datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
robotwin_unifiedrabench-vlabench-unified-libero-v1
VLABench Data Prep
This directory contains an independent, non-Docker data conversion workflow for
turning lerobot/libero into an episode-based HDF5 format that is easier for
RABench agents to consume.
Goal
The source lerobot/libero dataset is distributed as:
parquet tables for numeric columns
mp4 video shards for image streams
separate metadata parquet files for tasks and episode boundaries
That structure is compact, but it is awkward for an agent to discover and use… See the full description on the dataset page: https://huggingface.co/datasets/BiggerXu/rabench-vlabench-unified-libero-v1.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.Unified_Agent_Framework
A Unified Framework for the Evaluation of LLM Agentic Capabilities
This repository contains the dataset (Benchmark, Toolkit, and Environment assets) for the paper A Unified Framework for the Evaluation of LLM Agentic Capabilities.
The official code and agent execution sandbox can be found on GitHub: whfeLingYu/A-Unified-Framework-for-the-Evaluation-of-LLM-Agentic-Capabilities.
Dataset Description
The dataset integrates diverse agent benchmarks into a standardized… See the full description on the dataset page: https://huggingface.co/datasets/whfeLingYu/Unified_Agent_Framework.danish-asr-unified
Danish ASR Unified Dataset
Unified Danish speech recognition dataset combining 7 sources (~3.5M samples, ~16k hours):
Source
Samples
Description
VoxPopuli
1,775,578
European Parliament recordings
ftspeech
995,677
Danish Parliament (Folketinget)
CoRal-v3 read_aloud
299,255
Read-aloud Danish speech
nst-da
182,605
NST Danish speech
CoRal-v3 conversation
147,249
Conversational Danish speech
nota
98,600
Danish broadcast media
Common Voice 17
3,484
Crowd-sourced… See the full description on the dataset page: https://huggingface.co/datasets/syvai/danish-asr-unified.majestrino-unified-detailed-captions
Majestrino Unified Detailed Captions
Filtered subset of laion/majestrino-data containing all samples with unified_detailed_caption.
Stats
4,658,407 samples
932 tar files (~1.1 GB each)
~1,017 GB total
Format
Each tar contains paired .flac + .json files.
JSON fields:
caption — the unified detailed caption
caption_type — always unified_detailed_caption
transcription — speech transcription (when available, normalized from multiple source keys)
duration — audio… See the full description on the dataset page: https://huggingface.co/datasets/TTS-AGI/majestrino-unified-detailed-captions.danish-asr-unified-hviske-v5-tiny
danish-asr-unified — two-model labels and a quality manifest
Transcriptions, per-token confidences, and a per-row quality verdict for every
row of syvai/danish-asr-unified
(3,414,589 rows, 8 sources).
Two independently trained models labelled the whole corpus:
model
architecture
vocabulary
syvai/hviske-v5-tiny
encoder-decoder
16,384 BPE
3dio-ai/svale-110M
RNN-T (Parakeet)
44 characters
Both decode greedily. Shards mirror the source data/train-*.parquet by name… See the full description on the dataset page: https://huggingface.co/datasets/syvai/danish-asr-unified-hviske-v5-tiny.nemotron-terminal-corpus-unifiedrobocasa_target_human_unifiedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "robocasa",
"total_episodes": 25307,
"total_frames": 14957899,
"total_tasks": 50,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 20,
"splits": {
"train": "0:25307"
},
"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/lerobot/robocasa_target_human_unified.farsi-asr-unified-cleaned
🎧 Farsi ASR Unified Dataset (Parquet Sharded Edition)
Overview
The Farsi ASR Unified Dataset is a large-scale, high-quality, and fully standardized collection of Persian (Farsi) speech-to-text data — designed specifically for modern machine learning and ASR (Automatic Speech Recognition) workflows.
This dataset consolidates audio–text pairs from multiple open sources, applies a rigorous cleaning and normalization pipeline, and stores everything efficiently in Parquet… See the full description on the dataset page: https://huggingface.co/datasets/kiarashQ/farsi-asr-unified-cleaned.EWT-Vacuum-Lattice-Unified-Physics
Enhanced EWT: BCC Vacuum Lattice Framework
This dataset contains the full theoretical and computational framework for the Enhanced Energy Wave Theory (EWT). It provides a deterministic derivation of fundamental physical constants using a Body-Centered Cubic (BCC) vacuum lattice geometry.
