Datasets:
files
Browse files
dolma.py
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"""Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research"""
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import json
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from pathlib import Path
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from typing import Dict, List
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import datasets
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import traceback
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import os
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logger = datasets.logging.get_logger(__name__)
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_CURRENT_DIR = Path(__file__).resolve().parent
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_DESCRIPTION = """\
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Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
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"""
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"v1":
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"v1_5r1":
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"v1_5r1-sample":
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"v1_5r2":
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}
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"v1": "1.0.0",
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"v1_5r1": "1.5.0",
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"v1_5r1-sample": "1.5.0",
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"v1_5r2": "1.5.0",
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}
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"v1": "
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"v1_5r1": "
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"v1_5r1-sample": "
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"v1_5r2": "Dolma v1.5r2 (Dec 2023)",
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}
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_BASE_URL = "https://olmo-data.org"
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@@ -57,40 +53,31 @@ _DATA_DIR = os.environ.get("DOLMA_DATA_DIR", None)
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_CITATION = """\
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@article{dolma,
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title = {{Dolma: An Open Corpus of Three Trillion Tokens for Language Model Pretraining Research}},
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author = {
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year = {2024},
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journal={arXiv preprint},
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}
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"""
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class
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"""BuilderConfig for RedPajama sample."""
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def __init__(self, *args, subsets: List[str], url_file: Path, **kwargs):
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"""BuilderConfig for RedPajama.
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Args:
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**kwargs: keyword arguments forwarded to super.
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"""
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super(RedPajama1TConfig, self).__init__(*args, **kwargs)
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self.subsets = subsets
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self.url_file = url_file
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class RedPajama1T(datasets.GeneratorBasedBuilder):
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"""Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research"""
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config: RedPajama1TConfig
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BUILDER_CONFIGS = [
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name=
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version=datasets.Version(_SUBSET_VERSION[subset], _SUBSET_NAME[subset]),
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description=_DESCRIPTION,
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)
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for
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]
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DEFAULT_CONFIG_NAME = "v1_5r2"
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)
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def _split_generators(self, dl_manager):
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with open(self.config.
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subset_urls
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breakpoint()
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for subset in self.config.subsets:
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url_lists[subset] = dl_manager.download(subset_urls[subset])
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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={"files":
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)
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]
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def _generate_examples(self, files):
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"""This function returns the examples in the raw (text) form."""
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"""Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research"""
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from pathlib import Path
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import datasets
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import os
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logger = datasets.logging.get_logger(__name__)
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_DESCRIPTION = """\
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Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
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"""
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_URL_LISTS = {
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"v1": "urls/v1.txt",
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"v1_5r1": "urls/v1_5r1.txt",
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"v1_5r1-sample": "urls/v1_5r1-sample.txt",
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"v1_5r2": "urls/v1_5r2.txt",
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}
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_VERSIONS = {
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"v1": "1.0.0",
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"v1_5r1": "1.5.0",
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"v1_5r1-sample": "1.5.0",
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"v1_5r2": "1.5.0",
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}
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_DATES = {
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"v1": "(Aug 2023)",
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"v1_5r1": "(Oct 2023)",
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"v1_5r1-sample": "(Oct 2023)",
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"v1_5r2": "Dolma v1.5r2 (Dec 2023)",
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}
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_BASE_URL = "https://olmo-data.org"
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_CITATION = """\
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@article{dolma,
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title = {{Dolma: An Open Corpus of Three Trillion Tokens for Language Model Pretraining Research}},
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author = {
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Luca Soldaini and Rodney Kinney and Akshita Bhagia and Dustin Schwenk and David Atkinson and
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Russell Authur and Ben Bogin and Khyathi Chandu and Jennifer Dumas and Yanai Elazar and
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Valentin Hofmann and Ananya Harsh Jha and Sachin Kumar and Li Lucy and Xinxi Lyu and Ian Magnusson and
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Jacob Morrison and Niklas Muennighoff and Aakanksha Naik and Crystal Nam and Matthew E. Peters and
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Abhilasha Ravichander and Kyle Richardson and Zejiang Shen and Emma Strubell and Nishant Subramani and
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Oyvind Tafjord and Evan Pete Walsh and Hannaneh Hajishirzi and Noah A. Smith and Luke Zettlemoyer and
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Iz Beltagy and Dirk Groeneveld and Jesse Dodge and Kyle Lo
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},
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year = {2024},
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journal={arXiv preprint},
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}
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"""
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class Dolma(datasets.GeneratorBasedBuilder):
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"""Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research"""
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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name=name,
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version=_VERSIONS[name],
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description=f"{_DESCRIPTION} {_DATES[name]}",
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)
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for name in _URL_LISTS.keys()
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]
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DEFAULT_CONFIG_NAME = "v1_5r2"
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)
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def _split_generators(self, dl_manager):
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with open(_URL_LISTS[self.config.name], mode="rt", encoding="utf-8") as f:
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subset_urls = f.read().splitlines()
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breakpoint()
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subset_files = dl_manager.download(subset_urls)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN, # type: ignore[assignment]
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gen_kwargs={"files": subset_files},
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)
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]
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def _generate_examples(self, files):
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"""This function returns the examples in the raw (text) form."""
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raise NotImplementedError("Dolma is a streaming dataset")
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urls/{dolma-v1.txt → v1.txt}
RENAMED
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File without changes
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urls/{dolma-v1_5r1-sample.txt → v1_5r1-sample.txt}
RENAMED
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File without changes
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urls/{dolma-v1_5r1.txt → v1_5r1.txt}
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File without changes
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urls/{dolma-v1_5r2.txt → v1_5r2.txt}
RENAMED
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File without changes
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