ft: add dataset card

README.md

@@ -0,0 +1,57 @@
+---
+license: mit
+task_categories:
+- question-answering
+language:
+- en
+tags:
+- sunbird
+- sunbirdai
+pretty_name: Sunbird Salt Documentation
+size_categories:
+- n<1K
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: chunks/*.json
+---
+
+# COCIS WEB INFO
+
+## Dataset Summary
+This dataset contains text chucks scraped from its official website and corresponding websites. 
+The dataset consists of **JSON chunks**, designed for high-performance streaming and parallel processing. Each chunk represents a discrete unit of data structured for machine learning tasks. 
+
+By sharding the data into chuck files, this repository supports the `datasets` library's streaming mode, allowing users to train models without downloading the entire dataset into RAM—a critical feature for resource-constrained environments or high-concurrency CI/CD pipelines.
+
+## Repository Structure
+The data is organized into a `chunks/` directory to maintain a clean root level:
+
+```text
+.
+├── README.md          # This file
+└── chunks/            # Directory containing JSON files
+    ├── chunk_1.json
+    ├── chunk_2.json
+    └── ...
+```
+
+## Usage
+
+You can load this dataset directly using the Hugging Face datasets library:
+
+```python
+from datasets import load_dataset
+
+# Standard loading
+dataset = load_dataset("jimjunior/sunbird_salt_docs")
+
+# Streaming mode (Recommended for many shards)
+streamed_dataset = load_dataset("jimjunior/sunbird_salt_docs", streaming=True)
+print(next(iter(streamed_dataset["train"])))
+```
+
+## Maintenance and Contributions
+
+This dataset was created as part of the Sunbird AI Internship 2026. Its actively mantained by [Beingana Jim Junior](https://www.linkedin.com/in/jim-junior-beingana/).