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import os |
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import pandas as pd |
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import glob |
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import datasets |
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_CITATION = """\ |
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@misc{shmidman2022introducing, |
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title={Introducing BEREL: BERT Embeddings for Rabbinic-Encoded Language}, |
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author={Avi Shmidman and Joshua Guedalia and Shaltiel Shmidman and Cheyn Shmuel Shmidman and Eli Handel and Moshe Koppel}, |
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year={2022}, |
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eprint={2208.01875}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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""" |
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_DESCRIPTION = """\ |
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This Dataset is a Hugging Face Reflection of the Sefaria Database. |
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The following is the description of Sefaria from the sefaria.org website: |
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Sefaria is home to 3,000 years of Jewish texts. We are a non-profit organization |
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offering free access to texts, translations, and commentaries so that everyone |
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can participate in the ongoing process of studying, interpreting, and creating Torah |
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""" |
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_HOMEPAGE = "https://github.com/Sefaria/Sefaria-Export" |
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_LICENSE = "Each text is licensed separately, so there is no overall license for this repository." |
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class Sefaria(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("1.0.8") |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(name="english", version=VERSION, description="This configuration contains only English texts"), |
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datasets.BuilderConfig(name="hebrew", version=VERSION, description="This configuration contains only Hebrew texts"), |
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datasets.BuilderConfig(name="all", version=VERSION, description="This configuration contains both English and Hebrew texts"), |
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] |
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DEFAULT_CONFIG_NAME = "all" |
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DATA_URLS = { |
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"english": ['https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Chasidut_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Midrash_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Apocrypha_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Halakhah_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Talmud_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Mishnah_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Tanaitic_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Halakhah_Commentary_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Philosophy_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Tanakh_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Halakhah_Tur_and_Commentaries_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Halakhah_Mishneh_Torah_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Modern_Works_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Responsa_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Halakhah_Shulchan_Arukh_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Kabbalah_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Musar_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Other_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Liturgy_english.parquet'], |
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"hebrew": ['https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Responsa_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Halakhah_Mishneh_Torah_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Kabbalah_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Halakhah_Commentary_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Liturgy_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Tanaitic_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Halakhah_Shulchan_Arukh_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Tanakh_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Mishnah_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Halakhah_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Other_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Halakhah_Tur_and_Commentaries_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Midrash_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Modern_Works_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Chasidut_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Musar_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Apocrypha_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Talmud_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Philosophy_hebrew.parquet'], |
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"all": ['https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Chasidut_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Midrash_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Apocrypha_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Halakhah_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Talmud_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Mishnah_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Tanaitic_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Halakhah_Commentary_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Philosophy_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Tanakh_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Halakhah_Tur_and_Commentaries_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Halakhah_Mishneh_Torah_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Modern_Works_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Responsa_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Halakhah_Shulchan_Arukh_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Kabbalah_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Musar_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Other_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Liturgy_english.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Responsa_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Halakhah_Mishneh_Torah_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Kabbalah_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Halakhah_Commentary_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Liturgy_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Tanaitic_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Halakhah_Shulchan_Arukh_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Tanakh_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Mishnah_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Halakhah_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Other_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Halakhah_Tur_and_Commentaries_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Midrash_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Modern_Works_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Chasidut_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Musar_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Apocrypha_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Talmud_hebrew.parquet', 'https://huggingface.co/datasets/mehdie/sefaria/raw/main/data/Philosophy_hebrew.parquet'] |
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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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"text": datasets.Value("string"), |
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"meta": 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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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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if self.config.name in ["english", "hebrew"]: |
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data_dir = dl_manager.download(self.DATA_URLS[self.config.name]) |
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print("datadir:") |
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print(data_dir) |
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print("found the following files in ") |
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for f in os.listdir(data_dir): |
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print(f) |
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filepaths = glob.glob(os.path.join(data_dir, "*" + self.config.name + ".parquet")) |
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else: |
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data_dir = dl_manager.download(self.DATA_URLS["all"]) |
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print("datadir:") |
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print(data_dir) |
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print("found the following files") |
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for f in os.listdir(data_dir): |
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print(f) |
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filepaths = glob.glob(os.path.join(data_dir, "*.parquet")) |
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print(f"Filepaths found: {filepaths}") |
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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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"filepaths": filepaths, |
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}, |
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), |
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] |
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def _generate_examples(self, filepaths): |
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for filepath in filepaths: |
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df = pd.read_parquet(filepath) |
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print(f"Reading file: {filepath}, number of rows: {len(df)}") |
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for idx, row in df.iterrows(): |
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yield idx, { |
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"text": row["text"], |
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"meta": row["meta"], |
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} |
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