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--- |
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language: |
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- af |
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- ar |
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- bg |
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- ca |
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- cs |
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- da |
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- de |
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- el |
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- en |
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- es |
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- et |
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- eu |
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- fa |
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- fi |
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- fr |
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- ga |
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- he |
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- hi |
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- hr |
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- hu |
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- hy |
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- id |
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- it |
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- ja |
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- ko |
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- lt |
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- lv |
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- mr |
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- nl |
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- 'no' |
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- pl |
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- pt |
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- ro |
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- ru |
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- sa |
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- sk |
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- sl |
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- sr |
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- sv |
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- ta |
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- te |
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- tr |
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- uk |
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- ur |
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- vi |
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license: mit |
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pretty_name: Multilingual Tokenizer Wikipedia Benchmark |
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download_size: 2646807342 |
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|
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|
download_size: 6540517932 |
|
dataset_size: 15602937556.689285 |
|
configs: |
|
- config_name: af |
|
data_files: |
|
- split: train |
|
path: af/train-* |
|
- split: clean |
|
path: af/clean-* |
|
- config_name: ar |
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data_files: |
|
- split: train |
|
path: ar/train-* |
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- split: clean |
|
path: ar/clean-* |
|
- config_name: bg |
|
data_files: |
|
- split: train |
|
path: bg/train-* |
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- split: clean |
|
path: bg/clean-* |
|
- config_name: ca |
|
data_files: |
|
- split: train |
|
path: ca/train-* |
|
- split: clean |
|
path: ca/clean-* |
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- config_name: cs |
|
data_files: |
|
- split: train |
|
path: cs/train-* |
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- split: clean |
|
path: cs/clean-* |
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- config_name: da |
|
data_files: |
|
- split: train |
|
path: da/train-* |
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- split: clean |
|
path: da/clean-* |
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- config_name: de |
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data_files: |
|
- split: train |
|
path: de/train-* |
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- split: clean |
|
path: de/clean-* |
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- config_name: el |
|
data_files: |
|
- split: train |
|
path: el/train-* |
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- split: clean |
|
path: el/clean-* |
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- config_name: en |
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data_files: |
|
- split: train |
