--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 198328228 num_examples: 76529 download_size: 103113616 dataset_size: 198328228 configs: - config_name: default data_files: - split: train path: data/train-* license: mit task_categories: - text-generation language: - en - eu - es - pt - sv - he - af - it - fr - de - ca tags: - language - acquisition - child - childes - linguistics - babyLM --- # multiCHILDES: Multilingual Child-Directed Speech Dataset ## Dataset Description This dataset contains child-directed speech from **19 languages**, extracted from the **CHILDES** corpus. The text has been **cleaned** and is designed for **text generation** tasks, particularly in studying early language acquisition. ## Dataset Details - **Source:** CHILDES corpus - **Languages:** 19 languages - **Text Type:** Child-directed speech - **Task:** Text Generation, Language Modeling - **Data Processing:** The dataset has been cleaned to remove inconsistencies and noise. ## Intended Use This dataset is suitable for: - Training and evaluating **language models** for early language acquisition - Studying cross-linguistic differences in child-directed speech - Supporting research in **psycholinguistics** and **computational linguistics** ## Usage To load the dataset using `datasets` from Hugging Face: ```python from datasets import load_dataset dataset = load_dataset("IParraMartin/multiCHILDES") print(dataset["train"][0]) ``` ## Data Statistics - **Total Samples:** 76529 - **Average Utterance Length:** 500 ## Data Collection and Preprocessing - **Source:** Extracted from CHILDES (MacWhinney, 1998) - **Preprocessing Steps:** - Removed extraneous annotations - Normalized text - Filtered out noisy data ## Limitations & Biases - The dataset is limited to **child-directed speech**, making it unsuitable for general-purpose NLP tasks. - The representation of languages depends on **CHILDES availability** and **data quantity**, which may introduce selection bias. - Possible transcription errors or inconsistencies from the original sources. ## Citation If you use this dataset, please cite: ```bibtex @article{macwhinney1998childes, title={The CHILDES system}, author={MacWhinney, Brian}, journal={Handbook of child language acquisition}, pages={457--494}, year={1998}, publisher={Brill} } ``` ## Acknowledgments Special thanks to the **CHILDES project** for providing high-quality child language data and to the **Hugging Face community** for enabling open dataset sharing.