Biology
mlfoundations-dev_-_llama3-1_8b_oh_v3.1_wo_camel_ai_biology-ggufmlfoundations-dev_-_llama3-1_8b_oh_dcft_v1_wo_camel_biology_gpt-4o-mini-ggufmlfoundations-dev_-_OH_DCFT_V3_wo_camel_ai_biology-ggufmlfoundations-dev_-_OH_original_wo_camel_ai_biology-ggufmlfoundations-dev_-_oh_v1_w_v3_camel_biology_gpt-4o-mini-ggufmlfoundations-dev_-_oh_v1.3_camel_biology_x.125-ggufmlfoundations-dev_-_oh_v1.3_camel_biology_x8-ggufHeart-Biology-RAG-Model-GGUF
Datasets
All datasets matching “Biology”biology
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 subtopics for each topic and 32 problems for each "topic,subtopic" pairs.
We provide… See the full description on the dataset page: https://huggingface.co/datasets/camel-ai/biology.wikipedia-biology
Dataset Card for wikipedia-biology
Dataset Summary
The dataset consists of text from 87045 Wikipedia articles created by processing all articles in the Wikipedia categories Branches of biology, Biological concepts, Eukaryote biology and Biology terminology, as well as their subcategories recursively till a depth of 4. It was originally created for the purpose of unlearning the domain of biology, although it may be used for other purposes such as biology fine-tuning.
It… See the full description on the dataset page: https://huggingface.co/datasets/jd5697/wikipedia-biology.agieval-gaokao-biology
Dataset Card for "agieval-gaokao-biology"
Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo, following dmayhem93/agieval-* datasets on the HF hub.
This dataset contains the contents of the Gaokao Biology subtask of AGIEval, as accessed in https://github.com/ruixiangcui/AGIEval/commit/5c77d073fda993f1652eaae3cf5d04cc5fd21d40 .
Citation:
@misc{zhong2023agieval,
title={AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models}… See the full description on the dataset page: https://huggingface.co/datasets/hails/agieval-gaokao-biology.trustworthy-biology-agents-traces
Trustworthy Biology Agents — Run Traces
Raw execution traces from 1,329 agent runs across three coding agents on three
biology benchmarks — BiomniBench-DA, BixBench, and CompBioBench. This is the scrubbed
trace bundle for the study in
manu-tej/ai-scientists; the write-up
lives in that repo's RESULTS.md.
The motivating question is not only whether an agent reaches the right answer, but
whether it behaves like a trustworthy analyst when the task is ambiguous,
under-specified, or… See the full description on the dataset page: https://huggingface.co/datasets/amanutej/trustworthy-biology-agents-traces.agieval-gaokao-biology
Dataset Card for "agieval-gaokao-biology"
Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell… See the full description on the dataset page: https://huggingface.co/datasets/dmayhem93/agieval-gaokao-biology.mmlu_college_biology