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