|
path: en/train-* |
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- split: clean |
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path: en/clean-* |
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- config_name: es |
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data_files: |
|
- split: train |
|
path: es/train-* |
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- split: clean |
|
path: es/clean-* |
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- config_name: et |
|
data_files: |
|
- split: train |
|
path: et/train-* |
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- split: clean |
|
path: et/clean-* |
|
- config_name: eu |
|
data_files: |
|
- split: train |
|
path: eu/train-* |
|
- split: clean |
|
path: eu/clean-* |
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- config_name: fa |
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data_files: |
|
- split: train |
|
path: fa/train-* |
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- split: clean |
|
path: fa/clean-* |
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- config_name: fi |
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data_files: |
|
- split: train |
|
path: fi/train-* |
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- split: clean |
|
path: fi/clean-* |
|
- config_name: fr |
|
data_files: |
|
- split: train |
|
path: fr/train-* |
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- split: clean |
|
path: fr/clean-* |
|
- config_name: ga |
|
data_files: |
|
- split: train |
|
path: ga/train-* |
|
- split: clean |
|
path: ga/clean-* |
|
- config_name: he |
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data_files: |
|
- split: train |
|
path: he/train-* |
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- split: clean |
|
path: he/clean-* |
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- config_name: hi |
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data_files: |
|
- split: train |
|
path: hi/train-* |
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- split: clean |
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path: hi/clean-* |
|
- config_name: hr |
|
data_files: |
|
- split: train |
|
path: hr/train-* |
|
- split: clean |
|
path: hr/clean-* |
|
- config_name: hu |
|
data_files: |
|
- split: train |
|
path: hu/train-* |
|
- split: clean |
|
path: hu/clean-* |
|
- config_name: hy |
|
data_files: |
|
- split: train |
|
path: hy/train-* |
|
- split: clean |
|
path: hy/clean-* |
|
- config_name: id |
|
data_files: |
|
- split: train |
|
path: id/train-* |
|
- split: clean |
|
path: id/clean-* |
|
- config_name: it |
|
data_files: |
|
- split: train |
|
path: it/train-* |
|
- split: clean |
|
path: it/clean-* |
|
- config_name: ja |
|
data_files: |
|
- split: train |
|
path: ja/train-* |
|
- split: clean |
|
path: ja/clean-* |
|
- config_name: ko |
|
data_files: |
|
- split: train |
|
path: ko/train-* |
|
- split: clean |
|
path: ko/clean-* |
|
- config_name: lt |
|
data_files: |
|
- split: train |
|
path: lt/train-* |
|
- split: clean |
|
path: lt/clean-* |
|
- config_name: lv |
|
data_files: |
|
- split: train |
|
path: lv/train-* |
|
- split: clean |
|
path: lv/clean-* |
|
- config_name: mr |
|
data_files: |
|
- split: train |
|
path: mr/train-* |
|
- split: clean |
|
path: mr/clean-* |
|
- config_name: nl |
|
data_files: |
|
- split: train |
|
path: nl/train-* |
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- split: clean |
|
path: nl/clean-* |
|
- config_name: 'no' |
|
data_files: |
|
- split: train |
|
path: no/train-* |
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- split: clean |
|
path: no/clean-* |
|
- config_name: pl |
|
data_files: |
|
- split: train |
|
path: pl/train-* |
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- split: clean |
|
path: pl/clean-* |
|
- config_name: pt |
|
data_files: |
|
- split: train |
|
path: pt/train-* |
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- split: clean |
|
path: pt/clean-* |
|
- config_name: ro |
|
data_files: |
|
- split: train |
|
path: ro/train-* |
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- split: clean |
|
path: ro/clean-* |
|
- config_name: ru |
|
data_files: |
|
- split: train |
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path: ru/train-* |
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- split: clean |
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path: ru/clean-* |
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- config_name: sa |
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data_files: |
|
- split: train |
|
path: sa/train-* |
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- split: clean |
|
path: sa/clean-* |
|
- config_name: sk |
|
data_files: |
|
- split: train |
|
path: sk/train-* |
|
- split: clean |
|
path: sk/clean-* |
|
- config_name: sl |
|
data_files: |
|
- split: train |
|
path: sl/train-* |
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- split: clean |
|
