feat(loader): added bugnet.py

README.md

@@ -1,3 +1,43 @@
 ---
 license: apache-2.0
+dataset_info:
+  features:
+  - name: problem_id
+    dtype: string
+  - name: language
+    dtype: string
+  - name: original_status
+    dtype: string
+  - name: original_src
+    dtype: string
+  - name: changed_src
+    dtype: string
+  - name: change
+    dtype: string
+  - name: i1
+    dtype: uint32
+  - name: i2
+    dtype: uint32
+  - name: j1
+    dtype: uint32
+  - name: j2
+    dtype: uint32
+  - name: error
+    dtype: string
+  - name: stderr
+    dtype: string
+  - name: description
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 245629877
+    num_examples: 41905
+  - name: validation
+    num_bytes: 107794247
+    num_examples: 20037
+  - name: test
+    num_bytes: 108416842
+    num_examples: 20127
+  download_size: 295192809
+  dataset_size: 461840966
 ---

bugnet.py

@@ -0,0 +1,117 @@
+"""TODO: Add a description here."""
+
+
+import json
+
+import datasets
+
+# TODO: Add BibTeX citation
+_CITATION = """\
+"""
+
+# TODO: Add description of the dataset here
+_DESCRIPTION = """\
+"""
+
+# 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 = ""
+
+_URL = "https://huggingface.co/datasets/alexjercan/bugnet/resolve/main/"
+_URLS = {
+    "train": _URL + "train.jsonl",
+    "validation": _URL + "validation.jsonl",
+    "test": _URL + "test.jsonl",
+    "descriptions": _URL + "problem_descriptions.json",
+}
+
+
+class Bugnet(datasets.GeneratorBasedBuilder):
+    """TODO: Short description of my dataset."""
+
+    VERSION = datasets.Version("1.1.0")
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "problem_id": datasets.Value("string"),
+                "language": datasets.Value("string"),
+                "original_status": datasets.Value("string"),
+                "original_src": datasets.Value("string"),
+                "changed_src": datasets.Value("string"),
+                "change": datasets.Value("string"),
+                "i1": datasets.Value("uint32"),
+                "i2": datasets.Value("uint32"),
+                "j1": datasets.Value("uint32"),
+                "j2": datasets.Value("uint32"),
+                "error": datasets.Value("string"),
+                "stderr": datasets.Value("string"),
+                "description": 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(_URLS)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": data_dir["train"],
+                    "descriptions": data_dir["descriptions"],
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": data_dir["validation"],
+                    "descriptions": data_dir["descriptions"],
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": data_dir["test"],
+                    "descriptions": data_dir["descriptions"],
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath, descriptions):
+        with open(descriptions, encoding="utf-8") as file:
+            data = json.load(file)
+
+        descriptions = {}
+        for item in data:
+            key = item["problem_id"]
+            value = item["description"]
+            descriptions[key] = value
+
+        with open(filepath, encoding="utf-8") as file:
+            for key, row in enumerate(file):
+                data = json.loads(row)
+
+                yield key, {
+                    "problem_id": data["problem_id"],
+                    "language": data["language"],
+                    "original_status": data["original_status"],
+                    "original_src": data["original_src"],
+                    "changed_src": data["changed_src"],
+                    "change": data["change"],
+                    "i1": data["i1"],
+                    "i2": data["i2"],
+                    "j1": data["j1"],
+                    "j2": data["j2"],
+                    "error": data["error"],
+                    "stderr": data["stderr"],
+                    "description": descriptions[data["problem_id"]],
+                }