datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
m_hellaswag
Multilingual HellaSwag
Dataset Summary
This dataset is a machine translated version of the HellaSwag dataset.
The Icelandic (is) part was translated with Miðeind's Greynir model and Norwegian (nb) was translated with DeepL. The rest of the languages was translated using GPT-3.5-turbo by the University of Oregon, and this part of the dataset was originally uploaded to this Github repository.
HC3Human ChatGPT Comparison Corpus (HC3)HC3-ChineseHuman ChatGPT Comparison Corpus (HC3) Chinese VersionOpenDebateEvidence-Anonymized
Dataset Card for OpenDebateEvidence (Anonymized)
A collection of evidence used in collegiate and high school debate competitions,
with all debater-identifying columns removed.
This is an anonymized redistribution of
Yusuf5/OpenCaselist. The
argumentative content is byte-for-byte unchanged. 26 of the original 45 columns
have been dropped. See Anonymization for exactly what was
removed and why.
Dataset Details
Dataset Description
This dataset is a… See the full description on the dataset page: https://huggingface.co/datasets/Hellisotherpeople/OpenDebateEvidence-Anonymized.DebateSum
DebateSum
Corresponding code repo for the upcoming paper at ARGMIN 2020: "DebateSum: A large-scale argument mining and summarization dataset"
Arxiv pre-print available here: https://arxiv.org/abs/2011.07251
Check out the presentation date and time here: https://argmining2020.i3s.unice.fr/node/9
Full paper as presented by the ACL is here: https://www.aclweb.org/anthology/2020.argmining-1.1/
Video of presentation at COLING 2020:… See the full description on the dataset page: https://huggingface.co/datasets/Hellisotherpeople/DebateSum.OpenDebateEvidence-Deduplicated-Anonymized
Dataset Card for OpenDebateEvidence-Deduplicated (Anonymized)
Debate evidence from collegiate and high school competitions, semantically
deduplicated, with all debater-identifying columns removed.
This is the semantically deduplicated companion to
OpenDebateEvidence-Anonymized.
Where the parent dataset contains every piece of evidence as used in every round,
this version collapses repeated use of the same evidence into single records,
making it substantially smaller and better… See the full description on the dataset page: https://huggingface.co/datasets/Hellisotherpeople/OpenDebateEvidence-Deduplicated-Anonymized.jee-neet-benchmark
JEE/NEET LLM Benchmark Dataset
Dataset Description
This repository contains a benchmark dataset designed for evaluating the capabilities of Large Language Models (LLMs) on questions from major Indian competitive examinations:
JEE (Main & Advanced): Joint Entrance Examination for engineering.
NEET: National Eligibility cum Entrance Test for medical fields.
The questions are presented in image format (.png) as they appear in the original papers. The dataset… See the full description on the dataset page: https://huggingface.co/datasets/Hellboi78688/jee-neet-benchmark.hellaswag-trThis Dataset is part of a series of datasets aimed at advancing Turkish LLM Developments by establishing rigid Turkish benchmarks to evaluate the performance of LLM's Produced in the Turkish Language.
Dataset Card for Hellaswag-Turkish
malhajar/hellaswag-turkish is a translated version of hellaswag aimed specifically to be used in the OpenLLMTurkishLeaderboard
This Dataset contains rigid tests extracted from the paper Can a Machine Really Finish Your Sentence? published at ACL2019.… See the full description on the dataset page: https://huggingface.co/datasets/malhajar/hellaswag-tr.m_hellaswag
Multilingual HellaSwag
Dataset Summary
This dataset is a machine translated version of the HellaSwag dataset.
The languages was translated using GPT-3.5-turbo by the University of Oregon, and this part of the dataset was originally uploaded to this Github repository.
The NUS Deep Learning Lab contributed to this effort by standardizing the dataset, ensuring consistent question formatting and alignment across all languages. This standardization enhances cross-linguistic… See the full description on the dataset page: https://huggingface.co/datasets/richmondsin/m_hellaswag.hellaswag_ita
Italian version of the HellaSwag Dataset
The dataset has been automatically translate by using Argos Translate v. 1.9.1
Citation Information
@misc{basile2023llamantino,
title={LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language},
author={Pierpaolo Basile and Elio Musacchio and Marco Polignano and Lucia Siciliani and Giuseppe Fiameni and Giovanni Semeraro},
year={2023},
eprint={2312.09993},
archivePrefix={arXiv}… See the full description on the dataset page: https://huggingface.co/datasets/swap-uniba/hellaswag_ita.medical-o1-reasoning-SFT
News
[2025/04/22] We split the data and kept only the medical SFT dataset (medical_o1_sft.json). The file medical_o1_sft_mix.json contains a mix of medical and general instruction data.
[2025/02/22] We released the distilled dataset from Deepseek-R1 based on medical verifiable problems. You can use it to initialize your models with the reasoning chain from Deepseek-R1.
[2024/12/25] We open-sourced the medical reasoning dataset for SFT, built on medical verifiable problems and an LLM… See the full description on the dataset page: https://huggingface.co/datasets/Hellrabbit/medical-o1-reasoning-SFT.OncoIntentQADataset contains 1015 QA pairs with 4 broad categories of question, such as Knowledge (8), Treatment (11), Hybrid (3), Crisis / Safety (5) with 27 sub-categories.
Category
Definition
knowledge_diagnosis_methods
Questions seeking factual understanding of how cancer is diagnosed, including diagnostic procedures, tests, biopsies, and biological or molecular mechanisms relevant to diagnosis.
knowledge_disease_definition
Questions asking what a cancer or disease is, its fundamental… See the full description on the dataset page: https://huggingface.co/datasets/helloansuman/OncoIntentQA.hellaswag-mcqa
HellaSwag MCQA Dataset
This dataset contains the HellaSwag dataset converted to Multiple Choice Question Answering (MCQA) format.
Dataset Description
HellaSwag is a dataset for commonsense inference about physical situations. Given a context describing an activity, the task is to select the most plausible continuation from four choices.
Dataset Structure
Each example contains:
question: The activity label and context combined
choices: List of 4 possible… See the full description on the dataset page: https://huggingface.co/datasets/RikoteMaster/hellaswag-mcqa.databricks-dolly-15k
Summary
databricks-dolly-15k is an open source dataset of instruction-following records generated by thousands of Databricks employees in several
of the behavioral categories outlined in the InstructGPT paper, including brainstorming, classification,
closed QA, generation, information extraction, open QA, and summarization.
This dataset can be used for any purpose, whether academic or commercial, under the terms of the
Creative Commons Attribution-ShareAlike 3.0 Unported… See the full description on the dataset page: https://huggingface.co/datasets/Helllloooo7919/databricks-dolly-15k.