datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
biodiversity_heritage_library_filtered
Biodiversity Heritage Library
Description
The Biodiversity Heritage Library (BHL) is an open-access digital library for biodiversity literature and archives.
This dataset contains over 15 million public domain books and documents from the BHL collection.
These works were collected using the bulk data download interface provided by the BHL and were filtered based on their associated license metadata.
We use the optical character recognition (OCR)-generated text distributed… See the full description on the dataset page: https://huggingface.co/datasets/common-pile/biodiversity_heritage_library_filtered.biodiversity_heritage_library
Biodiversity Heritage Library
Description
The Biodiversity Heritage Library (BHL) is an open-access digital library for biodiversity literature and archives.
This dataset contains over 42 million public domain books and documents from the BHL collection.
These works were collected using the bulk data download interface provided by the BHL and were filtered based on their associated license metadata.
We use the optical character recognition (OCR)-generated text… See the full description on the dataset page: https://huggingface.co/datasets/common-pile/biodiversity_heritage_library.bioinstruct
Dataset Card for BioInstruct
GitHub repo: https://github.com/bio-nlp/BioInstruct
Dataset Summary
BioInstruct is a dataset of 25k instructions and demonstrations generated by OpenAI's GPT-4 engine in July 2023.
This instruction data can be used to conduct instruction-tuning for language models (e.g. Llama) and make the language model follow biomedical instruction better.
Improvements of Llama on 9 common BioMedical tasks are shown in the result section.
Taking… See the full description on the dataset page: https://huggingface.co/datasets/bio-nlp-umass/bioinstruct.bio-safety-peft-lora
CBRN Safety Alignment & PEFT-LoRA Fine-Tuning Dataset
This repository contains the synthetic instruction-tuning dataset (.jsonl) designed for parameter-efficient fine-tuning (PEFT-LoRA) of edge language models (specifically Qwen/Qwen2.5-1.5B-Instruct).
The dataset is curated to evaluate and modify model logit distributions, persona attributions, and dual-use safety boundaries regarding Chemical, Biological, Radiological, and Nuclear (CBRN) risk scenarios.
🤖 Dataset… See the full description on the dataset page: https://huggingface.co/datasets/devsgnr/bio-safety-peft-lora.BioPhys-Bridge
BioPhys-Bridge is a physics-grounded scientific reasoning dataset for AI-for-Science agents. The dataset subtype, Sci-Evo, represents each record as a Physics-Grounded Scientific Evolution Case linking:
physical model -> quantitative evidence -> biological mechanism -> agent decision
Each case is built from open-access scientific literature and includes evidence-linked text, tables, formulas, figure/caption blocks, normalized quantitative measurements, biophysical model fields, biological… See the full description on the dataset page: https://huggingface.co/datasets/qyxu1994/BioPhys-Bridge.BioProBench
BioProBench: Comprehensive Dataset and Benchmark in Biological Protocol Understanding and Reasoning
BioProBench is the first large-scale, integrated multi-task benchmark for biological protocol understanding and reasoning, specifically designed for large language models (LLMs). It moves beyond simple QA to encompass a comprehensive suite of tasks critical for procedural text comprehension.
Biological protocols are the fundamental bedrock of reproducible and safe life… See the full description on the dataset page: https://huggingface.co/datasets/bowenxian/BioProBench.ALIA-es-biomedical-synthetic-instructions
Dataset Introduction
The ALIA Spanish Biomedical Synthetic Instructions Corpus is a synthetic instruction-tuning resource in Spanish created under the ALIA project using the Magpie methodology. It was designed to train and evaluate language models in biomedical and healthcare tasks with controlled formats and large-scale supervision.
It contains:
639,456 instances
961,073,205 tokens
14 task modalities (clinical diagnosis, patient education, ethical reasoning, document… See the full description on the dataset page: https://huggingface.co/datasets/SINAI/ALIA-es-biomedical-synthetic-instructions.BioTool
BioTool
BioTool is a large-scale, function-calling benchmark and training corpus for the
biomedical domain. It pairs natural-language biomedical questions with the
correct tool call (function name + JSON arguments) that answers them, drawn
from 127 tools spanning the three flagship public APIs:
NCBI E-utilities (einfo, esearch, esummary, efetch, elink, ecitmatch) plus BLAST
UniProt REST (uniprotkb, uniref, uniparc, proteomes, taxonomy, keywords, human_diseases, …)
Ensembl REST… See the full description on the dataset page: https://huggingface.co/datasets/gxx27/BioTool.bcs-biostatistics-study
BCS Medical Dataset — biostatistika
Medicinski studijski materijal na bosanskom/hrvatskom/srpskom, obrađen automatizovanim
inbox pipeline-om (ekstrakcija, OCR, chunking, AI generacija s determinističkom validacijom).
