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