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README.md

@@ -1,58 +1,66 @@
 ---
-dataset_info:
-  features:
-  - name: text
-    dtype: string
-  - name: label_text
-    dtype: string
-  - name: label
-    dtype: int64
-  - name: sentiment_text
-    dtype: string
-  - name: sentiment
-    dtype: int64
-  - name: emotion_text
-    dtype: string
-  - name: emotion
-    dtype: int64
-  - name: sentiment_scores
-    struct:
-    - name: NEG
-      dtype: float64
-    - name: NEU
-      dtype: float64
-    - name: POS
-      dtype: float64
-  - name: emotion_scores
-    struct:
-    - name: anger
-      dtype: float64
-    - name: disgust
-      dtype: float64
-    - name: fear
-      dtype: float64
-    - name: joy
-      dtype: float64
-    - name: others
-      dtype: float64
-    - name: sadness
-      dtype: float64
-    - name: surprise
-      dtype: float64
-  splits:
-  - name: train
-    num_bytes: 1835903
-    num_examples: 6493
-  - name: test
-    num_bytes: 477111
-    num_examples: 1620
-  download_size: 1539085
-  dataset_size: 2313014
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
+annotations_creators:
+- expert-generated
+language:
+- es
+language_creators:
+- found
+license:
+- cc-by-4.0
+multilinguality:
+- monolingual
+pretty_name: 'INTENT-ES'
+size_categories:
+- 1K<n<10K
+source_datasets:
+- original
+task_categories:
+- text-classification
+task_ids:
+- intent-classification
+- sentiment-classification
+- emotion-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.