{ "dataset_name": "mock_text_classification", "description": "Multi-label text classification dataset with ClassLabel columns", "version": "1.0.0", "num_rows": 300, "features": { "id": { "dtype": "int64", "_type": "Value" }, "text": { "dtype": "string", "_type": "Value" }, "sentiment": { "_type": "ClassLabel", "names": [ "negative", "neutral", "positive" ], "num_classes": 3, "dtype": "int32" }, "sentiment_id": { "dtype": "int32", "_type": "Value" }, "topic": { "_type": "ClassLabel", "names": [ "technology", "science", "business", "sports", "entertainment", "health", "politics" ], "num_classes": 7, "dtype": "int32" }, "topic_id": { "dtype": "int32", "_type": "Value" }, "language": { "_type": "ClassLabel", "names": [ "en", "zh", "ja", "ko", "fr", "de", "es", "pt", "ru", "ar" ], "num_classes": 10, "dtype": "int32" }, "language_id": { "dtype": "int32", "_type": "Value" }, "quality": { "_type": "ClassLabel", "names": [ "low", "medium", "high", "premium" ], "num_classes": 4, "dtype": "int32" }, "quality_id": { "dtype": "int32", "_type": "Value" }, "intent": { "_type": "ClassLabel", "names": [ "question", "command", "statement", "request", "complaint", "feedback" ], "num_classes": 6, "dtype": "int32" }, "intent_id": { "dtype": "int32", "_type": "Value" } }, "label_distributions": { "sentiment": { "neutral": 116, "positive": 108, "negative": 76 }, "topic": { "entertainment": 47, "politics": 45, "sports": 44, "health": 43, "technology": 42, "science": 40, "business": 39 }, "language": { "en": 76, "zh": 56, "fr": 34, "ja": 34, "ko": 25, "pt": 23, "de": 18, "es": 18, "ru": 10, "ar": 6 }, "quality": { "high": 126, "medium": 90, "low": 49, "premium": 35 }, "intent": { "complaint": 66, "request": 57, "feedback": 54, "statement": 48, "command": 42, "question": 33 } } }