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"""Data loading script for HPLT Monolingual Release v1.2.""" |
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import json |
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import logging |
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from json import JSONDecodeError |
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from pathlib import Path |
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from typing import List |
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import datasets |
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_DESCRIPTION = """\ |
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Data release 1.2 of the monolingual portion of HPLT (December 2023) |
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There are 75 languages in this release (22 TB of raw files, 11 TB of deduped files and 8.4 TB of clean files) provided as JSONL files compressed with zstd. For convenience, data is split into multiple shards, a few GB each. The number of shards per language depends on the size of the specific corpus. |
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""" |
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_HOMEPAGE = "https://hplt-project.org/" |
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_LICENSE = "CC0" |
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_PROCTYPE2URL = { |
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"": "https://data.hplt-project.org/one/monotext/{code}_map.txt", |
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"deduplicated": "https://data.hplt-project.org/one/monotext/deduplicated/{code}_map.txt", |
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"cleaned": "https://data.hplt-project.org/one/monotext/cleaned/{code}_map.txt", |
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} |
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_CODE2LANG = { |
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"af": "Afrikaans", |
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"ar": "Arabic", |
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"az": "Azerbaijani", |
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"be": "Belarusian", |
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"bg": "Bulgarian", |
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"bn": "Bangla", |
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"ca": "Catalan", |
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"cs": "Czech", |
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"cy": "Welsh", |
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"da": "Danish", |
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"de": "German", |
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"el": "Greek", |
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"en": "English", |
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"eo": "Esperanto", |
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"es": "Spanish", |
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"et": "Estonian", |
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"eu": "Basque", |
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"fa": "Persian", |
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"fi": "Finnish", |
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"fr": "French", |
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"ga": "Irish", |
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"gl": "Galician", |
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"gu": "Gujarati", |
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"hbs": "Serbo-Croatian", |
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"he": "Hebrew", |
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"hi": "Hindi", |
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"hu": "Hungarian", |
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"hy": "Armenian", |
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"id": "Indonesian", |
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"is": "Icelandic", |
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"it": "Italian", |
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"ja": "Japanese", |
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"ka": "Georgian", |
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"kk": "Kazakh", |
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"kn": "Kannada", |
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"ko": "Korean", |
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"ky": "Kyrgyz", |
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"la": "Latin", |
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"lt": "Lithuanian", |
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"lv": "Latvian", |
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"mk": "Macedonian", |
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"ml": "Malayalam", |
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"mn": "Mongolian", |
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"mr": "Marathi", |
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"ms": "Malay", |
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"mt": "Maltese", |
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"my": "Burmese", |
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"nb": "Norwegian Bokmål", |
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"ne": "Nepali", |
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"nl": "Dutch", |
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"nn": "Norwegian Nynorsk", |
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"pa": "Punjabi", |
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"pl": "Polish", |
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"ps": "Pashto", |
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"pt": "Portuguese", |
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"ro": "Romanian", |
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"ru": "Russian", |
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"si": "Sinhala", |
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"sk": "Slovak", |
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"sl": "Slovenian", |
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"so": "Somali", |
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"sq": "Albanian", |
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"sv": "Swedish", |
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"sw": "Swahili", |
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"ta": "Tamil", |
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"te": "Telugu", |
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"th": "Thai", |
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"tl": "Filipino", |
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"tr": "Turkish", |
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"tt": "Tatar", |
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"uk": "Ukrainian", |
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"ur": "Urdu", |
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"uz": "Uzbek", |
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"vi": "Vietnamese", |
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"zh": "Chinese", |
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} |
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_SUPPORTED_LANG_STR = "* " + "\n* ".join([f"{code}: {lang}" for code, lang in _CODE2LANG.items()]) |
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_VERSION = "1.2.0" |
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class Hplt_monolingual_v1_2(datasets.GeneratorBasedBuilder): |
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"""Release v1.2 of the HPLT monolingual datasets.""" |
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VERSION = datasets.Version(_VERSION) |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig( |
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name=f"{code}_{proc_type}" if proc_type else code, |
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version=datasets.Version(_VERSION), |
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description=f"{lang}{' ('+proc_type+')' if proc_type else ''} - HPLT {_VERSION}", |
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) |
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for code, lang in _CODE2LANG.items() |
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for proc_type in _PROCTYPE2URL |
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] |
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def _info(self): |
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features = datasets.Features( |
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{ |
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"id": datasets.Value("int64"), |
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"document_lang": datasets.Value("string"), |
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"scores": datasets.Sequence(datasets.Value("float64")), |
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"langs": datasets.Sequence(datasets.Value("string")), |
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"text": datasets.Value("string"), |
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"url": datasets.Value("string"), |
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"collection": datasets.Value("string"), |
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} |
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) |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=features, |
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homepage=_HOMEPAGE, |
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license=_LICENSE, |
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) |
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def _split_generators(self, dl_manager): |
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error_msg = ( |
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"You can choose any of the supported language codes as-is, or the `deduplicated` or `cleaned` versions," |
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f" e.g. nl, nl_deduplicated, nl_cleaned.\nSupported languages are:\n{_SUPPORTED_LANG_STR}" |
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) |
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try: |
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if "_" in self.config.name: |
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langcode, proctype = self.config.name.split("_", 1) |
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url = _PROCTYPE2URL[proctype].format(code=langcode) |
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else: |
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url = _PROCTYPE2URL[""].format(code=self.config.name) |
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except Exception as exc: |
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raise ValueError(f"Error reading the entered config '{self.config.name}'. {error_msg}") from exc |
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try: |
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pf_json_list = Path(dl_manager.download(url)).resolve() |
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except Exception as exc: |
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raise KeyError( |
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f"Error downloading JSONL overview. This may indicate a problem with the server OR you entered an" |
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f" unsupported language.\n{error_msg}" |
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) from exc |
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data_urls = [ |
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lstrip for line in pf_json_list.read_text(encoding="utf-8").splitlines() if (lstrip := line.strip()) |
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] |
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pfs_data = [Path(url) for url in dl_manager.download_and_extract(data_urls)] |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={ |
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"pfs_data": pfs_data, |
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}, |
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) |
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] |
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def _generate_examples(self, pfs_data: List[Path]): |
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document_idx = 1 |
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for pfin in pfs_data: |
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with pfin.open(encoding="utf-8") as fhin: |
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for line_idx, line in enumerate(fhin, 1): |
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line = line.strip() |
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if not line: |
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continue |
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try: |
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data = json.loads(line) |
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except JSONDecodeError as exc: |
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logging.error(f"Error parsing JSON! Line will be skipped...\n- file {pfin}\n- line no. {line_idx:,}\n- line: {line}\n- error: {exc}") |
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continue |
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yield document_idx, { |
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"id": document_idx, |
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"document_lang": data["document_lang"], |
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"scores": data["scores"], |
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"langs": data["langs"], |
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"text": data["text"], |
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"url": data["url"], |
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"collection": data["collection"], |
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} |
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document_idx += 1 |
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