datasets/shi-labs/oneformer_demo)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them... |
# edition_0303_shi-labs-oneformer_demo-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[shi-labs/oneformer_demo](https://huggingface.co/datasets/shi-labs/oneformer_demo)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them... | 4 | 0 | [
"license:other",
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"readymades",
"art",
"shuffled",
"duchamp"
] | 2025-11-11T09:34:44+00:00 | 2025-11-11T09:34:46+00:00 | 0 |
YSL2683/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",
... | 22 | 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"
] | 2025-11-11T09:32:08+00:00 | 2025-11-11T09:32:14+00:00 | 0 |
alapha23/SheetBench-50 |
## Task Categories
### 1. Data Preparation and Hygiene (29 tasks)
- De-duplication, type normalization, time parsing, joins/FX conversions, pivot tables
### 2. Derivations & Extraction (16 tasks)
- Correlations, z-scores, grouping logic, compliance filters (e.g., 1099)
### 3. Modeling & Forecasts (5 tasks)
- Revenu... |
## Task Categories
### 1. Data Preparation and Hygiene (29 tasks)
- De-duplication, type normalization, time parsing, joins/FX conversions, pivot tables
### 2. Derivations & Extraction (16 tasks)
- Correlations, z-scores, grouping logic, compliance filters (e.g., 1099)
### 3. Modeling & Forecasts (5 tasks)
- Revenu... | 8 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T09:00:51+00:00 | 2025-11-11T09:32:15+00:00 | 0 |
user0618/ChineseFeedIndustryResearch | 📘 Overview
The Chinese Feed Industry Research Dataset offers an integrated view of China’s feed manufacturing and sales sector. It compiles data from multiple feed companies across several years, covering metrics such as production volume, revenue, market share, and growth rate. The dataset aims to support research i... | 📘 Overview
The Chinese Feed Industry Research Dataset offers an integrated view of China’s feed manufacturing and sales sector. It compiles data from multiple feed companies across several years, covering metrics such as production volume, revenue, market share, and growth rate. The dataset aims to support research i... | 6 | 0 | [
"license:cc-by-nc-sa-4.0",
"size_categories:n<1K",
"format:csv",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T09:20:58+00:00 | 2025-11-11T09:29:04+00:00 | 0 |
ks-and1/eval_panda-schnapp |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 22 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T09:27:07+00:00 | 2025-11-11T09:27:21+00:00 | 0 |
PoTaTo721/Shore-Lunch-Box |
# TTS
目前主要以中文方言为主，即将扩展到英语，日语以及其它语言。
具体专辑对应的时长可以从我的[Notion](https://www.notion.so/Shore-Lunch-Box-290ef97fc8fb804c89b2ce561458db78?source=copy_link)中获得。
# Emotion
情感信息可以在json文件中找到。
# 注意！
Data Pipeline: https://github.com/PoTaTo-Mika/Shore-Data-Engine
对于早期的小型专辑，都是wav格式方便直接使用。对于大规模(10000+ hours)的系列，都是opus进行保存，请注意储... |
# TTS
目前主要以中文方言为主，即将扩展到英语，日语以及其它语言。
具体专辑对应的时长可以从我的[Notion](https://www.notion.so/Shore-Lunch-Box-290ef97fc8fb804c89b2ce561458db78?source=copy_link)中获得。
# Emotion
情感信息可以在json文件中找到。
# 注意！
Data Pipeline: https://github.com/PoTaTo-Mika/Shore-Data-Engine
对于早期的小型专辑，都是wav格式方便直接使用。对于大规模(10000+ hours)的系列，都是opus进行保存，请注意储... | 1,889 | 1 | [
"task_categories:text-to-speech",
"language:zh",
"language:es",
"language:en",
"license:cc-by-nc-sa-4.0",
"arxiv:2505.15772",
"region:us"
] | 2025-09-22T09:26:14+00:00 | 2025-11-11T09:22:03+00:00 | 0 |
News-M3F/News-M3F |
# News-M3F: A Multi-modal, Multi-label Dataset for Semantic Fine-grained Classification |
# News-M3F: A Multi-modal, Multi-label Dataset for Semantic Fine-grained Classification | 8 | 0 | [
"task_categories:text-classification",
"task_categories:image-classification",
"language:en",
"license:cc-by-4.0",
"size_categories:100K<n<1M",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T09:03:19+00:00 | 2025-11-11T09:21:39+00:00 | 0 |
TakalaWang/anime-2024-winter-series-queries |
# Anime 2024 Winter - Series Queries
這個數據集包含 2024 年冬季動畫的系列級別查詢語句。
## 數據集結構
- **file_name**: 影片文件路徑（用於定位整季影片位置）
- **series_name**: 動畫系列名稱
- **release_date**: 首播日期
- **query**: 模型生成的查詢語句
- narrative_arc: 整體劇情弧線
- characters: 角色辨識
- character_development: 角色成長與關係
- theme: 主題與寓意
- visual_emotional_impression:... |
# Anime 2024 Winter - Series Queries
這個數據集包含 2024 年冬季動畫的系列級別查詢語句。
## 數據集結構
- **file_name**: 影片文件路徑（用於定位整季影片位置）
- **series_name**: 動畫系列名稱
- **release_date**: 首播日期
- **query**: 模型生成的查詢語句
- narrative_arc: 整體劇情弧線
- characters: 角色辨識
- character_development: 角色成長與關係
- theme: 主題與寓意
- visual_emotional_impression:... | 64 | 0 | [
"language:zh",
"size_categories:n<1K",
"modality:text",
"modality:video",
"library:datasets",
"library:mlcroissant",
"region:us"
] | 2025-11-08T10:52:15+00:00 | 2025-11-11T09:18:29+00:00 | 0 |
TheFactoryX/edition_0302_inductiva-windtunnel-20k-readymade |
# edition_0302_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_0302_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... | 4 | 0 | [
"license:other",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"readymades",
"art",
"shuffled",
"duchamp"
] | 2025-11-11T09:17:02+00:00 | 2025-11-11T09:17:04+00:00 | 0 |
pr0tos/so101_put_br_on_p |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset 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",
... | 127 | 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"
] | 2025-11-06T09:56:14+00:00 | 2025-11-11T09:11:46+00:00 | 0 |
hinoarashi/PlateHold_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",
... | 26 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T09:10:21+00:00 | 2025-11-11T09:10:26+00:00 | 0 |
pr0tos/so101_take_out_gc_pb |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset 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",
... | 153 | 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"
] | 2025-11-06T08:34:51+00:00 | 2025-11-11T09:11:00+00:00 | 0 |
openeurollm/evaluation_singularity_images |
This dataset repository holds the singularity images for the shared OELLM CLI workflows in [OpenEuroLLM/oellm-cli](https://github.com/OpenEuroLLM/oellm-cli/).
