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---
language:
- en
size_categories:
- 100K<n<1M
---
# Complete-it
## Dataset Summary
The **Complete-it** dataset is designed for training and evaluating **text auto-completion models**. It provides structured prompt–completion pairs that can be used to fine-tune language models for predictive typing, code completion, or general text continuation tasks.
This dataset is intended for researchers, developers, and practitioners who want to explore completion-based modeling in natural language processing.
---
## Supported Tasks and Benchmarks
- **Text Auto-Completion**: Predicting the next sequence of tokens given a partial input.
- **Language Modeling**: Training models to generate coherent continuations of text.
- **Instruction Tuning (optional)**: Can be adapted for instruction–response style fine-tuning if reformatted.
---
## Languages
- The dataset is primarily in **English**.
- It can be extended or adapted for multilingual completion tasks.
---
## Dataset Structure
- **Input**: A partial text sequence (prompt).
- **Output**: The expected continuation (completion).
Example:
```json
{
"prompt": "The quick brown fox",
"completion": " jumps over the lazy dog."
}
```
---
## Data Splits
- **train**: Main split for model training.
- **validation**: For hyperparameter tuning and evaluation.
- **test**: For final benchmarking.
*(Adjust based on your actual splits — if you only have one file, note that here.)*
---
## Usage
You can load the dataset directly with the Hugging Face `datasets` library:
```python
from datasets import load_dataset
dataset = load_dataset("Parveshiiii/Complete-it")
```
---
## Intended Use
- Research on auto-completion and predictive text.
- Fine-tuning small to medium language models for lightweight completion tasks.
- Educational purposes in demonstrating dataset formatting for completion models.
---
## Limitations
- The dataset may not cover all domains or writing styles.
- Quality of completions depends on the diversity of the source material.
- Not intended for safety-critical applications without further filtering and evaluation.
---
## Citation
If you use this dataset, please cite it as:
```
@dataset{Parveshiiii_Complete-it,
title = {Complete-it},
author = {Parvesh Rawal},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/Parveshiiii/Complete-it}
}
```
---
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