Initial commit

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+data/train.json filter=lfs diff=lfs merge=lfs -text
+data/valid.json filter=lfs diff=lfs merge=lfs -text
+data/test.json filter=lfs diff=lfs merge=lfs -text

.gitignore

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+.DS_Store

conll2003-sk-ner.py

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+# coding=utf-8
+#
+# 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.
+
+# Lint as: python3
+"""Introduction to the CoNLL-2003-SK-NER Shared Task: Slovak Named Entity Recognition"""
+
+import datasets
+import json
+
+
+logger = datasets.logging.get_logger(__name__)
+
+
+
+
+_DESCRIPTION = """\
+This is translated version of the original CONLL2003 dataset (translated from English to Slovak via Google translate) