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import gzip |
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import json |
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import re |
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from typing import List |
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import datasets |
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logger = datasets.logging.get_logger(__name__) |
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_DESCRIPTION = """\ |
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The mC4 dataset to which arbitrary filters can be applied. |
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The original description is below: |
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=== |
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A colossal, cleaned version of Common Crawl's web crawl corpus. |
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Based on Common Crawl dataset: "https://commoncrawl.org". |
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This is the processed version of Google's mC4 dataset by AllenAI. |
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""" |
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_CITATION = """ |
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@article{2019t5, |
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author = {Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu}, |
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title = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer}, |
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journal = {arXiv e-prints}, |
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year = {2019}, |
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archivePrefix = {arXiv}, |
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eprint = {1910.10683}, |
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} |
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""" |
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_URL = "https://github.com/allenai/allennlp/discussions/5056" |
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_DATA_URL = "https://huggingface.co/datasets/allenai/c4/resolve/1ddc917116b730e1859edef32896ec5c16be51d0/multilingual/c4-{language}{split_suffix}.tfrecord-{index:05d}-of-{n_shards:05d}.json.gz" |
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_LANGUAGES = [ |
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"af", |
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"am", |
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"ar", |
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"az", |
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"be", |
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"bg", |
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"bg-Latn", |
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"bn", |
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"ca", |
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"ceb", |
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"co", |
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"cs", |
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"cy", |
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"da", |
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"de", |
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"el", |
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"el-Latn", |
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"en", |
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"eo", |
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"es", |
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"et", |
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"eu", |
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"fa", |
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"fi", |
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"fil", |
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"fr", |
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"fy", |
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"ga", |
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"gd", |
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"gl", |
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"gu", |
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"ha", |
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"haw", |
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"hi", |
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"hi-Latn", |
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"hmn", |
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"ht", |
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"hu", |
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"hy", |
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"id", |
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"ig", |
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"is", |
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"it", |
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"iw", |
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"ja", |
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"ja-Latn", |
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"jv", |
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"ka", |
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"kk", |
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"km", |
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"kn", |
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"ko", |
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"ku", |
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"ky", |
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"la", |
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"lb", |
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"lo", |
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"lt", |
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"lv", |
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"mg", |
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"mi", |
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"mk", |
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"ml", |
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"mn", |
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"mr", |
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"ms", |
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"mt", |
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"my", |
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"ne", |
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"nl", |
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"no", |
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"ny", |
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"pa", |
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"pl", |
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"ps", |
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"pt", |
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"ro", |
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"ru", |
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"ru-Latn", |
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"sd", |
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"si", |
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"sk", |
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"sl", |
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"sm", |
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"sn", |
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"so", |
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"sq", |
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"sr", |
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"st", |
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"su", |
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"sv", |
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"sw", |
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"ta", |
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"te", |
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"tg", |
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"th", |
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"tr", |
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"uk", |
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"und", |
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"ur", |
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"uz", |
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"vi", |