This singularity images are updated automatically using a GitHub Actions workflow if there is a change to the container definition files or the workflow itsel... |
This dataset repository holds the singularity images for the shared OELLM CLI workflows in [OpenEuroLLM/oellm-cli](https://github.com/OpenEuroLLM/oellm-cli/).
This singularity images are updated automatically using a GitHub Actions workflow if there is a change to the container definition files or the workflow itsel... | 180 | 0 | [
"license:apache-2.0",
"region:us"
] | 2025-08-04T09:38:22+00:00 | 2025-11-11T09:06:31+00:00 | 0 |
Alkatt/eval_act_so101_cube_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",
... | 29 | 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"
] | 2025-11-11T09:08:41+00:00 | 2025-11-11T09:08:55+00:00 | 0 |
hieu1344/omy_conditional_push_v2 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 33 | 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",
"omy",
"robotis"
] | 2025-11-11T09:03:59+00:00 | 2025-11-11T09:04:19+00:00 | 0 |
KevinHuang/InteriorVerse | Captions of InteriorVerse's RGB images extracted with `microsoft/Florence-2-large`. | Captions of InteriorVerse's RGB images extracted with `microsoft/Florence-2-large`. | 28 | 0 | [
"license:mit",
"region:us"
] | 2025-05-22T03:45:53+00:00 | 2025-11-11T09:03:02+00:00 | 0 |
DavidNguyen/LLAVA-LibMoE | ## LibMoE Dataset for Training and Evaluation
### Overview
This repository contains the **LLAVA-LibMoE dataset**, curated specifically for **training and evaluating Mixture of Experts (MoE)** algorithms within the **LibMoE framework**. It provides a standardized and ready-to-use dataset collection designed to support... | ## LibMoE Dataset for Training and Evaluation
### Overview
This repository contains the **LLAVA-LibMoE dataset**, curated specifically for **training and evaluating Mixture of Experts (MoE)** algorithms within the **LibMoE framework**. It provides a standardized and ready-to-use dataset collection designed to support... | 39 | 0 | [
"task_categories:question-answering",
"task_categories:text-generation",
"language:en",
"size_categories:100K<n<1M",
"arxiv:2411.00918",
"region:us"
] | 2024-08-22T18:47:31+00:00 | 2025-11-11T09:02:52+00:00 | 0 |
sungyub/codev-r1-verl |
# CodeV-R1 VERL
<div align="center">
</div>
## 📊 Dataset Summar... |
# CodeV-R1 VERL
<div align="center">
</div>
## 📊 Dataset Summar... | 105 | 0 | [
"task_categories:text-generation",
"language:en",
"license:cc-by-sa-4.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"code",
"verilog",
"hdl",
"hardware",
"verl",
"reinforc... | 2025-11-04T00:52:23+00:00 | 2025-11-11T09:01:35+00:00 | 0 |
amityco/tau-bench-retail-train-next-action-hard |
sample from amityco/tau-bench-retail-train-next-action-all-step with model Qwen/Qwen3-4B-Thinking-2507
with 4 response
filter only score <=0.25
|
sample from amityco/tau-bench-retail-train-next-action-all-step with model Qwen/Qwen3-4B-Thinking-2507
with 4 response
filter only score <=0.25
| 47 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-07T07:29:38+00:00 | 2025-11-11T08:54:01+00:00 | 0 |
bridgeconn/sign-dictionary-isl |
# Dataset Card for Sign Dictionary Dataset
This dataset contains Indian sign language videos with one gloss per video. There are 3077 seperate lex items or glosses included.
The dataset is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0).
## Dataset Details
There... |
# Dataset Card for Sign Dictionary Dataset
This dataset contains Indian sign language videos with one gloss per video. There are 3077 seperate lex items or glosses included.
The dataset is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0).
