data splits added

README.md

@@ -1,3 +1,22 @@
 ---
-license: apache-2.0
+dataset_info:
+  features:
+  - name: comment
+    dtype: string
+  - name: label
+    dtype: string
+  - name: label_id
+    dtype: float64
+  splits:
+  - name: train
+    num_bytes: 9448245
+    num_examples: 52110
+  - name: validation
+    num_bytes: 1499484
+    num_examples: 8337
+  - name: test
+    num_bytes: 1627356
+    num_examples: 9033
+  download_size: 11880991
+  dataset_size: 12575085
 ---

snappfood-sentiment-analysis.py

@@ -1,55 +0,0 @@
-import csv
-import datasets
-
-_CITATION = ""
-
-
-_DESCRIPTION = """ Snappfood sentiment analysis dataset"""
-
-FILENAME = "Snappfood - Sentiment Analysis.csv"
-
-class SnappfoodSentiment(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="snappfood_sentiment",
-            version=datasets.Version("1.0.0", ""),
-            description="snappfood sentiment analysis dataset",
-        )
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "comment": datasets.Value("string"),
-                    "label": datasets.Value("string"),
-                    "label_id": datasets.Value("float64"),
-                }
-            ),
-            # No default supervised_keys.
-            supervised_keys=None,
-            homepage="https://www.kaggle.com/datasets/soheiltehranipour/snappfood-persian-sentiment-analysis",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        dl_dir = dl_manager.download_and_extract(FILENAME)
-
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": dl_dir})
-        ]
-
-    def _generate_examples(self, filepath):
-        """This function returns the examples in the raw (text) form."""
-        try:
-            with open(filepath, encoding="utf-8") as f:
-                reader = csv.DictReader(f, delimiter="\t")
-                for idx, row in enumerate(reader):
-                    yield idx, {
-                        "comment": row["comment"],
-                        "label": row["label"],
-                        "label_id": row["label_id"],
-                    }
-        except Exception as e:
-            print(e)

Snappfood - Sentiment Analysis.csv → test.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7cbbe3d10ee1dc948ebf27ac0234827c0baae2d2b90eb9c683cfd0334d4e2114
-size 11905281
+oid sha256:1358a285632d0d1a322054fa23837d8f883b96878b0d0b1447b15fb04b153eec
+size 1537130

train.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:00a7254d74895d6860c2878fbb2942fffbac171d4ddf6aced109372c4edb50df
+size 8927627

validation.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a98e875d08e8a22db934904a3bf7a4bd21ab4208f074a0a590206b69c8a4d44
+size 1416234