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from functools import partial
import polars as pl
from datasets import load_dataset_builder
from huggingface_hub import list_repo_files
from bbcfw.core.caching import make_cache_path, mktemp_cache_dir
def map_file_configs(dataset_id: str) -> pl.DataFrame:
"""Map every file to a config (subset)."""
builder_configs = dict(load_dataset_builder(dataset_id).builder_configs)
del builder_configs["default"] # Overlaps data/* configs, the rest are all disjoint
# Check that there's only 1 split per config (the train split), with 1 path pattern
assert set(len(v.data_files) for v in builder_configs.values()) == {1}
assert set(len(v.data_files["train"]) for v in builder_configs.values()) == {1}
cfg2path = pl.DataFrame(
[
{
"config_name": cfg_name,
"path": builder_configs[cfg_name].data_files["train"][0],
}
for cfg_name in builder_configs
]
).with_columns(pl.col("path").str.strip_suffix("/*"))
source_files = (
(
pl.DataFrame(
{"name": pl.Series(list_repo_files(dataset_id, repo_type="dataset"))}
)
.with_columns(
# Keep only filenames which are 2 levels deep (2nd subpath = the config name)
path=pl.col("name").str.extract(r"([^/]*/[^/]*)/"),
)
.drop_nulls()
.sort("name")
)
.join(cfg2path, on="path")
.drop("path")
)
return source_files
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