Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -20,6 +20,7 @@ task_ids:
 paperswithcode_id: allocine
 pretty_name: Allociné
 dataset_info:
+  config_name: allocine
   features:
   - name: review
     dtype: string
@@ -29,19 +30,28 @@ dataset_info:
         names:
           '0': neg
           '1': pos
-  config_name: allocine
   splits:
   - name: train
-    num_bytes: 91330696
+    num_bytes: 91330632
     num_examples: 160000
   - name: validation
-    num_bytes: 11546250
+    num_bytes: 11546242
     num_examples: 20000
   - name: test
-    num_bytes: 11547697
+    num_bytes: 11547689
     num_examples: 20000
-  download_size: 66625305
-  dataset_size: 114424643
+  download_size: 75125954
+  dataset_size: 114424563
+configs:
+- config_name: allocine
+  data_files:
+  - split: train
+    path: allocine/train-*
+  - split: validation
+    path: allocine/validation-*
+  - split: test
+    path: allocine/test-*
+  default: true
 train-eval-index:
 - config: allocine
   task: text-classification

allocine/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0e313c31e2db65eae40072f525eb0bc3567817baad70a85f798836b1e5be5a88
+size 7580549

allocine/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5cdabde7b62d2d56a2bc24e790cb9697057645103b607c281d82092bc5d53307
+size 59970147

allocine/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c2a25489c7f923475a11756071acc20df1a967b58042ca853698800164e731aa
+size 7575258

dataset_infos.json

@@ -1 +1,60 @@
-{"allocine": {"description": " Allocine Dataset: A Large-Scale French Movie Reviews Dataset.\n This is a dataset for binary sentiment classification, made of user reviews scraped from Allocine.fr.\n It contains 100k positive and 100k negative reviews divided into 3 balanced splits: train (160k reviews), val (20k) and test (20k).\n", "citation": "@misc{blard2019allocine,\n  author = {Blard, Theophile},\n  title = {french-sentiment-analysis-with-bert},\n  year = {2020},\n  publisher = {GitHub},\n  journal = {GitHub repository},\n  howpublished={\\url{https://github.com/TheophileBlard/french-sentiment-analysis-with-bert}},\n}\n", "homepage": "https://github.com/TheophileBlard/french-sentiment-analysis-with-bert", "license": "", "features": {"review": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["neg", "pos"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "text-classification", "text_column": "review", "label_column": "label", "labels": ["neg", "pos"]}], "builder_name": "allocine_dataset", "config_name": "allocine", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 91330696, "num_examples": 160000, "dataset_name": "allocine_dataset"}, "validation": {"name": "validation", "num_bytes": 11546250, "num_examples": 20000, "dataset_name": "allocine_dataset"}, "test": {"name": "test", "num_bytes": 11547697, "num_examples": 20000, "dataset_name": "allocine_dataset"}}, "download_checksums": {"https://github.com/TheophileBlard/french-sentiment-analysis-with-bert/raw/master/allocine_dataset/data.tar.bz2": {"num_bytes": 66625305, "checksum": "8c49a8cac783da201697ed1a91b36d2f6618222b3b7ea1c2996f2a3fbc37dfb4"}}, "download_size": 66625305, "post_processing_size": null, "dataset_size": 114424643, "size_in_bytes": 181049948}}
+{
+    "allocine": {
+        "description": " Allocine Dataset: A Large-Scale French Movie Reviews Dataset.\n This is a dataset for binary sentiment classification, made of user reviews scraped from Allocine.fr.\n It contains 100k positive and 100k negative reviews divided into 3 balanced splits: train (160k reviews), val (20k) and test (20k).\n",
+        "citation": "@misc{blard2019allocine,\n  author = {Blard, Theophile},\n  title = {french-sentiment-analysis-with-bert},\n  year = {2020},\n  publisher = {GitHub},\n  journal = {GitHub repository},\n  howpublished={\\url{https://github.com/TheophileBlard/french-sentiment-analysis-with-bert}},\n}\n",
+        "homepage": "https://github.com/TheophileBlard/french-sentiment-analysis-with-bert",
+        "license": "",
+        "features": {
+            "review": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "label": {
+                "names": [
+                    "neg",
+                    "pos"
+                ],
+                "_type": "ClassLabel"
+            }
+        },
+        "task_templates": [
+            {
+                "task": "text-classification",
+                "text_column": "review",
+                "label_column": "label"
+            }
+        ],
+        "builder_name": "allocine",
+        "dataset_name": "allocine",
+        "config_name": "allocine",
+        "version": {
+            "version_str": "1.0.0",
+            "major": 1,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 91330632,
+                "num_examples": 160000,
+                "dataset_name": null
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 11546242,
+                "num_examples": 20000,
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 11547689,
+                "num_examples": 20000,
+                "dataset_name": null
+            }
+        },
+        "download_size": 75125954,
+        "dataset_size": 114424563,
+        "size_in_bytes": 189550517
+    }
+}