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@@ -396,7 +396,6 @@ configs:
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  # 🍷 FineWeb
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  > 15 trillion tokens of the finest data the 🌐 web has to offer
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- >
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  # Table of Contents
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  - [🍷 FineWeb](#-fineweb)
@@ -487,10 +486,10 @@ pipeline_exec.run()
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  ```python
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  from huggingface_hub import snapshot_download
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  folder = snapshot_download(
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- "HuggingFaceFW/fineweb",
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- repo_type="dataset",
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- local_dir="./fineweb/",
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- allow_patterns="data/CC-MAIN-2023-50/*")
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  ```
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  For faster downloads, make sure to install `pip install huggingface_hub[hf_transfer]` and set the environment variable `HF_HUB_ENABLE_HF_TRANSFER=1`.
@@ -729,8 +728,8 @@ The data processing pipeline consists of:
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  4. Quality filtering
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  1. [Gopher Repetition /](https://github.com/huggingface/datatrove/blob/9a88bebc86a554f8521faa70b12ad4fa0c227537/src/datatrove/pipeline/filters/gopher_repetition_filter.py) [Quality](https://github.com/huggingface/datatrove/blob/9a88bebc86a554f8521faa70b12ad4fa0c227537/src/datatrove/pipeline/filters/gopher_quality_filter.py)
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  2. [C4 Quality filters](https://github.com/huggingface/datatrove/blob/9a88bebc86a554f8521faa70b12ad4fa0c227537/src/datatrove/pipeline/filters/c4_quality_filter.py) except `terminal_punct` rule
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- 3. [FineWeb custom filters](https://github.com/huggingface/datatrove/blob/9a88bebc86a554f8521faa70b12ad4fa0c227537/src/datatrove/pipeline/filters/gopher_repetition_filter.py), consisting of heuristics for removing list-like documents, documents with repeated lines and documents with likely wrong line formatting.
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- 5. [MinHash deduplication](https://github.com/huggingface/datatrove/blob/6daa5e879e06b21e6886b37e2b1be4ae58a658b6/src/datatrove/pipeline/dedup/minhash.py) ****with each crawl deduplicated individually (5-grams, 14x8 hash functions)
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  6. [PII Formatting](https://github.com/huggingface/datatrove/blob/main/src/datatrove/pipeline/formatters/pii.py) to anonymize email and public IP addresses
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  ### Annotations
@@ -781,7 +780,8 @@ We plan to not only continue but also expand our efforts to create open-source h
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  title = {FineWeb},
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  month = April,
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  year = 2024,
 
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  url = {https://huggingface.co/datasets/HuggingFaceFW/fineweb}
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  }
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- ```
 
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  # 🍷 FineWeb
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  > 15 trillion tokens of the finest data the 🌐 web has to offer
 
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  # Table of Contents
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  - [🍷 FineWeb](#-fineweb)
 
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  ```python
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  from huggingface_hub import snapshot_download
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  folder = snapshot_download(
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+ "HuggingFaceFW/fineweb",
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+ repo_type="dataset",
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+ local_dir="./fineweb/",
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+ allow_patterns="data/CC-MAIN-2023-50/*")
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  ```
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  For faster downloads, make sure to install `pip install huggingface_hub[hf_transfer]` and set the environment variable `HF_HUB_ENABLE_HF_TRANSFER=1`.
 
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  4. Quality filtering
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  1. [Gopher Repetition /](https://github.com/huggingface/datatrove/blob/9a88bebc86a554f8521faa70b12ad4fa0c227537/src/datatrove/pipeline/filters/gopher_repetition_filter.py) [Quality](https://github.com/huggingface/datatrove/blob/9a88bebc86a554f8521faa70b12ad4fa0c227537/src/datatrove/pipeline/filters/gopher_quality_filter.py)
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  2. [C4 Quality filters](https://github.com/huggingface/datatrove/blob/9a88bebc86a554f8521faa70b12ad4fa0c227537/src/datatrove/pipeline/filters/c4_quality_filter.py) except `terminal_punct` rule
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+ 3. [FineWeb custom filters](https://github.com/huggingface/datatrove/blob/05194d3960741e7d5c0bd0d6dd69d44514622549/examples/fineweb.py), consisting of heuristics for removing list-like documents, documents with repeated lines and documents with likely wrong line formatting.
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+ 5. [MinHash deduplication](https://github.com/huggingface/datatrove/blob/6daa5e879e06b21e6886b37e2b1be4ae58a658b6/src/datatrove/pipeline/dedup/minhash.py) with each crawl deduplicated individually (5-grams, 14x8 hash functions)
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  6. [PII Formatting](https://github.com/huggingface/datatrove/blob/main/src/datatrove/pipeline/formatters/pii.py) to anonymize email and public IP addresses
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  ### Annotations
 
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  title = {FineWeb},
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  month = April,
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  year = 2024,
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+ doi = { 10.57967/hf/2092 },
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  url = {https://huggingface.co/datasets/HuggingFaceFW/fineweb}
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  }
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+ ```