Initial commit

.gitattributes

@@ -14,3 +14,4 @@
 *.pb filter=lfs diff=lfs merge=lfs -text
 *.pt filter=lfs diff=lfs merge=lfs -text
 *.pth filter=lfs diff=lfs merge=lfs -text
+data/*.tsv filter=lfs diff=lfs merge=lfs -text

data/label.txt

@@ -0,0 +1,2 @@
+positive
+negative

data/test.tsv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:20d63e7ac71f494151ad2c5caee3a26a0bbfd7ad6f9f9399a529c1eeea8560e0
+size 61035

data/train.tsv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4d3ff0295eda7c367c2f2b36e8a2324199a4a3159d9a84312782db56fd66137c
+size 224916

data/valid.tsv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aa129de83af495dc9601c51b739bbc4989ccb645ff68c6aac92486f9d7d40587
+size 44926

rotten-tomato.py

@@ -0,0 +1,60 @@
+from __future__ import absolute_import, division, print_function
+
+import datasets
+
+
+_URL = "data/"
+_URLs = {
+    "train": _URL + "train.tsv",
+    "valid": _URL + "valid.tsv",
+    "test": _URL + "test.tsv",
+}
+
+
+class RottenTomato(datasets.GeneratorBasedBuilder):
+    def _info(self):
+        return datasets.DatasetInfo(
+            description="MR Dataset",
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                    "label": datasets.features.ClassLabel(names=['positive', 'negative']),
+                }
+            ),
+            supervised_keys=None,
+            license="",
+            homepage="",
+            citation="",
+        )
+
+    def _split_generators(self, dl_manager):
+        downloaded_files = dl_manager.download_and_extract(_URLs)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": downloaded_files["train"],
+                }
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": downloaded_files["valid"],
+                }
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": downloaded_files["test"],
+                }
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+
+        with open(filepath, "r", encoding='ISO-8859-1') as f:
+            for idx, line in enumerate(f):
+                text, label = line.split("\t")
+
+                yield idx, {"text": text.strip(), "label": label.strip()}