| --- |
| task_categories: |
| - text-classification |
| --- |
| |
| # INTENT-ES Dataset |
|
|
| This dataset contains Spanish language texts labeled with: |
|
|
| 1. Intent classification (13 classes): |
| - 0: Threat |
| - 1: Criticism |
| - 2: Desire |
| - 3: Praise |
| - 4: Emotional |
| - 5: Informative |
| - 6: Command |
| - 7: Personal Opinion |
| - 8: Request |
| - 9: Question |
| - 10: Promise |
| - 11: Sarcasm/Joke |
| - 12: Suggestion |
|
|
|
|
| 2. Sentiment analysis (3 classes): |
| - 0: NEG |
| - 1: NEU |
| - 2: POS |
|
|
|
|
| 3. Emotion detection (7 classes): |
| - 0: others |
| - 1: joy |
| - 2: sadness |
| - 3: anger |
| - 4: surprise |
| - 5: disgust |
| - 6: fear |
|
|
|
|
| Each entry in the dataset includes the original text, the intent label and its text description, |
| the sentiment and emotion labels (both as numeric IDs and as text), and confidence scores for sentiment and emotion classification. |
|
|
| ## Label Distributions |
|
|
| The dataset has 6493 training examples and 1620 test examples. |
