README.md

metadata

license: cc-by-sa-4.0
task_categories:
  - text-generation
language:
  - en
pretty_name: Bergson wikitext 512-token chunks
size_categories:
  - 1K<n<10K

bergson-wikitext-512-chunks

Wikitext-2 (Salesforce/wikitext, wikitext-2-raw-v1) pre-chunked into 512-GPT-2-token rows for training-data-attribution experiments with bergson, replicating the data setup of the MAGIC paper (Ilyas & Engstrom 2025, arXiv:2504.16430): each row is one attribution unit / query.

• train: first 4,608 chunks of the concatenated, GPT-2-tokenized wikitext-2 train split (empty rows dropped before concatenation).
• test: first 256 chunks of the wikitext-2 test split, same procedure.

Each row's text field decodes/re-tokenizes to exactly 512 GPT-2 tokens. Built by scripts/build_chunked_wikitext.py in the bergson repo.