Update README.md

README.md

@@ -19,10 +19,29 @@ configs:
   - split: train
     path: data/train-*
 ---
+### Dataset Description
 
-This is a Vietnamese Curated Text Dataset.
+Vietnamese Curated Text Dataset. This dataset is collected from multiple open Vietnamese datasets, and curated with [NeMo Curator](https://github.com/NVIDIA/NeMo-Curator)
 
-This dataset is collected from multiple open Vietnamese datasets, and curated with [NeMo Curator](https://github.com/NVIDIA/NeMo-Curator)
+- **Developed by:** Viettel Solution
+- **Language:** Vietnamese
 
 
-![Proportion of domains in the dataset](https://github.com/HoangNV2001/image-bucket/blob/main/datadist_pie.png)
+
+### Details
+
+#### Data Collection
+We utilize a combination of datasets that contain samples in Vietnamese language, ensuring a robust and representative text corpus. These datasets include: 
+- The Vietnamese subset of the [C4 dataset](https://huggingface.co/datasets/allenai/c4/viewer/vi) .
+- The Vietnamese subset of the [OSCAR dataset, version 23.01](https://huggingface.co/datasets/oscar-corpus/OSCAR-2301/tree/main/vi_meta).
+- [Wikipedia's Vietnamese articles](https://huggingface.co/datasets/wikimedia/wikipedia/viewer/20231101.vi).
+- [Binhvq's Vietnamese news corpus](https://huggingface.co/datasets/jetaudio/binhvq_news).
+
+
+#### Preprocessing
+We use [NeMo Curator](https://github.com/NVIDIA/NeMo-Curator) to curate the collected data. The data curation pipeline includes these key steps:
+1. Unicode Reformatting: Texts are standardized into a consistent Unicode format to avoid encoding issues.
+2. Exact Deduplication: Removes exact duplicates to reduce redundancy.
+3. Quality Filtering:
+4. Heuristic Filtering: Applies rules-based filters to remove low-quality content.
+5. Classifier-Based Filtering: Uses machine learning to classify and filter documents based on quality.