---
language:
- en
- tr
task_categories:
- translation
pretty_name: Tokenized English-Turkish Translation Corpus
configs:
- config_name: default
  default: true
  data_files:
  - split: train
    path: "data/train-*.parquet"
---

# Tokenized English-Turkish Translation Corpus

Format-augmented and tokenized subset of `Ba2han/finetranslations-TR_filtered`, built with
`Ba2han/outputs`.

## Token amounts

| Metric | Amount |
|---|---:|
| Target tokens | 500,000,000 |
| Actual tokens | 500,000,186 |
| Full-example overshoot | 186 |
| Output rows | 343,740 |
| Average tokens/row | 1,454.59 |
| Minimum tokens/row | 441 |
| Maximum tokens/row | 5,472 |
| Source rows scanned | 204,362 |
| Source rows passing filters | 42,976 |
| Parquet shards | 4 |
| Build time | 0.10 hours |

The script stops after the first complete example that reaches the target, so
no example is cut merely to make the total exactly 500,000,000 tokens.

## Filters

```python
total_token_count > 800
og_quality_score > 0.05
```

`translated_text` is formatted as English and `og_full_text` as Turkish, as
specified for this build.

## Output columns

- `input_ids`: token IDs from `Ba2han/outputs`
- `num_tokens`: length of `input_ids`
- `augmentation_id`: formatting variant from 0 through 7

Tokenization uses `add_special_tokens=True`, with no padding and no truncation.
An attention mask is not stored because every saved sequence is unpadded.

```json
{
  "bos_token": "<bos>",
  "bos_token_id": 2,
  "eos_token": "<eos>",
  "eos_token_id": 3,
  "pad_token": "<pad>",
  "pad_token_id": 0
}
```

## Tokens by augmentation

| ID | Template | Rows | Tokens | Average | Min | Max |
|---:|---|---:|---:|---:|---:|---:|
| 0 | `English: ...\nTurkish: ...` | 42,965 | 62,451,999 | 1,453.56 | 442 | 5,469 |
| 1 | `Türkçe: ...\n\nEnglish: ...` | 42,973 | 62,460,327 | 1,453.48 | 442 | 5,469 |
| 2 | `English:\n...\n\nTürkçe:\n...` | 42,966 | 62,419,132 | 1,452.76 | 441 | 5,468 |
| 3 | `Turkish:\n...\n\nEnglish:\n...` | 42,966 | 62,454,483 | 1,453.58 | 442 | 5,469 |
| 4 | `[English]\n...\n\n[Turkish]\n...` | 42,966 | 62,556,486 | 1,455.95 | 444 | 5,471 |
| 5 | `[Türkçe]\n...\n\n[English]\n...` | 42,969 | 62,528,589 | 1,455.20 | 443 | 5,470 |
| 6 | `English text:\n...\n\nTurkish text:\n...` | 42,970 | 62,573,215 | 1,456.21 | 445 | 5,472 |
| 7 | `Türkçe metin:\n...\n\nİngilizce metin:\n...` | 42,965 | 62,555,955 | 1,455.97 | 444 | 5,471 |

## Tokens by shard

| Shard | File | Rows | Tokens | Compressed size |
|---:|---|---:|---:|---:|
| 0 | `train-00000-of-00004.parquet` | 100,000 | 145,603,263 | 61.85 MiB |
| 1 | `train-00001-of-00004.parquet` | 100,000 | 145,557,942 | 61.85 MiB |
| 2 | `train-00002-of-00004.parquet` | 100,000 | 144,621,306 | 61.32 MiB |
| 3 | `train-00003-of-00004.parquet` | 43,740 | 64,217,675 | 27.32 MiB |

## Load

```python
from datasets import load_dataset

ds = load_dataset("Ba2han/tokenized_translation", split="train")
```