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mixbench.py

@@ -5,73 +5,74 @@ import datasets
 
 _DESCRIPTION = """
 MixBench is a benchmark for mixed-modality retrieval across text, image, and image+text corpora.
-Each config corresponds to a (dataset, split) pair.
+Each config corresponds to a dataset (e.g., MSCOCO), and defines splits: query, corpus, mixed_corpus, and qrel.
 """
 
 _HOMEPAGE = "https://huggingface.co/datasets/mixed-modality-search/MixBench25"
 
 _SUBSETS = ["MSCOCO", "Google_WIT", "VisualNews", "OVEN"]
-_SPLITS = ["query", "corpus", "mixed_corpus", "qrel"]
 
 class MixBench(datasets.GeneratorBasedBuilder):
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(
-            name=f"{subset}_{split}",
+            name=subset,
             version=datasets.Version("1.0.0"),
-            description=f"{subset} - {split}"
-        )
-        for subset in _SUBSETS
-        for split in _SPLITS
+            description=f"MixBench subset: {subset}"
+        ) for subset in _SUBSETS
     ]
 
     def _info(self):
+        # Placeholder: will be replaced in _split_generators
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
             homepage=_HOMEPAGE,
             features=datasets.Features({
-                "query_id": datasets.Value("string"),
-                "corpus_id": datasets.Value("string"),
-                "text": datasets.Value("string"),
-                "image": datasets.Value("string"),
-                "score": datasets.Value("int32"),
+                "placeholder": datasets.Value("string")
             })
         )
 
     def _split_generators(self, dl_manager):
-        subset, split = self.config.name.split("_", 1)
+        subset = self.config.name
         subset_dir = os.path.join(dl_manager.manual_dir or dl_manager.download_and_extract(""), subset)
 
-        if split == "query":
-            file_path = os.path.join(subset_dir, "queries.jsonl")
-        elif split == "corpus":
-            file_path = os.path.join(subset_dir, "corpus.jsonl")
-        elif split == "mixed_corpus":
-            file_path = os.path.join(subset_dir, "mixed_corpus.jsonl")
-        elif split == "qrel":
-            file_path = os.path.join(subset_dir, "qrels", "qrels.tsv")
-        else:
-            raise ValueError(f"Unknown split: {split}")
-
         return [
             datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"path": file_path, "split": split},
-            )
+                name="query",
+                gen_kwargs={"path": os.path.join(subset_dir, "queries.jsonl"), "split": "query"},
+            ),
+            datasets.SplitGenerator(
+                name="corpus",
+                gen_kwargs={"path": os.path.join(subset_dir, "corpus.jsonl"), "split": "corpus"},
+            ),
+            datasets.SplitGenerator(
+                name="mixed_corpus",
+                gen_kwargs={"path": os.path.join(subset_dir, "mixed_corpus.jsonl"), "split": "mixed_corpus"},
+            ),
+            datasets.SplitGenerator(
+                name="qrel",
+                gen_kwargs={"path": os.path.join(subset_dir, "qrels", "qrels.tsv"), "split": "qrel"},
+            ),
         ]
 
     def _generate_examples(self, path, split):
-        if split in {"query", "corpus", "mixed_corpus"}:
+        if split == "query":
             with open(path, encoding="utf-8") as f:
                 for idx, line in enumerate(f):
                     item = json.loads(line)
                     yield idx, {
-                        "query_id": item.get("query_id", "") if split == "query" else "",
-                        "corpus_id": item.get("corpus_id", "") if split in {"corpus", "mixed_corpus"} else "",
+                        "query_id": item.get("query_id", ""),
+                        "text": item.get("text", ""),
+                        "image": item.get("image", ""),
+                    }
+        elif split in {"corpus", "mixed_corpus"}:
+            with open(path, encoding="utf-8") as f:
+                for idx, line in enumerate(f):
+                    item = json.loads(line)
+                    yield idx, {
+                        "corpus_id": item.get("corpus_id", ""),
                         "text": item.get("text", ""),
                         "image": item.get("image", ""),
-                        "score": 0,
                     }
-
         elif split == "qrel":
             with open(path, encoding="utf-8") as f:
                 reader = csv.DictReader(f, delimiter="\t")
@@ -79,7 +80,5 @@ class MixBench(datasets.GeneratorBasedBuilder):
                     yield idx, {
                         "query_id": row["query_id"],
                         "corpus_id": row["corpus_id"],
-                        "text": "",
-                        "image": "",
                         "score": int(row["score"]),
                     }