mohamed-stifi/Cleaned-Darija-SFT-Mixture-6k-Stratified-Sample dataset hosted on Hugging Face and contributed by the HF Datasets community

ricdomolm/FormalMATH-Kimina-1.5B-Stratified dataset hosted on Hugging Face and contributed by the HF Datasets community

orpo-explorers/OHP-Stratified-2 dataset hosted on Hugging Face and contributed by the HF Datasets community

rtriangle/PopQA-s-pop-stratified-split-results dataset hosted on Hugging Face and contributed by the HF Datasets community

orpo-explorers/OHP-15k-Stratified-3 dataset hosted on Hugging Face and contributed by the HF Datasets community

dchaplinsky/wikipar-stratified dataset hosted on Hugging Face and contributed by the HF Datasets community

WildChat Stratified Sample

  Dataset Description

This dataset contains a stratified sample of 263 GPT-4 conversations (347 total turns) from the WildChat dataset. The sample was carefully selected to ensure balanced representation across conversation turn positions and user message lengths.

  Dataset Summary

Total Conversations: 263 Total Turns/Rows: 347 Average Turns per Conversation: 1.32 Conversation Length: 1-5 turns (conversations with >5 turns excluded)… See the full description on the dataset page: https://huggingface.co/datasets/Avinaash/wildchat-stratified-sample.

Stratified K-Means Diverse Instruction-Following Dataset (100K-1M)

A carefully balanced subset combining Tulu-3 SFT Mixture and Orca AgentInstruct, featuring embedding-based k-means sampling across diverse instruction-following tasks at multiple scales.

  👥 Follow the Authors

Aman Priyanshu

Supriti Vijay

  Overview

This dataset provides stratified subsets at 50k, 100k, 250k, 500k, and 1M scales, combining high-quality instruction-following data from… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/stratified-kmeans-diverse-instruction-following-100K-1M.

myyycroft/PopQA-s-pop-stratified-split dataset hosted on Hugging Face and contributed by the HF Datasets community

ricdomolm/FormalMATH-Kimina-1.5B-Stratified-Decontaminated dataset hosted on Hugging Face and contributed by the HF Datasets community

Stratified K-Means Diverse Pre-Training Dataset (100K-1M)

A carefully balanced subset combining FineWeb-Edu and Proof-Pile-2, featuring embedding-based k-means sampling to ensure diverse representation across educational and mathematical/scientific content at multiple scales.

  👥 Follow the Authors

Aman Priyanshu

Supriti Vijay

  Overview

This dataset provides stratified subsets at 50k, 100k, 250k, 500k, and 1M scales, combining high-quality… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/stratified-kmeans-diverse-pretraining-100K-1M.

jfang/BigEarthS2-RGB-1k-stratified-balanced dataset hosted on Hugging Face and contributed by the HF Datasets community

jfang/BigEarthS2-RGB-10k-stratified-balanced dataset hosted on Hugging Face and contributed by the HF Datasets community

jfang/BigEarthS2-RGB-10k-stratified-min-guarantee dataset hosted on Hugging Face and contributed by the HF Datasets community

Stratified K-Means Diverse Reasoning Dataset (100K-1M)

A carefully balanced subset of NVIDIA's Llama-Nemotron Post-Training Dataset, featuring square-root rebalanced sampling across math, code, science, instruction-following, chat, and safety tasks at multiple scales.

  👥 Follow the Authors

Aman Priyanshu

Supriti Vijay

  Overview

This dataset provides stratified subsets at 50k, 100k, 250k, 500k, and 1M scales from the Llama-Nemotron… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/stratified-kmeans-diverse-reasoning-100K-1M.

This is a direct copy of mlabonne/dolphin-r1-deepseek with extra stratification information added in post-processing. The strata include:

task_type output_length response_style domain complexity

There has been no validation done on the strata information, use at your own risk.

Stratified and Nested Subsets of AG News for Performance Benchmarking

  Dataset Summary

This repository contains a script to generate stratified and progressively smaller, nested subsets of the AG News dataset. It was specifically designed to benchmark the performance (e.g., accuracy, training time, and resource usage) of language models on varying amounts of training data. This new version improves the benchmarking process by:

Preserving the Original Test Set: It uses the… See the full description on the dataset page: https://huggingface.co/datasets/szhuggingface/ag_news.

kugler/AmDi.alpha.stratified.small dataset hosted on Hugging Face and contributed by the HF Datasets community

polyglots/punjabi-sentiment-tagger-stratified dataset hosted on Hugging Face and contributed by the HF Datasets community

Forked from opendatalab/OmniDocBench.

  Sampler

We have added a simple Python tool for filtering and performing stratified sampling on OmniDocBench data.

  Features

Filter JSON entries based on custom criteria Perform stratified sampling based on multiple categories Handle nested JSON fields

  Installation





  Local Development Install (Recommended)

git clone https://huggingface.co/Quivr/OmniDocBench.git cd OmniDocBench pip install -r requirements.txt #… See the full description on the dataset page: https://huggingface.co/datasets/Quivr/OmniDocBench.