path: sl/clean-* |
|
- config_name: sr |
|
data_files: |
|
- split: train |
|
path: sr/train-* |
|
- split: clean |
|
path: sr/clean-* |
|
- config_name: sv |
|
data_files: |
|
- split: train |
|
path: sv/train-* |
|
- split: clean |
|
path: sv/clean-* |
|
- config_name: ta |
|
data_files: |
|
- split: train |
|
path: ta/train-* |
|
- split: clean |
|
path: ta/clean-* |
|
- config_name: te |
|
data_files: |
|
- split: train |
|
path: te/train-* |
|
- split: clean |
|
path: te/clean-* |
|
- config_name: tr |
|
data_files: |
|
- split: train |
|
path: tr/train-* |
|
- split: clean |
|
path: tr/clean-* |
|
- config_name: uk |
|
data_files: |
|
- split: train |
|
path: uk/train-* |
|
- split: clean |
|
path: uk/clean-* |
|
- config_name: ur |
|
data_files: |
|
- split: train |
|
path: ur/train-* |
|
- split: clean |
|
path: ur/clean-* |
|
- config_name: vi |
|
data_files: |
|
- split: train |
|
path: vi/train-* |
|
- split: clean |
|
path: vi/clean-* |
|
- config_name: zh |
|
data_files: |
|
- split: train |
|
path: zh/train-* |
|
- split: clean |
|
path: zh/clean-* |
|
--- |
|
|
|
# Multilingual Tokenizer Benchmark |
|
|
|
This dataset includes pre-processed wikipedia data for tokenizer evaluation in [45 languages](https://huggingface.co/datasets/occiglot/tokenizer-wiki-bench/blob/main/README.md#supported-languages). We provide more information on the evaluation task in general [this blogpost](https://occiglot.github.io/occiglot/posts/eu_tokenizer_perfomance/). |
|
|
|
## Usage |
|
The dataset allows us to easily calculate *tokenizer fertility* and the *proportion of continued words* on any of the supported languages. In the example below we take the Mistral tokenizer and evaluate its performance on Slovak. |
|
|
|
```python |
|
from transformers import AutoTokenizer |
|
from datasets import load_dataset |
|
import numpy as np |
|
|
|
def calculate_metrics(tokens): |
|
tmp = np.array([len(y) for y in tokens]) |
|
return {'fertility': np.mean(tmp), 'cont_prop': np.count_nonzero(tmp > 1) / tmp.shape[0]} |
|
|
|
tokenizer_name = 'mistralai/Mistral-7B-v0.1' |
|
language = 'sk' #Slovak |
|
tokenizer = AutoTokenizer.from_pretrained(tokenizer_name) |
|
ds = load_dataset('occiglot/tokenizer-wiki-bench', name=language, split='clean') |
|
|
|
remove_columns = list(set(ds.column_names) - set(["text"])) |
|
ds = ds.map(lambda x: {'tokens': tokenizer(x['split_text'], add_special_tokens=False)['input_ids']} ,num_proc=256, remove_columns=remove_columns, batched=False) |
|
remove_columns = None#list(set(ds.column_names)) |
|
ds = ds.map(lambda x: calculate_metrics(x['tokens']), num_proc=256, remove_columns=remove_columns, batched=False) |
|
df = ds.to_pandas() |
|
|
|
print('Fertility: ', df.fertility.mean()) |
|
print('Prop. continued words:', df.cont_prop.mean()) |
|
``` |
|
|
|
## Dataset Creation |
|
|
|
We loosely follow the approach of [Rust _et al.](https://arxiv.org/abs/2012.15613) using the fast [UDPipe](https://ufal.mff.cuni.cz/udpipe) to pre-split documents into words and subsequently run the tokenizer over isolated words. For all languages we use the respective November 2023 snapshot from [Wikipedia](wikimedia/wikipedia). Since Wikipedia, by nature, contains significantly more numbers and dates than other text and most tokenizers split those into single digits, we filtered all lone-standing numbers from the documents. Additionally, we removed any documents that still contained non-parsed HTML code (less than 1%). |
|
|
|
## Licensing |
|
|
|
We release our curated benchmark and any associated code under [MIT](https://opensource.org/license/mit) license. However, depending on your use case, the licensing conditions of the original [Wikipedia data](https://huggingface.co/datasets/wikimedia/wikipedia#licensing-information) and [UDPipe](https://github.com/ufal/udpipe/tree/udpipe-2?tab=License-1-ov-file) may apply. |
|
|
|
## Supported Languages |
|
This dataset currently contains pre-processed data for the following languages: |
|
|
|
| Language | Code | |
|
|:-----------|:-------| |
|
| Afrikaans | af | |
|
| Arabic | ar | |
|
| Armenian | hy | |
|
| Basque | eu | |
|
| Bulgarian | bg | |
|
| Catalan | ca | |
|
| Croatian | hr | |
|
| Czech | cs | |
|
| Danish | da | |
|
| Dutch | nl | |
|
| English | en | |
|
| Estonian | et | |
|
| Finnish | fi | |
|
| French | fr | |
|
| German | de | |
|
| Greek | el | |
|
| Hebrew | he | |
|
| Hindi | hi | |
|
| Hungarian | hu | |
|
| Indonesian | id | |
|
| Irish | ga | |
|
| Italian | it | |
|
| Japanese | ja | |
|
| Korean | ko | |
|
| Latvian | lv | |
|
| Lithuanian | lt | |
|
| Marathi | mr | |
|
| Norwegian | no | |
|
| Persian | fa | |
|
| Polish | pl | |
|
| Portuguese | pt | |
|
| Romanian | ro | |
|
| Russian | ru | |
|
| Sanskrit | sa | |
|
| Serbian | sr | |
|
| Slovak | sk | |
|
| Slovenian | sl | |
|
| Spanish | es | |
|
| Swedish | sv | |
|
| Tamil | ta | |
|
| Telugu | te | |
|
| Turkish | tr | |
|
| Ukrainian | uk | |
|
| Urdu | ur | |
|
| Vietnamese | vi | |
