LICENSE

Language Translation Dataset
Copyright © 2016 RSK World. All rights reserved.

Author: RSK World
Website: https://rskworld.in
Email: help@rskworld.in
Phone: +91 93305 39277

Permission is hereby granted, free of charge, to any person obtaining a copy
of this dataset and associated documentation files (the "Dataset"), to use,
copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
the Dataset, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Dataset.

THE DATASET IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE DATASET OR THE USE OR OTHER DEALINGS IN THE
DATASET.

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SETUP.md

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SETUP.md

# Setup Guide - Language Translation Dataset



## Quick Start

### 1. Install Dependencies

```bash
pip install -r requirements.txt
```

### 2. Verify Dataset Files

The dataset files should be located in the `data/` directory:

- `data/train.tsv` - Training dataset (TSV format)
- `data/train.json` - Training dataset (JSON format)
- `data/validation.tsv` - Validation dataset (TSV format)
- `data/validation.json` - Validation dataset (JSON format)
- `data/sample_data.json` - Sample data for preview

### 3. Process the Dataset

Run the data processing script:

```bash
python scripts/process_data.py
```

### 4. Analyze the Dataset

Get detailed statistics:

```bash
python scripts/analyze_dataset.py
```

### 5. Convert Formats

Convert between TSV and JSON:

```bash
# TSV to JSON
python scripts/convert_format.py --input data/train.tsv --output data/train.json

# JSON to TSV
python scripts/convert_format.py --input data/train.json --output data/train.tsv
```

### 6. Run Examples

See example usage:

```bash
python examples/example_usage.py
```

## Using with Transformers

### Load with mBERT

```python
from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("bert-base-multilingual-cased")
model = AutoModel.from_pretrained("bert-base-multilingual-cased")
```

### Load with mT5

```python
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("google/mt5-small")
model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-small")
```

## Project Structure

```
language-translation/
├── data/
│ ├── train.tsv
│ ├── train.json
│ ├── validation.tsv
│ ├── validation.json
│ ├── sample_data.json
│ └── METADATA.txt
├── scripts/
│ ├── process_data.py
│ ├── convert_format.py
│ └── analyze_dataset.py
├── examples/
│ └── example_usage.py
├── index.html
├── README.md
├── SETUP.md
├── requirements.txt
├── config.py
└── LICENSE
```

## Support

For questions or support, please contact:

- **Website**: https://rskworld.in
- **Email**: help@rskworld.in
- **Phone**: +91 93305 39277

---

**Created by RSK World** - Free Programming Resources & Source Code

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SETUP.md