hf_text-generation-inference/load_tests/filter.py

27 lines
728 B
Python

import json
def main():
with open("./ShareGPT_V3_unfiltered_cleaned_split.json", "r") as f:
data = json.load(f)
# Select only the first 2k conversations that start with a human.
max = 2000
conversations = []
for conversation in data:
conv = conversation.get("conversations")
if conv and conv[0]["from"] == "human":
# Trim the rest of the output
conversation["conversations"] = conversation["conversations"][:1]
conversations.append(conversation)
if len(conversation) >= max:
break
with open("./small.json", "w") as f:
data = json.dump(conversations, f, indent=4)
if __name__ == "__main__":
main()