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| # BECoS Processed | |
| Preprocessed BECoS dataset hosted on the Hugging Face Hub: | |
| [`larryshaw0079/becos_processed`](https://huggingface.co/datasets/larryshaw0079/becos_processed). | |
| ## Contents | |
| | File | Description | | |
| | -------------------------------------------------- | -------------------------------------- | | |
| | `train.zip.xx` (`train.zip.00`, `train.zip.01`, …) | Training split, byte-split for upload | | |
| | `val.zip` | Validation split | | |
| | `test.zip` | Test split | | |
| ## Download | |
| ```bash | |
| pip install -U huggingface_hub | |
| huggingface-cli download larryshaw0079/becos_processed \ | |
| --repo-type dataset --local-dir becos_processed | |
| cd becos_processed | |
| ``` | |
| Or grab individual files from the [Files tab](https://huggingface.co/datasets/larryshaw0079/becos_processed/tree/main). | |
| ## Decompress | |
| ```bash | |
| # Training split — stream the chunks into unzip in one command | |
| cat train.zip.* | unzip - | |
| # Validation and test splits | |
| unzip -o val.zip -d val && rm val.zip | |
| unzip -o test.zip -d test && rm test.zip | |
| ``` | |
| > `unzip` needs a seekable input (it reads the central directory at the end of the | |
| > archive), so the chunks are joined on the fly and handed to `unzip` in a single | |
| > chained command. No standalone `train.zip` is kept after extraction. | |
| Result: | |
| ``` | |
| becos_processed/ | |
| ├── train/ | |
| ├── val/ | |
| └── test/ | |
| ``` | |
| ## License & citation | |
| See the [dataset card](https://huggingface.co/datasets/larryshaw0079/becos_processed) for license and citation details. | |