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--- |
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dataset_info: |
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features: |
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- name: seqs |
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dtype: string |
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- name: labels |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 88951983 |
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num_examples: 283057 |
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- name: valid |
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num_bytes: 19213838 |
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num_examples: 62973 |
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- name: test |
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num_bytes: 22317993 |
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num_examples: 73205 |
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download_size: 127755417 |
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dataset_size: 130483814 |
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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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- split: valid |
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path: data/valid-* |
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- split: test |
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path: data/test-* |
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--- |
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# INFORMATION FROM [HERE](https://huggingface.co/datasets/biomap-research/temperature_stability) PLEASE CITE THEIR PAPER BELOW |
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### Dataset Summary |
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The accurate prediction of protein thermal stability has far-reaching implications in both academic and industrial spheres. This task primarily aims to predict a protein’s capacity to preserve its structural stability under a temperature condition of 65 degrees Celsius. |
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## Dataset Structure |
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### Data Instances |
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For each instance, there is a string representing the protein sequence and an integer label indicating whether the protein can maintain its structural stability at a temperature of 65 degrees Celsius. See the [temperature stability dataset viewer](https://huggingface.co/datasets/Bo1015/temperature_stability/viewer) to explore more examples. |
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``` |
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{'seq':'MEHVIDNFDNIDKCLKCGKPIKVVKLKYIKKKIENIPNSHLINFKYCSKCKRENVIENL' |
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'label':1} |
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``` |
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The average for the `seq` and the `label` are provided below: |
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| Feature | Mean Count | |
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| ---------- | ---------------- | |
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| seq | 300 | |
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### Data Fields |
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- `seq`: a string containing the protein sequence |
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- `label`: an integer label indicating the structural stability of each sequence. |
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### Data Splits |
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The temperature stability dataset has 3 splits: _train_, _valid_, and _test_. Below are the statistics of the dataset. |
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| Dataset Split | Number of Instances in Split | |
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| ------------- | ------------------------------------------- | |
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| Train | 283,057 | |
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| Valid | 62,973 | |
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| Test | 73,205 | |
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### Source Data |
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#### Initial Data Collection and Normalization |
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We adapted the dataset strategy from [TemStaPro](https://academic.oup.com/bioinformatics/article/40/4/btae157/7632735). |
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### Licensing Information |
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The dataset is released under the [Apache-2.0 License](http://www.apache.org/licenses/LICENSE-2.0). |
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### Citation |
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If you find our work useful, please consider citing the following paper: |
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``` |
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@misc{chen2024xtrimopglm, |
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title={xTrimoPGLM: unified 100B-scale pre-trained transformer for deciphering the language of protein}, |
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author={Chen, Bo and Cheng, Xingyi and Li, Pan and Geng, Yangli-ao and Gong, Jing and Li, Shen and Bei, Zhilei and Tan, Xu and Wang, Boyan and Zeng, Xin and others}, |
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year={2024}, |
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eprint={2401.06199}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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note={arXiv preprint arXiv:2401.06199} |
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} |
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``` |
