datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
propella-annotations
This dataset contains document annotations produced with propella-1-4b, a small multilingual LLM that annotates text documents across six categories: core content, classification, quality & value, audience & purpose, safety & compliance, and geographic relevance. The annotations can be used to filter, select, and curate LLM training data at scale.
Properties
Each document is annotated across 18 properties organized into six categories:
Category
Property
Description… See the full description on the dataset page: https://huggingface.co/datasets/openeurollm/propella-annotations.gsd-humaneval-annotationsTruebones-ZOO-Annotations
Truebones ZOO Annotations
Text prompts, per-clip metadata, rest-pose renders and the exact build pipeline for
Truebones ZOO — 1,097 animal motion clips across 74 skeletons: mammals, birds,
reptiles, insects, marine and prehistoric creatures. 1.02 hours, 111,158 frames, uniformly
30 fps. Rigs range from 9 to 143 joints; clips from 0.3 to 18.5 seconds.
The motion files themselves are not in this repository. Truebones ZOO is a commercial
library by Truebones Motions Animation… See the full description on the dataset page: https://huggingface.co/datasets/tanish434/Truebones-ZOO-Annotations.beat2-additional-annotations
BEAT2 Official Release + Additional Annotations
This is a fork of H-Liu1997/BEAT2
that adds annotations contributed by the
RAG-Gesture (CVPR 2025)
and MIBURI (CVPR 2026) projects.
The base BEAT2-English data (motion, audio, TextGrids, semantic labels,
pretrained motion-autoencoder weights) is inherited verbatim from upstream;
the additional annotations from RAG-Gesture and MIBURI are pushed on top.
Citations
If you use only the original BEAT2 dataset, please cite… See the full description on the dataset page: https://huggingface.co/datasets/m-hamza-mughal/beat2-additional-annotations.cue-annotations
CUE annotations
533,001 persona-manual annotations over 28 public dialogue corpora, one config per corpus, split
train / validation. Each row describes how the user in one conversation behaves.
This was used as a training dataset for the CUE user simulator model.
No dialogue text is redistributed
Rows carry provenance and a hash, not the source turns:
column
meaning
persona_manual
the annotation, a JSON string (json.loads it)
source_repo… See the full description on the dataset page: https://huggingface.co/datasets/handshake-ai-research/cue-annotations.JQL-LLM-Edu-Annotations
📚 JQL Educational Quality Annotations from LLMs
This dataset provides 17,186,606 documents with high-quality LLM annotations for evaluating the educational value of web documents, and serves as a benchmark for training and evaluating multilingual LLM annotators as described in the JQL paper.
📝 Dataset Summary
Multilingual document-level quality annotations scored on a 0–5 educational value scale by three state-of-the-art LLMs:
Gemma-3-27B-it, Mistral-3.1-24B-it… See the full description on the dataset page: https://huggingface.co/datasets/JQL-AI/JQL-LLM-Edu-Annotations.Emilia-with-Emotion-Annotations2Emilia-with-Emotion-Annotations4python-edu-annotations
Annotations for 📚 Python-Edu classifier
This dataset contains the annotations used for training Python-Edu educational quality classifier. We prompt Llama-3-70B-Instruct to score python programs from StarCoderData based on their educational value.
Note: the dataset contains the Python program, the prompt (using the first 1000 characters of the program) and the scores but it doesn't contain the full Llama 3 generation.
ProcVQA-20M-annotations
ProcVQA-20M Annotations
Project Page |
arXiv |
Code |
Model |
Media
This repository contains the text annotations for the ProcVQA-20M dataset. The full image files are hosted separately on ProcVQA-20M-media.
Overview
This dataset is constructed from over 26 embodied datasets, comprising:
20M QA pairs for training
330K original trajectories
50M annotated frames from ~5,000 hours of manipulation data
200+ different tasks
Dataset Structure
The… See the full description on the dataset page: https://huggingface.co/datasets/ce-amtic/ProcVQA-20M-annotations.vast27m_annotations
VAST-27M Annotations Dataset
This dataset contains annotations from the VAST-27M dataset, originally created for the paper "VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset" by Chen et al. (2024).
Original Source
This dataset is derived from the VAST-27M dataset, which was created by researchers at the University of Chinese Academy of Sciences and the Institute of Automation, Chinese Academy of Science. The original dataset and more… See the full description on the dataset page: https://huggingface.co/datasets/it-just-works/vast27m_annotations.fineweb-edu-llama3-annotations
Annotations for 📚 FineWeb-Edu classifier
This dataset contains the annotations used for training 📚 FineWeb-Edu educational quality classifier. We prompt Llama-3-70B-Instruct to score web pages from 🍷 FineWeb based on their educational value.
Note: the dataset contains the FineWeb text sample, the prompt (using the first 1000 characters of the text sample) and the scores but it doesn't contain the full Llama 3 generation.
Emilia-with-Emotion-Annotations3Truebones-ZOO-Annotations
Truebones ZOO Annotations
Text prompts, per-clip metadata, rest-pose renders and the exact build pipeline for
Truebones ZOO — 1,097 animal motion clips across 74 skeletons: mammals, birds,
reptiles, insects, marine and prehistoric creatures. 1.02 hours, 111,158 frames, uniformly
30 fps. Rigs range from 9 to 143 joints; clips from 0.3 to 18.5 seconds.
