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from datasets import load_dataset | |
SEED = 42 | |
def get_dataset(name: str, machine_field, human_field, iterable=False, | |
text_field=None, shuffle=False, main_split='train'): | |
dataset = load_dataset(name)[main_split] | |
ds = dataset.rename_columns({human_field: 'human_text', machine_field: 'machine_text'}) | |
if 'id' not in ds.features: | |
ids = list(range(len(ds))) | |
ds = ds.add_column("id", ids) | |
if text_field: | |
ds = ds.rename_columns({text_field: 'text'}) | |
if iterable: | |
ds = ds.to_iterable_dataset() | |
if shuffle: | |
return ds.shuffle(seed=SEED) | |
else: | |
return ds | |
def get_text_from_wiki_dataset(shuffle=False, text_field=None): | |
return get_dataset(name="aadityaubhat/GPT-wiki-intro", machine_field='generated_intro', | |
human_field="wiki_intro", shuffle=shuffle, text_field=text_field) | |
def get_text_from_wiki_long_dataset(shuffle=False, text_field=None): | |
return get_dataset(name="alonkipnis/wiki-intro-long", machine_field='generated_intro', | |
human_field="wiki_intro", shuffle=shuffle, text_field=text_field) | |
def get_text_from_wiki_long_dataset_local(shuffle=False, text_field=None, iterable=False): | |
""" | |
A version of wiki_intro dataset with at least 15 sentences per generated article | |
""" | |
dataset = load_dataset("alonkipnis/wiki-intro-long") | |
ds = dataset.rename_columns({"wiki_intro": 'human_text', "generated_intro": 'machine_text'}) | |
if text_field: | |
ds = ds.rename_columns({text_field: 'text'}) | |
if iterable: | |
ds = ds.to_iterable_dataset() | |
if shuffle: | |
return ds.shuffle(seed=SEED) | |
else: | |
return ds | |
def get_text_from_chatgpt_news_long_dataset_local(shuffle=False, text_field=None, iterable=False): | |
""" | |
A version of chatgpt-news-articles dataset with at least 15 sentences per generated article | |
Only 'train' split is included | |
""" | |
dataset = load_dataset("alonkipnis/news-chatgpt-long") | |
ds = dataset.rename_columns({"article": 'human_text', "chatgpt": 'machine_text'}) | |
if text_field: | |
ds = ds.rename_columns({text_field: 'text'}) | |
if iterable: | |
ds = ds.to_iterable_dataset() | |
if shuffle: | |
return ds.shuffle(seed=SEED) | |
else: | |
return ds | |
def get_text_from_chatgpt_abstracts_dataset(shuffle=False, text_field=None): | |
return get_dataset(name="NicolaiSivesind/ChatGPT-Research-Abstracts", machine_field="generated_abstract", | |
human_field="real_abstract", shuffle=shuffle, text_field=text_field) | |
def get_text_from_chatgpt_news_long_dataset(shuffle=False, text_field=None): | |
return get_dataset(name="alonkipnis/news-chatgpt-long", machine_field='chatgpt', | |
human_field="article", shuffle=shuffle, text_field=text_field) | |
def get_text_from_chatgpt_news_dataset(shuffle=False, text_field=None): | |
return get_dataset(name="isarth/chatgpt-news-articles", machine_field='chatgpt', | |
human_field="article", shuffle=shuffle, text_field=text_field) | |
def get_text_from_wikibio_dataset(shuffle=False, text_field=None): | |
return get_dataset(name="potsawee/wiki_bio_gpt3_hallucination", machine_field='gpt3_text', | |
human_field="wiki_bio_text", shuffle=shuffle, text_field=text_field, main_split='evaluation') | |
## New datasets (22/5/2023) | |
def get_text_from_alpaca_gpt4_dataset(shuffle=False, text_field=None): | |
return get_dataset(name="polyware-ai/alpaca-gpt4-cleaned", machine_field='output', | |
human_field="instruction", shuffle=shuffle, text_field=text_field) | |