datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
omnidocbench-render-compare
OmniDocBench Render-and-Compare
This dataset contains the rendered HTML reconstructions and comparison images produced
by a render-and-compare pipeline — a reference-free visual similarity evaluation
framework for OCR systems.
Overview
The pipeline processes each page of OmniDocBench through
a Qwen3.5-122B-A10B OCR model, renders the structured output back to a PNG via HTML
(reconstructed.png), and compares it against the original page scan (masked_original.png)
using… See the full description on the dataset page: https://huggingface.co/datasets/gt-free-ocr-metrics/omnidocbench-render-compare.metricsubs-chunktranslate
Introduction
This repository holds the data file for translating TechLinked, which talks about mostly technology and science news.
Raw data is in the data/ folder. Scripts generate OpenAI's ChatCompletion Fine-tuning API formatted training data in jsonl format.
-2000 variants are designed to be used with GPT-3 with 8192 tokens context length limit. -8192 variants are designed to be used with GPT-4o mini with 128000 context window and 16384 max output tokens.
How to add… See the full description on the dataset page: https://huggingface.co/datasets/metricv/metricsubs-chunktranslate.atomic-metrics-six-task-preferences
Six-task benchmark inputs
Seed 17. No demographic conditioning. Each task has shared train100.jsonl and test500.jsonl for Atomic Metrics, five judge variants, and learned baselines. Pair plans cover all 100 training rows once. Atomic Metrics extraction and BT/LR fitting use train100. Judges use the same test500. RM and WIMHF in the matched-data comparison use train100; rm_train_full is an explicitly separate expanded-data setting and must not be described as train100.… See the full description on the dataset page: https://huggingface.co/datasets/tintin1027/atomic-metrics-six-task-preferences.MetricInstruct
MetricInstruct
The MetricInstrcut dataset consists of 44K quadruple in the form of (instruction, input, system output, error analysis) for 6 text generation tasks and 22 text generation datasets. The dataset is used to fine-tune TIGERScore, a Trained metric that follows Instruction Guidance to perform Explainable, and Reference-free evaluation over a wide spectrum of text generation tasks.
Project Page | Paper | Code | Demo |
TIGERScore-7B | TIGERScore-13B
We present the… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/MetricInstruct.doomalay-metrics
doomalay-metrics
Doomalay hub library data.
atomic-metrics-demographic-training-size
Atomic Metrics: Demographic Training-Size Analysis
Complete offline reproduction bundle for the effect of batch-selected training size on demographic preference prediction.
Version 2 — replaces the fixed-bank analysis. Select k extraction batches (five pairs each), use only their metrics and their 5k training pairs to refit BT/LR, then evaluate on cached test200 scores restricted to those metrics. Both the training rows and metric columns change with size. Extraction/refinement… See the full description on the dataset page: https://huggingface.co/datasets/tintin1027/atomic-metrics-demographic-training-size.imagenet-metric-refsimagenet-metric-refsceleba-hq-256x256-metric-refsatomic-metrics-rm-splits
Atomic Metrics RM Task Splits
Preference-pair benchmark splits used by
Atomic Metrics. The release
contains four open-ended task families derived from public SHP, OASST1, and
OASST2 preference data.
Dataset structure
Each configuration contains 10,000 training pairs and 2,000 test pairs. Every
row has:
{
"sample_id": "source-specific stable ID",
"source_dataset": "shp | oasst1 | oasst2",
"category": "task configuration",
"split": "train | test"… See the full description on the dataset page: https://huggingface.co/datasets/tintin1027/atomic-metrics-rm-splits.metrics-outputs-pcfg-matryoshka-layer-03-token-cachemetrics-outputs-pcfg-matryoshka-layer-02-token-cachetonebridge-metricsmetrics-outputs-pcfg-matryoshka-layer-01-token-cachemetrics-outputs-pcfg-matryoshka-layer-00-token-cachemetrics-outputs-pcfg-matryoshka-fmt-2400-s1-token-cachemetrics-outputs-pcfg-matryoshka-fmt-2308-s2-token-cachemetrics-outputs-pcfg-matryoshka-fmt-2400-s2-token-cachemetrics-outputs-pcfg-matryoshka-fmt-2400-s0-token-cachemetrics-outputs-gemma-2-2b-layer-06-token-cacheomnidocbench-qwen-ocr-logprobs
OmniDocBench Qwen OCR Log-Probabilities
This dataset provides token-level and bounding-box-level OCR log-probabilities produced by
running Qwen3.5-122B-A10B (via vLLM) on the original page scans of the
OmniDocBench benchmark.
It is a reference-free auxiliary signal — no ground-truth text is used.
Dataset Structure
ocr_logprobs/
<page_id>/
ocr_logprobs.json # full per-token logprobs + top-5 alternatives
ocr_html.html # raw HTML output from the OCR model… See the full description on the dataset page: https://huggingface.co/datasets/gt-free-ocr-metrics/omnidocbench-qwen-ocr-logprobs.metrics-outputs-pcfg-matryoshka-fmt-0000-s2-token-cacheextract-metrics-from-log-fixtures-cmskdlip
Extract Metrics from Log Fixtures
A dataset of extract metrics from log fixtures examples for training and evaluation. Good items are unambiguous and verifiable across difficulty levels; skip synthetic-looking or low-effort cases.
About
This dataset was produced by the DataBounty community and published here as part of an open, karma-only program.
Contributor items exported: 1000
Language: Python
Framework: Community
License: CC-BY-4.0
Contributors… See the full description on the dataset page: https://huggingface.co/datasets/databounty-io/extract-metrics-from-log-fixtures-cmskdlip.libero-branch-rollouts
LIBERO branch-rollout benchmark (EXP-20260722-004, C-line + Tier-1)
Data generated for a study on metric readiness for video world models: specifically,
whether a learned model's outputs actually respond to the action it is conditioned on,
rather than to the presence of a conditioning signal at all.
Everything here was produced by live MuJoCo simulation on an AMD MI325X node.
It is not a repackaging of the public LIBERO release. See "What is NOT here".
What is here… See the full description on the dataset page: https://huggingface.co/datasets/Minhao-VWM-metrics/libero-branch-rollouts.metrics-outputs-pcfg-matryoshka-fmt-2308-s1-token-cacheceleba-hq-256x256-metric-refsmetrics-outputs-pcfg-matryoshka-fmt-1667-s0-token-cachecot-health-metrics-archive-2026-05-19
cot_health_metrics archive
Private archive of local /Users/ifc24/Develop/cot_health_metrics moved on 2026-05-19.
See MANIFEST.json and SHA256SUMS for source path, archive size, and checksum.
metrics-outputs-pcfg-matryoshka-fmt-1667-s1-token-cacheomnidocbench-render-compare-sample
OmniDocBench Render-and-Compare — Sample
This is a 60-page stratified sample of
gt-free-ocr-metrics/omnidocbench-render-compare
(the full dataset is ~10 GB).
It is provided to help reviewers explore the data without downloading the full dataset,
as recommended by the NeurIPS 2025 Datasets & Benchmarks Track guidelines.
Sampling Methodology
Pages were selected by stratified random sampling from the full dataset:
Each page in ocr_all (1 355 pages) was assigned to one… See the full description on the dataset page: https://huggingface.co/datasets/gt-free-ocr-metrics/omnidocbench-render-compare-sample.