Datasets:
| 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](https://github.com/EleutherAI/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. | |