|
|
|
with open("converted_training.jsonl", "w") as w:
|
|
|
|
with open("training_data.txt", "r") as f:
|
|
|
|
text = f.read()
|
|
|
|
conversations = text.split("\n\n")
|
|
|
|
for c in conversations:
|
|
|
|
sentences = c.split("\n")
|
|
|
|
if len(sentences) > 1:
|
|
|
|
indices_to_delete = []
|
|
|
|
for s_i in range(len(sentences)):
|
|
|
|
s = sentences[s_i]
|
|
|
|
if len(s) == 0:
|
|
|
|
indices_to_delete.append(s_i)
|
|
|
|
|
|
|
|
for i in indices_to_delete:
|
|
|
|
sentences.pop(i)
|
|
|
|
|
|
|
|
assert len(sentences) % 2 == 0, f"Sentences: {sentences}, length: {len(sentences)}"
|
|
|
|
assert sentences[0].startswith("Player:"), sentences[0]
|
|
|
|
|
|
|
|
training_string = ""
|
|
|
|
|
|
|
|
for s_i in range(len(sentences)):
|
|
|
|
s = sentences[s_i]
|
|
|
|
if not s.startswith("Player:"):
|
|
|
|
npc_prompt = s.split(" ")[0]
|
|
|
|
prompt = "\\n".join(sentences[:s_i]).replace('"', '\\"')
|
|
|
|
prompt += f"\\n{npc_prompt} \\\""
|
|
|
|
completion = s.split(":")[1].split("\"")[1].replace('"', '\\"')
|
|
|
|
completion += '\\"'
|
|
|
|
#print(f"Prompt: {prompt} | \n\nCompletion: {completion}\n\n")
|
|
|
|
training_string += f'{{"prompt": "{prompt}", "completion": "{completion}"}}\n'
|
|
|
|
|
|
|
|
#print("--")
|
|
|
|
|
|
|
|
w.write(training_string)
|