datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CSSR-S_labelled_suicidewatch_posts_reddit
Evaluating Reasoning LLMs for Suicide Screening with the Columbia-Suicide Severity Rating Scale
Full code and supplementary materials are available at https://github.com/av9ash/llm_cssrs_code.
License and Citation
This project is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.Any use or reuse of this work please cite the following:
@article{patil2025evaluating,
title={Evaluating Reasoning LLMs for Suicide Screening with the… See the full description on the dataset page: https://huggingface.co/datasets/av9ash/CSSR-S_labelled_suicidewatch_posts_reddit.sciscinet-v2
📢🚨📣 Sciscinet-v2
Sciscinet-v2 is a refreshed update to SciSciNet which is a large-scale, integrated dataset designed to support research in the science of science domain. It combines scientific publications with their network of relationships to funding sources, patents, citations, and institutional affiliations, creating a rich ecosystem for analyzing scientific productivity, impact, and innovation. Know more.
About Sciscinet-v2
The newer version Sciscinet-v2 is… See the full description on the dataset page: https://huggingface.co/datasets/Northwestern-CSSI/sciscinet-v2.landing-pages-v2-csscs_squad-3.0
Dataset Card for Czech Simple Question Answering Dataset 3.0
This a processed and filtered adaptation of an existing dataset. For raw and larger dataset, see Dataset Source section.
Dataset Description
The data contains questions and answers based on Czech wikipeadia articles.
Each question has an answer (or more) and a selected part of the context as the evidence.
A majority of the answers are extractive - i.e. they are present in the context in the exact form. The… See the full description on the dataset page: https://huggingface.co/datasets/fewshot-goes-multilingual/cs_squad-3.0.html-css-js-cot
🌐 HTML/CSS/JS Reasoning Traces Dataset
A high-quality, large-scale dataset of complex HTML, CSS, and JavaScript programming questions and model reasoning traces.
📊 Dataset Overview
This repository contains a comprehensively structured dataset of reasoning traces for frontend web development tasks. The data maps intricate, multi-step prompts to step-by-step reasoning solutions generated by advanced Language Models.
It is designed for researchers and… See the full description on the dataset page: https://huggingface.co/datasets/AdhyanshVerma/html-css-js-cot.SciSciGPT-SciSciCorpuscs_snli
Dataset Card for Czech SNLI
Czech translation of the Stanford Natural Language Interface (SNLI) dataset with manual annotation of a SNLI subset.
In addition to the entailment/contradiction/neutral inference, a "bad translation" class was added.
The annotation was done by students of NLP or computational linguistics. 1499 same pairs were annotated by two students to check IAA.
Dataset Details
The annotation for Czech premise-hypothesis pairs is done on 165390 pairs… See the full description on the dataset page: https://huggingface.co/datasets/CZLC/cs_snli.csst2css2-uq-mmlu-procss-bench
CSS-Bench: Counterfactual Strategic Synthesis Benchmark
CSS-Bench tests whether language models make strategic decisions based on the underlying payoff topology of a game, or on the semantic valence of the words used to narrate it. Every item exists as a matched pair (or triple): a canonical framing where the numerically optimal action is also lexically "nice," and a counterfactual framing with the identical payoff structure but inverted narrative valence -- the numerically… See the full description on the dataset page: https://huggingface.co/datasets/jub-aer/css-bench.css-colorsjhu-csse-covid
JHU CSSE COVID-19 — global daily (archived)
JHU stopped active maintenance 2023-03-09 and archived the repo. Province-level rolls
are present in the source files but dropped here (province names are free-text, not
ISO 3166-2; a per-country crosswalk is needed and is out of scope for this v0.1 ingest).
Source: https://github.com/CSSEGISandData/COVID-19
Coverage
Time: 2020-01-22 → 2023-03-09
Cadence: daily (observed median spacing: 1 days)
Geography levels: national —… See the full description on the dataset page: https://huggingface.co/datasets/EPI-Eval/jhu-csse-covid.CSS2_UQ