Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
sentiment-analysis
Languages:
Nepali
Size:
10K - 100K
License:
| language: | |
| - ne | |
| pretty_name: Nepali Sentiment Dataset | |
| tags: | |
| - sentiment-analysis | |
| - text-classification | |
| - nepali | |
| license: mit | |
| task_categories: | |
| - text-classification | |
| task_ids: | |
| - sentiment-analysis | |
| dataset_info: | |
| features: | |
| - name: text | |
| dtype: string | |
| - name: label | |
| dtype: | |
| class_label: | |
| names: | |
| - Negative | |
| - Neutral | |
| - Positive | |
| size_categories: | |
| - 10K<n<100K | |
| # Nepali Sentiment Dataset (Devanagari) | |
| ## Dataset Summary | |
| This dataset contains Nepali sentences in Devanagari script labeled with sentiment classes: **Negative**, **Neutral**, and **Positive**. | |
| ## Supported Tasks | |
| - Sentiment analysis / text classification | |
| ## Languages | |
| - Nepali (`ne`) — Devanagari script | |
| ## Dataset Structure | |
| ### Data Instances | |
| Each example contains: | |
| - `text`: Nepali sentence (string) | |
| - `label`: one of {negative, neutral, positive} | |
| Example: | |
| ```json | |
| {"text":"यो फिल्म एकदम राम्रो लाग्यो", "label":"positive"} |