Convert dataset to Parquet

README.md

@@ -1,13 +1,90 @@
 ---
 language: en
+size_categories: 10K<n<100K
 task_categories:
 - text-classification
-tags:
-- long context
 task_ids:
 - multi-class-classification
 - topic-classification
-size_categories: 10K<n<100K
+tags:
+- long context
+dataset_info:
+- config_name: abstract
+  features:
+  - name: text
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': Human Necessities
+          '1': Performing Operations; Transporting
+          '2': Chemistry; Metallurgy
+          '3': Textiles; Paper
+          '4': Fixed Constructions
+          '5': Mechanical Engineering; Lightning; Heating; Weapons; Blasting
+          '6': Physics
+          '7': Electricity
+          '8': General tagging of new or cross-sectional technology
+  splits:
+  - name: train
+    num_bytes: 17225101
+    num_examples: 25000
+  - name: validation
+    num_bytes: 3472854
+    num_examples: 5000
+  - name: test
+    num_bytes: 3456733
+    num_examples: 5000
+  download_size: 12067953
+  dataset_size: 24154688
+- config_name: patent
+  features:
+  - name: text
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': Human Necessities
+          '1': Performing Operations; Transporting
+          '2': Chemistry; Metallurgy
+          '3': Textiles; Paper
+          '4': Fixed Constructions
+          '5': Mechanical Engineering; Lightning; Heating; Weapons; Blasting
+          '6': Physics
+          '7': Electricity
+          '8': General tagging of new or cross-sectional technology
+  splits:
+  - name: train
+    num_bytes: 466788625
+    num_examples: 25000
+  - name: validation
+    num_bytes: 95315107
+    num_examples: 5000
+  - name: test
+    num_bytes: 93844869
+    num_examples: 5000
+  download_size: 272966251
+  dataset_size: 655948601
+configs:
+- config_name: abstract
+  data_files:
+  - split: train
+    path: abstract/train-*
+  - split: validation
+    path: abstract/validation-*
+  - split: test
+    path: abstract/test-*
+- config_name: patent
+  data_files:
+  - split: train
+    path: patent/train-*
+  - split: validation
+    path: patent/validation-*
+  - split: test
+    path: patent/test-*
+  default: true
 ---
 
 **Patent Classification: a classification of Patents and abstracts (9 classes).** 

test_data.txt → abstract/test-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6624a83224d868e575d8c8c210a89135b00ab3ccb563fb0b5ab5f9268e569ca5
-size 97938986
+oid sha256:193794903aa2c7a5a23b34b01b5ac51514afd658f61424024aed74f25fd200d3
+size 1720512

val_data.txt → abstract/train-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:687787fffcaece738e823508382617abfb0fbbf82917e593600894917e78d1b2
-size 99425708
+oid sha256:a0c0bb843b324a631735e6f916c5fcbb739f91c15307747b4cf62c67ae313617
+size 8611586

train_data.txt → abstract/validation-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:32a8220d7b12b1705f44b0004d6a7ba984fc6038b236cfa63f51563c5f57e8b2
-size 487201907
+oid sha256:61a4282d20a6623db135489039b09a5fd541d6158d8f2378ac3098c532ae4671
+size 1735855

patent-classification.py

@@ -1,109 +0,0 @@
-import json
-import os
-
-import datasets
-from datasets.tasks import TextClassification
-
-_CITATION = None
-
-
-_DESCRIPTION = """
- Patent Classification Dataset: a classification of Patents (9 classes).
- It contains 9 unbalanced classes, 35k Patents and summaries divided into 3 splits: train (25k), val (5k) and test (5k).
- Data are sampled from "BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization." by Eva Sharma, Chen Li and Lu Wang 
- See: https://aclanthology.org/P19-1212.pdf 
- See: https://evasharma.github.io/bigpatent/
-"""
-
-_LABELS = [
-    "Human Necessities",
-    "Performing Operations; Transporting",
-    "Chemistry; Metallurgy",
-    "Textiles; Paper",
-    "Fixed Constructions",
-    "Mechanical Engineering; Lightning; Heating; Weapons; Blasting",
-    "Physics",
-    "Electricity",
-    "General tagging of new or cross-sectional technology",
-]
-
-class PatentClassificationConfig(datasets.BuilderConfig):
-    """BuilderConfig for PatentClassification."""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig for PatentClassification.
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(PatentClassificationConfig, self).__init__(**kwargs)
-
-
-class PatentClassificationDataset(datasets.GeneratorBasedBuilder):
-    """PatentClassification Dataset: classification of Patents (9 classes)."""
-    
-    _DOWNLOAD_URL = "https://huggingface.co/datasets/ccdv/patent-classification/resolve/main/"
-    _TRAIN_FILE = "train_data.txt"
-    _VAL_FILE = "val_data.txt"
-    _TEST_FILE = "test_data.txt"
-    _LABELS_DICT = {label: i for i, label in enumerate(_LABELS)}
-
-    BUILDER_CONFIGS = [
-        PatentClassificationConfig(
-            name="patent",
-            version=datasets.Version("1.0.0"),
-            description="Patent Classification Dataset: A classification task of Patents (9 classes)",
-        ),
-
-        PatentClassificationConfig(
-            name="abstract",
-            version=datasets.Version("1.0.0"),
-            description="Patent Classification Dataset: A classification task of Patents with abstracts (9 classes)",
-        ),
-    ]
-
-    DEFAULT_CONFIG_NAME = "patent"
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "text": datasets.Value("string"),
-                    "label": datasets.features.ClassLabel(names=_LABELS),
-                }
-            ),
-            supervised_keys=None,
-            citation=_CITATION,
-            task_templates=[TextClassification(
-                text_column="text", label_column="label")],
-        )
-
-    def _split_generators(self, dl_manager):
-        train_path = dl_manager.download_and_extract(self._TRAIN_FILE)
-        val_path = dl_manager.download_and_extract(self._VAL_FILE)
-        test_path = dl_manager.download_and_extract(self._TEST_FILE)
-        
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION, gen_kwargs={"filepath": val_path}
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST, gen_kwargs={"filepath": test_path}
-            ),
-        ]
-    
-    def _generate_examples(self, filepath):
-        """Generate PatentClassification examples."""
-        with open(filepath, encoding="utf-8") as f:
-            for id_, row in enumerate(f):
-                data = json.loads(row)
-                label = self._LABELS_DICT[data["label"]]
-
-                if self.config.name == "abstract":
-                    text = data["abstract"]
-                else:
-                    text = data["description"]
-                yield id_, {"text": text, "label": label}

patent/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d52a3aa7829e35a1da254c5e849ebf4275602a03aeecb37ea174f6e7f988f4fc
+size 39091297

patent/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:104e2188980f4a104ab3920b58da17b3d039cde551489a1e29179fac813e04a9
+size 194413762

patent/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:71e0515ecbb4e990b86d8c4b16f275c32493f885965dc54c527b9926e15c2922
+size 39461192