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from datasets import load_dataset
import hashlib
def main():
ds = load_dataset("GAIR/lima" ,split="train")
ds_test = load_dataset("GAIR/lima" ,split="test")
ds = ds.map(lambda x: {
"length": len(x['conversations'])
})
ds = ds.filter(lambda x: x['length'] == 2)
ds = ds.map(
lambda x: {
"prompt_id": hashlib.sha256(x['conversations'][0].encode("utf-8")).hexdigest(),
"prompt": x['conversations'][0],
"messages": [
{"role": "user", "content": x['conversations'][0]},
{"role": "assistant", "content": x['conversations'][1]}
],
"meta": {"source": "lima", "category": x['source']}
})
ds_test = ds_test.map(lambda x: {
"prompt_id": hashlib.sha256(x['conversations'][0].encode("utf-8")).hexdigest(),
"prompt": x['conversations'][0],
"messages": [
{"role": "user", "content": x['conversations'][0]},
],
"meta": {"source": "lima", "category": x['source']}
})
ds.push_to_hub("HuggingFaceH4/lima", split = "train_ift")
ds_test.push_to_hub("HuggingFaceH4/lima", split = "test_ift")
if __name__ == "__main__":
main()
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