Struktura
Fajl
Sadržaj
ispitna.jsonl
postojeća ispitna pitanja (stari testovi/zbornici): question, options, answer
qna.jsonl
AI-generirani QnA parovi (validacija V1-V4)
flashcards.jsonl / flashcards.csv
kartice front/back za učenje… See the full description on the dataset page: https://huggingface.co/datasets/adobug/bcs-biostatistics-study.ALIA-es-biomedical-pairs
Dataset Introduction
The ALIA Spanish Biomedical Retrieval Pairs Corpus contains tabular instances designed to train and evaluate retrieval-oriented models (e.g., dense retrievers / embedding encoders) using passage-grounded query data produced with a Qwen3-style prompting workflow integrated in the ALIA encoders pipeline.
It preserves provenance to the original document and chunk while exposing controls such as question type and difficulty (ranging from high_school to phd level).… See the full description on the dataset page: https://huggingface.co/datasets/SINAI/ALIA-es-biomedical-pairs.BioManufacturingBench
BioManufacturingBench v1.0.0
BioManufacturingBench v1.0.0 is a 2,000-item benchmark for evidence-grounded
biomanufacturing reasoning. It covers evidence extraction, mass-balance calculation,
process diagnosis, microscopy count-range estimation, strict output formatting, and
abstention. Every primary score is computed by a deterministic rule; no score uses an
LLM judge. Public records are deliberately answer-free so the benchmark remains useful
for future evaluation.… See the full description on the dataset page: https://huggingface.co/datasets/capicu-ai/BioManufacturingBench.ToT-Biology
The ToT-Biology dataset emphasizes mechanistic understanding and explanatory biological reasoning, rather than just providing correct answers. It aims to train AI models in interpretability and logical deduction within the biological realm. Spanning a wide range of biological complexities, it starts with foundational concepts in cell biology, genetics, and ecology, and progresses to advanced areas like systems biology, synthetic biology, and computational biophysics. The dataset… See the full description on the dataset page: https://huggingface.co/datasets/mattwesney/ToT-Biology.computational_biology_dataset
Additional Information
This dataset contains medicine problems generated using the CAMEL framework. Each entry includes:
A question
A detailed rationale explaining the solution approach
The llm_answer
hsc-biology-bangla-dataset
🌿 HSC Biology Bangla Dataset (Plant Physiology)
The Ultimate Resource for Bengali STEM NLP
This dataset is a large-scale collection of 10,000 instruction-response pairs meticulously generated from core HSC (Higher Secondary Certificate) Biology curriculum content. It focuses specifically on Plant Physiology (উদ্ভিদ শারীরতত্ত্ব), one of the most significant chapters for Bangladeshi students and medical aspirants.
✨ Key Highlights
Native Language… See the full description on the dataset page: https://huggingface.co/datasets/3amthoughts/hsc-biology-bangla-dataset.hallu_bio_3.5k3.5k hallucinated biographies for inducing hallucinations for contrast in our ICD method on Factscore. More details are provided in our Github and Paper.
ALIA-es-biomedical-triplets
Dataset Introduction
The dataset ALIA Spanish Biomedical Hard Negatives Corpus contains hard negatives for dense retrieval training
generated from <query, passage> pairs contained in SINAI/ALIA-es-biomedical-pairs.The dataset was created as part of the ALIA project to improve the
training of embedding models and dense retrievers specialized in Spanish
biomedical language.
Hard negatives are passages that are semantically similar to a query
but not correct answers, making them… See the full description on the dataset page: https://huggingface.co/datasets/SINAI/ALIA-es-biomedical-triplets.biology-ptbr
Tradução do Camel Biology dataset para Portuguese (PT-BR) usando NLLB 3.3b.
CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society
Github: https://github.com/lightaime/camel
Website: https://www.camel-ai.org/
Arxiv Paper: https://arxiv.org/abs/2303.17760
Dataset Summary
Biology dataset is composed of 20K problem-solution pairs obtained using gpt-4. The dataset problem-solutions pairs generating from 25 biology topics, 25… See the full description on the dataset page: https://huggingface.co/datasets/botbotrobotics/biology-ptbr.bio-devops-synthetic-instructions
Bio-DevOps Synthetic Instructions
This dataset contains synthetic instruction-following examples for biomedical-style data-engineering and scientific-computing workflows.
