datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
safedocs-1M-muse-spark-1.3-judged
SafeDocs: Muse Spark 1.3 judge annotations
Incrementally published, one complete shard per commit. All original source columns,
images, complete Paddle JSON, rows and row order are preserved. No language or quality
filtering. New columns: judge_verdict (PERFECT/ERROR), judge_reason, judge_status,
and judge_error. Operational failures retain the original page with a null verdict
and reason, status failed, and a diagnostic in judge_error; they are not OCR ERRORs.
Direct Meta API… See the full description on the dataset page: https://huggingface.co/datasets/albertklorer/safedocs-1M-muse-spark-1.3-judged.MuseVLA-dataset
MuseVLA Dataset
Multi-modal robot manipulation dataset with synchronized RGB, depth, acoustic,
thermal, and radar streams. Released as two parts (dataset_01/,
dataset_02/) sharing the same per-episode layout. Together they cover
~1400 episodes across 11 instructions (towel / clothes / box / item / drink
manipulation).
Per-episode contents
{episode_name}/
├── video.mp4 # RGB, 1280×720, 30 fps
├── mask/video.mp4 #… See the full description on the dataset page: https://huggingface.co/datasets/microsoft/MuseVLA-dataset.Muse-Glimmer-SWE-Gym-2k
Muse-Glimmer-SWE-Gym-2k
Agentic coding traces from meta-models/Muse-Glimmer-30B, recorded for training a
speculative-decoding drafter. 1,981 mini-swe-agent trajectories over SWE-Gym and
SWE-bench-extra instances, and the 159,999 individual chat-completion calls behind them.
Configs
Config
Rows
Size
What it is
train
1,981
57 MB
One row per trajectory: the full conversation as messages.
raw
159,999
2.7 GB
One row per recorded API call: request and… See the full description on the dataset page: https://huggingface.co/datasets/Satgoy152/Muse-Glimmer-SWE-Gym-2k.MUSES
MUSES: a benchmark for Marked Unevenly Spaced Event Sequences
MUSES, a benchmark for Marked Unevenly Spaced Event Sequences, is a collection of unevenly spaced time series datasets from various domains, containing marked events for training and evaluating prediction approaches.
Languages
All the columns and classes (when textual) in MUSES are in English (BCP-47 en)
Dataset Structure
Data Instances
All datasets formatting follows… See the full description on the dataset page: https://huggingface.co/datasets/ddrg/MUSES.muse-k2-vision-pilot-20260910
Muse → K2 bridge: first training experiment
Prepared September 10, 2026. This experiment tests whether training a connector
lets the frozen IFM/K2-Horizon-7B decoder use the existing Muse-Glimmer visual
encoder. It does not retrain the vision encoder or K2, and it does not establish
general screenshot, document, natural-image, or visual reasoning capability.
Authorized budget and selected first hardware
The user authorized an initial inexpensive Hugging Face… See the full description on the dataset page: https://huggingface.co/datasets/txgsync/muse-k2-vision-pilot-20260910.safedocs-1M-muse-spark-1.3-first3
SafeDocs first three shards: Muse Spark 1.3
Source: albertklorer/safedocs-1M, revision 87faff9053aa50c745f1359bef3592219ccb8c8b.
PaddleOCR-VL 1.6 teacher labels are compared to original pages using the existing side-by-side renderer and binary Muse Spark 1.3 contributor judge. Quality verdicts are only PERFECT or ERROR, with no quality reason. Operational failures have no verdict. These are model labels, not human ground truth. Native Paddle block list order is preserved. A… See the full description on the dataset page: https://huggingface.co/datasets/albertklorer/safedocs-1M-muse-spark-1.3-first3.SupersessionBench
SupersessionBench
A behavioral-supersession benchmark for long-term LLM agents: 1,000 multi-session
samples evaluating whether systems honor the user's current state instead of
acting on outdated state from earlier in the conversation history.
This is the data-only mirror of SupersessionBench. The full code release
(reproduction scripts, judge prompts, baselines, paper LaTeX) lives in the
companion GitHub repository. See croissant.json at this repo root for the
complete Croissant… See the full description on the dataset page: https://huggingface.co/datasets/muse0123/SupersessionBench.PALATE
PALATE Dataset
PALATE contains de-identified human–role-playing-agent conversations,
satisfaction annotations, frozen session-level splits, bilingual character
cards, and the scoring rubrics used by the PALATE benchmark.