## Dataset Details
There... | 287 | 0 | [
"language:ins",
"license:cc-by-sa-4.0",
"size_categories:1K<n<10K",
"format:webdataset",
"modality:text",
"modality:video",
"library:datasets",
"library:webdataset",
"library:mlcroissant",
"region:us",
"video",
"parallel-corpus",
"low-resource-languages"
] | 2025-07-01T05:58:28+00:00 | 2025-11-11T08:52:07+00:00 | 0 |
ming326/gen3_data_unwrap_filter |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset 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",
... | 113 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T08:39:09+00:00 | 2025-11-11T08:56:05+00:00 | 0 |
ruanwz/record-grab-rubber-30-2 |
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",
... | 29 | 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"
] | 2025-11-11T08:40:28+00:00 | 2025-11-11T08:40:40+00:00 | 0 |
umetyu/pickup_tape5 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset 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",
... | 27 | 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"
] | 2025-11-11T08:34:05+00:00 | 2025-11-11T08:34:16+00:00 | 0 |
lmms-lab-si/EASI-Leaderboard-Data |
# EASI Leaderboard Data
A consolidated dataset for the **EASI** Leaderboard, containing the evaluation data (inputs/prompts) actually used on the leaderboard across spatial reasoning benchmarks for VLMs.
> Looking for the Spatial Intelligence leaderboard?
> https://huggingface.co/spaces/lmms-lab-si/EASI-Leaderboar... |
# EASI Leaderboard Data
A consolidated dataset for the **EASI** Leaderboard, containing the evaluation data (inputs/prompts) actually used on the leaderboard across spatial reasoning benchmarks for VLMs.
> Looking for the Spatial Intelligence leaderboard?
> https://huggingface.co/spaces/lmms-lab-si/EASI-Leaderboar... | 40 | 0 | [
"task_categories:question-answering",
"language:en",
"license:apache-2.0",
"size_categories:10K<n<100K",
"region:us",
"Spatial Intelligence",
"EASI",
"Benchmark",
"Leaderboard"
] | 2025-11-07T12:39:50+00:00 | 2025-11-11T08:31:15+00:00 | 0 |
s-y-a-n/sp-evaluation-results | # Senior Project Evaluation Results
This repository contains the LLM evaluation results for our senior project.
[Link to GitHub Repository](https://github.com/S-Y-A-N/ar-llm-browser/) | # Senior Project Evaluation Results
This repository contains the LLM evaluation results for our senior project.
[Link to GitHub Repository](https://github.com/S-Y-A-N/ar-llm-browser/) | 12 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-10T14:04:36+00:00 | 2025-11-11T08:32:22+00:00 | 0 |
NemoSheng/ReAct_funcall_sharegpt | Data from hiyoga Function Calling | Data from hiyoga Function Calling | 14 | 0 | [
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2024-08-07T10:17:33+00:00 | 2025-11-11T08:31:56+00:00 | 0 |
lipaz/StudentHabitsvsAcademicPerformance | # 🧠 Student Habits vs Academic Performance
This project explores how students’ daily habits — such as **study hours, sleep, social media use, part-time work, and internet quality** — affect their **exam performance**.
The dataset contains **1,000 simulated student records** and combines both numerical and categoric... | # 🧠 Student Habits vs Academic Performance
This project explores how students’ daily habits — such as **study hours, sleep, social media use, part-time work, and internet quality** — affect their **exam performance**.
The dataset contains **1,000 simulated student records** and combines both numerical and categoric... | 28 | 0 | [
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"library:datasets",
"library:mlcroissant",
"region:us"
] | 2025-11-11T08:03:33+00:00 | 2025-11-11T08:31:46+00:00 | 0 |
yinxinyuchen/pp_1111_2 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 68 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T08:19:29+00:00 | 2025-11-11T08:20:56+00:00 | 0 |
ICIP/TeleSalesCorpus |
# TeleSalesCorpus
## Dataset Description
TeleSalesCorpus is a large-scale, high-fidelity dialogue dataset designed specifically for the domain of intelligent telemarketing.
This dataset was constructed to address the core challenges that current Large Language Models (LLMs) face in goal-driven persuasive dialogue t... |
# TeleSalesCorpus
## Dataset Description
TeleSalesCorpus is a large-scale, high-fidelity dialogue dataset designed specifically for the domain of intelligent telemarketing.
This dataset was constructed to address the core challenges that current Large Language Models (LLMs) face in goal-driven persuasive dialogue t... | 10 | 1 | [
"task_categories:text-generation",
"size_categories:1K<n<10K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T07:54:35+00:00 | 2025-11-11T08:20:18+00:00 | 1 |
zding08/eval_koch_data74 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## 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... | 31 | 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"
] | 2025-11-11T08:12:12+00:00 | 2025-11-11T08:13:14+00:00 | 0 |
techiaith/evals-speech-recognition-cy-en |
# Welsh ASR Model Evaluation Transcription Dataset
This resource compiles the output transcriptions from multiple Welsh Automatic Speech Recognition (ASR) models across several test sets.
The data is structured hierarchically:
- Splits delineate the individual test sets.
- Configs within each split detail the pe... |
# Welsh ASR Model Evaluation Transcription Dataset
This resource compiles the output transcriptions from multiple Welsh Automatic Speech Recognition (ASR) models across several test sets.
The data is structured hierarchically:
- Splits delineate the individual test sets.
