datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
laion-tts-annotated-v1
LAION TTS Annotated v1
107,563,551 annotated speech utterances across six subsets — with the audio, the codec tokens
and the annotations, all joined by one key.
283,681 audio-hours. Per utterance: the transcript with word-level timings, 40 emotion
intensities, 57 VoiceNet voice-character dimensions, four audio-quality heads, vocal-burst
detections with timings, and a natural-language caption describing the voice and the
delivery — plus the audio itself, its… See the full description on the dataset page: https://huggingface.co/datasets/laion/laion-tts-annotated-v1.wildchat_creative_writing_annotated_10klaion-voice-profiles-annotated
Synthetic Voice-Profile Performances
Authors: Christoph Schuhmann and LAION.
28,212,933 utterances / 71,056 hours of synthetic English and German voice-acting speech from
500 distinct voice profiles, each driven through the same fixed matrix of 842 named acting
conditions. Every
utterance carries 40 emotion intensities, 57 perceptual voice dimensions, 4 audio-quality heads,
vocal-burst detections with timings, word-level forced alignment, MOSS audio codec tokens, a
768-d… See the full description on the dataset page: https://huggingface.co/datasets/laion/laion-voice-profiles-annotated.muaalem-annotated-v3
قاعدة بيانات المعلم القرآنية
هذه ال dataset هي جزء من مشروع الملم الرقرآني: quran-muaalem وهي تهدف لكشف أخاطاء التجويد عن طريق رسم صوتي يصف كل قواعد التجويد وصفات الحروف: quran-trainscript
وصف قاعدة بيانات العلم
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/muaalem-annotated-v3', name='moshaf_metadata')['train']
وصف… See the full description on the dataset page: https://huggingface.co/datasets/obadx/muaalem-annotated-v3.fitcheck-annotate-datasetfineweb_annotatedr1_annotated_aimeMalaysian-Emilia-annotated
Malaysian Emilia Annotated
Annotate Malaysian-Emilia using Data-Speech pipeline.
Malaysian Youtube
Originally from malaysia-ai/crawl-youtube
Total 3168.8 hours.
Gender prediction, filtered-24k_processed_24k_gender.zip
Language prediction, filtered-24k_processed_language.zip
Force alignment.
Post cleaned to 24k and 44k sampling rates,
24k, filtered-24k_processed_24k.zip
44k, filtered-24k_processed_44k.zip
Synthetic description… See the full description on the dataset page: https://huggingface.co/datasets/mesolitica/Malaysian-Emilia-annotated.GAIA-annotatedopenthoughts-4-math-qwen3-32b-7k-annotated-sharegptopen-thoughts-4-30k-math-qwen3-32b-annotated-32768-tokens-n8-reformatted-selfconsistency
Dataset Card for Open-Thoughts-4-30K-Math-Qwen3-32B-Annotated-32768-Tokens-N8-Reformatted-SelfConsistency
Overview
This dataset is a self-consistency filtered version of marin-community/open-thoughts-4-30k-math-qwen3-32b-annotated-32768-tokens-n8-reformatted. For each prompt, 8 responses were generated by Qwen3-32B with different random seeds. A majority vote was taken over the final answers (extracted from \boxed{...}) to determine the most popular answer, and only… See the full description on the dataset page: https://huggingface.co/datasets/marin-community/open-thoughts-4-30k-math-qwen3-32b-annotated-32768-tokens-n8-reformatted-selfconsistency.finevisionmax-annotatedmualem-recitations-annotatedelements_annotated_tables_4500_docs
Dataset
🚀 Progress
Last update (UTC): 2025-11-11 15:40:21Z
Documents processed: 4500 / 500058
Batches completed: 30
Total pages/rows uploaded: 89882
Latest batch summary
Batch index: 30
Docs in batch: 150
Pages/rows added: 1487
Urdu-ONYX-WAV-kanade-Annotated
Urdu-ONYX-WAV-real-Annotated
Enhanced version of Urdu-ONYX-WAV-real with phoneme annotations and Kanade tokenizer features.
Dataset Statistics
Total Samples: 26,217
Total Duration: 42.77 hours
Average Duration: 5.87 seconds
Duration Range: 0.65s - 122.23s
Average Phonemes: 18.5 per sample
Average Kanade Tokens: 151.1 per sample
Global Embedding Dimension: 128
New Columns
This dataset adds the following columns:
duration (float): Audio duration in seconds… See the full description on the dataset page: https://huggingface.co/datasets/humair025/Urdu-ONYX-WAV-kanade-Annotated.muaalem-annotated-v3
قاعدة بيانات المعلم القرآنية
هذه ال dataset هي جزء من مشروع الملم الرقرآني: quran-muaalem وهي تهدف لكشف أخاطاء التجويد عن طريق رسم صوتي يصف كل قواعد التجويد وصفات الحروف: quran-trainscript
وصف قاعدة بيانات العلم
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/muaalem-annotated-v3', name='moshaf_metadata')['train']… See the full description on the dataset page: https://huggingface.co/datasets/nour-world/muaalem-annotated-v3.PARHAF-response_to_treatment-annotated
Dataset Card for PARHAF-response_to_treatment-annotated
Reporting Issues & Contributing
If you encounter any errors or inconsistencies in this dataset, please report them in the discussion section of the "Community" tab on Hugging Face.