The motion files themselves are not in this repository. Truebones ZOO is a commercial
library by Truebones Motions Animation… See the full description on the dataset page: https://huggingface.co/datasets/Linzhan/Truebones-ZOO-Annotations.Emilia-with-Emotion-Annotations5TrialGPT-Criterion-AnnotationsGUI-Net-1M-relative-annotationsTurkWeb-Edu-AnnotationsV3
TurkWeb-Edu V3
Model: Qwen/Qwen3-30B-A3B-Instruct-2507
Format: Structured JSON (vLLM 0.15.0)
SEED-Timeline-Annotations
Timeline Annotations for BONES-SEED Humanoid Motion Dataset
Dataset Description:
This dataset provides additional text description annotations from the BONES-SEED humanoid motion dataset. For each motion, this dataset provides an overview text description of the entire motion at a high level, along with a “timeline” of annotated segments within the motion. Each segment generally contains a single atomic action and is defined by a start time, end time, and text… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/SEED-Timeline-Annotations.egoproactive-synth-annotations
EgoProactive synthetic proactive annotations
Everything produced by the annotation and synthesis pipelines for the AI Wearables Challenge 2026 EgoProactive
Dense timestamped proactive walkthroughs generated with the ambient agent
(orchestrator deepseek/deepseek-v4-flash-0731 + vision Qwen3.6-27B),
using the held-out-validated dense policy (setup-phase coverage, repetition-collapse,
fire-at-onset) and a -0.5s onset correction at chunk-binning.
set
clips
median events/clip… See the full description on the dataset page: https://huggingface.co/datasets/ambient-intelligence-labs/egoproactive-synth-annotations.longfact-annotationsGUI-Net-1M-absolute-annotationsCEFR-Sentence-Level-Annotations
Dataset Card for Dataset Name
17k english sentences annotated by english education professionals. Original repo for CEFR-SP is located at this repo
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP):… See the full description on the dataset page: https://huggingface.co/datasets/edesaras/CEFR-Sentence-Level-Annotations.cossmos-annotations-db
ARSMA-web motif annotations (cossmos-annotations-db)
Per-motif annotation: base pairs, stacking, sugar puckers, glycosidic
conformations and the deposition metadata of the parent entry. It backs the
motif browser of ARSMA-web.
This is not the occurrence count. One row of instances.parquet is one
annotated motif site, and the table has 283,164 of them against 285,165 clips in
houlab/motif-db. The two differ because the annotation rows of the 25 CoSSMos
classes are CoSSMos's own… See the full description on the dataset page: https://huggingface.co/datasets/houlab/cossmos-annotations-db.emolia-voicenet-gemini-annotations
Emolia VoiceNet Gemini Annotations
468,180 dimension-level annotations over 236,613 Emolia speech clips,
each scored 0-6 (0-2 for the content-safety dimension) on one of 57 perceptual
voice / speech dimensions - arousal, valence, brightness, resonance placement, speaking
styles, genuineness, recording quality, and more - by Gemini 3.5 Flash (non-thinking,
temperature 0). This repository ships the annotations, audio provenance, per-dimension
statistics, and the full scoring… See the full description on the dataset page: https://huggingface.co/datasets/laion/emolia-voicenet-gemini-annotations.egolongqa-synth-annotations
EgoLongQA synthetic MCQs, teacher traces and annotation outputs
Everything produced by the annotation and synthesis pipelines for the AI Wearables Challenge 2026
EgoLongQA ≤2B track, other than the distillation set (which lives in
infinitylogesh/egolongqa-junior-distill).
⚠️ Read this before counting rows
The synthetic set is 943 questions over 408 videos, and it is stored two ways:
file
rows
shape
training_sets/train_synth_v3.jsonl
943
flat — one row… See the full description on the dataset page: https://huggingface.co/datasets/ambient-intelligence-labs/egolongqa-synth-annotations.emboss-roof-annotations
Emboss 3D Roof Reference Annotations
Manual 3D reference meshes and editable annotations for Swiss and Brazilian buildings, prepared for the evaluation and parameter tuning of Emboss. The annotations describe building and roof geometry, including roof superstructures.
Emboss source code
3dlabel annotation tool
Emboss segmentation model
Example reference annotation in 3dlabel: annotated mesh and LiDAR points (Figure D.1(a) in the paper).
longfact-augmented-annotationsforest-fire-annotations
Forest Fire Detection Dataset — Auto-Annotated
Bounding-box annotated version of touati-kamel/forest-fire-dataset,
built for training forest-fire / smoke / fog object detection models.
Overview
This dataset contains video frames auto-labeled with bounding boxes for fire and
smoke-related visual phenomena, using a zero-shot open-vocabulary object detector
(Grounding DINO). It is derived from the original touati-kamel/forest-fire-dataset image
classification dataset… See the full description on the dataset page: https://huggingface.co/datasets/touati-kamel/forest-fire-annotations.kwext-bilibili-video-title-annotations
KwExt Bilibili Video Title Annotations
This dataset is a model-assisted annotation set for the KwExt keyword
extraction project. The current snapshot contains 5,000 Chinese Bilibili
video titles from annotation stages video_title_zh_001 through
video_title_zh_005, with 1,000 records in each stage.
The release is intended for early experiments with:
extracting title-grounded keywords and ranking their importance;
broad semantic tags for retrieval and RAG metadata;
dense tag… See the full description on the dataset page: https://huggingface.co/datasets/Himpq/kwext-bilibili-video-title-annotations.