Datasets:
Maurice Weber
commited on
Commit
•
fbbd8c2
1
Parent(s):
fde171d
simplify interface
Browse files- RedPajama-Data-V2.py +178 -215
RedPajama-Data-V2.py
CHANGED
@@ -21,16 +21,16 @@ import datasets
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import traceback
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import os
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import gzip
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logger = datasets.logging.get_logger(__name__)
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_DESCRIPTION = """\
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RedPajama V2
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"""
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_URL_BASE = 'https://data.together.xyz/redpajama-data-v2/v1.0.0'
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_LANGUAGES = ("en", "de", "fr", "es", "it")
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_SAMPLE_SNAPSHOT_ID = "2023-06"
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_LISTINGS_PATTERN = "listings/{language}-{snapshot}-{partition}.txt"
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_CC_SNAPSHOT_IDS = (
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@@ -124,120 +124,53 @@ _CC_SNAPSHOT_IDS = (
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class RedPajamaDataV2Config(datasets.BuilderConfig):
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"""BuilderConfig for RedPajama."""
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def __init__(self, *args,
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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(RedPajamaDataV2Config, self).__init__(**kwargs)
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self.partition = partition
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self.snapshots = snapshots
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self.
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_BUILDER_CONFIGS = [
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RedPajamaDataV2Config(
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name=f'_sample',
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partition='sample',
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snapshots=None,
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language=None,
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version=datasets.Version("1.0.0", ""),
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description=f"RedPajamaV2 Sample",
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),
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# this one is just an alias for the sample
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RedPajamaDataV2Config(
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name=f'sample',
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partition='sample',
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snapshots=None,
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language=None,
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version=datasets.Version("1.0.0", ""),
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description=f"RedPajamaV2 Sample",
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)
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]
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for lang in _LANGUAGES:
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_BUILDER_CONFIGS.extend(
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[
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# single snapshot
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RedPajamaDataV2Config(
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name=f'{lang}-head-middle-{snapshot}',
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partition='head_middle',
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snapshots=[snapshot],
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language=lang,
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version=datasets.Version("1.0.0", ""),
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description=f"RedPajamaV2 head-middle {lang}-{snapshot}",
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)
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for snapshot in _CC_SNAPSHOT_IDS
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] + [
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# all snapshots
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RedPajamaDataV2Config(
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name=f'{lang}-head-middle-all',
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partition='head_middle',
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snapshots=_CC_SNAPSHOT_IDS,
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language=lang,
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version=datasets.Version("1.0.0", ""),
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description=f"RedPajamaV2 head-middle {lang}"
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)
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]
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)
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_BUILDER_CONFIGS.extend(
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[
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# single snapshot
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RedPajamaDataV2Config(
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name=f'{lang}-tail-{snapshot}',
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partition='tail',
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snapshots=[snapshot],
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language=lang,
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version=datasets.Version("1.0.0", ""),
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description=f"RedPajamaV2 tail {lang}-{snapshot}",
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)
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for snapshot in _CC_SNAPSHOT_IDS
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] + [
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# all snapshots
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RedPajamaDataV2Config(
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name=f'{lang}-tail-all',
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partition='tail',
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snapshots=_CC_SNAPSHOT_IDS,
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language=lang,
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version=datasets.Version("1.0.0", ""),
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description=f"RedPajamaV2 tail {lang}"
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)
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]
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)
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class RedPajamaV2(datasets.GeneratorBasedBuilder):
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""" RedPajama V2: Quality annotated Web Text Documents. """
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BUILDER_CONFIGS =
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def _info(self):
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else:
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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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"raw_content": datasets.Value("string"),
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"doc_id": datasets.Value("string"),
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"meta": datasets.Value("string"),
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"quality_signals": datasets.Value("string")
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}
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),
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supervised_keys=None,
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)
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def _split_generators_sample(self, dl_manager):
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# fetch documents
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@@ -248,15 +181,15 @@ class RedPajamaV2(datasets.GeneratorBasedBuilder):
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listings = [line.strip() for line in fd]
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# fetch documents
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f"sample/documents/{lst}.json.gz" for lst in listings
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]
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})
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# fetch quality signals
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f"sample/quality_signals/{lst}.signals.json.gz"
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for lst in listings
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]
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@@ -266,74 +199,78 @@ class RedPajamaV2(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"
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"quality_signals_files": {
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_SAMPLE_SNAPSHOT_ID: signals_files[_SAMPLE_SNAPSHOT_ID]
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}
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}
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)
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]
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def _split_generators_full(self, dl_manager):
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for snapshot_id in self.config.snapshots
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}
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#
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os.path.join(
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_URL_BASE,
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f"quality_signals/{lst_id}.signals.json.gz"
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)
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]
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for snapshot_id in self.config.snapshots
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}
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)
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else:
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quality_signals_files = {}
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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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"
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},
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"quality_signals_files": {
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snapshot_id: quality_signals_files.get(snapshot_id)
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for snapshot_id in self.config.snapshots
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}
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}
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)
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]
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return self._split_generators_full(dl_manager)
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def _generate_examples(
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key = 0
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for
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import traceback
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import os
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import gzip
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from typing import List
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logger = datasets.logging.get_logger(__name__)
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_DESCRIPTION = """\
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RedPajama V2: an Open Dataset for Training Large Language Models
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"""
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_URL_BASE = 'https://data.together.xyz/redpajama-data-v2/v1.0.0'
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_LANGUAGES = ("en", "de", "fr", "es", "it")
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_LISTINGS_PATTERN = "listings/{language}-{snapshot}-{partition}.txt"
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_CC_SNAPSHOT_IDS = (
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class RedPajamaDataV2Config(datasets.BuilderConfig):
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"""BuilderConfig for RedPajama."""
