Inflate JSON dataset

.gitattributes

@@ -53,3 +53,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+json/test.json filter=lfs diff=lfs merge=lfs -text
+json/train.json filter=lfs diff=lfs merge=lfs -text
+json/valid.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,48 @@
+---
+tags:
+- qa
+- sparql
+language:
+- en
+access: private
+dataset_info:
+  features:
+  - name: uid
+    dtype: int32
+  - name: NNQT_question
+    dtype: string
+  - name: paraphrased_question
+    dtype: string
+  - name: question
+    dtype: string
+  - name: simplified_query
+    dtype: string
+  - name: sparql_dbpedia18
+    dtype: string
+  - name: sparql_wikidata
+    dtype: string
+  - name: answer
+    list: string
+  - name: solved_answer
+    list: string
+  - name: subgraph
+    dtype: string
+  - name: template
+    dtype: string
+  - name: template_id
+    dtype: string
+  - name: template_index
+    dtype: int32
+  splits:
+  - name: train
+    num_bytes: 241621115
+    num_examples: 21101
+  - name: validation
+    num_bytes: 11306539
+    num_examples: 3010
+  - name: test
+    num_bytes: 21146458
+    num_examples: 6024
+  download_size: 371924378
+  dataset_size: 274074112
+---

json/test.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e66dc8d2da5d8a0fa445de33878c7b0ae0d7ced963f3d7cd515559c9ac190b56
+size 28751264

json/train.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:899763217cf6fea8e2e1c482a9deebfc4e1ee7b4a862db3a8773540f561aa5c0
+size 327664660

json/valid.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d5ea6be02a33030241e4012c31c936dbe550be5a69b491ea27257a44b5598bf3
+size 15508454

lc_quad2-sparqltotext.py

@@ -0,0 +1,127 @@
+import os
+import zipfile
+import json
+import base64
+
+import datasets
+
+try:
+    import gitlab
+except ImportError:
+    print("ERROR: To be able to retrieve this dataset you need to install the `python-gitlab` package")
+
+_CITATION = """\
+    @inproceedings{lecorve2022sparql2text,
+        title={Coqar: Question rewriting on coqa},
+        author={Lecorv\'e, Gw\'enol\'e and Veyret, Morgan and Brabant, Quentin and Rojas-Barahona, Lina M.},
+        journal={Proceedings of the Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (AACL-IJCNLP)},
+        year={2022}
+    }
+"""
+
+_HOMEPAGE = ""
+
+_URLS = {
+    "train": "json/train.json",
+    "valid": "json/valid.json",
+    "test": "json/test.json"
+}
+
+_DESCRIPTION = """\
+Special version of LCQuAD-2.0 for the SPARQL-to-Text task
+"""
+
+
+class LCQuAD20_SPARQL2Text(datasets.GeneratorBasedBuilder):
+    """
+    LCQuAD_2.0-SPARQL2Text: Special version of LCQuAD-2.0 for the SPARQL-to-Text task
+    """
+
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            # This is the description that will appear on the datasets page.
+            description=_DESCRIPTION,
+            # datasets.features.FeatureConnectors
+            features=datasets.Features(
+                {
+                    "uid": datasets.Value('int32'),
+                    "NNQT_question": datasets.Value('string'),
+                    "paraphrased_question": datasets.Value('string'),
+                    "question": datasets.Value('string'),
+                    "simplified_query": datasets.Value('string'),
+                    "sparql_dbpedia18": datasets.Value('string'),
+                    "sparql_wikidata": datasets.Value('string'),
+                    "answer": [datasets.Value("string")],
+                    "solved_answer": [datasets.Value("string")],
+                    "subgraph": datasets.Value('string'),
+                    "template": datasets.Value('string'),
+                    "template_id": datasets.Value('string'),
+                    "template_index": datasets.Value('int32')
+                }
+            ),
+            # 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=("simplified_query", "question"),
+            # Homepage of the dataset for documentation
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        # Downloads the data and defines the splits
+        # dl_manager is a datasets.download.DownloadManager that can be used to
+        # download and extract URLs
+        paths = dl_manager.download_and_extract(_URLS)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": dl_manager.extract(paths['train']),
+                            "split": "train"}
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"filepath": dl_manager.extract(paths['valid']),
+                            "split": "valid"}
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepath": dl_manager.extract(paths['test']),
+                            "split": "test"}
+            )
+        ]
+        
+
+    def _generate_examples(self, filepath, split):
+        """Yields examples."""
+        
+        def transform_sample(original_sample):
+            transformed_sample = {
+                    "uid": -1,
+                    "NNQT_question": "",
+                    "paraphrased_question": "",
+                    "question":  "",
+                    "simplified_query": "",
+                    "sparql_dbpedia18": "",
+                    "sparql_wikidata": "",
+                    "answer": [],
+                    "solved_answer": [],
+                    "subgraph": "",
+                    "template": "",
+                    "template_id": "",
+                    "template_index": -1
+            }
+            transformed_sample.update(original_sample)
+            
+            return transformed_sample
+        
+        # Yields (key, example) tuples from the dataset
+        with open(filepath,'r') as f:
+            data = json.load(f)
+            key = 0
+            for it in data:
+                yield key, transform_sample(it)
+                key += 1