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"xh", |
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"yi", |
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"yo", |
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"zh", |
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"zh-Latn", |
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"zu", |
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] |
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_N_SHARDS_PER_SPLIT = { |
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"af": {"train": 64, "validation": 1}, |
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"am": {"train": 16, "validation": 1}, |
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"ar": {"train": 1024, "validation": 4}, |
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"az": {"train": 256, "validation": 1}, |
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"be": {"train": 128, "validation": 1}, |
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"bg": {"train": 1024, "validation": 1}, |
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"bg-Latn": {"train": 4, "validation": 1}, |
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"bn": {"train": 512, "validation": 1}, |
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"ca": {"train": 512, "validation": 1}, |
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"ceb": {"train": 8, "validation": 1}, |
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"co": {"train": 8, "validation": 1}, |
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"cs": {"train": 1024, "validation": 2}, |
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"cy": {"train": 256, "validation": 1}, |
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"da": {"train": 1024, "validation": 1}, |
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"de": {"train": 2048, "validation": 16}, |
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"el": {"train": 1024, "validation": 2}, |
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"el-Latn": {"train": 16, "validation": 1}, |
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"en": {"train": 11264, "validation": 128}, |
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"eo": {"train": 32, "validation": 1}, |
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"es": {"train": 2048, "validation": 16}, |
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"et": {"train": 256, "validation": 1}, |
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"eu": {"train": 64, "validation": 1}, |
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"fa": {"train": 1024, "validation": 2}, |
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"fi": {"train": 1024, "validation": 1}, |
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"fil": {"train": 64, "validation": 1}, |
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"fr": {"train": 2048, "validation": 16}, |
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"fy": {"train": 16, "validation": 1}, |
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"ga": {"train": 16, "validation": 1}, |
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"gd": {"train": 16, "validation": 1}, |
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"gl": {"train": 128, "validation": 1}, |
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"gu": {"train": 64, "validation": 1}, |
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"ha": {"train": 8, "validation": 1}, |
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"haw": {"train": 2, "validation": 1}, |
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"hi": {"train": 1024, "validation": 2}, |
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"hi-Latn": {"train": 16, "validation": 1}, |
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"hmn": {"train": 8, "validation": 1}, |
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"ht": {"train": 8, "validation": 1}, |
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"hu": {"train": 1024, "validation": 2}, |
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"hy": {"train": 128, "validation": 1}, |
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"id": {"train": 1024, "validation": 4}, |
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"ig": {"train": 4, "validation": 1}, |
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"is": {"train": 128, "validation": 1}, |
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"it": {"train": 1024, "validation": 8}, |
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"iw": {"train": 1024, "validation": 1}, |
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"ja": {"train": 1024, "validation": 8}, |
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"ja-Latn": {"train": 8, "validation": 1}, |
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"jv": {"train": 8, "validation": 1}, |
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"ka": {"train": 256, "validation": 1}, |
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"kk": {"train": 256, "validation": 1}, |
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"km": {"train": 64, "validation": 1}, |
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"kn": {"train": 64, "validation": 1}, |
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"ko": {"train": 1024, "validation": 1}, |
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"ku": {"train": 16, "validation": 1}, |
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"ky": {"train": 64, "validation": 1}, |
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"la": {"train": 64, "validation": 1}, |
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"lb": {"train": 32, "validation": 1}, |
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"lo": {"train": 8, "validation": 1}, |
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"lt": {"train": 512, "validation": 1}, |
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"lv": {"train": 256, "validation": 1}, |
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"mg": {"train": 8, "validation": 1}, |
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"mi": {"train": 4, "validation": 1}, |
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"mk": {"train": 128, "validation": 1}, |
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"ml": {"train": 128, "validation": 1}, |
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"mn": {"train": 128, "validation": 1}, |
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"mr": {"train": 1024, "validation": 1}, |
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"ms": {"train": 512, "validation": 1}, |
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"mt": {"train": 128, "validation": 1}, |
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"my": {"train": 64, "validation": 1}, |
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"ne": {"train": 256, "validation": 1}, |
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"nl": {"train": 1024, "validation": 4}, |
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"no": {"train": 1024, "validation": 1}, |
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"ny": {"train": 4, "validation": 1}, |
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"pa": {"train": 32, "validation": 1}, |
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"pl": {"train": 1024, "validation": 4}, |
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"ps": {"train": 16, "validation": 1}, |
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"pt": {"train": 1024, "validation": 4}, |
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"ro": {"train": 1024, "validation": 2}, |
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"ru": {"train": 4096, "validation": 32}, |
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"ru-Latn": {"train": 32, "validation": 1}, |
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"sd": {"train": 64, "validation": 1}, |
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"si": {"train": 64, "validation": 1}, |
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"sk": {"train": 512, "validation": 1}, |
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"sl": {"train": 256, "validation": 1}, |
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"sm": {"train": 4, "validation": 1}, |
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"sn": {"train": 8, "validation": 1}, |
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"so": {"train": 64, "validation": 1}, |
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"sq": {"train": 128, "validation": 1}, |
