README.md

metadata

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

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).