Datasets:

---

gaia-benchmark

/

GAIA

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GAIA 446

Summary

•	Switched GAIA to Parquet-based splits because code-based loaders are deprecated in datasets 4.x.
•	Kept attachments (PDF/PNG/CSV/…) as files on disk.
•	Kept a single file_path (or file_name) column; mixed file types can’t be auto-decoded from one column, so users still open files manually.

Layout

2023/
  validation/
    metadata.parquet
    <attachments...>
  test/
    metadata.parquet
    <attachments...>

Loading

from datasets import load_dataset

ds = load_dataset("gaia-benchmark/GAIA", "2023_level1", split="test")
for ex in ds:
    path = ex.get("file_path") or ex.get("file_name")
    # open path as needed (local or via hf_hub_download)

Notes

•	Existing configs retained: 2023_all, 2023_level1, 2023_level2, 2023_level3.
•	If we ever want auto-decoding, we can add optional typed columns (image/audio/pdf) alongside file_path.