🎯 Key Breakthroughs
N_geometric = 8π⁴: Derivation of vacuum stiffness ($N$) from BCC lattice geometry.
G-constant Precision: Achieved absolute delta of 1.29e-25 vs CODATA 2022.… See the full description on the dataset page: https://huggingface.co/datasets/luksmol/EWT-Vacuum-Lattice-Unified-Physics.unified-agent-trajectories
Unified Benchmark Agent Trajectories
Dataset release: v2.1.1 (2026-09-18)Record format: unified-agent-sft-v1
A growing collection of benchmark agent execution trajectories converted into one
transparent, multimodal, tool-aware representation. These are complete recorded benchmark
runs—not ordinary chat transcripts—including benchmark tasks, model reasoning and answers,
tool calls, tool observations, runtime status, and benchmark scores when available. The
directory layout is… See the full description on the dataset page: https://huggingface.co/datasets/ChrisDing1105/unified-agent-trajectories.UnifiedReward-2.0-T2X-score-data
Dataset Summary
UnifiedReward-2.0-T2X-score-data is added for our UnifiedReward-2.0-qwen-[3b/7b/32b/72b] training.
This dataset enables UnifiedReward-2.0 introducing several new capabilities:
Pairwise scoring for image and video generation assessment on Alignment, Coherence, Style dimensions.
Pointwise scoring for image and video generation assessment on Alignment, Coherence/Physics, Style dimensions.
Welcome to try the latest version, and the inference code is available at… See the full description on the dataset page: https://huggingface.co/datasets/CodeGoat24/UnifiedReward-2.0-T2X-score-data.P3-unifiedCurrently contains the 35 datasets used for the T0 Held-in training. All tokenized inputs and targets are removed, and only the prompt/response are stored.
jetson1-062526-place-doris-aux-task-unified
jetson1-062526-place-doris-aux-task-unified
Recorded dataset — captured on jetson1 — 55 episodes · 6,369 frames @ 20 fps (~1 min of demonstration).
Tasks
Instruction
Episodes
place the cucumber on the middle of the cutting board, aligned vertically in the image, with the back end of the cucumber under the blue gripper
5
Recording
Rig
jetson1 (repo name)
Recorded
2026-06-25
Operator
dorischen
Episode sources
55… See the full description on the dataset page: https://huggingface.co/datasets/VibeCuisine/jetson1-062526-place-doris-aux-task-unified.cucumber-subtask-grab-DAgger-iter2-task-unified_aux
cucumber-subtask-grab-DAgger-iter2-task-unified_aux
Materialized collection — 150 episodes · 13,484 frames @ 20 fps (~11 min of demonstration).
Collection cucumber-subtask-grab-DAgger-iter2@v1 (frozen 2026-06-25), mode trim_rebuild — built by Vibe Data Studio; the machine-readable recipe in meta/vibedata/collection.json makes this dataset reproducible from its pinned components.
Tasks
Instruction
Episodes
grab the cucumber close to one of the cucumber's… See the full description on the dataset page: https://huggingface.co/datasets/VibeCuisine/cucumber-subtask-grab-DAgger-iter2-task-unified_aux.jetson1-062626-grab-doris-task-unified
jetson1-062626-grab-doris-task-unified
Recorded dataset — captured on jetson1 — 55 episodes · 3,828 frames @ 20 fps (~3 min of demonstration).
