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| language: | |
| - code | |
| tags: | |
| - code | |
| - c++ | |
| - fill-in-the-middle | |
| - fim | |
| - autocomplete | |
| - code-completion | |
| size_categories: | |
| - 10K<n<100K | |
| task_categories: | |
| - text-generation | |
| pretty_name: fim-dataset | |
| # fim-dataset | |
| A Fill-in-the-Middle (FIM) dataset for code autocompletion. | |
| ## Dataset Description | |
| This dataset is designed for training code autocompletion models using the Fill-in-the-Middle (FIM) approach. | |
| The dataset contains code snippets formatted with FIM special tokens: | |
| - `<fim_prefix>`: Code before the completion point | |
| - `<fim_suffix>`: Code after the completion point | |
| - `<fim_middle>`: The code to be completed | |
| ## Dataset Structure | |
| ### Data Fields | |
| - `text`: The formatted FIM instruction containing prefix, suffix, and middle tokens | |
| ### Data Splits | |
| | Split | Examples | | |
| |-------|----------| | |
| | train | 42,922 | | |
| | validation | 2,259 | | |
| ## Usage | |
| ```python | |
| from datasets import load_dataset | |
| # Load the dataset | |
| dataset = load_dataset("KrzTyb/fim-dataset") | |
| # Access train and validation splits | |
| train_data = dataset["train"] | |
| val_data = dataset["validation"] | |
| # Example: Print first training example | |
| print(train_data[0]["text"]) | |
| ``` | |
| ## Training | |
| This dataset can be used to fine-tune code language models for autocompletion: | |
| ```python | |
| from transformers import AutoModelForCausalLM, AutoTokenizer, Trainer | |
| from datasets import load_dataset | |
| # Load model and tokenizer | |
| model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-0.5B") | |
| tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-Coder-0.5B") | |
| # Add FIM tokens | |
| fim_tokens = ["<fim_prefix>", "<fim_suffix>", "<fim_middle>", "<fim_pad>"] | |
| tokenizer.add_special_tokens({"additional_special_tokens": fim_tokens}) | |
| model.resize_token_embeddings(len(tokenizer)) | |
| # Load dataset | |
| dataset = load_dataset("KrzTyb/fim-dataset") | |
| # Train (see full training script for details) | |
| trainer = Trainer( | |
| model=model, | |
| train_dataset=dataset["train"], | |
| eval_dataset=dataset["validation"], | |
| # ... other training arguments | |
| ) | |
| trainer.train() | |
| ``` | |
| ## Citation | |
| If you use this dataset, please cite: | |
| ```bibtex | |
| @dataset{KrzTyb_fim-dataset}, | |
| title={fim-dataset}, | |
| author={Dataset Creator}, | |
| year={2025}, | |
| publisher={Hugging Face}, | |
| howpublished={\url{https://huggingface.co/datasets/KrzTyb/fim-dataset}} | |
| } | |
| ``` | |
| ## License | |
| Please specify the license for your dataset. | |