Convert dataset to Parquet (#3)

- Convert dataset to Parquet (ce8321feacb59ce4c67712520cfea08b2ec67642)
- Delete loading script (e40acfd34d85b4a061a352a1caac5978d91d8975)

README.md

@@ -20,6 +20,7 @@ task_ids:
 pretty_name: Sepedi NER Corpus
 license_details: Creative Commons Attribution 2.5 South Africa License
 dataset_info:
+  config_name: sepedi_ner
   features:
   - name: id
     dtype: string
@@ -38,13 +39,18 @@ dataset_info:
           '6': I-LOC
           '7': B-MISC
           '8': I-MISC
-  config_name: sepedi_ner
   splits:
   - name: train
-    num_bytes: 3378134
+    num_bytes: 3378118
     num_examples: 7117
-  download_size: 22077376
-  dataset_size: 3378134
+  download_size: 716489
+  dataset_size: 3378118
+configs:
+- config_name: sepedi_ner
+  data_files:
+  - split: train
+    path: sepedi_ner/train-*
+  default: true
 ---
 
 # Dataset Card for Sepedi NER Corpus

sepedi_ner.py

@@ -1,136 +0,0 @@
-# coding=utf-8
-# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-""" Named entity annotated data from the NCHLT Text Resource Development: Phase II Project for Sepedi"""
-
-
-import os
-
-import datasets
-
-
-logger = datasets.logging.get_logger(__name__)
-
-
-_CITATION = """\
-@inproceedings{sepedi_ner,
-  author    = {D.J. Prinsloo and
-              Roald Eiselen},
-  title     = {NCHLT Sepedi Named Entity Annotated Corpus},
-  booktitle = {Eiselen, R. 2016. Government domain named entity recognition for South African languages. Proceedings of the 10th      Language Resource and Evaluation Conference, Portorož, Slovenia.},
-  year      = {2016},
-  url       = {https://repo.sadilar.org/handle/20.500.12185/328},
-}
-"""
-
-_DESCRIPTION = """\
-Named entity annotated data from the NCHLT Text Resource Development: Phase II Project, annotated with PERSON, LOCATION, ORGANISATION and MISCELLANEOUS tags.
-"""
-
-_URL = "https://repo.sadilar.org/bitstream/handle/20.500.12185/328/nchlt_sepedi_named_entity_annotated_corpus.zip?sequence=3&isAllowed=y"
-
-_EXTRACTED_FILE = "NCHLT Sepedi Named Entity Annotated Corpus/Dataset.NCHLT-II.NSO.NER.Full.txt"
-
-_HOMEPAGE = "https://repo.sadilar.org/handle/20.500.12185/328"
-
-_LICENCE = "Creative Commons Attribution 2.5 South Africa License"
-
-
-class SepediNerConfig(datasets.BuilderConfig):
-    """BuilderConfig for SepediNer"""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig for SepediNer.
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(SepediNerConfig, self).__init__(**kwargs)
-
-
-class SepediNer(datasets.GeneratorBasedBuilder):
-    """Sepedi Ner dataset"""
-
-    BUILDER_CONFIGS = [
-        SepediNerConfig(
-            name="sepedi_ner",
-            version=datasets.Version("1.0.0"),
-            description="SepediNer dataset",
-        ),
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "tokens": datasets.Sequence(datasets.Value("string")),
-                    "ner_tags": datasets.Sequence(
-                        datasets.features.ClassLabel(
-                            names=[
-                                "OUT",
-                                "B-PERS",
-                                "I-PERS",
-                                "B-ORG",
-                                "I-ORG",
-                                "B-LOC",
-                                "I-LOC",
-                                "B-MISC",
-                                "I-MISC",
-                            ]
-                        )
-                    ),
-                }
-            ),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENCE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        data_dir = dl_manager.download_and_extract(_URL)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": os.path.join(data_dir, _EXTRACTED_FILE)},
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        logger.info("⏳ Generating examples from = %s", filepath)
-        with open(filepath, encoding="utf-8") as f:
-            guid = 0
-            tokens = []
-            ner_tags = []
-            for line in f:
-                if line == "" or line == "\n":
-                    if tokens:
-                        yield guid, {
-                            "id": str(guid),
-                            "tokens": tokens,
-                            "ner_tags": ner_tags,
-                        }
-                        guid += 1
-                        tokens = []
-                        ner_tags = []
-                else:
-                    splits = line.split("\t")
-                    tokens.append(splits[0])
-                    ner_tags.append(splits[1].rstrip())
-            yield guid, {
-                "id": str(guid),
-                "tokens": tokens,
-                "ner_tags": ner_tags,
-            }

sepedi_ner/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:61320106f2457701d3c74dc2ded5681c23a269eb8dfb1d6f90710f9a4cf300c9
+size 716489