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| from datasets import load_dataset | |
| dataset = load_dataset("go_emotions", split="train") | |
| emotions = dataset.info.features['labels'].feature.names | |
| def query_emotion(start, end): | |
| rows = dataset[start:end] | |
| texts, labels = [rows[k] for k in rows.keys()] | |
| observations = [] | |
| for i, text in enumerate(texts): | |
| observations.append({ | |
| "text": text, | |
| "emotion": emotions[labels[i]], | |
| }) | |
| return observations | |