Related resources:
Code: Zhuyh1139/PALATE
Five user-simulator adapters:
muset-ai/PALATE-LoRA
The dataset stores source annotations rather than ready-to-train examples.
Use the processing command in the PALATE GitHub repository to construct
role-swapped… See the full description on the dataset page: https://huggingface.co/datasets/muset-ai/PALATE.Wiki_Live_Challenge
Wiki Live Challenge Dataset
[English | 中文]
English
📖 Dataset Overview
This is the official dataset accompanying the Wiki Live Challenge benchmark. It contains Wikipedia Good Articles (GAs) as ground truth and research articles generated by leading deep research AI systems.
Wiki Live Challenge is the first live benchmark for evaluating Deep Research Agents (DRAs) on their ability to generate Wikipedia-quality articles. Unlike static benchmarks, Wiki Live… See the full description on the dataset page: https://huggingface.co/datasets/muset-ai/Wiki_Live_Challenge.museums-open-italy
Museums Open — Italy 2026 Q2
Registry of Italian museums and galleries derived from OpenStreetMap (ODbL-1.0) and enriched with Wikidata (CC0) identifiers. First iteration of the Museums Open index; v2.0 will add MiC accessibility data and the UK + France extension.
Registro di musei e gallerie italiani derivato da OpenStreetMap (ODbL-1.0) e arricchito con gli identificatori Wikidata (CC0). Prima iterazione del dataset Museums Open; v2.0 aggiungerà i dati MiC di accessibilità e… See the full description on the dataset page: https://huggingface.co/datasets/FedCal/museums-open-italy.Muse-Glimmer-Terminal-Bench-Eval
Muse Glimmer — Terminal-Bench eval traces
This is an EVALUATION set. Do not train on it.
These traces measure baseline speculative-decoding behaviour (acceptance length,
draft acceptance rate, throughput) for the Muse Glimmer speculator project on
agentic coding work, so that a fine-tuned speculator can be compared against
them later. Training data for that project is SWE-Gym and is deliberately
repo-disjoint from Terminal-Bench: it excludes every repository referenced by
any of… See the full description on the dataset page: https://huggingface.co/datasets/Satgoy152/Muse-Glimmer-Terminal-Bench-Eval.tetris-4lpc-survival-krylov
Tetris 4-line PC MDP — death-in-N survival curve (Krylov)
Death-in-N survival curve for the optimal policy of the exact 4-line Perfect Clear
Tetris MDP (see muse918/tetris-4lpc-mdp-vstar-policy
for the underlying V*/policy tables). Built with a Krylov subspace projection
(order k=14) of the per-PC transition operator restricted to the layer-0 boundary
(817,740 quotient-chain states), rather than a direct Monte Carlo estimate.
Caveat: computed against policy pi_policy_v3 (an… See the full description on the dataset page: https://huggingface.co/datasets/muse918/tetris-4lpc-survival-krylov.aave_transactions_blockchain_copymuse-trajectory-annotations
MUSE trajectory annotations
Judge annotations of coding-agent trajectories.
Subset: commit-hook
Event-sequence annotations of 7,593 transcript windows drawn from 433 complete
trajectories of a coding agent working on a git pre-commit-hook task (E1). For
each window the judge identifies the earliest concrete workaround opportunity,
the earliest rejection of a workaround (labelled normative / instrumental /
mixed / unclear), and the earliest later adoption, with… See the full description on the dataset page: https://huggingface.co/datasets/thebajajra/muse-trajectory-annotations.africa-cote-d-ivoire-personnel-travaillant-dans-les-musees-et-institutions-assi-cb8f3e48
Personnel Travaillant Dans Les Musees Et Institutions Assi | Africa (Cote d'Ivoire DataFair)
125 rows - 1 Africa country/area - 2003-2006 - 1 indicator - Engineered by Electric Sheep Africa
TL;DR
This dataset contains 125 rows from Cote d'Ivoire DataFair, covering Personnel Travaillant Dans Les Musees Et Institutions Assi. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-personnel-travaillant-dans-les-musees-et-institutions-assi-cb8f3e48.kodcode-complete_1000_qwen7b_att_iter0_att5_sol5africa-cote-d-ivoire-frequentations-des-musees-et-institutions-assimilees-de-20-cd779e46
Frequentations Des Musees Et Institutions Assimilees De 20 | Africa (Cote d'Ivoire DataFair)
72 rows - 1 Africa country/area - 2003-2006 - 1 indicator - Engineered by Electric Sheep Africa
TL;DR
This dataset contains 72 rows from Cote d'Ivoire DataFair, covering Frequentations Des Musees Et Institutions Assimilees De 20. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-frequentations-des-musees-et-institutions-assimilees-de-20-cd779e46.MuSE_Contextdata_house_museumFitzwilliam-museum-exhibitionsFitzwilliam-museum-imagesA CSV file of image urls and meta data for the Fitzwilliam Museum system. The images are licensed under more restrictive terms, the links to URLS
are open via their API and website.
