datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
multilingual_audio_alignments
Multilingual MFA-Aligned Speech Dataset
A large-scale multilingual speech dataset with word-level and phoneme-level alignments produced using the Montreal Forced Aligner (MFA).
Dataset Description
This dataset consolidates multiple speech corpora across various languages, all processed through MFA to provide precise phoneme and word alignments. Each sample includes the original audio, transcript, and detailed timing information for both words and phonemes.… See the full description on the dataset page: https://huggingface.co/datasets/AAdonis/multilingual_audio_alignments.LLMVulnBenchaadimodeldataset
Aadi Training Data
Raw and processed genomics data used to train Aadi,
a 404M-parameter plant-DNA foundation model by UrbanKisaan Inc.
This repository holds the inputs behind two stages: self-supervised pretraining of the shared
frozen trunk on 49 plant genomes, and supervised RNA-seq + ATAC coverage training for maize and
Arabidopsis.
The dataset viewer is disabled on purpose. This repo contains raw sequencing reads, alignments,
genome FASTA and coverage tracks (.bam /… See the full description on the dataset page: https://huggingface.co/datasets/Viharikvs/aadimodeldataset.Full_GenQA
Dataset Card for "GenQA_Full"
More Information needed
metaworld_mt10This dataset was created using LeRobot.
Dataset Description
NOTE:
All expert trajectories (100% success rate)
50 total episodes
Camera view: 3rd-person Corner2 only out of ["corner", "corner2", "corner3", "topview", "behindGripper"]
Generator script can be found here: https://github.com/aadarshram/lerobot/blob/MultiTask/src/lerobot/scripts/generate_MetaWorld_datasets.py
Homepage: [More Information Needed]
Paper: [More Information Needed]
License: apache-2.0
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/aadarshram/metaworld_mt10.synthetic-emotions
Synthetic Emotions Dataset
Overview
Synthetic Emotions is a video dataset of AI-generated human emotions created using OpenAI Sora. It features short (5-sec, 480p, 9:16) videos depicting diverse individuals expressing emotions like happiness, sadness, anger, fear, surprise, and more.
This dataset is ideal for emotion recognition, facial expression analysis, affective computing, and AI-human interaction research.
Dataset Details
Total Videos: 100
Video Format:… See the full description on the dataset page: https://huggingface.co/datasets/aadityaubhat/synthetic-emotions.cleaned_legal_dataset
Indian Legal Judgments Data Analysis Dataset
Dataset Overview
Please check out the "Files and Versions" tab for the complete dataset structure and access all files.
This dataset contains a comprehensive collection of Indian legal judgments that have been systematically analyzed, cleaned, and structured for advanced legal research and AI applications. The dataset comprises two distinct versions: processed/cleaned judgments and raw scraped data, providing researchers with… See the full description on the dataset page: https://huggingface.co/datasets/aadityaJagdale/cleaned_legal_dataset.so101_bio_finalThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101",
"total_episodes": 50,
"total_frames": 22326,
"total_tasks": 1,
"total_videos": 100,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Aadhavan/so101_bio_final.GenQA
Dataset Card for "GenQA"
More Information needed
R-Star-Distillation-Backupsmultilingual_rksGenQA_mmlu
Dataset Card for "GenQA_mmlu"
More Information needed
ATP-Tennis-Matches-Dataset-2015-to-2025
ATP Tennis Matches Dataset (2015-2025)
Description
Comprehensive dataset of ATP Tour tennis matches from 2015 to 2025. Contains detailed match statistics, player information, and tournament data scraped from the official ATP Tour website. This dataset provides a complete overview of professional tennis matches over an 11-year period, suitable for sports analytics, machine learning projects, and statistical research.
Dataset Structure
Format: CSV… See the full description on the dataset page: https://huggingface.co/datasets/AaditTennis/ATP-Tennis-Matches-Dataset-2015-to-2025.ConverSeg
ConverSeg: Conversational Image Segmentation
ConverSeg is a benchmark for grounding abstract, intent-driven concepts into pixel-accurate masks. Unlike standard referring expression datasets, ConverSeg focuses on physical reasoning, affordances, and safety.
Dataset Structure
The dataset contains two splits:
sam_seeded: 1,194 samples generated via SAM2 + VLM verification.
human_annotated: 493 samples with human-drawn masks (initialized from COCO).
