Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Update README.md
Browse files
README.md
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@@ -29,7 +29,7 @@ You can scrape and clean all 16 guideline sources using our code in [epfLLM/medi
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- **Language(s):** English only
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- **License:** [Common Crawl Foundation Terms of Use](https://commoncrawl.org/terms-of-use)
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- **Repository:** [epfLLM/meditron](https://github.com/epfLLM/meditron)
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- **Paper:** *[MediTron-70B: Scaling Medical Pretraining for Large Language Models]()*
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- **Knowledge Cutoff**: August 2023
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## Dataset Creation
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```
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@software{epfmedtrn,
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author
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Antoine Bonnet and
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Angelika Romanou and
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Francesco Salvi and
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Alejandro Hernández Cano and
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Kyle Matoba and
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Alexandre Sallinen and
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Syrielle Montariol and
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Antoine Bosselut and
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Martin Jaggi},
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title = {MediTron-70B: Scaling Medical Pretraining for Large Language Models},
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month = November,
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year = 2023,
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- **Language(s):** English only
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- **License:** [Common Crawl Foundation Terms of Use](https://commoncrawl.org/terms-of-use)
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- **Repository:** [epfLLM/meditron](https://github.com/epfLLM/meditron)
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- **Paper:** *[MediTron-70B: Scaling Medical Pretraining for Large Language Models](https://arxiv.org/abs/2311.16079)*
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- **Knowledge Cutoff**: August 2023
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## Dataset Creation
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```
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@software{epfmedtrn,
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author={Zeming Chen and Alejandro Hernández Cano and Angelika Romanou and Antoine Bonnet and Kyle Matoba and Francesco Salvi and Matteo Pagliardini and Simin Fan and Andreas Köpf and Amirkeivan Mohtashami and Alexandre Sallinen and Alireza Sakhaeirad and Vinitra Swamy and Igor Krawczuk and Deniz Bayazit and Axel Marmet and Syrielle Montariol and Mary-Anne Hartley and Martin Jaggi and Antoine Bosselut}
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title = {MediTron-70B: Scaling Medical Pretraining for Large Language Models},
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month = November,
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year = 2023,
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