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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 | |