- Configs within each split detail the pe... | 116 | 0 | [
"size_categories:100K<n<1M",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-08-11T13:30:59+00:00 | 2025-11-11T08:08:36+00:00 | 0 |
yinxinyuchen/pp_1111_9 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset 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",
... | 63 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T08:04:04+00:00 | 2025-11-11T08:04:47+00:00 | 0 |
yinxinyuchen/pp_1111_8 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 38 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T07:59:08+00:00 | 2025-11-11T07:59:43+00:00 | 0 |
SamsungSDS-Research/SDS-KoPub-VDR-Benchmark |
## 📘 Dataset Summary
**SDS KoPub-VDR** is a benchmark dataset for **Visual Document Retrieval (VDR)** in the context of <br>
**Korean public documents**. It contains real-world government document images paired with natural-language <br>
queries, corresponding answer pages, and ground-truth answers. The dataset is d... |
## 📘 Dataset Summary
**SDS KoPub-VDR** is a benchmark dataset for **Visual Document Retrieval (VDR)** in the context of <br>
**Korean public documents**. It contains real-world government document images paired with natural-language <br>
queries, corresponding answer pages, and ground-truth answers. The dataset is d... | 112 | 4 | [
"task_categories:visual-document-retrieval",
"language:ko",
"language:en",
"license:cc-by-sa-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2511.04910",
"region:u... | 2025-10-29T07:30:06+00:00 | 2025-11-11T07:56:22+00:00 | 4 |
rohan1818/my-age-gender-dataset |
full_path
gender
age
Label Count
0.00 - 1735.35 1,736
1735.35 - 3470.70 1,735
3470.70 - 5206.05 1,736
5206.05 - 6941.40 1,735
6941.40 - 8676.75 1,735
8676.75 - 10412.10 1,736
10412.10 - 12147.45 1,735
12147.45 - 13882.80 1,735
13882.80 - 15618.15 1,736
15618.15 - 17353.50 1,735
17353.50 - 19088.85 1,735
19088.85 -... |
full_path
gender
age
Label Count
0.00 - 1735.35 1,736
1735.35 - 3470.70 1,735
3470.70 - 5206.05 1,736
5206.05 - 6941.40 1,735
6941.40 - 8676.75 1,735
8676.75 - 10412.10 1,736
10412.10 - 12147.45 1,735
12147.45 - 13882.80 1,735
13882.80 - 15618.15 1,736
15618.15 - 17353.50 1,735
17353.50 - 19088.85 1,735
19088.85 -... | 5 | 0 | [
"region:us"
] | 2025-11-11T07:55:54+00:00 | 2025-11-11T08:04:14+00:00 | 0 |
ruanwz/record-grab-rubber-30 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset 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",
... | 33 | 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"
] | 2025-11-11T07:55:10+00:00 | 2025-11-11T07:55:23+00:00 | 0 |
yinxinyuchen/pp_1111_7 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset 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",
... | 65 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T07:54:31+00:00 | 2025-11-11T07:55:22+00:00 | 0 |
lipaz/levi | hello levi
# yoyo
yes yes
 | hello levi
# yoyo
yes yes
 | 29 | 0 | [
"size_categories:n<1K",
"format:imagefolder",
"modality:image",
"library:datasets",
"library:mlcroissant",
"region:us"
] | 2025-11-10T13:37:49+00:00 | 2025-11-11T07:50:59+00:00 | 0 |
1g0rrr/release4_top-val |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset 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",
... | 60 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T07:53:34+00:00 | 2025-11-11T07:53:41+00:00 | 0 |
yinxinyuchen/pp_1111_6 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset 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",
... | 61 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T07:49:08+00:00 | 2025-11-11T07:50:00+00:00 | 0 |
TheFactoryX/edition_0301_shi-labs-oneformer_demo-readymade |
# edition_0301_shi-labs-oneformer_demo-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[shi-labs/oneformer_demo](https://huggingface.co/datasets/shi-labs/oneformer_demo)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them... |
# edition_0301_shi-labs-oneformer_demo-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[shi-labs/oneformer_demo](https://huggingface.co/datasets/shi-labs/oneformer_demo)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them... | 3 | 0 | [
"license:other",
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"readymades",
"art",
"shuffled",
"duchamp"
] | 2025-11-11T07:48:35+00:00 | 2025-11-11T07:48:38+00:00 | 0 |
1g0rrr/release4_v_top |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 39 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T07:45:41+00:00 | 2025-11-11T07:46:22+00:00 | 0 |
zding08/eval_koch_data68 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## 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... | 19 | 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"
] | 2025-11-11T07:45:03+00:00 | 2025-11-11T07:45:41+00:00 | 0 |
MLNTeam-Unical/MoralTextManipulation |
# 📊 Exploring LLMs’ Ability to Spontaneously and Conditionally Modify Moral Expressions through Text Manipulation
Morality serves as the foundation of societal structure, guiding legal systems, shaping cultural values, and influencing individual self-perception. With the rise and pervasiveness of generative AI tool... |
# 📊 Exploring LLMs’ Ability to Spontaneously and Conditionally Modify Moral Expressions through Text Manipulation
Morality serves as the foundation of societal structure, guiding legal systems, shaping cultural values, and influencing individual self-perception. With the rise and pervasiveness of generative AI tool... | 143 | 0 | [
"task_categories:text-classification",
"task_categories:token-classification",
"task_categories:zero-shot-classification",
"task_categories:text-generation",
"task_categories:sentence-similarity",
"task_categories:summarization",