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def __init__(self, *args, **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(RedPajamaDataV2Config, self).__init__(**kwargs)
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self.partition: str = kwargs.pop("partition", "all")
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self.snapshots: List[str] = kwargs.pop("snapshots", _CC_SNAPSHOT_IDS)
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self.languages: List[str] = kwargs.pop("languages", _LANGUAGES)
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class RedPajamaV2(datasets.GeneratorBasedBuilder):
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""" RedPajama V2: Quality annotated Web Text Documents. """
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BUILDER_CONFIGS = [
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RedPajamaDataV2Config(
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name='_sample',
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version=datasets.Version("1.0.0", ""),
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description=f"RedPajamaV2 Sample",
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),
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# this one is just an alias for the sample
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RedPajamaDataV2Config(
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name='sample',
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version=datasets.Version("1.0.0", ""),
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description=f"RedPajamaV2 Sample",
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),
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RedPajamaDataV2Config(
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name='default',
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version=datasets.Version("1.0.0", ""),
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description=f"RedPajamaV2",
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)
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]
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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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"raw_content": datasets.Value("string"),
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"doc_id": datasets.Value("string"),
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"meta": datasets.Value("string"),
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"quality_signals": datasets.Value("string")
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}
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),
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supervised_keys=None,
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)
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def _split_generators_sample(self, dl_manager):
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# fetch documents
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listings = [line.strip() for line in fd]
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# fetch documents
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documents_files = dl_manager.download({
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"head_middle": [
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f"sample/documents/{lst}.json.gz" for lst in listings
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]
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})
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# fetch quality signals
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quality_signals_files = dl_manager.download({
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"head_middle": [
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f"sample/quality_signals/{lst}.signals.json.gz"
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for lst in listings
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]
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"listings_ids": {"head_middle": listings},
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"documents_files": documents_files,
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"quality_signals_files": quality_signals_files
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}
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)
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]
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def _split_generators_full(self, dl_manager):
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snapshots = getattr(self.config, 'snapshots', _CC_SNAPSHOT_IDS)
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languages = getattr(self.config, 'languages', _LANGUAGES)
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partition = getattr(self.config, 'partition', 'all')
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partitions = {
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"all": ["head_middle", "tail"]
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}.get(partition, [partition])
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# nested structure: partition -> urls
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listings_files_urls = {}
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for part in partitions:
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listings_files_urls[part] = []
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for snapshot_id in snapshots:
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for lang in languages:
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listings_files_urls[part].append(
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_LISTINGS_PATTERN.format(
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language=lang,
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snapshot=snapshot_id,
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partition=part,
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)