Licensing &… See the full description on the dataset page: https://huggingface.co/datasets/aadarsh99/ConverSeg.AADBPhoto Aesthetics Ranking Network with Attributes and Content Adaptation
Citation
@inproceedings{kong2016aesthetics,
title={Photo Aesthetics Ranking Network with Attributes and Content Adaptation},
author={Kong, Shu and Shen, Xiaohui and Lin, Zhe and Mech, Radomir and Fowlkes, Charless},
booktitle={ECCV},
year={2016}
}
apex_enemy_detect
Apex Legends Enemy Detection Dataset
Dataset for detecting players in Apex Legends gameplay footage.4 921 frames — 2 classes: enemy, mate.
Dataset Structure
Split
Images
Labels
train
3 937
3 937
val
984
984
images/
train/ # 3937 × .png
val/ # 984 × .png
labels/ # YOLO .txt, mirrors images/
dataset.yaml
Annotation Format
YOLO — each .txt contains one row per bounding box:
<class_id> <cx> <cy> <w> <h> # normalized… See the full description on the dataset page: https://huggingface.co/datasets/aadasdadasdsa/apex_enemy_detect.kyvo-datasets-and-codebooks
Kyvo Dataset and Codebooks Details
This document provides details about the dataset and codebooks provided in the kyvo-datasets-and-codebooks repository. We will provide the details about each of the folders in the repository and the contents of each folder.
Data Generation Pipeline
The pipeline that we follow to generate the pre-tokenized data is as follows:
3D Scenes: 3D Scene JSON --> Serialized 3D Scene --> Tokenized 3D Scene
Images: Image --> VQGAN Codebook… See the full description on the dataset page: https://huggingface.co/datasets/aadarsh99/kyvo-datasets-and-codebooks.kashmiri-text-datasetpython_codes_sampleGPT-wiki-intro
GPT Wiki Intro
Overview
Dataset for training models to classify human written vs GPT/ChatGPT generated text.
This dataset contains Wikipedia introductions and GPT (Curie) generated introductions for 150k topics.
Prompt used for generating text
200 word wikipedia style introduction on '{title}'
{starter_text}
where title is the title for the wikipedia page, and starter_text is the first seven words of the wikipedia introduction.
Here's an example of prompt used to… See the full description on the dataset page: https://huggingface.co/datasets/aadityaubhat/GPT-wiki-intro.so101_test1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101",
"total_episodes": 50,
"total_frames": 22571,
"total_tasks": 1,
"total_videos": 100,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Aadhavan/so101_test1.GenQA_academic
Dataset Card for "GenQA_academic"
More Information needed
stocks-AADHARHFC-1D-candlesmetaworld-door-open-v3
NOTE:
- All expert trajectories (100% success rate)
- 50 total episodes
- Camera view: 3rd-person Corner2 only out of ["corner", "corner2", "corner3", "topview", "behindGripper"]
- Generator script can be found here: https://github.com/aadarshram/lerobot/blob/MultiTask/src/lerobot/scripts/generate_MetaWorld_datasets.py---
license: apache-2.0
task_categories:
- robotics
tags:
- LeRobot
- metaworld
- robotics
- door-open-v3
configs:
- config_name: default
data_files: data//.parquet… See the full description on the dataset page: https://huggingface.co/datasets/aadarshram/metaworld-door-open-v3.so101_testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101",
"total_episodes": 2,
"total_frames": 1748,
"total_tasks":1,
"total_videos": 2,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:2"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Aadhavan/so101_test.sessionsso101_bio_test1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101",
"total_episodes": 2,
"total_frames": 755,
"total_tasks": 1,
"total_videos": 6,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:2"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Aadhavan/so101_bio_test1.ConverSeg-Training-Data
ConverSeg Training Data
This dataset contains image segmentation training data for ConverSeg. Each split is stored as a JSONL manifest plus zip archives of PNG images and PNG segmentation masks.
Dataset Layout
converseg_stage1_data/
open_vocabulary_regions_data/
open_vocabulary_regions_data.jsonl
images.zip
masks.zip
converseg_stage2_data/
conversational_negative_data/
conversational_negative_data.jsonl
images.zip
masks.zip… See the full description on the dataset page: https://huggingface.co/datasets/aadarsh99/ConverSeg-Training-Data.metaworld-drawer-close-v3This dataset was created using LeRobot.
Dataset Description
NOTE:
All expert trajectories (100% success rate)
50 total episodes
Camera view: 3rd-person Corner2 only out of ["corner", "corner2", "corner3", "topview", "behindGripper"]
Generator script can be found here: https://github.com/aadarshram/lerobot/blob/MultiTask/src/lerobot/scripts/generate_MetaWorld_datasets.py
Homepage: [More Information Needed]
Paper: [More Information Needed]
License: apache-2.0
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/aadarshram/metaworld-drawer-close-v3.aixbitss-aadhaar-synthetic