datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
blended_skill_talk
Dataset Card for "blended_skill_talk"
Dataset Summary
A dataset of 7k conversations explicitly designed to exhibit multiple conversation modes: displaying personality, having empathy, and demonstrating knowledge.
Supported Tasks and Leaderboards
More Information Needed
Languages
More Information Needed
Dataset Structure
Data Instances
default
Size of downloaded dataset files: 38.11 MB
Size of the generated dataset:… See the full description on the dataset page: https://huggingface.co/datasets/ParlAI/blended_skill_talk.Unified-FeedbackCollections of pairwise feedback datasets.
openai/summarize_from_feedback
openai/webgpt_comparisons
Dahoas/instruct-synthetic-prompt-responses
Anthropic/hh-rlhf
lmsys/chatbot_arena_conversations
openbmb/UltraFeedback
argilla/ultrafeedback-binarized-preferences-cleaned
berkeley-nest/Nectar
Codes to reproduce the dataset: jdf-prog/UnifiedFeedback
Dataset formats
{
"id": "...",
"conv_A": [
{
"role": "user",
"content": "...",
},
{
"role": "assistant"… See the full description on the dataset page: https://huggingface.co/datasets/llm-blender/Unified-Feedback.UltraEdit_500k
Dataset Card for Dataset Name
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): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/BleachNick/UltraEdit_500k.UltraEdit_Region_Based_100k
Bibtex citation
@misc{zhao2024ultraeditinstructionbasedfinegrainedimage,
title={UltraEdit: Instruction-based Fine-Grained Image Editing at Scale},
author={Haozhe Zhao and Xiaojian Ma and Liang Chen and Shuzheng Si and Rujie Wu and Kaikai An and Peiyu Yu and Minjia Zhang and Qing Li and Baobao Chang},
year={2024},
eprint={2407.05282},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2407.05282},
}
BlenderRAG
BlenderRAG Dataset
A dataset for 3D scene and object generation research. Each sample pairs a Blender Python script that procedurally generates a 3D object with a rendered preview image and a natural-language description.
Dataset Summary
The dataset is organized into two top-level scenes — indoor and outdoor — each containing a collection of objects. Every object is represented by three aligned modalities:
File
Modality
Purpose
code_n.py
Python (Blender API)… See the full description on the dataset page: https://huggingface.co/datasets/MaxRondelli/BlenderRAG.MIC_sampledblendBLEnD-Vis
BLEnD-Vis
BLEnD-Vis is a benchmark for evaluating vision-language models (VLMs) on culturally grounded multiple-choice questions, including a text-only setting and a visual setting with generated images.
Paper: https://arxiv.org/abs/2510.11178
Dataset repo: https://huggingface.co/datasets/Incomple/BLEnD-Vis
Code: https://github.com/Social-AI-Studio/BLEnD-Vis
Source
BLEnD-Vis is derived from the BLEnD dataset on Hugging Face (nayeon212/BLEnD).
What is in… See the full description on the dataset page: https://huggingface.co/datasets/Incomple/BLEnD-Vis.AIRBOT_MMK2_store_beauty_blender_and_building_blocks
AIRBOT_MMK2_store_beauty_blender_and_building_blocks
📋 Overview
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
Robot Type: discover_robotics_aitbot_mmk2
| Codebase Version: v2.1
End-Effector Type: five_finger_hand
🏠 Scene Types
This dataset covers the following scene types:
home
🤖 Atomic Actions
This dataset includes the following atomic actions:
grasp
place
pick
📊… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/AIRBOT_MMK2_store_beauty_blender_and_building_blocks.AIRBOT_MMK2_pour_out_the_beauty_blender
AIRBOT_MMK2_pour_out_the_beauty_blender
📋 Overview
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
Robot Type: discover_robotics_aitbot_mmk2
| Codebase Version: v2.1
End-Effector Type: five_finger_hand
🏠 Scene Types
This dataset covers the following scene types:
home
🤖 Atomic Actions
This dataset includes the following atomic actions:
grasp
place
pick
📊 Dataset… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/AIRBOT_MMK2_pour_out_the_beauty_blender.thermal_mixer-blenderThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": null,
"total_episodes": 100,
"total_frames": 79278,
"total_tasks": 100,
"total_videos": 200,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 50,
"splits": {
"train": "0:100"
},
"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/autobio-bench/thermal_mixer-blender.thermal_cycler_close-blenderThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": null,
"total_episodes": 100,
"total_frames": 106292,
"total_tasks": 1,
"total_videos": 200,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 50,
"splits": {
"train": "0:100"
},
"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/autobio-bench/thermal_cycler_close-blender.pipette-blenderThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": null,
"total_episodes": 100,
"total_frames": 71014,
