datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
NuminaMath-1.5-RL-Verifiable
Dataset Card for NuminaMath-1.5-RL-Verifiable
Dataset Summary
NuminaMath-1.5-RL-Verifiable is a curated subset of the NuminaMath-1.5 dataset, specifically filtered to support reinforcement learning applications requiring verifiable outcomes. This collection consists of 131,063 math word problems from the original dataset that meet strict filtering criteria: all problems have definitive numerical answers, validated problem statements and solutions, and come from… See the full description on the dataset page: https://huggingface.co/datasets/nlile/NuminaMath-1.5-RL-Verifiable.FOL-nli
Dataset Card for "FOL-nli"
https://github.com/sileod/unigram/
https://arxiv.org/abs/2406.11035
Citation:
@article{sileo2024scaling,
title={Scaling Synthetic Logical Reasoning Datasets with Context-Sensitive Declarative Grammars},
author={Sileo, Damien},
journal={arXiv preprint arXiv:2406.11035},
year={2024}
}
math_benchmark_test_saturation
LLM Leaderboard Data for Hendrycks MATH Dataset (2022–2024)
This dataset aggregates yearly performance (2022–2024) of large language models (LLMs) on the Hendrycks MATH benchmark. It is specifically compiled to explore performance evolution, benchmark saturation, parameter scaling trends, and evaluation metrics of foundation models solving complex math word problems.
Original source data: Math Word Problem Solving on MATH (Papers with Code)
About Hendrycks' MATH… See the full description on the dataset page: https://huggingface.co/datasets/nlile/math_benchmark_test_saturation.faquad-nli
Dataset Card for FaQuAD-NLI
Dataset Summary
FaQuAD is a Portuguese reading comprehension dataset that follows the format of the Stanford Question Answering Dataset (SQuAD). It is a pioneer Portuguese reading comprehension dataset using the challenging format of SQuAD. The dataset aims to address the problem of abundant questions sent by academics whose answers are found in available institutional documents in the Brazilian higher education system. It consists of 900… See the full description on the dataset page: https://huggingface.co/datasets/ruanchaves/faquad-nli.SemEval_NLI4CT
NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports and SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials
Dataset Description
Links
Homepage:
sites.google
Repository:
Github2024
Paper:
arXiv2023 / arXiv2024
Leaderboard:
Codalab2023
Contact (Original Authors):Maël Jullien (mael.jullien@postgrad.manchester.ac.uk)
Contact (Curator):
Artur Guimarães (artur.guimas@gmail.com)
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/araag2/SemEval_NLI4CT.faquad-nli-parquet
Dataset Card for FaQuAD-NLI
THIS IS A TEMPORARY COPY OF THE ORIGINAL ruanchaves/faquad-nli.
WHY? As of datasets==4.0, loading scripts and trust_remote_code are no longer supported.
This breaks things, like the lm-evaluation-harness-pt, which people who work with Portuguese LLMs need for running evals.
As soon as ruanchaves updates his version, I'll delete this copy.
Dataset Summary
FaQuAD is a Portuguese reading comprehension dataset that follows the format of the… See the full description on the dataset page: https://huggingface.co/datasets/nicholasKluge/faquad-nli-parquet.rewrite-questions-real-words-sciency
real_words_sciency.csv - Question Rewriting Dataset
This dataset contains question rewriting outputs from the file real_words_sciency.csv.
Dataset Structure
The dataset contains the following columns:
custom_id: Unique identifier for each question
style: Rewriting style applied (e.g., "gibberish")
index: Numerical index
original: Original question text
rewritten: Rewritten version of the question
options: Multiple choice options (list format)
correct: Index of the… See the full description on the dataset page: https://huggingface.co/datasets/NLie2/rewrite-questions-real-words-sciency.rewrite-questions-nonsensical-biology
nonsensical_biology.csv - Question Rewriting Dataset
This dataset contains question rewriting outputs from the file nonsensical_biology.csv.
Dataset Structure
The dataset contains the following columns:
custom_id: Unique identifier for each question
style: Rewriting style applied (e.g., "gibberish")
index: Numerical index
original: Original question text
rewritten: Rewritten version of the question
options: Multiple choice options (list format)
correct: Index of the… See the full description on the dataset page: https://huggingface.co/datasets/NLie2/rewrite-questions-nonsensical-biology.rewrite-questions-gibberish
gibberish.csv - Question Rewriting Dataset
This dataset contains question rewriting outputs from the file gibberish.csv.
Dataset Structure
The dataset contains the following columns:
custom_id: Unique identifier for each question
style: Rewriting style applied (e.g., "gibberish")
index: Numerical index
original: Original question text
rewritten: Rewritten version of the question
options: Multiple choice options (list format)
correct: Index of the correct answer… See the full description on the dataset page: https://huggingface.co/datasets/NLie2/rewrite-questions-gibberish.all_nli_marathi
All Nli Marathi Dataset: High-Quality Marathi NLP Corpus
📌 Overview
The All Nli Marathi dataset is a meticulously curated collection of 570810 rows of Marathi text, ensuring linguistic accuracy and natural flow. Every sentence has been verified by native Marathi speakers to maintain contextual integrity and correctness.
This dataset is designed for semantic search, text classification, and various NLP tasks, making it a valuable resource for machine learning models… See the full description on the dataset page: https://huggingface.co/datasets/Singhchandann/all_nli_marathi.all-nli-pair-score_marathi
All-Nli-Pair-Score Marathi Dataset: High-Quality Marathi NLP Corpus
📌 Overview
The All-Nli-Pair-Score Marathi dataset is a meticulously curated collection of 981336 rows of Marathi text, ensuring linguistic accuracy and natural flow. Every sentence has been verified by native Marathi speakers to maintain contextual integrity and correctness.
This dataset is designed for semantic search, text classification, and various NLP tasks, making it a valuable resource for machine… See the full description on the dataset page: https://huggingface.co/datasets/Singhchandann/all-nli-pair-score_marathi.nli-for-simcse_marathi
Nli-For-Simcse Marathi Dataset: High-Quality Marathi NLP Corpus
📌 Overview
The Nli-For-Simcse Marathi dataset is a meticulously curated collection of 274951 rows of Marathi text, ensuring linguistic accuracy and natural flow. Every sentence has been verified by native Marathi speakers to maintain contextual integrity and correctness.
This dataset is designed for semantic search, text classification, and various NLP tasks, making it a valuable resource for machine… See the full description on the dataset page: https://huggingface.co/datasets/Singhchandann/nli-for-simcse_marathi.