Convert dataset to Parquet (#3)

- Convert dataset to Parquet (2abf38b6b1f827c5051b29d223977203e3c8c821)
- Delete loading script (27cb3a4ece82a68a3f40eb27a1477a3a3cbb189d)
- Delete legacy dataset_infos.json (b7c3ae318d74452e2c8f4532f33848698e10a911)

README.md

@@ -37,16 +37,25 @@ dataset_info:
           '1': '1'
   splits:
   - name: test
-    num_bytes: 1337903
+    num_bytes: 1333261
     num_examples: 6165
-  - name: train
-    num_bytes: 4469148
-    num_examples: 20360
   - name: validation
-    num_bytes: 591833
+    num_bytes: 589765
     num_examples: 2733
-  download_size: 7094233
-  dataset_size: 6398884
+  - name: train
+    num_bytes: 4453862
+    num_examples: 20360
+  download_size: 2861208
+  dataset_size: 6376888
+configs:
+- config_name: default
+  data_files:
+  - split: test
+    path: data/test-*
+  - split: validation
+    path: data/validation-*
+  - split: train
+    path: data/train-*
 ---
 
 # Dataset Card for "wiki_qa"

data/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eb309da359eda13c4a68fcd0dbff5cc7fc4b73d8fda2585d162606dc035b9c48
+size 593691

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:55e3c86de5f7922f68320e8a7f527a854e6add14f9e5f72b9cca97efcdc915ea
+size 2004001

data/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7b774df06cb641feab1e7e3d01aa80eada5443b6a6c2807233d7837c2c50bc4e
+size 263516

dataset_infos.json

@@ -1 +0,0 @@
-{"default": {"description": "Wiki Question Answering corpus from Microsoft\n", "citation": "@InProceedings{YangYihMeek:EMNLP2015:WikiQA,\n       author = {{Yi}, Yang and {Wen-tau},  Yih and {Christopher} Meek},\n        title = \"{WikiQA: A Challenge Dataset for Open-Domain Question Answering}\",\n      journal = {Association for Computational Linguistics},\n         year = 2015,\n          doi = {10.18653/v1/D15-1237},\n        pages = {2013\u20132018},\n}\n", "homepage": "https://www.microsoft.com/en-us/download/details.aspx?id=52419", "license": "", "features": {"question_id": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "document_title": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["0", "1"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "supervised_keys": null, "builder_name": "wiki_qa", "config_name": "default", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1337903, "num_examples": 6165, "dataset_name": "wiki_qa"}, "train": {"name": "train", "num_bytes": 4469148, "num_examples": 20360, "dataset_name": "wiki_qa"}, "validation": {"name": "validation", "num_bytes": 591833, "num_examples": 2733, "dataset_name": "wiki_qa"}}, "download_checksums": {"https://download.microsoft.com/download/E/5/f/E5FCFCEE-7005-4814-853D-DAA7C66507E0/WikiQACorpus.zip": {"num_bytes": 7094233, "checksum": "467c13f9e104552c0a9c16f41836ca8d89f9c0cc4b6e4355e104d5c3109ffa45"}}, "download_size": 7094233, "dataset_size": 6398884, "size_in_bytes": 13493117}}

wiki_qa.py

@@ -1,96 +0,0 @@
-"""TODO(wiki_qa): Add a description here."""
-
-
-import csv
-import os
-
-import datasets
-
-
-# TODO(wiki_qa): BibTeX citation
-_CITATION = """\
-@InProceedings{YangYihMeek:EMNLP2015:WikiQA,
-       author = {{Yi}, Yang and {Wen-tau},  Yih and {Christopher} Meek},
-        title = "{WikiQA: A Challenge Dataset for Open-Domain Question Answering}",
-      journal = {Association for Computational Linguistics},
-         year = 2015,
-          doi = {10.18653/v1/D15-1237},
-        pages = {2013–2018},
-}
-"""
-
-# TODO(wiki_qa):
-_DESCRIPTION = """\
-Wiki Question Answering corpus from Microsoft
-"""
-
-_DATA_URL = "https://download.microsoft.com/download/E/5/f/E5FCFCEE-7005-4814-853D-DAA7C66507E0/WikiQACorpus.zip"  # 'https://www.microsoft.com/en-us/download/confirmation.aspx?id=52419'
-
-
-class WikiQa(datasets.GeneratorBasedBuilder):
-    """TODO(wiki_qa): Short description of my dataset."""
-
-    # TODO(wiki_qa): Set up version.
-    VERSION = datasets.Version("0.1.0")
-
-    def _info(self):
-        # TODO(wiki_qa): Specifies the datasets.DatasetInfo object
-        return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
-            description=_DESCRIPTION,
-            # datasets.features.FeatureConnectors
-            features=datasets.Features(
-                {
-                    "question_id": datasets.Value("string"),
-                    "question": datasets.Value("string"),
-                    "document_title": datasets.Value("string"),
-                    "answer": datasets.Value("string"),
-                    "label": datasets.features.ClassLabel(num_classes=2),
-                    # These are the features of your dataset like images, labels ...
-                }
-            ),
-            # 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="https://www.microsoft.com/en-us/download/details.aspx?id=52419",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        # TODO(wiki_qa): Downloads the data and defines the splits
-        # dl_manager is a datasets.download.DownloadManager that can be used to
-        # download and extract URLs
-        dl_dir = dl_manager.download_and_extract(_DATA_URL)
-        dl_dir = os.path.join(dl_dir, "WikiQACorpus")
-        # dl_dir = os.path.join(dl_dir, '')
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST, gen_kwargs={"filepath": os.path.join(dl_dir, "WikiQA-test.tsv")}
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION, gen_kwargs={"filepath": os.path.join(dl_dir, "WikiQA-dev.tsv")}
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={"filepath": os.path.join(dl_dir, "WikiQA-train.tsv")},
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        """Yields examples."""
-        # TODO(wiki_qa): Yields (key, example) tuples from the dataset
-
-        with open(filepath, encoding="utf-8") as f:
-            reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
-            for idx, row in enumerate(reader):
-                yield idx, {
-                    "question_id": row["QuestionID"],
-                    "question": row["Question"],
-                    "document_title": row["DocumentTitle"],
-                    "answer": row["Sentence"],
-                    "label": row["Label"],
-                }