datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bokeh-eval-metricastokenizers-dependents
tokenizers metrics
This dataset contains metrics about the huggingface/tokenizers package.
Number of repositories in the dataset: 11460
Number of packages in the dataset: 124
Package dependents
This contains the data available in the used-by
tab on GitHub.
Package & Repository star count
This section shows the package and repository star count, individually.
Package
Repository
There are 14 packages that have more than 1000 stars.
There are 41… See the full description on the dataset page: https://huggingface.co/datasets/open-source-metrics/tokenizers-dependents.transformers-dependents
transformers metrics
This dataset contains metrics about the huggingface/transformers package.
Number of repositories in the dataset: 27067
Number of packages in the dataset: 823
Package dependents
This contains the data available in the used-by
tab on GitHub.
Package & Repository star count
This section shows the package and repository star count, individually.
Package
Repository
There are 65 packages that have more than 1000 stars.
There are 140… See the full description on the dataset page: https://huggingface.co/datasets/open-source-metrics/transformers-dependents.gradio-dependents
Dataset Card for "gradio-dependents"
More Information needed
datasets-dependents
datasets metrics
This dataset contains metrics about the huggingface/datasets package.
Number of repositories in the dataset: 4997
Number of packages in the dataset: 215
Package dependents
This contains the data available in the used-by
tab on GitHub.
Package & Repository star count
This section shows the package and repository star count, individually.
Package
Repository
There are 22 packages that have more than 1000 stars.
There are 43… See the full description on the dataset page: https://huggingface.co/datasets/open-source-metrics/datasets-dependents.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.evaluate-dependents
evaluate metrics
This dataset contains metrics about the huggingface/evaluate package.
Number of repositories in the dataset: 106
Number of packages in the dataset: 3
Package dependents
This contains the data available in the used-by
tab on GitHub.
Package & Repository star count
This section shows the package and repository star count, individually.
Package
Repository
There are 1 packages that have more than 1000 stars.
There are 2 repositories… See the full description on the dataset page: https://huggingface.co/datasets/open-source-metrics/evaluate-dependents.accelerate-dependents
accelerate metrics
This dataset contains metrics about the huggingface/accelerate package.
Number of repositories in the dataset: 727
Number of packages in the dataset: 37
Package dependents
This contains the data available in the used-by
tab on GitHub.
Package & Repository star count
This section shows the package and repository star count, individually.
Package
Repository
There are 10 packages that have more than 1000 stars.
There are 16… See the full description on the dataset page: https://huggingface.co/datasets/open-source-metrics/accelerate-dependents.diffusers-dependents
diffusers metrics
This dataset contains metrics about the huggingface/diffusers package.
Number of repositories in the dataset: 160
Number of packages in the dataset: 2
Package dependents
This contains the data available in the used-by
tab on GitHub.
Package & Repository star count
This section shows the package and repository star count, individually.
Package
Repository
There are 0 packages that have more than 1000 stars.
There are 3 repositories… See the full description on the dataset page: https://huggingface.co/datasets/open-source-metrics/diffusers-dependents.optimum-dependents
optimum metrics
This dataset contains metrics about the huggingface/optimum package.
Number of repositories in the dataset: 19
Number of packages in the dataset: 6
Package dependents
This contains the data available in the used-by
tab on GitHub.
Package & Repository star count
This section shows the package and repository star count, individually.
Package
Repository
There are 0 packages that have more than 1000 stars.
There are 0 repositories that… See the full description on the dataset page: https://huggingface.co/datasets/open-source-metrics/optimum-dependents.btcusdt_perp_metrics_5m_09_2020_to_04_2026
BTCUSDT Perpetual Futures Metrics (5m)
Binance UM Futures metrics data for BTCUSDT, at native 5-minute cadence.
Captures aggregate positioning and flow: open interest, top-trader long/short
ratios, and taker buy/sell volume ratio.
Coverage
Range: 2020-09-01 00:00 → 2026-04-24 00:00 (UTC)
Cadence: 5 minutes (288 rows/day nominal)
Rows: 592,934
Completeness vs 5-min grid: 99.893%
Missing days (no file published): 0
Columns
Column
Type
Description… See the full description on the dataset page: https://huggingface.co/datasets/Mindbyte-89/btcusdt_perp_metrics_5m_09_2020_to_04_2026.Qwen3.8-Flash-Next-GGUF-metricssft-ultra_positive_step-metrics_label-maskingOrnith-1.5-9B-GGUF-metricstrl-metrics
Stars
import requests
from datetime import datetime
from datasets import Dataset
import pyarrow as pa
import os
def get_stargazers(owner, repo, token):
# Initialize the count and the page number
page = 1
stargazers = []
while True:
# Construct the URL for the stargazers with pagination
stargazers_url = f"https://api.github.com/repos/{owner}/{repo}/stargazers?page={page}&per_page=100"
# Send the request to GitHub API with appropriate headers… See the full description on the dataset page: https://huggingface.co/datasets/qgallouedec/trl-metrics.metrics-danbooru2025-alltime-tag-counts
dataproc5/metrics-danbooru2025-alltime-tag-counts
Dataset Overview
tag_count provides aggregated tag usage statistics from the Danbooru2025 dataset. Each entry corresponds to a specific tag's usage count in all time.
import unibox as ub
df = ub.loads("hf://dataproc5/metrics-danbooru2025-monthly-tag-counts").to_pandas()
alltime_tag_counts = df.groupby(["tag_string", "tag_type"], as_index=False)["tag_count"].sum()
alltime_tag_counts =… See the full description on the dataset page: https://huggingface.co/datasets/dataproc5/metrics-danbooru2025-alltime-tag-counts.llm-metric-ultrafeedbackatomic-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.llmtelemetry-metricsllm-metric-ultrafeedback-newsft-ultra_negative_step-metrics_label-maskingArmBench-LLM-data
lighteval-armenian
Armenian LLM Evaluation Benchmark for LightEval
Dataset Description
This is a multi-task benchmark created specifically to evaluate Large Language Models on Armenian (hy) language capabilities. It was developed to add full native Armenian support to the LightEval framework by Hugging Face.
The benchmark contains only the tasks currently used in the official Armenian evaluation suite. It mixes:
Translated/adapted versions of popular benchmarks (MMLU-Pro… See the full description on the dataset page: https://huggingface.co/datasets/Metric-AI/ArmBench-LLM-data.imagenet-metric-refsimagenet-metric-refsplay-and-apple-app-store-metricsApps and their latest metrics as collected by AppGoblin. AppGoblin is an open source mobile app analytics, aso and ad security research platform.
More free mobile app datasets from AppGoblin:
https://appgoblin.info/free-app-datasets
celeba-hq-256x256-metric-refsjinyang-gse138866-rseqc-metrics-v1
jinyang-gse138866-rseqc-metrics-v1
FINAL (130/130) per-sample QC table for GSE138866 FFPE omental metastatic HGSOC bulk RNA-seq, complete production run. Pipeline: STAR 2-pass alignment (split pass1/pass2 sbatch steps, GRCh38 Ensembl-113) -> samtools markdup -> RustQC rna (all QC modules in one BAM pass) -> per-sample JSON -> this aggregate table. Both Stage A (STAR alignment, job 75309971) and Stage B (markdup+RustQC, job 75317062) reached 130/130 real completions with ZERO… See the full description on the dataset page: https://huggingface.co/datasets/depinwang/jinyang-gse138866-rseqc-metrics-v1.metrics-outputs-pcfg-matryoshka-layer-03-token-cachemetrics-outputs-pcfg-matryoshka-layer-02-token-cachebfcl-v3-02-27-metrics-trajectories