chore: update README.md content
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README.md
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dtype: string
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splits:
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- name: train
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num_bytes: 902953
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num_examples: 2446
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download_size: 246445
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dataset_size: 902953
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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dtype: string
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splits:
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- name: train
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num_bytes: 902953
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num_examples: 2446
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download_size: 246445
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dataset_size: 902953
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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task_categories:
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- text-generation
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- text2text-generation
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- question-answering
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language:
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- en
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size_categories:
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- 1K<n<10K
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---
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## Description
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The dataset is from [medalpaca/medical_meadow_pubmed_causal](https://huggingface.co/datasets/medalpaca/medical_meadow_pubmed_causal), formatted as dialogues for speed and ease of use. Many thanks to author for releasing it.
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Importantly, this format is easy to use via the default chat template of `transformers`, meaning you can use [huggingface/alignment-handbook](https://github.com/huggingface/alignment-handbook) immediately, [unsloth](https://github.com/unslothai/unsloth).
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## Structure
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*View online through viewer.*
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## Note
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We advise you to reconsider before use, thank you. If you find it useful, please like and follow this account.
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## Reference
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The **Ghost X** was developed with the goal of researching and developing artificial intelligence useful to humans.
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- HuggingFace: [ghost-x](https://huggingface.co/ghost-x)
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- Github: [ghost-x-ai](https://github.com/ghost-x-ai)
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- X / Twitter: [ghostx_ai](https://twitter.com/ghostx_ai)
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- Website: [ghost-x.org](https://ghost-x.org/)
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## Citation
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```json
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@inproceedings{yu-etal-2019-detecting,
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title = "Detecting Causal Language Use in Science Findings",
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author = "Yu, Bei and
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Li, Yingya and
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Wang, Jun",
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booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
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month = nov,
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year = "2019",
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address = "Hong Kong, China",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/D19-1473",
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doi = "10.18653/v1/D19-1473",
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pages = "4664--4674",
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}
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```
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### ~
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