"task_categories:translation",
"task_categories:feature-extraction",
"... | 2025-06-26T13:33:26+00:00 | 2025-11-11T07:47:25+00:00 | 0 |
weiwenliu/lerobot-serl-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",
... | 281 | 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"
] | 2025-10-27T11:30:16+00:00 | 2025-11-11T07:45:01+00:00 | 0 |
yinxinyuchen/pp_1111_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",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset 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",
... | 34 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T07:43:08+00:00 | 2025-11-11T07:43:45+00:00 | 0 |
yinxinyuchen/pp_1111_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",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset 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",
... | 61 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T07:33:31+00:00 | 2025-11-11T07:38:52+00:00 | 0 |
qownscks/banana_anomoly_merge |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"robot_type": "so101_follower",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"robot_type": "so101_follower",
... | 41 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T07:17:34+00:00 | 2025-11-11T07:35:31+00:00 | 0 |
Caoza/PhysX-3D |
# PhysXNet & PhysXNet-XL
<p align="left"><a href="https://arxiv.org/abs/2507.12465"><img src='https://img.shields.io/badge/arXiv-Paper-red?logo=arxiv&logoColor=white' alt='arXiv'></a>
<a href='https://huggingface.co/papers/2507.12465'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Paper-blue'></... |
# PhysXNet & PhysXNet-XL
<p align="left"><a href="https://arxiv.org/abs/2507.12465"><img src='https://img.shields.io/badge/arXiv-Paper-red?logo=arxiv&logoColor=white' alt='arXiv'></a>
<a href='https://huggingface.co/papers/2507.12465'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Paper-blue'></... | 893 | 19 | [
"task_categories:image-to-3d",
"language:en",
"license:gpl-3.0",
"size_categories:1M<n<10M",
"arxiv:2507.12465",
"region:us",
"Physical 3D Generation",
"3D Vision",
"3D"
] | 2025-07-08T02:58:13+00:00 | 2025-11-11T07:35:19+00:00 | 0 |
Cerberose/vietnamese-classification-dataset | # Vietnamese Classification Dataset
The **Vietnamese Classification Dataset** is a large-scale corpus of Vietnamese text samples annotated with categorical labels across three distinct classes. It was created to support research and development in Vietnamese Natural Language Processing (NLP), particularly in text clas... | # Vietnamese Classification Dataset
The **Vietnamese Classification Dataset** is a large-scale corpus of Vietnamese text samples annotated with categorical labels across three distinct classes. It was created to support research and development in Vietnamese Natural Language Processing (NLP), particularly in text clas... | 33 | 0 | [
"size_categories:10M<n<100M",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-10-31T16:37:51+00:00 | 2025-11-11T07:39:06+00:00 | 0 |
JHU-SmileLab/NaturalVoices_VC_870h | # NaturalVoices VC 870h
A large voice conversion (VC) dataset curated from spontaneous, in-the-wild podcast speech as part of the **NaturalVoices** project in collaboration with 🤗[MSP Lab at CMU LTI](https://huggingface.co/Lab-MSP). This release provides the **870-hour** VC dataset and subsets mainly intended for tra... | # NaturalVoices VC 870h
A large voice conversion (VC) dataset curated from spontaneous, in-the-wild podcast speech as part of the **NaturalVoices** project in collaboration with 🤗[MSP Lab at CMU LTI](https://huggingface.co/Lab-MSP). This release provides the **870-hour** VC dataset and subsets mainly intended for tra... | 71 | 8 | [
"task_categories:audio-to-audio",
"task_categories:text-to-speech",
"task_categories:audio-classification",
"task_categories:automatic-speech-recognition",
"language:en",
"arxiv:2511.00256",
"region:us"
] | 2025-10-27T05:07:03+00:00 | 2025-11-11T07:30:40+00:00 | 4 |
JHU-SmileLab/NaturalVoices_EVC | # NaturalVoices EVC
A large emotional voice conversion (EVC) dataset curated from spontaneous, in-the-wild podcast speech as part of the **NaturalVoices** project in collaboration with 🤗[MSP Lab at CMU LTI](https://huggingface.co/Lab-MSP). This release provides the emotion balanced subset of the NaturalVoices **870-h... | # NaturalVoices EVC
A large emotional voice conversion (EVC) dataset curated from spontaneous, in-the-wild podcast speech as part of the **NaturalVoices** project in collaboration with 🤗[MSP Lab at CMU LTI](https://huggingface.co/Lab-MSP). This release provides the emotion balanced subset of the NaturalVoices **870-h... | 28 | 3 | [
"task_categories:audio-to-audio",
"task_categories:text-to-speech",
"task_categories:audio-classification",
"language:en",
"arxiv:2511.00256",
"region:us"
] | 2025-10-27T05:08:04+00:00 | 2025-11-11T07:30:19+00:00 | 3 |
yinxinyuchen/pp_1111_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": "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",
... | 63 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T07:27:26+00:00 | 2025-11-11T07:29:16+00:00 | 0 |
THUIR/MemoryBench |
# MemoryBench
MemoryBench aims to provide a standardized and extensible benchmark for evaluating memory and continual learning in LLM systems — encouraging future work toward more adaptive, feedback-driven, and efficient LLM systems.
**Paper Link**: https://arxiv.org/abs/2510.17281
**Github**: https://github.com/Li... |
# MemoryBench
MemoryBench aims to provide a standardized and extensible benchmark for evaluating memory and continual learning in LLM systems — encouraging future work toward more adaptive, feedback-driven, and efficient LLM systems.
