Datasets:
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README.md
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## Format
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The dataset has 3 columns:
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- `uid`: a sequential identified for the sequence (not present in the original dataset)
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- `batch_idx`: the index of the batch to which a sequence belongs (not present in the original dataset).
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I did not create a separate file for these, but you can easily subset the first chunk (i.e., `data/train-001000.parquet`).
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## License
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For the license, refer to the original dataset ([EleutherAI/pile-deduped-pythia-preshuffled](https://huggingface.co/datasets/EleutherAI/pile-deduped-pythia-preshuffled)).
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## Format
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### `/data`
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The `/data` folder contains the original tokenised, packed, and preshuffled data.
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The dataset has 3 columns:
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- `uid`: a sequential identified for the sequence (not present in the original dataset)
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- `batch_idx`: the index of the batch to which a sequence belongs (not present in the original dataset).
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I did not create a separate file for these, but you can easily subset the first chunk (i.e., `data/train-001000.parquet`).
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### `idxmaps-npy`
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These are the files that are used to load the packed, tokenised, and preshuffled data starting
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from the [`EleutherAI/pythia_deduped_pile_idxmaps`](https://huggingface.co/datasets/EleutherAI/pythia_deduped_pile_idxmaps)
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using the [GPT2Dataset](https://github.com/EleutherAI/gpt-neox/blob/71df4d5017f9f4919566a11454fe3a507ffdc632/megatron/data/gpt2_dataset.py#L29)
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class implemented in the GPT-NeoX library.
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You can read this numpy file as follows:
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```python
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idx_file = np.load(<path_to_npy>, allow_pickle=True, mmap_mode="r")
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```
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Note: the dataset available under the `/data` folder is basically what you would get by combining the `pythia_deduped_pile_idxmaps`
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and these files.
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## License
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For the license, refer to the original dataset ([EleutherAI/pile-deduped-pythia-preshuffled](https://huggingface.co/datasets/EleutherAI/pile-deduped-pythia-preshuffled)).
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