# Attribution & Data Sources This corpus synthesizes Nepali text from multiple public and research sources. Proper attribution is critical for ethical research. ## Primary Sources ### 1. IRIISNEPAL - **Full Name:** IIIiSNepal - Itihasa, Kalakaram, Sthanadarshan, Shikshhya, Nepali Text Dataset - **Repository:** https://github.com/bnltm/IIIiSNepal - **Description:** A large-scale curated dataset of Nepali articles covering historical, cultural, educational, and geographical topics. - **License:** MIT - **Citation:** ``` Yadav, Kanchan, et al. "IIIiSNepal: Large-Scale Annotated Nepali Text Dataset." Proceedings of the 2nd Workshop on NLP for Under-resourced Languages, 2020. ``` - **Rows in Corpus:** 6,087,439 - **Applies to:** `nepali-formal-corpus`, `nepali-text-corpus` ### 2. Nepali Wikipedia - **Source:** Nepali Wikipedia Dump (latest as of corpus creation) - **URL:** https://dumps.wikimedia.org/newiki/ - **Description:** Extracted sentences from Nepali Wikipedia articles across all topics and domains. - **License:** CC BY-SA 4.0 - **Rows in Corpus:** 291,767 - **Applies to:** `nepali-formal-corpus`, `nepali-text-corpus` ### 3. Nepali News Source Crawls - **Outlets Covered:** - Kantipur News (https://www.kantipuronline.com/) - Setopati (https://www.setopati.com/) - Nepal Khabar (https://www.nepalkhabar.com/) - Nagarik (https://www.nagariknews.com/) - Himalayan Times (archived articles) - Other regional outlets - **Description:** Dynamically crawled from public-facing news websites. - **License:** Source-dependent (per publisher terms of service) - **Rows in Corpus:** 87,250 - **Applies to:** `nepali-formal-corpus`, `nepali-text-corpus` ### 4. YouTube Comments (Public) - **Source:** YouTube Data API v3 (public comment threads) - **Description:** Colloquial, conversational Nepali as used in social discussions, reviews, and community comments. - **License:** CC BY 4.0 (standard YouTube comment license) - **Rows in Corpus:** 431,648 - **Applies to:** `nepali-colloquial-corpus`, `roman-nepali-corpus`, `nepali-text-corpus` ## Contributor Acknowledgments - **IRIISNEPAL Curators:** Kanchan Yadav, Sharad Khatiwada, and the broader NLP community contributors - **Wikipedia Contributors:** Nepali Wikipedia editor community - **News Publishers:** Journalists and editorial teams at Nepali news outlets - **YouTube Commenters:** Anonymous community members sharing public discourse ## Data Cleaning & Processing All source data underwent standardization and validation: - Text normalization (whitespace, special characters) - Duplicate removal at the corpus level - Malformed record filtering - Length-based quality thresholds (minimum 5 words for formal text) - Script detection and classification (Devanagari, Latin, mixed) See [DATA_PROCESSING.md](DATA_PROCESSING.md) for technical details. ## Responsible Use - **Academic Research:** Encouraged under fair-use principles - **Commercial Products:** Requires license-aware filtering and potential publisher permissions - **Media Attribution:** When publishing results, recommend citing source origins - **Ethical Concerns:** This corpus includes conversational YouTube content with occasional vulgar or offensive language; filter rows before public-facing applications ## Questions or Corrections? For attribution corrections or to report improper use, contact the dataset maintainers through the Hugging Face dataset page. --- **Compiled:** April 2, 2026 **Corpus Version:** 1.0