**Paper Link**: https://arxiv.org/abs/2510.17281
**Github**: https://github.com/Li... | 4,442 | 7 | [
"language:en",
"language:zh",
"license:mit",
"size_categories:1K<n<10K",
"format:arrow",
"modality:tabular",
"modality:text",
"library:datasets",
"library:mlcroissant",
"arxiv:2510.17281",
"region:us"
] | 2025-09-01T06:34:32+00:00 | 2025-11-11T07:17:33+00:00 | 1 |
yinxinyuchen/pp_1111_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",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 40 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T07:11:31+00:00 | 2025-11-11T07:14:46+00:00 | 0 |
JHU-SmileLab/NaturalVoices_VC_0.1 | NaturalVoices VC 10%
A large voice conversion (VC) dataset curated from spontaneous, in-the-wild podcast speech as part of the **NaturalVoices** project in collaboration with 🤗[MSP Lab at CMU LTI](https://huggingface.co/Lab-MSP). This release provides the 10% subset uniformly sampled from **870-hour** VC dataset and... | NaturalVoices VC 10%
A large voice conversion (VC) dataset curated from spontaneous, in-the-wild podcast speech as part of the **NaturalVoices** project in collaboration with 🤗[MSP Lab at CMU LTI](https://huggingface.co/Lab-MSP). This release provides the 10% subset uniformly sampled from **870-hour** VC dataset and... | 58 | 1 | [
"task_categories:audio-to-audio",
"task_categories:text-to-speech",
"task_categories:audio-classification",
"task_categories:automatic-speech-recognition",
"language:en",
"size_categories:10K<n<100K",
"format:webdataset",
"modality:audio",
"modality:text",
"library:datasets",
"library:webdataset... | 2025-10-27T05:00:18+00:00 | 2025-11-11T07:14:19+00:00 | 0 |
TheFactoryX/edition_0300_cornell-movie-review-data-rotten_tomatoes-readymade |
# edition_0300_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_0300_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... | 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"
] | 2025-11-11T07:13:05+00:00 | 2025-11-11T07:13:07+00:00 | 0 |
TiaDay/books-to-scrape-page1 |
# Books to Scrape – Page 1
## Dataset Summary
Book records scraped from the first page of the **Books to Scrape** demo site.
I created this dataset for a class assignment to practise web scraping, pandas,
and publishing a dataset to the Hugging Face Hub.
## Data Collection
- Source: https://books.toscrape.com/ (pu... |
# Books to Scrape – Page 1
## Dataset Summary
Book records scraped from the first page of the **Books to Scrape** demo site.
I created this dataset for a class assignment to practise web scraping, pandas,
and publishing a dataset to the Hugging Face Hub.
## Data Collection
- Source: https://books.toscrape.com/ (pu... | 10 | 0 | [
"language:en",
"license:mit",
"size_categories:n<1K",
"format:csv",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T07:06:18+00:00 | 2025-11-11T07:12:36+00:00 | 0 |
yinxinyuchen/pp_1111_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": "v2.1",
... |
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",
... | 68 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T07:00:57+00:00 | 2025-11-11T07:03:57+00:00 | 0 |
Rinsei/Plateback_Epi50 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset 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:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T05:19:22+00:00 | 2025-11-11T06:58:59+00:00 | 0 |
sxiong/SWAP_v2 |
## SWAP_v2: A Synthetic Dataset for Multi-Step Reasoning with Process Supervision
This repository provides the dataset accompanying the paper (ACL 25 main) [Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model](https://arxiv.org/pdf/2410.03136).
SWAP_v2 consists of **... |
## SWAP_v2: A Synthetic Dataset for Multi-Step Reasoning with Process Supervision
This repository provides the dataset accompanying the paper (ACL 25 main) [Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model](https://arxiv.org/pdf/2410.03136).
SWAP_v2 consists of **... | 110 | 1 | [
"task_categories:question-answering",
"language:en",
"license:mit",
"size_categories:100K<n<1M",
"format:json",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2410.03136",
"arxiv:2110.14168",
"arxiv:2103.03874",
... | 2025-11-08T02:50:41+00:00 | 2025-11-11T06:52:37+00:00 | 1 |
pixas/MedSSS-data |
## MedSSS Data
[💻Github Repo](https://github.com/pixas/MedSSS) [🖨️arXiv Paper](https://arxiv.org/abs/2501.12051)
The official SFT and PRM training data for "MedS3: Towards Medical Slow Thinking with Self-Evolved Soft Dual-sided Process Supervision"
### Introduction
The data is a synthetic dataset built from a 8... |
## MedSSS Data
[💻Github Repo](https://github.com/pixas/MedSSS) [🖨️arXiv Paper](https://arxiv.org/abs/2501.12051)
The official SFT and PRM training data for "MedS3: Towards Medical Slow Thinking with Self-Evolved Soft Dual-sided Process Supervision"
### Introduction
The data is a synthetic dataset built from a 8... | 37 | 5 | [
"language:en",
"license:mit",
"arxiv:2501.12051",
"region:us"
] | 2025-01-20T07:54:52+00:00 | 2025-11-11T06:50:47+00:00 | 0 |
XiaojieGu/UltraEditBench | # UltraEditBench
UltraEditBench is the largest publicly available dataset to date for the task of model editing.
This dataset was introduced in the paper:
> [ULTRAEDIT: Training-, Subject-, and Memory-Free Lifelong Editing in Large Language Models](https://arxiv.org/abs/2505.14679)
---
## 📦 Dataset Overview
The... | # UltraEditBench
UltraEditBench is the largest publicly available dataset to date for the task of model editing.
