Convert dataset to Parquet (#2)

- Convert dataset to Parquet (87ad41fb028daf6ea10f761015a5dbcf3bf4317d)
- Delete loading script (d08fe25039d0b99bb6857e0c14be15fa4cff5a4e)
- Delete legacy dataset_infos.json (ed5b3909d749022171a6019343054dc1847ee3cf)

README.md

@@ -20,6 +20,7 @@ task_ids:
 pretty_name: Afrikaans Ner Corpus
 license_details: Creative Commons Attribution 2.5 South Africa License
 dataset_info:
+  config_name: afrikaans_ner_corpus
   features:
   - name: id
     dtype: string
@@ -38,13 +39,18 @@ dataset_info:
           '6': I-LOC
           '7': B-MISC
           '8': I-MISC
-  config_name: afrikaans_ner_corpus
   splits:
   - name: train
-    num_bytes: 4025667
+    num_bytes: 4025651
     num_examples: 8962
-  download_size: 25748344
-  dataset_size: 4025667
+  download_size: 944804
+  dataset_size: 4025651
+configs:
+- config_name: afrikaans_ner_corpus
+  data_files:
+  - split: train
+    path: afrikaans_ner_corpus/train-*
+  default: true
 ---
 
 # Dataset Card for Afrikaans Ner Corpus

afrikaans_ner_corpus.py

@@ -1,135 +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 Afrikaans"""
-
-
-import os
-
-import datasets
-
-
-logger = datasets.logging.get_logger(__name__)
-
-
-_CITATION = """\
-@inproceedings{afrikaans_ner_corpus,
-  author    = {	Gerhard van Huyssteen and
-                Martin Puttkammer and
-                E.B. Trollip and
-                J.C. Liversage and
-              Roald Eiselen},
-  title     = {NCHLT Afrikaans 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/20.500.12185/299},
-}
-"""
-
-_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/20.500.12185/299/nchlt_afrikaans_named_entity_annotated_corpus.zip?sequence=3&isAllowed=y"
-
-
-_EXTRACTED_FILE = "NCHLT Afrikaans Named Entity Annotated Corpus/Dataset.NCHLT-II.AF.NER.Full.txt"
-
-
-class AfrikaansNerCorpusConfig(datasets.BuilderConfig):
-    """BuilderConfig for AfrikaansNerCorpus"""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig for AfrikaansNerCorpus.
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(AfrikaansNerCorpusConfig, self).__init__(**kwargs)
-
-
-class AfrikaansNerCorpus(datasets.GeneratorBasedBuilder):
-    """Afrikaans Ner dataset"""
-
-    BUILDER_CONFIGS = [
-        AfrikaansNerCorpusConfig(
-            name="afrikaans_ner_corpus",
-            version=datasets.Version("1.0.0"),
-            description="AfrikaansNerCorpus 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="https://repo.sadilar.org/handle/20.500.12185/299",
-            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,
-            }

afrikaans_ner_corpus/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aaee22630406daa12b3f9444f5a555b919b0ffc880764fedc1fed36514fe3881
+size 944804

dataset_infos.json

@@ -1 +0,0 @@
-{"afrikaans_ner_corpus": {"description": "Named entity annotated data from the NCHLT Text Resource Development: Phase II Project, annotated with PERSON, LOCATION, ORGANISATION and MISCELLANEOUS tags.\n", "citation": "@inproceedings{afrikaans_ner_corpus,\n  author    = {\tGerhard van Huyssteen and\n                Martin Puttkammer and\n                E.B. Trollip and\n                J.C. Liversage and\n              Roald Eiselen},\n  title     = {NCHLT Afrikaans Named Entity Annotated Corpus},\n  booktitle = {Eiselen, R. 2016. Government domain named entity recognition for South African languages. Proceedings of the 10th      Language Resource and Evaluation Conference, Portoro\u017e, Slovenia.},\n  year      = {2016},\n  url       = {https://repo.sadilar.org/handle/20.500.12185/299},\n}\n", "homepage": "https://repo.sadilar.org/handle/20.500.12185/299", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ner_tags": {"feature": {"num_classes": 9, "names": ["OUT", "B-PERS", "I-PERS", "B-ORG", "I-ORG", "B-LOC", "I-LOC", "B-MISC", "I-MISC"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "afrikaans_ner_corpus", "config_name": "afrikaans_ner_corpus", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 4025667, "num_examples": 8962, "dataset_name": "afrikaans_ner_corpus"}}, "download_checksums": {"https://repo.sadilar.org/bitstream/handle/20.500.12185/299/nchlt_afrikaans_named_entity_annotated_corpus.zip?sequence=3&isAllowed=y": {"num_bytes": 25748344, "checksum": "cd609b86c1ab5505f24a5a2ca8b2ceb023fcd779b86ecf94c467b7f085c80ed9"}}, "download_size": 25748344, "post_processing_size": null, "dataset_size": 4025667, "size_in_bytes": 29774011}}