"total_tasks": 1,
"total_videos": 300,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 50,
"splits": {
"train": "0:100"
},
"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/autobio-bench/pipette-blender.thermal_cycler_open-blenderThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": null,
"total_episodes": 100,
"total_frames": 84994,
"total_tasks": 1,
"total_videos": 200,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 50,
"splits": {
"train": "0:100"
},
"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/autobio-bench/thermal_cycler_open-blender.insert-blenderThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": null,
"total_episodes": 100,
"total_frames": 55127,
"total_tasks": 10,
"total_videos": 200,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 50,
"splits": {
"train": "0:100"
},
"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/autobio-bench/insert-blender.task1418_bless_semantic_relation_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1418_bless_semantic_relation_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1418_bless_semantic_relation_classification.Indspeech-Augmented-Dataset-10000-20000insert_centrifuge_5430-blenderThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": null,
"total_episodes": 100,
"total_frames": 54329,
"total_tasks": 1,
"total_videos": 200,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 50,
"splits": {
"train": "0:100"
},
"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/autobio-bench/insert_centrifuge_5430-blender.BlenderCAD2screw_tighten-blenderThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": null,
"total_episodes": 100,
"total_frames": 154830,
"total_tasks": 1,
"total_videos": 300,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 50,
"splits": {
"train": "0:100"
},
"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/autobio-bench/screw_tighten-blender.BLEUBERI-Tulu3-50k[Paper] [HF Collection] [Code]
Authors: Yapei Chang, Yekyung Kim, Michael Krumdick, Amir Zadeh, Chuan Li, Chris Tanner, Mohit Iyyer
Contact: yapeic@umd.edu
TLDR > We extend RLVR beyond easily verifiable domains like math and code to the more open-ended setting of general instruction following. Surprisingly, we find that BLEU—a simple n-gram matching metric—when paired with high-quality references from strong LLMs, achieves human agreement comparable to 8B and 27B reward models on Chatbot… See the full description on the dataset page: https://huggingface.co/datasets/yapeichang/BLEUBERI-Tulu3-50k.CIFAR100-Blended-20pct-Backdoor-ExclNaturaltask1582_bless_hypernym_generation
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1582_bless_hypernym_generation
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1582_bless_hypernym_generation.pickup-blenderThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": null,
"total_episodes": 100,
"total_frames": 49959,
"total_tasks": 1,
"total_videos": 200,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 50,
"splits": {
"train": "0:100"
},
"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/autobio-bench/pickup-blender.screw_loose-blenderThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": null,
"total_episodes": 100,
"total_frames": 136834,
"total_tasks": 1,
"total_videos": 300,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 50,
"splits": {
"train": "0:100"
},
"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/autobio-bench/screw_loose-blender.task1583_bless_meronym_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1583_bless_meronym_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1583_bless_meronym_classification.red-team-unified-datasetCraftBenchcooperdata-v3-midtrain-blend
CooperData v3 — Midtraining Blend (Qwen3.5-9B cooperative SWE agents)
All-token midtraining mixture that bridges Qwen/Qwen3.5-9B (instruct) toward the cooperative
multi-agent SWE-coding SFT distribution. One document per row (text, tagged by source) — NOT
packed — so trl.SFTTrainer(packing=False) tokenizes per-doc and the Gated-DeltaNet recurrence
stays per-document. ~390M tokens.
Composition
source
tokens
share
role
web
210.0M
54%
general
math
55.0M… See the full description on the dataset page: https://huggingface.co/datasets/CooperBench/cooperdata-v3-midtrain-blend.bleep-spans
Bleep spans — synthetic sensitive-speech regions with frame-accurate labels
Where sensitive information is spoken, and what kind it is — never what was
said.
Every recording is synthetic. No real telephone call, clinical recording, or any
other real speech was used, recorded, or derived from at any stage.
🤗 Model: NagaYu/bleep-0.09b
🎛️ Demo: NagaYu/bleep
What a row contains
utt_id, voice_key, condition, duration, subsets, and three parallel
arrays —… See the full description on the dataset page: https://huggingface.co/datasets/NagaYu/bleep-spans.