Merge branch 'main' of https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T
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README.md
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The dataset consists of 2084 jsonl files.
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You can download the dataset using HuggingFace:
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```
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from datasets import load_dataset
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ds = load_dataset("togethercomputer/RedPajama-Data-1T")
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```
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Or you can directly download the files using the following command:
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```
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wget
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```
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A smaller 1B-token sample of the dataset can be found [here](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T-Sample).
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A full set of scripts to recreate the dataset from scratch can be found [here](https://github.com/togethercomputer/RedPajama-Data).
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The dataset structure is as follows:
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```
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{
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"text": ...,
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"meta": {"url": "...", "timestamp": "...", "source": "...", "language": "...", ...},
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The dataset consists of 2084 jsonl files.
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You can download the dataset using HuggingFace:
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```python
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from datasets import load_dataset
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ds = load_dataset("togethercomputer/RedPajama-Data-1T")
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```
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Or you can directly download the files using the following command:
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```
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wget 'https://data.together.xyz/redpajama-data-1T/v1.0.0/urls.txt'
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while read line; do
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dload_loc=${line#https://data.together.xyz/redpajama-data-1T/v1.0.0/}
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mkdir -p $(dirname $dload_loc)
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wget "$line" -O "$dload_loc"
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done < urls.txt
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```
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A smaller 1B-token sample of the dataset can be found [here](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T-Sample).
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A full set of scripts to recreate the dataset from scratch can be found [here](https://github.com/togethercomputer/RedPajama-Data).
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The dataset structure is as follows:
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```json
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{
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"text": ...,
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"meta": {"url": "...", "timestamp": "...", "source": "...", "language": "...", ...},
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