This dataset was introduced in the paper:
> [ULTRAEDIT: Training-, Subject-, and Memory-Free Lifelong Editing in Large Language Models](https://arxiv.org/abs/2505.14679)
---
## 📦 Dataset Overview
The... | 24 | 1 | [
"size_categories:1M<n<10M",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2505.14679",
"region:us"
] | 2025-05-12T07:41:19+00:00 | 2025-11-11T06:48:42+00:00 | 0 |
ChengyouJia/T2IS-Bench |
## Update
We have added the latest **Seedream 4.0** results. Please refer to the [Seedream 4.0 Demo](https://www.volcengine.com/experience/ark?launch=seedream)
and the attached file **T2IS_Seedream.zip**.
## T2IS-Bench Description
- **Homepage:** [https://chen... |
## Update
We have added the latest **Seedream 4.0** results. Please refer to the [Seedream 4.0 Demo](https://www.volcengine.com/experience/ark?launch=seedream)
and the attached file **T2IS_Seedream.zip**.
## T2IS-Bench Description
- **Homepage:** [https://chen... | 100 | 4 | [
"task_categories:text-to-image",
"task_categories:image-to-image",
"language:en",
"license:cc-by-nc-4.0",
"arxiv:2506.23275",
"region:us"
] | 2025-07-10T09:27:29+00:00 | 2025-11-11T06:46:34+00:00 | 1 |
shiningjohci/echo-index-dataset |
# 🌊 Echo Index — Humanity Benchmark v1.0
**Version:** 1.0.0
**Author:** Simon Liu / Echo Suite
**License:** CC-BY-4.0
**Date:** 2025
---
## License
This dataset and documentation are licensed under **CC-BY-4.0**.
See the [LICENSE](./LICENSE) file or visit [creativecommons.org/licenses/by/4.0](https://cr... |
# 🌊 Echo Index — Humanity Benchmark v1.0
**Version:** 1.0.0
**Author:** Simon Liu / Echo Suite
**License:** CC-BY-4.0
**Date:** 2025
---
## License
This dataset and documentation are licensed under **CC-BY-4.0**.
See the [LICENSE](./LICENSE) file or visit [creativecommons.org/licenses/by/4.0](https://cr... | 20 | 0 | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"language:en",
"language:zh",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:json",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"region:us",
"empathy",
"psychology",
"ai-huma... | 2025-11-10T07:08:54+00:00 | 2025-11-11T06:44:09+00:00 | 0 |
dureduck/eval_so100_act_1109_lp_2loc_5x4_20samples_b16_20trials |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset 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",
... | 20 | 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"
] | 2025-11-11T06:39:01+00:00 | 2025-11-11T06:40:08+00:00 | 0 |
FreedomIntelligence/MedVideoCap-55K |
# Introduction
MedVideoCap-55K is a high-quality text-to-video dataset designed for research institutions to support medical video generation. It contains 55,803 medical videos covering areas like medical education, clinical practice, medical imaging, medical teaching and medical popular science videos. The videos ar... |
# Introduction
MedVideoCap-55K is a high-quality text-to-video dataset designed for research institutions to support medical video generation. It contains 55,803 medical videos covering areas like medical education, clinical practice, medical imaging, medical teaching and medical popular science videos. The videos ar... | 245 | 12 | [
"task_categories:text-to-video",
"language:en",
"license:apache-2.0",
"size_categories:10K<n<100K",
"arxiv:2507.05675",
"region:us",
"videos",
"Video Generative Model Training",
"Text-to-Video Diffusion Model Training",
"prompts",
"medical"
] | 2025-04-14T06:59:09+00:00 | 2025-11-11T06:33:20+00:00 | 0 |
sunil-tribble/tribble-facts |
# Tribble.ai Facts & Claims
Weekly-exported claims used by https://trytribble.com.
- JSONL: `data/tribble_dataset.jsonl`
- CSV: `data/tribble_dataset.csv`
Fields:
- text, label, entity, category, confidence, timestamp
Source: https://trytribble.com/datasets/latest.jsonl
|
# Tribble.ai Facts & Claims
Weekly-exported claims used by https://trytribble.com.