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"sr": {"train": 256, "validation": 1}, |
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"st": {"train": 2, "validation": 1}, |
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"su": {"train": 4, "validation": 1}, |
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"sv": {"train": 1024, "validation": 2}, |
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"sw": {"train": 32, "validation": 1}, |
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"ta": {"train": 256, "validation": 1}, |
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"te": {"train": 128, "validation": 1}, |
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"tg": {"train": 64, "validation": 1}, |
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"th": {"train": 1024, "validation": 1}, |
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"tr": {"train": 1024, "validation": 4}, |
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"uk": {"train": 1024, "validation": 2}, |
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"und": {"train": 3072, "validation": 32}, |
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"ur": {"train": 128, "validation": 1}, |
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"uz": {"train": 32, "validation": 1}, |
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"vi": {"train": 1024, "validation": 4}, |
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"xh": {"train": 2, "validation": 1}, |
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"yi": {"train": 16, "validation": 1}, |
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"yo": {"train": 2, "validation": 1}, |
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"zh": {"train": 1024, "validation": 2}, |
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"zh-Latn": {"train": 8, "validation": 1}, |
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"zu": {"train": 8, "validation": 1}, |
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} |
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class FilteredMc4Config(datasets.BuilderConfig): |
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"""BuilderConfig for mC4.""" |
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def __init__( |
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self, |
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*args, |
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languages, |
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filter_target_field: str="text", |
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reject_patterns: List[str]=[r"(?!)"], |
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max_reject_pattern_occurence: int=1, |
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**kwargs, |
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): |
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"""BuilderConfig for mC4. |
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Args: |
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languages (:obj:`List[str]`): list of languages to load |
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**kwargs: keyword arguments forwarded to super. |
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""" |
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super().__init__( |
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*args, |
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name="+".join(languages), |
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**kwargs, |
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) |
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self.languages = languages |
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self.filter_target_field = filter_target_field |
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self.reject_patterns = reject_patterns |
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self.max_reject_pattern_occurence = max_reject_pattern_occurence |
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def filter(self, example: dict) -> bool: |
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reject_patterns = [re.compile(_) for _ in self.reject_patterns] |
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for reject_pattern in reject_patterns: |
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for count, _ in enumerate(reject_pattern.finditer(example[self.filter_target_field])): |
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if count == self.max_reject_pattern_occurence: |
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return False |
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return True |
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class FilteredMc4(datasets.GeneratorBasedBuilder): |
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"""mC4, a colossal, cleaned version of Common Crawl's web crawl corpus.""" |
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BUILDER_CONFIGS = [FilteredMc4Config(languages=[lang]) for lang in _LANGUAGES] |
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BUILDER_CONFIG_CLASS = FilteredMc4Config |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=datasets.Features( |
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{ |
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"text": datasets.Value("string"), |
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"timestamp": datasets.Value("string"), |
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"url": datasets.Value("string"), |
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} |
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), |
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supervised_keys=None, |
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homepage=_URL, |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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data_urls = {} |
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for split in ["train", "validation"]: |
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data_urls[split] = [ |
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_DATA_URL.format( |
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language=lang, |
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split_suffix="-validation" if split == "validation" else "", |
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index=index, |
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n_shards=_N_SHARDS_PER_SPLIT[lang][split], |
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) |
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for lang in self.config.languages |
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for index in range(_N_SHARDS_PER_SPLIT[lang][split]) |
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] |
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train_downloaded_files = dl_manager.download(data_urls["train"]) |
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validation_downloaded_files = dl_manager.download(data_urls["validation"]) |
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return [ |
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepaths": train_downloaded_files}), |
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datasets.SplitGenerator( |
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name=datasets.Split.VALIDATION, gen_kwargs={"filepaths": validation_downloaded_files} |
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), |
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] |
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def _generate_examples(self, filepaths): |
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"""This function returns the examples in the raw (text) form by iterating on all the files.""" |
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id_ = 0 |
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for filepath in filepaths: |
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logger.info("generating examples from = %s", filepath) |
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with gzip.open(open(filepath, "rb"), "rt", encoding="utf-8") as f: |
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for line in f: |
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if line: |
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example = json.loads(line) |
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if self.config.filter(example): |
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yield id_, example |
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id_ += 1 |
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