It was created for educational and portfolio use as part of a LoRA/QLoRA fine-tuning project using Qwen/Qwen2.5-Coder-7B-Instruct.
Related model:
AiLLMBS/qwen25-coder-bio-devops-lora
Dataset Contents
The dataset includes synthetic examples for:
Python CSV validation
pandas duplicate checks
bash… See the full description on the dataset page: https://huggingface.co/datasets/AiLLMBS/bio-devops-synthetic-instructions.BioEval
BioEval
BioEval is an open-ended benchmark for evaluating biological reasoning in large
language models. Release v0.7.1 contains 12 components and two
cumulative task-set configurations:
Configuration
Split
Rows
Meaning
base
test
296
Canonical base benchmark
extended
test
400
The identical 296 base records plus 104 extended records
Configurations represent benchmark tiers, not train/test partitions. The 296
task IDs shared by base and extended have… See the full description on the dataset page: https://huggingface.co/datasets/jang1563/BioEval.bioaligned22Mbiolite-interpret-data
BioLite-Interpret Data (v2)
Training data for BioLite-Interpret, a fine-tuned language model that generates biological interpretations of differential expression (DE) tables, GO/KEGG enrichment results, and combined analyses.
Dataset Summary
Metric
Value
Total examples
1,262
Train / Val / Test
1,073 / 63 / 126
Split ratio
85% / 5% / 10%
Stratification
By task_type and source
Version History
v2 (this release): 1,262 examples. Expanded GEO… See the full description on the dataset page: https://huggingface.co/datasets/tathadn/biolite-interpret-data.camel-ai_biology-gemini-exp-1206-ShareGPT
camel-ai_biology-gemini-exp-1206-ShareGPT
camel-ai/biology with responses generated with gemini-exp-1206.
Generation Details
If BlockedPromptException, StopCandidateException, or InvalidArgument was returned, the sample was skipped.
If ["candidates"][0]["safety_ratings"] == "SAFETY" the sample was skipped.
If ["candidates"][0]["finish_reason"] != 1 the sample was skipped.
model = genai.GenerativeModel(
model_name,
safety_settings=[
{… See the full description on the dataset page: https://huggingface.co/datasets/PJMixers-Dev/camel-ai_biology-gemini-exp-1206-ShareGPT.biolord_dutch_marianmt
Dataset Card for Biolord Dutch Marianmt
MariaNMT translation of BioLORD definitions.
The source language: English
The original data source: Original Data Source
Data description
Dutch translation of BioLord definitions using MariaMT
Acknowledgement
This is part of the DT4H project with attribution [Cite the paper].
Doi and reference
[DOI and reference to the source paper/s]
camel-ai_biology-gemini-2.0-flash-thinking-exp-1219-CustomShareGPT
camel-ai_biology-gemini-2.0-flash-thinking-exp-1219-CustomShareGPT
camel-ai/biology with responses regenerated with gemini-2.0-flash-thinking-exp-1219.
Generation Details
If BlockedPromptException, StopCandidateException, or InvalidArgument was returned, the sample was skipped.
If ["candidates"][0]["safety_ratings"] == "SAFETY" the sample was skipped.
If ["candidates"][0]["finish_reason"] != 1 the sample was skipped.
model = genai.GenerativeModel(
model_name… See the full description on the dataset page: https://huggingface.co/datasets/PJMixers-Dev/camel-ai_biology-gemini-2.0-flash-thinking-exp-1219-CustomShareGPT.biochemistry_arab_CoT_10K
Dataset Summary
The Arabic Biochemistry Problem Dataset is a curated collection of Arabic-language biochemistry exam questions.Each record includes a question written in Modern Standard Arabic, the correct answer, an explanation of the underlying biochemical process, and the relevant scientific concept.This dataset is part of Mobiusi’s multilingual STEM education initiative, supporting scientific reasoning, question answering, and educational AI research in Arabic-speaking contexts.… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/biochemistry_arab_CoT_10K.bio_CoT_th_5k
Dataset Summary
The Thai Biology Problem Dataset is a curated collection of Thai-language biology exam questions.Each record includes the question, correct answer, explanation, and the related biological concept.It is part of the Mobiusi multilingual education dataset initiative, aimed at supporting natural language reasoning, question-answering, and educational AI research in Southeast Asian languages.
Each sample follows a structured JSON format with the following fields:… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/bio_CoT_th_5k.