Convert dataset to Parquet (#4)

- Convert dataset to Parquet (fa102ba3a84b6c58abd1ab51cd9177385024e8fe)
- Delete loading script (5bda394d5c9bd34bd443ff92eebb18356929d138)

README.md

@@ -9,7 +9,6 @@ license:
 - unknown
 multilinguality:
 - monolingual
-pretty_name: QaZre
 size_categories:
 - 1M<n<10M
 source_datasets:
@@ -17,7 +16,7 @@ source_datasets:
 task_categories:
 - question-answering
 task_ids: []
-paperswithcode_id: null
+pretty_name: QaZre
 tags:
 - zero-shot-relation-extraction
 dataset_info:
@@ -34,16 +33,25 @@ dataset_info:
     sequence: string
   splits:
   - name: test
-    num_bytes: 29410194
+    num_bytes: 29409906
     num_examples: 120000
   - name: validation
-    num_bytes: 1481430
+    num_bytes: 1481406
     num_examples: 6000
   - name: train
-    num_bytes: 2054954011
+    num_bytes: 2054933851
     num_examples: 8400000
-  download_size: 516061636
-  dataset_size: 2085845635
+  download_size: 1262253976
+  dataset_size: 2085825163
+configs:
+- config_name: default
+  data_files:
+  - split: test
+    path: data/test-*
+  - split: validation
+    path: data/validation-*
+  - split: train
+    path: data/train-*
 ---
 
 # Dataset Card for QaZre

data/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e6dcd88f988e25fc84340605981ca4cee2431f46c6cd7bb8d71fb26a971cfa47
+size 16280465

data/train-00000-of-00005.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4ef26fd38225787069f5808cc7ca435c624a2e053aeebd4dff3a44d5b25136f6
+size 249185400

data/train-00001-of-00005.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ecbe362d1e5b700a35a4f08ad8ffc5bb876f37532458fb5139ab69a2824bbcb
+size 248602563

data/train-00002-of-00005.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:012ca297cda181b54cbcc3166e4efddfdc4a8ada2335799a2861b6ea24b4ed1f
+size 247864412

data/train-00003-of-00005.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f98c6c0ad56597317df7d0ed865d7db368bd4fce92d2c789598d26c596e26740
+size 249805558

data/train-00004-of-00005.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:593cb80c479247bf10a92ef032f4580ce249c94b00d0249e84c665bdfc44cd55
+size 249681886

data/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:38a5c8d0b0deb3c4bea9d6293128189ae1f21de4846ffd0df520ef21bb9c6d11
+size 833692

qa_zre.py

@@ -1,99 +0,0 @@
-"""A dataset reducing relation extraction to simple reading comprehension questions"""
-
-import csv
-import os
-
-import datasets
-
-
-_CITATION = """\
-@inproceedings{levy-etal-2017-zero,
-    title = "Zero-Shot Relation Extraction via Reading Comprehension",
-    author = "Levy, Omer  and
-      Seo, Minjoon  and
-      Choi, Eunsol  and
-      Zettlemoyer, Luke",
-    booktitle = "Proceedings of the 21st Conference on Computational Natural Language Learning ({C}o{NLL} 2017)",
-    month = aug,
-    year = "2017",
-    address = "Vancouver, Canada",
-    publisher = "Association for Computational Linguistics",
-    url = "https://www.aclweb.org/anthology/K17-1034",
-    doi = "10.18653/v1/K17-1034",
-    pages = "333--342",
-}
-"""
-
-_DESCRIPTION = """\
-A dataset reducing relation extraction to simple reading comprehension questions
-"""
-
-_DATA_URL = "http://nlp.cs.washington.edu/zeroshot/relation_splits.tar.bz2"
-
-
-class QaZre(datasets.GeneratorBasedBuilder):
-    """QA-ZRE: Reducing relation extraction to simple reading comprehension questions"""
-
-    VERSION = datasets.Version("0.1.0")
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "relation": datasets.Value("string"),
-                    "question": datasets.Value("string"),
-                    "subject": datasets.Value("string"),
-                    "context": datasets.Value("string"),
-                    "answers": datasets.features.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
-            # builder.as_dataset.
-            supervised_keys=None,
-            # Homepage of the dataset for documentation
-            homepage="http://nlp.cs.washington.edu/zeroshot",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        dl_dir = dl_manager.download_and_extract(_DATA_URL)
-        dl_dir = os.path.join(dl_dir, "relation_splits")
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "filepaths": [os.path.join(dl_dir, "test." + str(i)) for i in range(10)],
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "filepaths": [os.path.join(dl_dir, "dev." + str(i)) for i in range(10)],
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepaths": [os.path.join(dl_dir, "train." + str(i)) for i in range(10)],
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepaths):
-        """Yields examples."""
-
-        for file_idx, filepath in enumerate(filepaths):
-            with open(filepath, encoding="utf-8") as f:
-                data = csv.reader(f, delimiter="\t")
-                for idx, row in enumerate(data):
-                    yield f"{file_idx}_{idx}", {
-                        "relation": row[0],
-                        "question": row[1],
-                        "subject": row[2],
-                        "context": row[3],
-                        "answers": row[4:],
-                    }