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)
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# fetch listings from hub
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listings_files = dl_manager.download_and_extract(listings_files_urls)
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# fetch listings
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listings_ids = {}
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for part, part_listings_files in listings_files.items():
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listings_ids[part] = []
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for listings_file in part_listings_files:
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with open(listings_file, encoding="utf-8") as f:
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listings_ids[part].extend([
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line.strip() for line in f
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])
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# build urls pointing to documents and quality signals
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document_urls = {}
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quality_signals_urls = {}
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for part, part_listings_ids in listings_ids.items():
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document_urls[part] = []
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quality_signals_urls[part] = []
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for lst_id in part_listings_ids:
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document_urls[part].append(
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os.path.join(_URL_BASE, f"documents/{lst_id}.json.gz")
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)
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if part != "head_middle":
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continue
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quality_signals_urls[part].append(
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os.path.join(
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_URL_BASE, f"quality_signals/{lst_id}.signals.json.gz"
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)
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)
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documents_files = dl_manager.download(document_urls)
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quality_signals_files = dl_manager.download(quality_signals_urls)
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return [
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datasets.SplitGenerator(
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269 |
name=datasets.Split.TRAIN,
|
270 |
gen_kwargs={
|
271 |
+
"listings_ids": listings_ids,
|
272 |
+
"documents_files": documents_files,
|
273 |
+
"quality_signals_files": quality_signals_files
|
|
|
|
|
|
|
|
|
|
|
274 |
}
|
275 |
)
|
276 |
]
|
|
|
281 |
|
282 |
return self._split_generators_full(dl_manager)
|
283 |
|
284 |
+
def _generate_examples(
|
285 |
+
self, listings_ids, documents_files, quality_signals_files
|
286 |
+
):
|
|
|
287 |
key = 0
|
288 |
+
for part in documents_files.keys():
|
289 |
+
part_docs_files = documents_files[part]
|
290 |
+
part_qs_files = quality_signals_files[part]
|
291 |
+
part_listings_ids = listings_ids[part]
|
292 |
+
|
293 |
+
if len(part_qs_files) == 0:
|
294 |
+
for sample in self._handle_tail_partition(
|
295 |
+
part, part_docs_files, part_listings_ids
|
296 |
+
):
|
297 |
+
yield key, sample
|
298 |
+
key += 1
|
299 |
+
continue
|
300 |
+
|
301 |
+
for sample in self._handle_head_middle_partition(
|
302 |
+
part, part_docs_files, part_qs_files, part_listings_ids
|
303 |
+
):
|
304 |
+
yield key, sample
|
305 |
+
key += 1
|
306 |
+
|
307 |
+
def _handle_tail_partition(self, part, docs_files, listings_ids):
|
308 |
+
for doc_file, listing_id in zip(docs_files, listings_ids):
|
309 |
+
with gzip.open(doc_file, "rt", encoding="utf-8") as df:
|
310 |
+
for row, doc in enumerate(df):
|
311 |
+
doc_id = f"{listing_id}.json.gz/{row}"
|
312 |
+
try:
|
313 |
+
yield self.handle_record(part, doc_id, doc, None)
|
314 |
+
except Exception as e:
|
315 |
+
print(f'doc_file: {doc_file}')
|
316 |
+
print(f'row: {row}')
|
317 |
+
traceback.print_exc()
|
318 |
+
raise e
|
319 |
+
|
320 |
+
def _handle_head_middle_partition(
|
321 |
+
self, part, docs_files, qs_files, listings_ids
|
322 |
+
):
|
323 |
+
assert len(docs_files) == len(qs_files)
|
324 |
+
|
325 |
+
listings_ids = listings_ids[:len(docs_files)]
|
326 |
+
|
327 |
+
for doc_file, qs_file, listings_id in zip(
|
328 |
+
docs_files, qs_files, listings_ids
|
329 |
+
):
|
330 |
+
with gzip.open(doc_file, "rt", encoding="utf-8") as df:
|
331 |
+
with gzip.open(qs_file, "rt", encoding="utf-8") as qf:
|
332 |
+
for row, (doc, qs) in enumerate(zip(df, qf)):
|
333 |
+
doc_id = f"{listings_id}.json.gz/{row}"
|
334 |
+
try:
|
335 |
+
yield self.handle_record(part, doc_id, doc, qs)
|
336 |
+
except Exception as e:
|
337 |
+
print(f'doc_file: {doc_file}')
|
338 |
+
print(f'qs_file: {qs_file}')
|
339 |
+
print(f'row: {row}')
|
340 |
+
traceback.print_exc()
|
341 |
+
raise e
|
342 |
+
|
343 |
+
@staticmethod
|
344 |
+
def handle_record(part, doc_id, doc, qs):
|
345 |
+
doc = json.loads(doc)
|
346 |
+
qs = json.loads(qs) if qs is not None else {}
|
347 |
+
|
348 |
+
meta = {
|
349 |
+
"url": doc["url"],
|
350 |
+
"partition": part,
|
351 |
+
"language": doc["language"],
|
352 |
+
"source_domain": doc["source_domain"],
|
353 |
+
"date_download": doc["date_download"],
|
354 |
+
"digest": doc["digest"],
|
355 |
+
}
|
356 |
+
|
357 |
+
quality_signals = json.dumps(qs.get("quality_signals", {}))
|
358 |
+
|
359 |
+
return {
|
360 |
+
"raw_content": doc["raw_content"],
|
361 |
+
"doc_id": doc_id,
|
362 |
+
"meta": json.dumps(meta),
|
363 |
+
"quality_signals": quality_signals,
|
364 |
+
}
|