Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -28,16 +28,25 @@ dataset_info:
     dtype: float32
   splits:
   - name: train
-    num_bytes: 4899539
+    num_bytes: 4899535
     num_examples: 9577
   - name: test
-    num_bytes: 514527
+    num_bytes: 514523
     num_examples: 1006
   - name: validation
-    num_bytes: 515785
+    num_bytes: 515781
     num_examples: 1002
-  download_size: 2314847
-  dataset_size: 5929851
+  download_size: 3923657
+  dataset_size: 5929839
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: test
+    path: data/test-*
+  - split: validation
+    path: data/validation-*
 ---
 
 # Dataset Card for [Dataset Name]

data/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5586790a8ab19ab5a01f54572553303216b6d58b3627bbb8dbcd1731ce9a982b
+size 349137

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:647cde0312a6f659fdc3d4942f595b3c058e560fc298bd3fc91736e48a1bb8c7
+size 3225749

data/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:013fb16adbebebc0546a0459868303a216542aaea1c07696e5a66fedd272f03e
+size 348771

dataset_infos.json

@@ -1 +1,50 @@
-{"default": {"description": "Allegro Reviews is a sentiment analysis dataset, consisting of 11,588 product reviews written in Polish and extracted \nfrom Allegro.pl - a popular e-commerce marketplace. Each review contains at least 50 words and has a rating on a scale \nfrom one (negative review) to five (positive review).\n\nWe recommend using the provided train/dev/test split. The ratings for the test set reviews are kept hidden. \nYou can evaluate your model using the online evaluation tool available on klejbenchmark.com.\n", "citation": "@inproceedings{rybak-etal-2020-klej,\n    title = \"{KLEJ}: Comprehensive Benchmark for Polish Language Understanding\",\n    author = \"Rybak, Piotr and Mroczkowski, Robert and Tracz, Janusz and Gawlik, Ireneusz\",\n    booktitle = \"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics\",\n    month = jul,\n    year = \"2020\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://www.aclweb.org/anthology/2020.acl-main.111\",\n    pages = \"1191--1201\",\n}\n", "homepage": "https://github.com/allegro/klejbenchmark-allegroreviews", "license": "CC BY-SA 4.0", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "rating": {"dtype": "float32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "allegro_reviews", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 4899539, "num_examples": 9577, "dataset_name": "allegro_reviews"}, "test": {"name": "test", "num_bytes": 514527, "num_examples": 1006, "dataset_name": "allegro_reviews"}, "validation": {"name": "validation", "num_bytes": 515785, "num_examples": 1002, "dataset_name": "allegro_reviews"}}, "download_checksums": {"https://klejbenchmark.com/static/data/klej_ar.zip": {"num_bytes": 2314847, "checksum": "7c74bdb440e15c36b0a66f32500decd86f29380fc42b28752f1335de143a99fc"}}, "download_size": 2314847, "post_processing_size": null, "dataset_size": 5929851, "size_in_bytes": 8244698}}
+{
+    "default": {
+        "description": "Allegro Reviews is a sentiment analysis dataset, consisting of 11,588 product reviews written in Polish and extracted\nfrom Allegro.pl - a popular e-commerce marketplace. Each review contains at least 50 words and has a rating on a scale\nfrom one (negative review) to five (positive review).\n\nWe recommend using the provided train/dev/test split. The ratings for the test set reviews are kept hidden.\nYou can evaluate your model using the online evaluation tool available on klejbenchmark.com.\n",
+        "citation": "@inproceedings{rybak-etal-2020-klej,\n    title = \"{KLEJ}: Comprehensive Benchmark for Polish Language Understanding\",\n    author = \"Rybak, Piotr and Mroczkowski, Robert and Tracz, Janusz and Gawlik, Ireneusz\",\n    booktitle = \"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics\",\n    month = jul,\n    year = \"2020\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://www.aclweb.org/anthology/2020.acl-main.111\",\n    pages = \"1191--1201\",\n}\n",
+        "homepage": "https://github.com/allegro/klejbenchmark-allegroreviews",
+        "license": "CC BY-SA 4.0",
+        "features": {
+            "text": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "rating": {
+                "dtype": "float32",
+                "_type": "Value"
+            }
+        },
+        "builder_name": "parquet",
+        "dataset_name": "allegro_reviews",
+        "config_name": "default",
+        "version": {
+            "version_str": "1.1.0",
+            "major": 1,
+            "minor": 1,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 4899535,
+                "num_examples": 9577,
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 514523,
+                "num_examples": 1006,
+                "dataset_name": null
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 515781,
+                "num_examples": 1002,
+                "dataset_name": null
+            }
+        },
+        "download_size": 3923657,
+        "dataset_size": 5929839,
+        "size_in_bytes": 9853496
+    }
+}