Add BIRCO dataset with proper configs

README.md

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+---
+dataset_info:
+  - config_name: corpus
+    splits:
+      - name: test
+        num_bytes: 3769275
+        num_examples: 5544
+  - config_name: queries
+    splits:
+      - name: test
+        num_bytes: 37845
+        num_examples: 60
+  - config_name: default
+    splits:
+      - name: test
+        num_bytes: 63090
+        num_examples: 6634
+configs:
+  - config_name: corpus
+    data_files:
+      - split: test
+        path: data/corpus/test-*.parquet
+  - config_name: queries
+    data_files:
+      - split: test
+        path: data/queries/test-*.parquet
+  - config_name: default
+    data_files:
+      - split: test
+        path: data/default/test-*.parquet
+---
+
+# Dataset Card for BIRCO-DorisMae-Test
+
+## Dataset Configurations
+
+- **Corpus**: Document collection (5544 documents)
+- **Queries**: Search queries (60 queries)
+- **Default**: Relevance judgments (6634 judgments)
+

birco.py

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+import os
+import datasets
+from datasets import DownloadManager, DatasetInfo, Features, Value, Split, SplitGenerator
+
+_CITATION = """"@misc{birco,\n   title={{BIRCO: A Benchmark of Information Retrieval Tasks with Complex Objectives}},\n   author={{Xiaoyue Wang et al.}},\n   year={2024},\n   url={https://arxiv.org/abs/2402.14151},\n}""""
+_DESCRIPTION = """"BIRCO benchmark containing corpus, queries, and relevance judgments""""
+_HOMEPAGE = "https://github.com/BIRCO-benchmark/BIRCO"
+_LICENSE = "CC-BY-4.0"
+
+class BIRCO(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="corpus",
+            version=datasets.Version("1.0.0"),
+            description="Document corpus",
+        ),
+        datasets.BuilderConfig(
+            name="queries",
+            version=datasets.Version("1.0.0"),
+            description="Search queries",
+        ),
+        datasets.BuilderConfig(
+            name="default",
+            version=datasets.Version("1.0.0"),
+            description="Relevance judgments",
+        ),
+    ]
+
+    def _info(self):
+        if self.config.name == "corpus":
+            features = Features({
+                "_id": Value("string"),
+                "text": Value("string"),
+                "title": Value("string")
+            })
+        elif self.config.name == "queries":
+            features = Features({
+                "_id": Value("string"),
+                "text": Value("string")
+            })
+        elif self.config.name == "default":
+            features = Features({
+                "query-id": Value("string"),
+                "corpus-id": Value("string"),
+                "score": Value("float64")
+            })
+
+        return DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            citation=_CITATION,
+            homepage=_HOMEPAGE,
+            license=_LICENSE
+        )
+
+    def _split_generators(self, dl_manager):
+        return [
+            SplitGenerator(
+                name=Split.TEST,
+                gen_kwargs={
+                    "files": dl_manager.download_and_extract({
+                        "data": f"data/{self.config.name}/test-*.parquet"
+                    }),
+                    "split": "test"
+                }
+            )
+        ]
+
+    def _generate_examples(self, files, split):
+        dataset = datasets.load_dataset("parquet", data_files=files["data"], split=split)
+        for idx, example in enumerate(dataset):
+            yield idx, example

data/corpus/test-00000.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d6ac4461a42b43c7237e70caf428af0b874a78c02364db82bd27a970b626c04b
+size 3769275

data/default/test-00000.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e3b04f51a097f74d1aa3dffa70eb9643d25a2ee2c104116a44e729efa121ac9e
+size 63090

data/queries/test-00000.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:aca3680890b1c2ff15db90bc25ba99ceb661086b3a0269421c056c4a723c72e0
+size 37845

dataset_infos.json

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+{
+  "default": {
+    "dataset_size": 3870210,
+    "download_size": 3870210,
+    "features": {
+      "corpus": {
+        "_id": {
+          "dtype": "string",
+          "_type": "Value"
+        },
+        "text": {
+          "dtype": "string",
+          "_type": "Value"
+        },
+        "title": {
+          "dtype": "string",
+          "_type": "Value"
+        }
+      },
+      "queries": {
+        "_id": {
+          "dtype": "string",
+          "_type": "Value"
+        },
+        "text": {
+          "dtype": "string",
+          "_type": "Value"
+        }
+      },
+      "default": {
+        "query-id": {
+          "dtype": "string",
+          "_type": "Value"
+        },
+        "corpus-id": {
+          "dtype": "string",
+          "_type": "Value"
+        },
+        "score": {
+          "dtype": "float64",
+          "_type": "Value"
+        }
+      }
+    },
+    "splits": {
+      "test": {
+        "name": "test",
+        "num_bytes": 3870210,
+        "num_examples": 6634
+      }
+    }
+  }
+}