Convert to Parquet (#3)

- fix metadata (1bc6653564af544dbf15588077fceb056d475b98)
- Update README.md (e7ce91d25bbc4989f6bc879c5b962dab46d3fb73)
- Convert dataset to Parquet (bd00114f97da8b99bd310ef44a78aec1fd737f95)
- Add 'queries' config data files (bf00f5edaf006eefc706cbf09b10c2e854f0d72a)
- Delete loading script (80b5a63ff085ec6db829e1b6c6b9270b96e92cb6)
- Delete data file (72213e7a255d405dc7fd70d4f9f3b1fd00ca1387)
- Delete data file (266a5c58a26f7fff28cf9886d58e265cb1e039b6)
- Update README.md (9d1b0e188171749890135be5ef08256bce91e6ca)


Co-authored-by: Quentin Lhoest <[email protected]>

README.md

@@ -1,6 +1,4 @@
 ---
-annotations_creators: []
-language_creators: []
 language:
 - en
 license:
@@ -9,54 +7,62 @@ multilinguality:
 - monolingual
 paperswithcode_id: beir
 pretty_name: BEIR Benchmark
-size_categories:
-  msmarco:
-  - 1M<n<10M
-  trec-covid:
-  - 100k<n<1M
-  nfcorpus:
-  - 1K<n<10K
-  nq:
-  - 1M<n<10M
-  hotpotqa:
-  - 1M<n<10M
-  fiqa:
-  - 10K<n<100K
-  arguana:
-  - 1K<n<10K
-  touche-2020:
-  - 100K<n<1M
-  cqadupstack:
-  - 100K<n<1M
-  quora:
-  - 100K<n<1M
-  dbpedia:
-  - 1M<n<10M
-  scidocs:
-  - 10K<n<100K
-  fever:
-  - 1M<n<10M
-  climate-fever:
-  - 1M<n<10M
-  scifact:
-  - 1K<n<10K
-source_datasets: []
 task_categories:
+- zero-shot-classification
 - text-retrieval
-- zero-shot-retrieval
-- information-retrieval
-- zero-shot-information-retrieval
 task_ids:
-- passage-retrieval
+- document-retrieval
 - entity-linking-retrieval
 - fact-checking-retrieval
-- tweet-retrieval
+tags:
+- biomedical-information-retrieval
 - citation-prediction-retrieval
-- duplication-question-retrieval
-- argument-retrieval
+- passage-retrieval
 - news-retrieval
-- biomedical-information-retrieval
+- argument-retrieval
+- zero-shot-information-retrieval
+- tweet-retrieval
 - question-answering-retrieval
+- duplication-question-retrieval
+- zero-shot-retrieval
+configs:
+- config_name: corpus
+  data_files:
+  - split: corpus
+    path: corpus/corpus-*
+- config_name: queries
+  data_files:
+  - split: queries
+    path: queries/queries-*
+dataset_info:
+- config_name: corpus
+  features:
+  - name: _id
+    dtype: string
+  - name: title
+    dtype: string
+  - name: text
+    dtype: string
+  splits:
+  - name: corpus
+    num_bytes: 5856698
+    num_examples: 3633
+  download_size: 3193804
+  dataset_size: 5856698
+- config_name: queries
+  features:
+  - name: _id
+    dtype: string
+  - name: title
+    dtype: string
+  - name: text
+    dtype: string
+  splits:
+  - name: queries
+    num_bytes: 141303
+    num_examples: 3237
+  download_size: 83904
+  dataset_size: 141303
 ---
 
 # Dataset Card for BEIR Benchmark

corpus.jsonl.gz → corpus/corpus-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ae4d6ab2ab88d880e7e180776c956a09c19c43a703457742cd850d2422035802
-size 1978293
+oid sha256:6d63810663c22a21d74f1689da586ecdc1aec941d4d99494b2a5f319f3078471
+size 3193804

nfcorpus.py

@@ -1,58 +0,0 @@
-import json
-import csv
-import os
-import datasets
-
-logger = datasets.logging.get_logger(__name__)
-
-_DESCRIPTION = "FIQA Dataset"
-_SPLITS = ["corpus", "queries"]
-
-URL = ""
-_URLs = {subset: URL + f"{subset}.jsonl.gz" for subset in _SPLITS}
-
-class BEIR(datasets.GeneratorBasedBuilder):
-    """BEIR BenchmarkDataset."""
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name=name,
-            description=f"This is the {name} in the FiQA dataset.",
-        ) for name in _SPLITS
-    ]
-    
-    def _info(self):
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-             features=datasets.Features({
-                "_id": datasets.Value("string"), 
-                "title": datasets.Value("string"),
-                "text": datasets.Value("string"),
-             }),
-            supervised_keys=None,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-
-        my_urls = _URLs[self.config.name]
-        data_dir = dl_manager.download_and_extract(my_urls)
-
-        return [
-            datasets.SplitGenerator(
-                name=self.config.name,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={"filepath": data_dir},
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        """Yields examples."""
-        with open(filepath, encoding="utf-8") as f:
-            texts = f.readlines()
-        for i, text in enumerate(texts):
-            text = json.loads(text)
-            if 'metadata' in text: del text['metadata']
-            if "title" not in text: text["title"] = ""
-            yield i, text

queries.jsonl.gz → queries/queries-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:baba3504a2736b0e32265962f04acc4fecfaf9649e0ea08e49ff441246f75364
-size 79080
+oid sha256:947d272a11835ab4690bb085928f951f26144bd4ecbc811dc48886297aa10b42
+size 83904