Tasks
Instruction
Episodes
grab the cucumber close to one of the cucumber's end
55
Recording
Rig
jetson1 (repo name)
Recorded
2026-06-26
Operator
dorischen
Episode sources
33 policy · 22 teleop
Assisting policy
VibeCuisine/jetson1-act-grab-DAgger-iter2-062526@cb1e1d15… See the full description on the dataset page: https://huggingface.co/datasets/VibeCuisine/jetson1-062626-grab-doris-task-unified.cucumber-subtask-grab-DAgger-iter2-task-unified-aux-collection-v1-flatThis 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/cucumber-subtask-grab-DAgger-iter2-task-unified-aux-collection-v1-flat.cucumber-subtask-grab-DAgger-iter2-task-unifiedThis 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/cucumber-subtask-grab-DAgger-iter2-task-unified.cucumber-grab-DAgger-iter3-task-unified-v1-flatThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "vibeboard_follower_tilt",
"total_episodes": 205,
"total_frames": 17312,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 20,
"splits": {
"train": "0:205"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/VibeCuisine/cucumber-grab-DAgger-iter3-task-unified-v1-flat.jetson1-060926-subtask-place-doris-aux-task-unifiedThis 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/jetson1-060926-subtask-place-doris-aux-task-unified.unified-vlm-steering-emu35
Emu3.5 (BAAI): activation steering sweeps
Steered text and image generations from Emu3.5 (BAAI), one of the unified vision-language models in the unified-vlm-steering project. Steering adds alpha * v_hat (the per-layer unit difference-of-means vector) to the residual stream at every layer of a layer config.
34B dense autoregressive model, 64 decoder layers (0-indexed). Images are 32x32 IBQ tokens (512 px), generated on BAAI's patched vLLM engine with request-id-keyed CFG. The… See the full description on the dataset page: https://huggingface.co/datasets/saintsauce/unified-vlm-steering-emu35.unified-vlm-steering-uniar
UniAR (ShareLab-SII/UniAR-RL): activation steering sweeps
Steered text and image generations from UniAR (ShareLab-SII/UniAR-RL), one of the unified vision-language models in the unified-vlm-steering project. Steering adds alpha * v_hat (the per-layer unit difference-of-means vector) to the residual stream at every layer of a layer config.
Qwen3-VL backbone, 36 decoder layers (0-indexed). Images are BSQ tokens rendered by an SD3 decoder (16 decoding steps, 544 px).… See the full description on the dataset page: https://huggingface.co/datasets/saintsauce/unified-vlm-steering-uniar.safedocs-markdown-200k-unifiedUnifiedIRunified-kannada-asr-1.0
Dataset Card for "unified-kannada-asr-1.0"
More Information needed
d24-unified-midtrain-anchors
Unified midtraining anchor pools
Private tokenized release. See release-manifest.json and audits/ for
the exact native round-trip hashes and redacted decontamination attestations.
unified-vlm-steering-liquid
Liquid (FoundationVision Liquid_V1_7B): activation steering sweeps
Steered text and image generations from Liquid (FoundationVision Liquid_V1_7B), one of the unified vision-language models in the unified-vlm-steering project. Steering adds alpha * v_hat (the per-layer unit difference-of-means vector) to the residual stream at every layer of a layer config.
Gemma-7B backbone, 28 decoder layers (0-indexed). Images are VQGAN codes (512 px), CFG 7.0, top-k 4096, top-p 0.96… See the full description on the dataset page: https://huggingface.co/datasets/saintsauce/unified-vlm-steering-liquid.unified-grammar
Unified Distributional Grammar (Greek + Latin + Hebrew)
NuBerea/unified-grammar — the j-layer construction × function × source × era matrix, mirroring the
shape of NuBerea/distributional-lexicon (lemma × sense × source × era) for grammar instead of
lexicon: every grammatical claim scoped, counted, basis-carrying (see METRIC SEMANTICS below), and traceable to corpus
instances, with traditional grammars (Smyth, Gesenius-Kautzsch-Cowley, Allen & Greenough) admitted only
as witness… See the full description on the dataset page: https://huggingface.co/datasets/NuBerea/unified-grammar.HUGGER-Unified-Gravity-Fluid-Framework
🌍 H.U.G.G.E.R: Heuristic Universal Grid & Gravity Equilibrium Rendering Tensor
This repository serves as an open academic archive and tensor-specification benchmark for generalized tensor standards, designed to resolve non-linear computational collapse and topological pole singularities in high-performance CFD and planetary atmospheric models.
It acts as the Macroscopic Gravitational Backbone, perfectly entangled with the microscopic Topological Zero Tensor (TZT)… See the full description on the dataset page: https://huggingface.co/datasets/jskresearch/HUGGER-Unified-Gravity-Fluid-Framework.