| from datasets import ( |
| GeneratorBasedBuilder, |
| SplitGenerator, |
| DownloadManager, |
| BuilderConfig, |
| ) |
| import json |
| import os |
|
|
| import datasets |
|
|
| from typing import List |
|
|
|
|
| _HOMEPAGE = "http://github.com/iamgroot42/mimir" |
|
|
| _DESCRIPTION = """\ |
| Member and non-member splits for our MI experiments using MIMIR. Data is available for each source. |
| """ |
|
|
| _CITATION = """\ |
| @article{duan2024membership, |
| title={Do Membership Inference Attacks Work on Large Language Models?}, |
| author={Michael Duan and Anshuman Suri and Niloofar Mireshghallah and Sewon Min and Weijia Shi and Luke Zettlemoyer and Yulia Tsvetkov and Yejin Choi and David Evans and Hannaneh Hajishirzi}, |
| year={2024}, |
| journal={arXiv:2402.07841}, |
| } |
| """ |
|
|
| _DOWNLOAD_URL = "https://huggingface.co/datasets/iamgroot42/mimir/resolve/main/" |
|
|
|
|
| class MimirConfig(BuilderConfig): |
| """BuilderConfig for Mimir dataset.""" |
|
|
| def __init__(self, *args, subsets: List[str] = [], **kwargs): |
| """Constructs a MimirConfig. |
| |
| Args: |
| **kwargs: keyword arguments forwarded to super. |
| """ |
| super(MimirConfig, self).__init__(**kwargs) |
| self.subsets = subsets |
|
|
|
|
| class MimirDataset(GeneratorBasedBuilder): |
| VERSION = datasets.Version("1.3.0") |
|
|
| BUILDER_CONFIG_CLASS = MimirConfig |
| BUILDER_CONFIGS = [ |
| MimirConfig( |
| name="arxiv", |
| subsets=["ngram_7_0.2", "ngram_13_0.2", "ngram_13_0.8"], |
| description="This split contains data from the Pile's Arxiv subset at various n-gram overlap thresholds" |
| ), |
| MimirConfig( |
| name="dm_mathematics", |
| subsets=["ngram_7_0.2", "ngram_13_0.2", "ngram_13_0.8"], |
| description="This split contains data from the Pile's DM Mathematics subset at various n-gram overlap thresholds" |
| ), |
| MimirConfig( |
| name="github", |
| subsets=["ngram_7_0.2", "ngram_13_0.2", "ngram_13_0.8"], |
| description="This split contains data from the Pile's GitHub subset at various n-gram overlap thresholds" |
| ), |
| MimirConfig( |
| name="hackernews", |
| subsets=["ngram_7_0.2", "ngram_13_0.2", "ngram_13_0.8"], |
| description="This split contains data from the Pile's HackerNews subset at various n-gram overlap thresholds" |
| ), |
| MimirConfig( |
| name="pile_cc", |
| subsets=["ngram_7_0.2", "ngram_13_0.2", "ngram_13_0.8"], |
| description="This split contains data from the Pile's Pile CC subset at various n-gram overlap thresholds" |
| ), |
| MimirConfig( |
| name="pubmed_central", |
| subsets=["ngram_7_0.2", "ngram_13_0.2", "ngram_13_0.8"], |
| description="This split contains data from the Pile's PubMed Central subset at various n-gram overlap thresholds" |
| ), |
| MimirConfig( |
| name="wikipedia_(en)", |
| subsets=["ngram_7_0.2", "ngram_13_0.2", "ngram_13_0.8"], |
| description="This split contains data from the Pile's Wikipedia subset at various n-gram overlap thresholds" |
| ), |
| ] |
|
|
| def _info(self): |
| return datasets.DatasetInfo( |
| description=_DESCRIPTION, |
| features=datasets.Features({ |
| "input": datasets.Value("string"), |
| "label": datasets.Value("int32"), |
| }), |
| supervised_keys=None, |
| homepage=_HOMEPAGE, |
| citation=_CITATION, |
| ) |
|
|
| def _split_generators(self, dl_manager: DownloadManager): |
| """Returns SplitGenerators.""" |
| parent_dir = "cache_100_200_1000_512" |
|
|
| if len(self.config.subsets) > 0: |
| suffixes = [f"{subset}" for subset in self.config.subsets] |
| else: |
| suffixes = ["none"] |
|
|
| file_paths = {} |
| for subset_split_suffix in suffixes: |
| internal_fp = {} |
|
|
| subset_split_suffix_use = f"_{subset_split_suffix}" if subset_split_suffix != "none" else "" |
|
|
| internal_fp['member'] = os.path.join(parent_dir, "train", f"{self.config.name}{subset_split_suffix_use}.jsonl") |
| internal_fp['nonmember'] = os.path.join(parent_dir, "test", f"{self.config.name}{subset_split_suffix_use}.jsonl") |
|
|
| file_paths[subset_split_suffix] = internal_fp |
|
|
| |
| data_dir = {} |
| for k, v_dict in file_paths.items(): |
| download_paths = [_DOWNLOAD_URL + v for v in v_dict.values()] |
| paths = dl_manager.download_and_extract(download_paths) |
| internal_dict = {k: v for k, v in zip(v_dict.keys(), paths)} |
| data_dir[k] = internal_dict |
|
|
| splits = [SplitGenerator(name=k, gen_kwargs={"file_path_dict": data_dir[k]}) for k in suffixes] |
| return splits |
|
|
| def _generate_examples(self, file_path_dict): |
| """Yields individual examples for members and non-members.""" |
| with open(file_path_dict["member"], "r") as f_member, open(file_path_dict["nonmember"], "r") as f_nonmember: |
| for id, (member, nonmember) in enumerate(zip(f_member, f_nonmember)): |
| member_text = json.loads(member) |
| nonmember_text = json.loads(nonmember) |
|
|
| |
| yield f"{id}_member", { |
| "input": member_text, |
| "label": 1, |
| } |
| yield f"{id}_nonmember", { |
| "input": nonmember_text, |
| "label": 0, |
| } |
|
|
