from datasets import Dataset, load_dataset
from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained('models/RedPajama-INCITE-Instruct-7B')
max_seq = 2048

def make_prompt(code):
    return f'Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n{code}\n\n### Response:\n'


def is_not_too_long(data):
    encoded = tokenizer.encode(make_prompt(data['content']))
    return len(encoded) < max_seq

def deduplicate_dicts(dicts):
    seen = {}
    result = []
    for d in dicts:
        content = d.get('content')
        if content not in seen:
            seen[content] = True
            result.append(d)
    return result

dataset = load_dataset('json', data_files='ts_parser/ts-chunks.jsonl')

data_short = dataset.filter(is_not_too_long)

dedup = deduplicate_dicts(data_short['train'])

data_short_dedup = Dataset.from_list(dedup)
print(data_short_dedup)

data_short_dedup.to_json('typescript-chunks.json')