Update README.md

README.md

@@ -38,6 +38,64 @@ tags:
 - babyLM
 ---
 
-# Description
+# [DATASET_NAME]: 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 ()
+- **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.
 
-This dataset includes 19 languages from the CHILDES corpus. Each training sample contains a clean 500 word instance from a give language.