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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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+ ---
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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
9
+ - name: text
10
+ dtype: string
11
+ - name: file_path
12
+ dtype: string
13
+ - name: dump
14
+ dtype: string
15
+ - name: file_size_in_byte
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+ dtype: int64
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+ - name: line_count
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+ dtype: int64
19
+ splits:
20
+ - name: train
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+ num_bytes: 254927419643
22
+ 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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+
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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).