For more substantial contributions or collaboration opportunities, feel free to contact us directly.
Dataset Summary
PARHAF-response_to_treatment-annotated is a subpart of the PARHAF corpus, an open French corpus of… See the full description on the dataset page: https://huggingface.co/datasets/HealthDataHub/PARHAF-response_to_treatment-annotated.synthvision-annotated-qwen
synthvision-annotated-qwen
Medical images annotated by Qwen 3.5 (397B) via Doubleword
Records: 59,476
About
First-half annotations from the SynthVision pipeline. 59,476 medical images annotated by Qwen 3.5 (397B MoE, 17B active) via Doubleword batch inference.
Each record contains a multi-turn clinical conversation (5-9 turns), a clinical narrative report, structured findings, reasoning chain, and difficulty rating.
Schema
id: str #… See the full description on the dataset page: https://huggingface.co/datasets/OpenMed/synthvision-annotated-qwen.final_dataset_annotatedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
6
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/MinhDuk/final_dataset_annotated.COCO-Wholebody-annotatedopen-thoughts-4-math-qwen3-32b-annotated
Dataset Card for Open-Thoughts-4-Math-Qwen3-32B-Annotated
This dataset is the Qwen3-32B annotated version of mlfoundations-dev/hero_run_4_math curated by the
OpenThoughts4 team. We provide the responses from Qwen3-32B in the generated_text column. These samples were generated using temperature = 0.8 and max output tokens = 7,500.
We note that many of the responses are truncated, so use this dataset wisely!
Dataset Details
Dataset Description… See the full description on the dataset page: https://huggingface.co/datasets/marin-community/open-thoughts-4-math-qwen3-32b-annotated.InfraRed_Photos_Annotated_for_Birds_DetectionDataset created using Intel Geti. This dataset was created while working on Master thesis at Warsaw University of Technology. Code and more additional info about the project is available here: DecisionSystemFeeder.
The model based on YOLO trained on this dataset using Intel Geti was published here: Infrared_Bird_Detection
synthvision-annotated-kimi
synthvision-annotated-kimi
Medical images annotated by Kimi K2.5 via Doubleword
Records: 59,539
About
Second-half annotations from the SynthVision pipeline. 59,539 medical images annotated by Kimi K2.5 (1T MoE, 32B active) via Doubleword batch inference.
Each record contains a multi-turn clinical conversation (5-9 turns), a clinical narrative report, structured findings, reasoning chain, and difficulty rating.
Schema
id: str # unique… See the full description on the dataset page: https://huggingface.co/datasets/OpenMed/synthvision-annotated-kimi.openthoughts3_code_100k_annotated_QwQ-32B_sharegpt_eval_5554
mlfoundations-dev/openthoughts3_code_100k_annotated_QwQ-32B_sharegpt_eval_5554
Precomputed model outputs for evaluation.
Evaluation Results
Summary
Metric
AIME24
AMC23
MATH500
MMLUPro
JEEBench
GPQADiamond
LiveCodeBench
CodeElo
CodeForces
HLE
HMMT
AIME25
LiveCodeBenchv5
Accuracy
34.3
74.5
79.4
49.4
51.0
44.3
53.9
21.5
23.1
12.2
17.0
22.7
40.1
AIME24
Average Accuracy: 34.33% ± 1.89%
Number of Runs: 10
Run
Accuracy
Questions… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/openthoughts3_code_100k_annotated_QwQ-32B_sharegpt_eval_5554.math_stratos_scale_judged_and_annotated_with_difficultyrobocasa_pretrain_human300_v4_annotated5This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 20,
"features": {
"observation.images.robot0_agentview_left": {
"dtype": "video",
"shape": [
256,
256,
3
],
"names": [
"height",
"width",
"channel"
],
"video_info": {… See the full description on the dataset page: https://huggingface.co/datasets/pepijn223/robocasa_pretrain_human300_v4_annotated5.speech_commands_enriched_and_annotated
Dataset Summary
📊 Data-centric AI principles have become increasingly important for real-world use cases.At Renumics we believe that classical benchmark datasets and competitions should be extended to reflect this development.
🔍 This is why we are publishing benchmark datasets with application-specific enrichments (e.g. embeddings, baseline results, uncertainties, label error scores). We hope this helps the ML community in the following ways:
Enable new researchers to quickly… See the full description on the dataset page: https://huggingface.co/datasets/soerenray/speech_commands_enriched_and_annotated.openthoughts-4-code-qwen3-32b-32k-annotatedCEFR-Annotated-WordNet
CEFR-Annotated WordNet: LLM-Based Proficiency-Guided Semantic Database for Language Learning
Paper: CEFR-Annotated WordNet: LLM-Based Proficiency-Guided Semantic Database for Language Learning
Authors: Masato Kikuchi, Masatsugu Ono, Toshioki Soga, Tetsu Tanabe, Tadachika Ozono
Overview
CEFR-Annotated WordNet is a comprehensive semantic database that maps WordNet 3.0 senses and SemCor 3.0 instances to CEFR (Common European Framework of Reference for Languages)… See the full description on the dataset page: https://huggingface.co/datasets/star092304/CEFR-Annotated-WordNet.omx_multicubes_annotatedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/maximellerbach/omx_multicubes_annotated.