Update mimir.py

mimir.py

@@ -14,6 +14,8 @@ import os
 
 import datasets
 
+from typing import List
+
 
 _HOMEPAGE = "http://github.com/iamgroot42/mimir"
 
@@ -37,13 +39,14 @@ _DOWNLOAD_URL = "https://huggingface.co/datasets/iamgroot42/mimir/resolve/main/"
 class MimirConfig(BuilderConfig):
     """BuilderConfig for Mimir dataset."""
 
-    def __init__(self, **kwargs):
+    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):
@@ -54,10 +57,53 @@ class MimirDataset(GeneratorBasedBuilder):
     BUILDER_CONFIG_CLASS = MimirConfig
     BUILDER_CONFIGS = [
         MimirConfig(
-            name="the_pile_arxiv", description="This split contains data from Arxiv"
+            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="the_pile_full_pile", description="This split contains data from multiple sources in the Pile",
+            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"
+        ),
+        MimirConfig(
+            name="full_pile", description="This split contains data from multiple sources in the Pile",
+        ),
+        MimirConfig(
+            name="c4", description="This split contains data the C4 dataset",
+        ),
+        MimirConfig(
+            name="temporal_arxiv", 
+            subsets=["2020_08", "2021_01", "2021_06", "2022_01", "2022_06", "2023_01", "2023_06"],
+            description="This split contains benchmarks where non-members are selected from various months from 2020-08 and onwards",
+        ),
+        MimirConfig(
+            name="temporal_wiki", description="This split contains benchmarks where non-members are selected from 2023-08 and onwards",
         ),
     ]
 
@@ -85,42 +131,44 @@ class MimirDataset(GeneratorBasedBuilder):
         NEIGHBOR_SUFFIX = "_neighbors_25_bert_in_place_swap"
         parent_dir = (
             "cache_100_200_10000_512"
-            if self.config.name == "the_pile_full_pile"
+            if self.config.name == "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"),
-        }
-        # Load neighbor splits if they exist
-        # 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(
+        if len(self.config.subsets) > 0:
+            subset_splits = [f"{self.config.name}_{subset}" for subset in self.config.subsets]
+        else:
+            subset_splits = [self.config.name]
+
+        file_paths = {}
+        for subset_split in subset_splits:
+            # Add standard member and non-member paths
+            file_paths[f"{subset_split}_member"] = os.path.join(parent_dir, "train", subset_split + ".jsonl")
+            file_paths[f"{subset_split}_nonmember"] = os.path.join(parent_dir, "test", subset_split + ".jsonl")
+            
+            # Load associated neighbors
+            file_paths[f"{subset_split}_member_neighbors"] = os.path.join(
                 parent_dir,
                 "train_neighbors",
-                self.config.name + f"{NEIGHBOR_SUFFIX}.jsonl",
+                subset_split + f"{NEIGHBOR_SUFFIX}.jsonl",
             )
-            file_paths["nonmember_neighbors"] = os.path.join(
+            file_paths[f"{subset_split}_nonmember_neighbors"] = os.path.join(
                 parent_dir,
                 "test_neighbors",
-                self.config.name + f"{NEIGHBOR_SUFFIX}.jsonl",
+                subset_split + 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()]
+        download_paths = []
+        k2i = {}
+        for i, (k, v) in enumerate(file_paths.items()):
+            download_paths.append(_DOWNLOAD_URL + v)
+            k2i[k] = i
         data_dir = dl_manager.download_and_extract(download_paths)
 
         splits = []
-        for i, k in enumerate(file_paths.keys()):
-            splits.append(SplitGenerator(name=k, gen_kwargs={"file_path": data_dir[i]}))
+        for k in file_paths.keys():
+            splits.append(SplitGenerator(name=k, gen_kwargs={"file_path": data_dir[k2i[k]]}))
         return splits
 
     def _generate_examples(self, file_path):