Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -58,13 +58,20 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 1829167
+    num_bytes: 1829159
     num_examples: 8437
   - name: test
-    num_bytes: 458218
+    num_bytes: 458210
     num_examples: 2110
-  download_size: 750717
-  dataset_size: 2287385
+  download_size: 1180619
+  dataset_size: 2287369
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: test
+    path: data/test-*
 ---
 
 # Dataset Card for ArSarcasm

data/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cc52d603c68a4b886ffba5a1674a2dc34797449add6aa6ceb0ff1b38f4fef023
+size 239166

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a1841c0864a1de32495e8040b409f5ffc1cdafffb27b117c7f716eba2db82c93
+size 941453

dataset_infos.json

@@ -1 +1,77 @@
-{"default": {"description": "ArSarcasm is a new Arabic sarcasm detection dataset.\nThe dataset was created using previously available Arabic sentiment analysis datasets (SemEval 2017 and ASTD)\n and adds sarcasm and dialect labels to them. The dataset contains 10,547 tweets, 1,682 (16%) of which are sarcastic.\n", "citation": "@inproceedings{abu-farha-magdy-2020-arabic,\n    title = \"From {A}rabic Sentiment Analysis to Sarcasm Detection: The {A}r{S}arcasm Dataset\",\n    author = \"Abu Farha, Ibrahim  and Magdy, Walid\",\n    booktitle = \"Proceedings of the 4th Workshop on Open-Source Arabic Corpora and Processing Tools, with a Shared Task on Offensive Language Detection\",\n    month = may,\n    year = \"2020\",\n    address = \"Marseille, France\",\n    publisher = \"European Language Resource Association\",\n    url = \"https://www.aclweb.org/anthology/2020.osact-1.5\",\n    pages = \"32--39\",\n    language = \"English\",\n    ISBN = \"979-10-95546-51-1\",\n}", "homepage": "https://github.com/iabufarha/ArSarcasm", "license": "MIT", "features": {"dialect": {"num_classes": 5, "names": ["egypt", "gulf", "levant", "magreb", "msa"], "names_file": null, "id": null, "_type": "ClassLabel"}, "sarcasm": {"num_classes": 2, "names": ["non-sarcastic", "sarcastic"], "names_file": null, "id": null, "_type": "ClassLabel"}, "sentiment": {"num_classes": 3, "names": ["negative", "neutral", "positive"], "names_file": null, "id": null, "_type": "ClassLabel"}, "original_sentiment": {"num_classes": 3, "names": ["negative", "neutral", "positive"], "names_file": null, "id": null, "_type": "ClassLabel"}, "tweet": {"dtype": "string", "id": null, "_type": "Value"}, "source": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "ar_sarcasm", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1829167, "num_examples": 8437, "dataset_name": "ar_sarcasm"}, "test": {"name": "test", "num_bytes": 458218, "num_examples": 2110, "dataset_name": "ar_sarcasm"}}, "download_checksums": {"https://github.com/iabufarha/ArSarcasm/archive/master.zip": {"num_bytes": 750717, "checksum": "a148877c4c933827d83b6e679880eeccf58b751c5ed5785f2f5a93aa950d0d41"}}, "download_size": 750717, "post_processing_size": null, "dataset_size": 2287385, "size_in_bytes": 3038102}}
+{
+    "default": {
+        "description": "ArSarcasm is a new Arabic sarcasm detection dataset.\nThe dataset was created using previously available Arabic sentiment analysis datasets (SemEval 2017 and ASTD)\n and adds sarcasm and dialect labels to them. The dataset contains 10,547 tweets, 1,682 (16%) of which are sarcastic.\n",
+        "citation": "@inproceedings{abu-farha-magdy-2020-arabic,\n    title = \"From {A}rabic Sentiment Analysis to Sarcasm Detection: The {A}r{S}arcasm Dataset\",\n    author = \"Abu Farha, Ibrahim  and Magdy, Walid\",\n    booktitle = \"Proceedings of the 4th Workshop on Open-Source Arabic Corpora and Processing Tools, with a Shared Task on Offensive Language Detection\",\n    month = may,\n    year = \"2020\",\n    address = \"Marseille, France\",\n    publisher = \"European Language Resource Association\",\n    url = \"https://www.aclweb.org/anthology/2020.osact-1.5\",\n    pages = \"32--39\",\n    language = \"English\",\n    ISBN = \"979-10-95546-51-1\",\n}",
+        "homepage": "https://github.com/iabufarha/ArSarcasm",
+        "license": "MIT",
+        "features": {
+            "dialect": {
+                "names": [
+                    "egypt",
+                    "gulf",
+                    "levant",
+                    "magreb",
+                    "msa"
+                ],
+                "_type": "ClassLabel"
+            },
+            "sarcasm": {
+                "names": [
+                    "non-sarcastic",
+                    "sarcastic"
+                ],
+                "_type": "ClassLabel"
+            },
+            "sentiment": {
+                "names": [
+                    "negative",
+                    "neutral",
+                    "positive"
+                ],
+                "_type": "ClassLabel"
+            },
+            "original_sentiment": {
+                "names": [
+                    "negative",
+                    "neutral",
+                    "positive"
+                ],
+                "_type": "ClassLabel"
+            },
+            "tweet": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "source": {
+                "dtype": "string",
+                "_type": "Value"
+            }
+        },
+        "builder_name": "parquet",
+        "dataset_name": "ar_sarcasm",
+        "config_name": "default",
+        "version": {
+            "version_str": "1.0.0",
+            "major": 1,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 1829159,
+                "num_examples": 8437,
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 458210,
+                "num_examples": 2110,
+                "dataset_name": null
+            }
+        },
+        "download_size": 1180619,
+        "dataset_size": 2287369,
+        "size_in_bytes": 3467988
+    }
+}