Update mimir.py

mimir.py

@@ -3,7 +3,12 @@
     Processing data at HF end.
 """
 
-from datasets import GeneratorBasedBuilder, SplitGenerator, DownloadManager, BuilderConfig
+from datasets import (
+    GeneratorBasedBuilder,
+    SplitGenerator,
+    DownloadManager,
+    BuilderConfig,
+)
 import json
 import os
 
@@ -20,12 +25,15 @@ We also cache neighbors (generated for the NE attack).
 _CITATION = """\
 @article{duan2024do,
   title={Do Membership Inference Attacks Work on Large Language Models?},
-  author={Duan*, Michael and Suri*, Anshuman and Mireshghallah, Niloofar and Min, Sewon and Shi, Weijia and Zettlemoyer, Luke and Tsvetkov, Yulia and Choi, Yejin and Evans, David and Hajishirzi, Hannaneh},
+  author={Duan*, Michael and \textbf{A. Suri*} and Mireshghallah, Niloofar and Min, Sewon and Shi, Weijia and Zettlemoyer, Luke and Tsvetkov, Yulia and Choi, Yejin and Evans, David and Hajishirzi, Hannaneh},
   journal={arXiv preprint arXiv:???},
   year={2024}
 }
 """
 
+_DOWNLOAD_URL = "https://huggingface.co/datasets/iamgroot42/mimir/resolve/main/"
+
+
 class MimirConfig(BuilderConfig):
     """BuilderConfig for Mimir dataset."""
 
@@ -45,7 +53,12 @@ class MimirDataset(GeneratorBasedBuilder):
     # Define the builder configs
     BUILDER_CONFIG_CLASS = MimirConfig
     BUILDER_CONFIGS = [
-        MimirConfig(name="the_pile_arxiv", description="This split contains data from Arxiv, truncated with 7-gram overlap threshold < 0.2."),
+        MimirConfig(
+            name="the_pile_arxiv", description="This split contains data from Arxiv"
+        ),
+        MimirConfig(
+            name="the_pile_full_pile", description="This split contains data from multiple sources in the Pile",
+        ),
     ]
 
     def _info(self):
@@ -54,9 +67,7 @@ class MimirDataset(GeneratorBasedBuilder):
             description=_DESCRIPTION,
             # This defines the different columns of the dataset and their types
             features=datasets.Features(
-                {
-                    "text": datasets.Value("string"),  # Each example is a piece of text
-                }
+                {"text": datasets.Sequence(datasets.Value("string"))}
             ),
             # If there's a common (input, target) tuple from the features,
             # specify them here. They'll be used if as_supervised=True in
@@ -72,27 +83,52 @@ class MimirDataset(GeneratorBasedBuilder):
         """Returns SplitGenerators."""
         # Path to the data files
         NEIGHBOR_SUFFIX = "_neighbors_25_bert_in_place_swap"
-        parent_dir = "cache_100_200_1000_512"
+        parent_dir = (
+            "cache_100_200_10000_512"
+            if self.config.name == "the_pile_full_pile"
+            else "cache_100_200_1000_512"
+        )
 
         file_paths = {
             "member": os.path.join(parent_dir, "train", self.config.name + ".jsonl"),
-            "nonmember": os.path.join(parent_dir, "test", self.config.name + ".jsonl")
+            "nonmember": os.path.join(parent_dir, "test", self.config.name + ".jsonl"),
         }
         # Load neighbor splits if they exist
-        if os.path.exists(os.path.join(parent_dir, "train_neighbors", self.config.name + f"{NEIGHBOR_SUFFIX}.jsonl")):
+        # TODO: This is not correct (should be checking URL, not local file structure). Fix later
+        if os.path.exists(
+            os.path.join(
+                parent_dir,
+                "train_neighbors",
+                self.config.name + f"{NEIGHBOR_SUFFIX}.jsonl",
+            )
+        ):
             # Assume if train nieghbors exist, test neighbors also exist
-            file_paths["member_neighbors"] = os.path.join("cache_100_200_1000_512", "train_neighbors", self.config.name + f"{NEIGHBOR_SUFFIX}.jsonl"),
-            file_paths["nonmember_neighbors"] = os.path.join("cache_100_200_1000_512", "test_neighbors", self.config.name + f"{NEIGHBOR_SUFFIX}.jsonl")
+            file_paths["member_neighbors"] = os.path.join(
+                parent_dir,
+                "train_neighbors",
+                self.config.name + f"{NEIGHBOR_SUFFIX}.jsonl",
+            )
+            file_paths["nonmember_neighbors"] = os.path.join(
+                parent_dir,
+                "test_neighbors",
+                self.config.name + f"{NEIGHBOR_SUFFIX}.jsonl",
+            )
+
+        # Now that we know which files to load, download them
+        download_paths = [_DOWNLOAD_URL + v for v in file_paths.values()]
+        data_dir = dl_manager.download_and_extract(download_paths)
 
         splits = []
-        for k, v in file_paths.items():
-            splits.append(SplitGenerator(name=k, gen_kwargs={"file_path": v}))
+        for i, k in enumerate(file_paths.keys()):
+            splits.append(SplitGenerator(name=k, gen_kwargs={"file_path": data_dir[i]}))
         return splits
 
     def _generate_examples(self, file_path):
         """Yields examples."""
         # Open the specified .jsonl file and read each line
-        with open(file_path, 'r') as f:
+        with open(file_path, "r") as f:
             for id, line in enumerate(f):
                 data = json.loads(line)
+                if type(data) != list:
+                    data = [data]
                 yield id, {"text": data}