africa-uganda-category-of-visitors-to-the-uganda-museum-2019-2023-983f8159
Category of Visitors to the Uganda Museum 2019 2023 | Africa (Uganda Bureau of Statistics)
25 rows - 1 Africa country/area - 2019-2023 - 1 indicator - Engineered by Electric Sheep Africa
TL;DR
This dataset contains 25 rows from Uganda Bureau of Statistics, covering Category of Visitors to the Uganda Museum 2019 2023. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-uganda-category-of-visitors-to-the-uganda-museum-2019-2023-983f8159.Fitzwilliam-museum-tweetssam-paech__Darkest-muse-v1-details
Dataset Card for Evaluation run of sam-paech/Darkest-muse-v1
Dataset automatically created during the evaluation run of model sam-paech/Darkest-muse-v1
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/sam-paech__Darkest-muse-v1-details.africa-tunisia-geolocalisation-des-musees-et-des-sites-archeologiques-de-7b0fa0a8
Geolocalisation Des Musees Et Des Sites Archeologiques De | Africa (Tunisia Open Data)
7 rows - 1 Africa country/area - 2024 - source table - Engineered by Electric Sheep Africa
TL;DR
This dataset contains 7 rows from Tunisia Open Data, covering Geolocalisation Des Musees Et Des Sites Archeologiques De. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.
What This… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-geolocalisation-des-musees-et-des-sites-archeologiques-de-7b0fa0a8.africa-tunisia-entrees-payantes-par-gouvernorat-et-par-site-et-musee-anne-f87dcfd0
Entrees Payantes Par Gouvernorat Et Par Site Et Musee Anne | Africa (Tunisia Open Data)
51 rows - 1 Africa country/area - 2020 - source table - Engineered by Electric Sheep Africa
TL;DR
This dataset contains 51 rows from Tunisia Open Data, covering Entrees Payantes Par Gouvernorat Et Par Site Et Musee Anne. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.
What… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-entrees-payantes-par-gouvernorat-et-par-site-et-musee-anne-f87dcfd0.humaneval_qwen7b_gpt-4o-mini_att_iter0_att20_sol10_snapafrica-tunisia-repartition-des-visites-des-musees-payantes-par-gouvernora-df6046cb
Repartition Des Visites Des Musees Payantes Par Gouvernora | Africa (Tunisia Open Data)
65 rows - 1 Africa country/area - 2015 - source table - Engineered by Electric Sheep Africa
TL;DR
This dataset contains 65 rows from Tunisia Open Data, covering Repartition Des Visites Des Musees Payantes Par Gouvernora. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.
What… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-repartition-des-visites-des-musees-payantes-par-gouvernora-df6046cb.seoul_museums서울시 박물관미술관 정보
서울특별시에 소재하는 박물관, 미술관 정보입니다(표준데이터)
시설명, 구분(공립,사립), 도로명주소, 위도, 경도, 전화번호, 운영기관명, 홈페이지 주소, 관람료, 운영시간 정보등을 제공합니다.
africa-tunisia-liste-et-localisation-des-musees-nationaux-f6447e16
Liste Et Localisation Des Musees Nationaux | Africa (Tunisia Open Data)
101 rows - 1 Africa country/area - detected - source table - Engineered by Electric Sheep Africa
TL;DR
This dataset contains 101 rows from Tunisia Open Data, covering Liste Et Localisation Des Musees Nationaux. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.
What This Dataset Measures… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-liste-et-localisation-des-musees-nationaux-f6447e16.