Update README.md

README.md

@@ -13,4 +13,39 @@ task_categories:
 pretty_name: Nepal Border Sentiment Dataset
 size_categories:
 - 1K<n<10K
----
+---
+
+# Nepal Border Sentiment Dataset
+
+YouTube comments scraped from 17 Nepali news and commentary channels covering the 2026 Nepal–India border dispute, including the Prime Minister's parliamentary remarks. The dataset is labeled for 3-class sentiment (positive / neutral / negative).
+
+## Files
+
+- **`nepal_border_comments.csv`** — Raw scraped comments with channel and video URL
+- **`nepal_comments_labelled.csv`** — Translated and auto-labeled (silver standard) using `cardiffnlp/twitter-xlm-roberta-base-sentiment`
+- **`comments_manual_review.csv`** — 300 manually verified samples (gold standard, 100 per class)
+
+## Statistics
+
+- ~2100 unique comments (after deduplication)
+- Languages: Nepali (Devanagari), Romanized Nepali, English, code-switched
+- 300 manually verified gold-standard labels
+- ~1800 silver-standard (auto-labeled) samples
+
+## How it was built
+
+1. Scraped via `youtube-comment-downloader` (no API key required)
+2. Translated to English using Google Translate via `deep-translator`
+3. Auto-labeled with multilingual XLM-RoBERTa sentiment model
+4. 300 samples manually verified for the gold-standard split
+
+## Limitations
+
+- Single annotator for gold-standard labels (no inter-annotator agreement score)
+- Translation quality varies for Nepali slang and idioms
+- Class imbalance in auto-labels skewed toward negative sentiment
+- Sample focused on a specific political event — may not generalize broadly
+
+## Use & Citation
+
+Published as a baseline for low-resource Nepali political sentiment NLP. Contributions welcome — see the [GitHub repo](https://github.com/samirasharma/nepal-border-sentiment) for the full pipeline.