- JSONL: `data/tribble_dataset.jsonl`
- CSV: `data/tribble_dataset.csv`
Fields:
- text, label, entity, category, confidence, timestamp
Source: https://trytribble.com/datasets/latest.jsonl
| 45 | 0 | [
"task_categories:text-classification",
"license:cc-by-4.0",
"region:us",
"tribble",
"agentic-gtm",
"ai",
"dataset"
] | 2025-08-27T23:15:45+00:00 | 2025-11-11T06:28:18+00:00 | 0 |
chiffonng/hmmt_2025 |
Merged "problem-type" column from MathArena/hmmt_feb_2025 into FlagEval/HMMT_2025 |
Merged "problem-type" column from MathArena/hmmt_feb_2025 into FlagEval/HMMT_2025 | 7 | 0 | [
"language:en",
"license:cc",
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T06:25:13+00:00 | 2025-11-11T06:27:21+00:00 | 0 |
Mohammadta/BEAM-10M |
# BEYOND A MILLION TOKENS: BENCHMARKING AND ENHANCING LONG-TERM MEMORY IN LLMS
## Abstract
Evaluating the abilities of large language models (LLMs) for tasks that require long-term memory and thus long-context reasoning, for example in conversational settings, is hampered by the existing benchmarks, which often lack ... |
# BEYOND A MILLION TOKENS: BENCHMARKING AND ENHANCING LONG-TERM MEMORY IN LLMS
## Abstract
Evaluating the abilities of large language models (LLMs) for tasks that require long-term memory and thus long-context reasoning, for example in conversational settings, is hampered by the existing benchmarks, which often lack ... | 31 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"arxiv:2510.27246",
"region:us"
] | 2025-11-11T06:21:30+00:00 | 2025-11-11T06:22:04+00:00 | 0 |
Mohammadta/BEAM | # BEYOND A MILLION TOKENS: BENCHMARKING AND ENHANCING LONG-TERM MEMORY IN LLMS
## Abstract
Evaluating the abilities of large language models (LLMs) for tasks that require long-term memory and thus long-context reasoning, for example in conversational settings, is hampered by the existing benchmarks, which often lack n... | # BEYOND A MILLION TOKENS: BENCHMARKING AND ENHANCING LONG-TERM MEMORY IN LLMS
## Abstract
Evaluating the abilities of large language models (LLMs) for tasks that require long-term memory and thus long-context reasoning, for example in conversational settings, is hampered by the existing benchmarks, which often lack n... | 24 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2510.27246",
"region:us"
] | 2025-11-11T06:15:33+00:00 | 2025-11-11T06:18:30+00:00 | 0 |
dureduck/eval_so100_act_1109_lp_2loc_5x4_20samples_b8_20trials |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset 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",
... | 29 | 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"
] | 2025-11-11T06:07:36+00:00 | 2025-11-11T06:08:47+00:00 | 0 |
ming326/gen3_data_filter |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset 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",
... | 188 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T05:52:28+00:00 | 2025-11-11T06:06:36+00:00 | 0 |
ogulcanakca/epdk_sft |
# EPDK SFT Veri Seti (v1.0) - Sentetik Soru-Cevap
Bu repository, [`ogulcanakca/epdk_corpus`](https://huggingface.co/datasets/ogulcanakca/epdk_corpus) veri setindeki ham EPDK mevzuat metinleri kullanılarak üretilmiş, **sentetik Soru-Cevap (QA) veri seti** içerir.
## 1. Pipeline
1. **Kaynak Veri:** [`ogulcanakca/epd... |
# EPDK SFT Veri Seti (v1.0) - Sentetik Soru-Cevap
Bu repository, [`ogulcanakca/epdk_corpus`](https://huggingface.co/datasets/ogulcanakca/epdk_corpus) veri setindeki ham EPDK mevzuat metinleri kullanılarak üretilmiş, **sentetik Soru-Cevap (QA) veri seti** içerir.
## 1. Pipeline
1. **Kaynak Veri:** [`ogulcanakca/epd... | 9 | 0 | [
"language:tr",
"license:mit",
"size_categories:10K<n<100K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"epdk",
"turkish",
"question-answering",
"sft"
] | 2025-11-11T05:43:28+00:00 | 2025-11-11T06:08:26+00:00 | 0 |
pangyyyyy/OmniSpatial |
# OmniSpatial Test Dataset
Spatial reasoning benchmark for vision-language models (test split).
**Note:** Images are stored in the `image_files/` folder. The `image_path` column contains the relative path to each image.
## Dataset Structure
### Columns
- **id**: Sample identifier
- **question**: The spatial reaso... |
# OmniSpatial Test Dataset
Spatial reasoning benchmark for vision-language models (test split).
**Note:** Images are stored in the `image_files/` folder. The `image_path` column contains the relative path to each image.
## Dataset Structure
### Columns
- **id**: Sample identifier
- **question**: The spatial reaso... | 287 | 0 | [
"task_categories:visual-question-answering",
"language:en",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"spatial-reasoning",
"vision-langua... | 2025-11-11T06:00:48+00:00 | 2025-11-11T06:04:47+00:00 | 0 |
Kkuntal990/test-braindecode-integration |
# EEG Dataset
This dataset was created using [braindecode](https://braindecode.org), a library for deep learning with EEG/MEG/ECoG signals.
## Dataset Information
- **Number of recordings**: 1
- **Number of channels**: 26
- **Sampling frequency**: 250.0 Hz
- **Data type**: Windowed (from Epochs object)
- **Number o... |
# EEG Dataset
This dataset was created using [braindecode](https://braindecode.org), a library for deep learning with EEG/MEG/ECoG signals.
## Dataset Information
- **Number of recordings**: 1
- **Number of channels**: 26
- **Sampling frequency**: 250.0 Hz
- **Data type**: Windowed (from Epochs object)
- **Number o... | 6 | 0 | [
"license:unknown",
"size_categories:n<1K",
"format:json",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"braindecode",
"eeg",
"neuroscience",
"brain-computer-interface"
] | 2025-11-11T06:00:14+00:00 | 2025-11-11T06:00:15+00:00 | 0 |
Yun5/RoboCerebra_TF | ## Work-in-Progress
I trained the model with this data, and the L1 loss went down, but for some reason the model keeps failing the tasks.
## Citation
If you use this dataset or any part of the conversion pipeline, please cite the original RoboCerebra paper:
```bibtex
@article{han2025robocerebra,
title={RoboCerebra: ... | ## Work-in-Progress
I trained the model with this data, and the L1 loss went down, but for some reason the model keeps failing the tasks.
## Citation
If you use this dataset or any part of the conversion pipeline, please cite the original RoboCerebra paper:
```bibtex
@article{han2025robocerebra,
title={RoboCerebra: ... | 7 | 0 | [
"license:mit",
"arxiv:2506.06677",
"region:us"
] | 2025-11-11T05:38:35+00:00 | 2025-11-11T05:55:28+00:00 | 0 |
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