---
language: tr
license: apache-2.0
tags:
  - tokenizer
  - bpe
  - turkish
  - xnli
  - nlp-research
datasets:
  - facebook/xnli
---

# NIRVLab — BPE Tokenizer for Turkish XNLI

A **Byte-Pair Encoding (BPE)** tokenizer trained from scratch on the Turkish (`tr`) subset
of the [facebook/xnli](https://huggingface.co/datasets/facebook/xnli) dataset.

## Training Details

| Parameter | Value |
|---|---|
| Algorithm | BPE (ByteLevel) |
| Vocabulary size | 8,000 |
| Min frequency | 2 |
| Special tokens | `<s>, <pad>, </s>, <unk>, <mask>` |
| Corpus | `facebook/xnli` / `tr` — all splits |
| Corpus size | 800,404 sentences |
| Normalizer | NFC Unicode |
| Pre-tokenizer | ByteLevel |

## Evaluation Metrics

| Metric | Value |
|---|---|
| Tokens / char | `0.2581` |
| Fertility (tokens / word) | `1.9330` |
| Avg sequence length | `20.15` tokens |
| Vocabulary coverage | `1.0000` |

## Usage

```python
from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("NIRVLab/xnli-bpe-tr")
tokens = tokenizer("Merhaba dünya!", return_tensors="pt")
```