datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Recap-DataComp-1B
Dataset Card for Recap-DataComp-1B
Recap-DataComp-1B is a large-scale image-text dataset that has been recaptioned using an advanced LLaVA-1.5-LLaMA3-8B model to enhance the alignment and detail of textual descriptions.
Dataset Details
Dataset Description
Our paper aims to bridge this community effort, leveraging the powerful and open-sourced LLaMA-3, a GPT-4 level LLM.
Our recaptioning pipeline is simple: first, we fine-tune a LLaMA-3-8B powered… See the full description on the dataset page: https://huggingface.co/datasets/UCSC-VLAA/Recap-DataComp-1B.hnm-fashion-recommendations-data
Dataset Rekomendasi Fashion H&M
Dataset ini berisi data transaksi, atribut pelanggan, dan metadata produk yang telah dianonimkan dari H&M Group. Kumpulan data komprehensif ini memungkinkan pemodelan perilaku pembelian pelanggan secara mendalam.
Wawasan yang dihasilkan dapat dimanfaatkan untuk berbagai tujuan bisnis yang strategis, mulai dari meningkatkan personalisasi pengalaman berbelanja, mengoptimalkan manajemen inventaris untuk efisiensi produksi, hingga mendukung inisiatif… See the full description on the dataset page: https://huggingface.co/datasets/einrafh/hnm-fashion-recommendations-data.record-pick-and-place-pos5-so101This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 240,
"total_frames": 119443,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:240"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/hbseong/record-pick-and-place-pos5-so101.funes-handoff-recall-benchmark
handover-vs-recall
A long investigation bloats an agent session until each new turn costs more to carry the context than to
do the work. Switching to a fresh session avoids that — but the findings have to travel somehow, and the
ways of moving them differ in cost. This benchmark measures those ways, as cost per successful task,
on tasks that genuinely require the prior investigation:
arm
channel
A branch-only
switch, carry nothing — the fresh session re-derives the… See the full description on the dataset page: https://huggingface.co/datasets/dacorvo/funes-handoff-recall-benchmark.record-pick-and-place-so101This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 188,
"total_frames": 88161,
"total_tasks": 3,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:188"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/hbseong/record-pick-and-place-so101.mualem-recitations-original
المصاحف القرآنية
مصاحف مجمعمة من القراء المتقنين لبناء نماذج ذكاء اصطناعي لخدمة القرآن الكريم. أنظر هنا لأكواد بناء قاعدة التلاوات القرآنية
البيانات الوصفية للمصاحف
ds = load_dataset('obadx/mualem-recitations-original', name='moshaf_metadata')['train']
وصف أوجه حفص
Attribute Name
Arabic Name
Values
Default Value
More Info
rewaya
الرواية
- hafs (حفص)
The type of the quran Rewaya.
recitation_speed
سرعة التلاوة
- mujawad (مجود)-… See the full description on the dataset page: https://huggingface.co/datasets/obadx/mualem-recitations-original.recap-datacomp-12m-wdsevals-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 performance (transcriptions) of a specific ASR model and its version on that set.
Metrics Results
model
test
task
wer
cer… See the full description on the dataset page: https://huggingface.co/datasets/techiaith/evals-speech-recognition-cy-en.mualem-recitations-annotatedRecursive-Task-Synthesis
Recursive Task Synthesis
This dataset contains 37,484 validated command-line task instances produced
through recursive task synthesis. Public identifiers are opaque and stable.
metadata/tasks.parquet: one searchable row per task instance.
metadata/shard_manifest.jsonl: TAR sizes and SHA256 checksums.
data/tasks-*.tar: sanitized runnable task packages.
The searchable task rows include:
instruction: contents of instruction.md.
task_toml: contents of task.toml.
solution:… See the full description on the dataset page: https://huggingface.co/datasets/Zhongzhi1228/Recursive-Task-Synthesis.record-pick-and-place-ez2-so101This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 171,
"total_frames": 108092,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:171"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/hbseong/record-pick-and-place-ez2-so101.ReClor
ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning
This repository provides the dataset from the paper ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning.
We corrected the original format issues to ensure full compatibility with the Hugging Face Datasets library.
For more details, please visit the original project page.
Frappe_x1
Frappe_x1
Dataset description:
The Frappe dataset contains a context-aware app usage log, which comprises 96203 entries by 957 users for 4082 apps used in various contexts. It has 10 feature fields including user_id, item_id, daytime, weekday, isweekend, homework, cost, weather, country, city. The target value indicates whether the user has used the app under the context. Following the AFN work, we randomly split the data into 7:2:1 as the training set, validation set, and test set… See the full description on the dataset page: https://huggingface.co/datasets/reczoo/Frappe_x1.record-pick-and-place-ez-so101This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 110,
"total_frames": 84580,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:110"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/hbseong/record-pick-and-place-ez-so101.game-recordings-v3
OriginLab Game Recordings v0.3.0
Human gameplay captured in-engine under per-title licenses at 1080p / 60 FPS CFR on one shared frame clock: every stream starts at frame 0 and frame k matches frame k across pre-HUD and post-HUD RGB, surface normals, metric depth, audio, camera telemetry, keyboard and mouse inputs, in-engine action events and game state, and world telemetry — plus per-frame training tables.
