| --- |
| license: other |
| language: |
| - en |
| tags: |
| - perplexity |
| - evaluation |
| - news |
| - time-isolated |
| configs: |
| - config_name: default |
| data_files: |
| - split: "00" |
| path: "data/00.parquet" |
| - split: "01" |
| path: "data/01.parquet" |
| - split: "02" |
| path: "data/02.parquet" |
| - split: "03" |
| path: "data/03.parquet" |
| - split: "04" |
| path: "data/04.parquet" |
| - split: "05" |
| path: "data/05.parquet" |
| - split: "06" |
| path: "data/06.parquet" |
| - split: "07" |
| path: "data/07.parquet" |
| - split: "08" |
| path: "data/08.parquet" |
| - split: "09" |
| path: "data/09.parquet" |
| - split: "10" |
| path: "data/10.parquet" |
| - split: "11" |
| path: "data/11.parquet" |
| - split: "12" |
| path: "data/12.parquet" |
| - split: "13" |
| path: "data/13.parquet" |
| - split: "14" |
| path: "data/14.parquet" |
| - split: "15" |
| path: "data/15.parquet" |
| - split: "16" |
| path: "data/16.parquet" |
| - split: "17" |
| path: "data/17.parquet" |
| - split: "18" |
| path: "data/18.parquet" |
| - split: "19" |
| path: "data/19.parquet" |
| - split: "20" |
| path: "data/20.parquet" |
| - split: "21" |
| path: "data/21.parquet" |
| - split: "22" |
| path: "data/22.parquet" |
| - split: "23" |
| path: "data/23.parquet" |
| - split: "24" |
| path: "data/24.parquet" |
| - split: "25" |
| path: "data/25.parquet" |
| --- |
| |
| # TheFinAI/ppl — Per-Year News Corpus for Perplexity Evaluation |
|
|
| A held-out news corpus for evaluating per-year perplexity of time-isolated |
| language models (TILE / MoE per-year experts). |
|
|
| ## Structure |
|
|
| - One split per year, named `00` (= 2000) through `25` (= 2025). |
| - Each split contains ~2000 news articles sampled month-stratified |
| (~167/month) from The Guardian Open Platform. |
| - Sections kept: world, us-news, uk-news, business, politics, technology, |
| science, environment, society, education, media, law, etc. |
| (Sport, lifestyle, food, fashion, film, books, travel, games dropped.) |
| - All articles passed `token_count >= 50` (cl100k_base) filter. |
| |
| ## Schema |
| |
| | column | dtype | note | |
| |---------------|--------|---------------------------------------| |
| | `source` | str | constant `"guardian"` | |
| | `date` | int32 | year, e.g. `2003` | |
| | `pub_date` | str | publication date `YYYY-MM-DD` | |
| | `section` | str | guardian sectionId | |
| | `headline` | str | webTitle | |
| | `url` | str | webUrl | |
| | `text` | str | full article body (`bodyText`) | |
| | `token_count` | int32 | tiktoken `cl100k_base` token count | |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("TheFinAI/ppl", split="03") # year 2003 |
| ``` |
|
|
| ## Notes |
|
|
| - Cross-year fairness: all years drawn from the same source pipeline, same |
| section filter, same length filter, same tokenizer. PPL comparisons |
| across years should not be biased by corpus shift. |
| - Single-source: only Guardian. For multi-outlet eval, supplement with NYT |
| metadata (`TheFinAI/ppl_nyt` if/when added). |
|
|
