datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
scorio-lite
Scorio Lite contains 1,211,520 sampled attempts from four model configurations and
six reasoning benchmarks. Each model was run 80 times on every question.
The five competition-math splits contain 186 questions. The superGPQA split contains a
frozen, field-balanced sample of 3,600 questions. Each row includes the generation,
rule-based grading, scores from CompassVerifier-3B and a reference-free verifier, and
aggregate token statistics. Per-model configs also include token strings, log… See the full description on the dataset page: https://huggingface.co/datasets/harimo/scorio-lite.Huatuo26M-Lite
Huatuo26M-Lite 📚
Table of Contents 🗂
Dataset Description 📝
Dataset Information ℹ️
Data Distribution 📊
Usage 🔧
Citation 📖
Dataset Description 📝
Huatuo26M-Lite is a refined and optimized dataset based on the Huatuo26M dataset, which has undergone multiple purification processes and rewrites. It has more data dimensions and higher data quality. We welcome you to try using it.
Dataset Information ℹ️
Dataset Name: Huatuo26M-Lite
Version:… See the full description on the dataset page: https://huggingface.co/datasets/FreedomIntelligence/Huatuo26M-Lite.JMTEB-lite
JMTEB-lite: The Lightweight Version of JMTEB
JMTEB-lite is a lightweight version of JMTEB.
It makes agile evaluation possible by reaching an average of 5x faster evaluation comparing with JMTEB.
The result of JMTEB-lite is proved to be highly relevant with that of JMTEB, making it a faithful preview of JMTEB.
TL;DR
from datasets import load_dataset
dataset = load_dataset("sbintuitions/JMTEB-lite", name="<dataset_name>", split="<split>")
JMTEB_LITE_DATASET_NAMES = (… See the full description on the dataset page: https://huggingface.co/datasets/sbintuitions/JMTEB-lite.reasoning-lite
Anonymous Reasoning Lite
This repository contains data accompanying an anonymous TMLR submission. It provides
1,211,520 sampled reasoning attempts from four model configurations on competition-math
and field-balanced multiple-choice questions. The data omits top-20 alternative-token
distributions while retaining realized-token log probabilities and ranks.
Contents
The same attempts are available in full and metadata-only representations:
Configuration group… See the full description on the dataset page: https://huggingface.co/datasets/AnonymizedTMLRSubmission/reasoning-lite.IndustryInstruction_Literature-Emotions
IndustryInstruction: Literature & Emotions
This repository contains the IndustryInstruction: Literature & Emotions domain subset of BAAI/IndustryInstruction.
Refer to the parent dataset card for data construction, intended use, limitations,
and licensing details.
Citation
If you use this dataset in your work, please cite IndustryInstruction:
@misc{shi2024industryinstruction,
title = {IndustryInstruction},
author = {Xiaofeng Shi and Lulu Zhao and Hua… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/IndustryInstruction_Literature-Emotions.Huatuo26M-Lite
Huatuo26M-Lite 📚
Table of Contents 🗂
Dataset Description 📝
Dataset Information ℹ️
Data Distribution 📊
Usage 🔧
Citation 📖
Dataset Description 📝
Huatuo26M-Lite is a refined and optimized dataset based on the Huatuo26M dataset, which has undergone multiple purification processes and rewrites. It has more data dimensions and higher data quality. We welcome you to try using it.
Dataset Information ℹ️
Dataset Name:… See the full description on the dataset page: https://huggingface.co/datasets/dihdaidh/Huatuo26M-Lite.Huatuo26M-Lite
Huatuo26M-Lite 📚
Table of Contents 🗂
Dataset Description 📝
Dataset Information ℹ️
Data Distribution 📊
Usage 🔧
Citation 📖
Dataset Description 📝
Huatuo26M-Lite is a refined and optimized dataset based on the Huatuo26M dataset, which has undergone multiple purification processes and rewrites. It has more data dimensions and higher data quality. We welcome you to try using it.
Dataset Information ℹ️
Dataset Name:… See the full description on the dataset page: https://huggingface.co/datasets/mingys/Huatuo26M-Lite.Huatuo26M-Lite
Huatuo26M-Lite 📚
Table of Contents 🗂
Dataset Description 📝
Dataset Information ℹ️
Data Distribution 📊
Usage 🔧
Citation 📖
Dataset Description 📝
Huatuo26M-Lite is a refined and optimized dataset based on the Huatuo26M dataset, which has undergone multiple purification processes and rewrites. It has more data dimensions and higher data quality. We welcome you to try using it.
Dataset Information ℹ️
Dataset Name: Huatuo26M-Lite
Version:… See the full description on the dataset page: https://huggingface.co/datasets/ZhuYingfeng/Huatuo26M-Lite.RuFinQA-lite
RuFinQA — A Massive Multi-Task Reasoning Benchmark for Russian Financial Report Understanding
RuFinQA is a large-scale multi-task benchmark designed to evaluate the ability of language models to understand and reason over Russian statutory financial reports (Balance Sheet, Income Statement, Cash Flow Statement).
It contains 36,330 question–answer pairs across 5 task types, automatically derived from real-world corporate accounting statements obtained from open government data… See the full description on the dataset page: https://huggingface.co/datasets/RusNLPWorld/RuFinQA-lite.