File size: 3,071 Bytes
b8ea116 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 | ---
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).
|