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README.md
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---
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license: mit
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dataset_info:
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features:
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splits:
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- name: train
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num_bytes: 254927419643
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num_examples: 100920235
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download_size: 147948949488
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dataset_size: 254927419643
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configs:
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- config_name: default
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data_files:
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path: data/train-*
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---
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license: mit
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dataset_info:
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features:
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- name: url
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dtype: string
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- name: tag
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dtype: string
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- name: text
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dtype: string
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- name: file_path
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dtype: string
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- name: dump
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dtype: string
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- name: file_size_in_byte
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dtype: int64
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- name: line_count
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dtype: int64
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splits:
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- name: train
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num_bytes: 254927419643
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num_examples: 100920235
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download_size: 147948949488
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dataset_size: 254927419643
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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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This code-related data from [Fineweb](https://huggingface.co/spaces/HuggingFaceFW/blogpost-fineweb-v1) was specifically used in OpenCoder's pre-training.
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We employ fastText in three iterative rounds to recall a final dataset of 55B code and math-related data.
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You can find math-related data at [OpenCoder-LLM/fineweb-math-corpus](https://huggingface.co/datasets/OpenCoder-LLM/fineweb-math-corpus).
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