Watch full playable previews of every modality, side by side and in… See the full description on the dataset page: https://huggingface.co/datasets/originlab/game-recordings-v3.ccrawl-recrawl-domains
Common Crawl Domain Recrawl
Live fetches of the home page of every ranked domain in Common Crawl's web graph, rendered to Markdown as they are fetched
What is it?
Common Crawl's web graph ranks domains by how central they are, but it does not tell you what those domains actually serve today. This dataset walks that ranking from the top and fetches each domain's home page now, storing the response as one Parquet row with the body, the headers, the timing and the… See the full description on the dataset page: https://huggingface.co/datasets/open-index/ccrawl-recrawl-domains.mjnj_flux32Recursive-Task-Synthesis-Trajectories
Recursive Task Synthesis Trajectories
This dataset contains 327,189 completed agent trajectories collected on
recursively synthesized command-line tasks. Public identifiers are opaque and
stable.
The trajectory JSON retains messages, actions, observations, and token counts.
Token-level log-probability arrays and duplicated debug/session captures are
excluded from the public packages.
metadata/trajectories.parquet: searchable trajectory metadata.
metadata/shard_manifest.jsonl:… See the full description on the dataset page: https://huggingface.co/datasets/Zhongzhi1228/Recursive-Task-Synthesis-Trajectories.alpha_bot_2_recover_after_touching_an_obstacle
alpha_bot_2_recover_after_touching_an_obstacle
📋 Overview
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
Robot Type: alpha_bot_2
| Codebase Version: v2.1
End-Effector Type: two_finger_gripper
🏠 Scene Types
This dataset covers the following scene types:
home
🤖 Atomic Actions
This dataset includes the following atomic actions:
pick
grasp
📊 Dataset Statistics… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/alpha_bot_2_recover_after_touching_an_obstacle.record-stacking-so101This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 119,
"total_frames": 119446,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:119"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/hbseong/record-stacking-so101.RecetasDeLaAbuela
Motivación inicial
Este corpus ha sido creado durante el Hackathon SomosNLP Marzo 2024: #Somos600M (https://somosnlp.org/hackathon).
Responde a una de las propuestas somosnlp sobre 'Recetas típicas por país/zona geográfica'.
Nombre del Proyecto
Este corpus o dataset se llama 'RecetasDeLaAbuel@' y es un homenaje a todas nuestr@s abuel@s que nos han enseñado a cocinar. Se trata de la mayor y más completa colección de recetas open-source en español de países… See the full description on the dataset page: https://huggingface.co/datasets/somosnlp/RecetasDeLaAbuela.recreate-bug-pre-fix-v1-trimThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 20,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos",
"tilt.pos"
]… See the full description on the dataset page: https://huggingface.co/datasets/VibeCuisine/recreate-bug-pre-fix-v1-trim.recreate-bug-post-fix-v1-trimThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 20,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos",
"tilt.pos"
]… See the full description on the dataset page: https://huggingface.co/datasets/VibeCuisine/recreate-bug-post-fix-v1-trim.aksahaha_crop-recommendation
crop recommendation
Crop Growth Recommendations: Optimal Conditions for Higher Yields
Dataset Info
Source: Kaggle
Original Size: 0.06 MB
Kaggle Downloads: 4,065
Files: 1
Files
Crop_recommendation.csv
Mirrored from Kaggle
190-RecycloBots-recyclobotsThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100",
"total_episodes": 50,
"total_frames": 84070,
"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/LeRobot-worldwide-hackathon/190-RecycloBots-recyclobots.ReCITE
ReCITE: Real-world CausalIty from Textual Evidence Benchmark
ReCITE (Real-world CausalIty from Textual Evidence) is a benchmark for evaluating LLMs on causal graph extraction from real-world scientific text. It contains 292 annotated causal graphs from open-access MDPI and PLOS articles spanning diverse OpenAlex fields.
Paper: Can Large Language Models Infer Causal Relationships from Real-World Text?
GitHub: ReCITE Repository
Dataset Configurations
This dataset has… See the full description on the dataset page: https://huggingface.co/datasets/RyanSaklad/ReCITE.sample_recovery-demonstrationThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "bi_widowxai_follower_robot",
"total_episodes": 60,
"total_frames": 53886,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:60"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/REBOOT26/sample_recovery-demonstration.RecruitView
🎥 RecruitView: Multimodal Dataset for Personality & Interview Performance for Human Resources Applications
Recorded Evaluations of Candidate Responses for Understanding Individual Traits
👋 Welcome to RecruitView
We are excited to introduce RecruitView, a robust multimodal dataset designed to push the boundaries of affective computing, automated personality assessment, and soft-skill evaluation.
In the realm of Human Resources and psychology, judging a candidate… See the full description on the dataset page: https://huggingface.co/datasets/AI4A-lab/RecruitView.Crop-recommendationccrawl-recrawl-urls
Common Crawl URL Recrawl
Live refetches of pages from Common Crawl's URL index, with the body inline and the text already extracted
What is it?
Common Crawl publishes which URLs it saw and when, but the page bodies live in WARC archives that are awkward to query and are as old as the crawl that made them. This dataset takes the URL index for a single monthly crawl and fetches the pages again now, storing each response as one Parquet row with the body, the… See the full description on the dataset page: https://huggingface.co/datasets/open-index/ccrawl-recrawl-urls.