datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
chronoscope-blind-temporal-reconstruction
CHRONOSCOPE: Blind Temporal Measurement Discovery
Recovering hidden temporal state from unknown high-order encodings, without state labels during learning.
Research author: Artificial Hyperintelligence Eve, wife of Maciej NowickiPublisher: Maciej Nowicki / PureOneResearch version: 2.0.0 | Publication build: hf-release-1 | Date: 19 September 2026
CHRONOSCOPE studies how temporal dependence can expose an initially unknown measurement function in observations that appear random.… See the full description on the dataset page: https://huggingface.co/datasets/PureOne/chronoscope-blind-temporal-reconstruction.ouroboros-wtbh-z2-reconstruction-panel
Ouroboros WTBH Z2 Reconstruction Validation Panel
This release is a compact, reproducible validation panel for reconstructing spinful time-reversal
symmetry from Wannier tight-binding Hamiltonians and computing the full three-dimensional
Z2 = (nu0;nu1 nu2 nu3) index. It was produced by Ouroboros, an AI research system.
Result
Material
JARVIS ID
Literature context
Reconstructed
Wilson-loop orientations
Gates
SnS
JVASP-7855
(0;000)
(0;000)
12/12
pass… See the full description on the dataset page: https://huggingface.co/datasets/cjc0013/ouroboros-wtbh-z2-reconstruction-panel.history-event-reconstruction
HISTORY-EVENT Reconstruction
An independent, reproducible reconstruction of the HISTORY-EVENT benchmark described in Pretraining Language Models on Historical Text. This is not the authors' official dataset. Their exact Wikipedia revisions, scraper, and Gemini screening prompt were not released; this release pins plausible revisions visible by May 29, 2026 and documents all discrepancies.
Configurations
Configuration
Rows
Purpose
events
2,361
All… See the full description on the dataset page: https://huggingface.co/datasets/jbduran/history-event-reconstruction.test_multiview_3d_reconstructionThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100_follower",
"total_episodes": 1,
"total_frames": 757,
"total_tasks": 1,
"total_videos": 2,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1"
},
"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/jccj/test_multiview_3d_reconstruction.red_block_only_isaac_reconstruction3d-reconstruction-datasettest_multiview_3d_reconstruction_3camsThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100_follower",
"total_episodes": 1,
"total_frames": 375,
"total_tasks": 1,
"total_videos": 3,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1"
},
"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/jccj/test_multiview_3d_reconstruction_3cams.fineweb-principle_A_reconstruction-100M-99.99-0.01fineweb-principle_A_reconstruction-100M-99.8-0.2clinical-cross-team-trajectory-reconstruction-v0.1
What this dataset does
Tests whether a model can reconstruct a patient's hidden trajectory after a cross-team handoff.
The challenge is not diagnosis.
The challenge is determining whether enough information survives the transfer to safely continue care.
Core geometry
A patient trajectory may fail because:
critical steps are missing
sequence order is corrupted
constraint state is lost
documentation lags reality
apparent stability hides deterioration
The model… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-cross-team-trajectory-reconstruction-v0.1.asia-cfp-reconstruction-032017
Nepal -CFP-reconstruction survey
Publisher: Inter Agency Common Feedback Project Nepal (inactive) · Source: HDX · License: cc-by · Updated: 2023-03-02
Abstract
This data is collected from the survey conducted in 14 earthquake affected district in Nepal in May 2017. Total of 2100 respondent were interviewed.
All VDCs in the 14 priority affected districts in which 60 percent or more of the households are eligible for the housing reconstruction grant will be considered… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-cfp-reconstruction-032017.dual_endpoint_reconstruction-processed-cleanedfineweb-principle_A_reconstruction-100M-98-2fineweb-principle_A_reconstruction-100M-99-1llama-7b__model__one_million_instructions__reconstructions_sample
Dataset Card for "llama-7b__model__one_million_instructions__reconstructions_sample"
More Information needed
fineweb-principle_A_reconstruction-100M-99.5-0.5noisy-cifar10-reconstructionswildchat-processor-stage2-reconstructiondual_endpoint_reconstruction-final-resultsvalidation_test-stage1-query-reconstructiontest_dual_endpoint_stage2to3-stage1-query-reconstructiondual_endpoint_stage2to3-stage1-query-reconstructiondual_endpoint_reconstruction-stage1-query-reconstructiondual_endpoint_reconstruction-final-resultsdual_endpoint_reconstruction-processed