First version

.gitattributes

@@ -49,3 +49,5 @@ 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
+data/test.jsonl filter=lfs diff=lfs merge=lfs -text
+data/train.jsonl filter=lfs diff=lfs merge=lfs -text

20Q.py

@@ -0,0 +1,69 @@
+import os
+import json
+import datasets
+
+
+# TODO: Add description of the dataset here
+# You can copy an official description
+_DESCRIPTION = """20Q"""
+
+# TODO: Add a link to an official homepage for the dataset here
+_HOMEPAGE = ""
+
+# TODO: Add the licence for the dataset here if you can find it
+_LICENSE = ""
+
+
+
+class NewDataset(datasets.GeneratorBasedBuilder):
+    """TODO: Short description of my dataset."""
+
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "subject": datasets.Value("string"),
+                "question": datasets.Value("string"),
+                "label": datasets.Value("bool"),
+                "label_fine_grained": datasets.Value("string")
+            }
+        )
+
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation="_CITATION",
+        )
+
+    def _split_generators(self, dl_manager):
+        data_dir = dl_manager.download_and_extract(["data/train.jsonl", "data/test.jsonl"])
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": data_dir[0],
+                    "split": "train",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": data_dir[1],
+                    "split": "test"
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        with open(filepath, encoding="utf-8") as f:
+            for key, row in enumerate(f):
+                data = json.loads(row)
+                yield key, {
+                    "subject": data["subject"],
+                    "question": data["question"],
+                    "label": data["label"],
+                    "label_fine_grained": data["label_fine_grained"]
+                }

README.md

@@ -0,0 +1,21 @@
+annotations_creators:
+- crowdsourced
+language:
+- en
+language_creators:
+- other
+license:
+- cc-by-4.0
+multilinguality:
+- monolingual
+pretty_name: 20Q
+size_categories:
+- 1K<n<10K
+source_datasets: []
+tags:
+- 20Q
+- 20 Questions
+- Twenty Questions
+task_categories:
+- question-answering
+task_ids:

data/test.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7988520fd212c07487b2a6ec55a3e498722c0c926120414492d45f2395a854bb
+size 274029

data/train.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e84b36b32ca487767a1a7852769e7d23446124ffb5874b5dd1152ecfc94a53f4
+size 90784

dataset_infos.json

@@ -0,0 +1 @@
+{"default": {"description": "20Q", "citation": "_CITATION", "homepage": "", "license": "", "features": {"subject": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"dtype": "bool", "id": null, "_type": "Value"}, "label_fine_grained": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "new_dataset", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 40740, "num_examples": 815, "dataset_name": "new_dataset"}, "test": {"name": "test", "num_bytes": 120391, "num_examples": 2500, "dataset_name": "new_dataset"}}, "download_checksums": {"data/train.jsonl": {"num_bytes": 90784, "checksum": "e84b36b32ca487767a1a7852769e7d23446124ffb5874b5dd1152ecfc94a53f4"}, "data/test.jsonl": {"num_bytes": 274029, "checksum": "7988520fd212c07487b2a6ec55a3e498722c0c926120414492d45f2395a854bb"}}, "download_size": 364813, "post_processing_size": null, "dataset_size": 161131, "size_in_bytes": 525944}}