Text Generation
Transformers
English
mixtral
legal
conversational
Inference Endpoints
File size: 1,080 Bytes
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import argparse
import jsonlines
import json
from tqdm import tqdm
import uuid

parser = argparse.ArgumentParser()
parser.add_argument("--in-file", type=str, default="flan1m-alpaca-uncensored.jsonl")
parser.add_argument("--out-file", type=str, default="flan1m-sharegpt-deduped.json")
args = parser.parse_args()
in_file = args.in_file
out_file = args.out_file

f = open(out_file, "w", encoding="utf-8")

questions = {}

out = []
with jsonlines.open(in_file) as reader:
    for obj in tqdm(reader):
        if questions.get(obj["instruction"] + obj["input"]) is None:
            questions[obj["instruction"] + obj["input"]] = True
            out.append(
                {
                    "id": f"{uuid.uuid4()}",
                    "bot": "dolphin",
                    "training": obj["instruction"],
                    "conversations": [
                        {"from": "human", "value": obj["input"]},
                        {"from": "gpt", "value": obj["output"]},
                    ],
                }
            )
json.dump(out, f, ensure_ascii=False)
f.close()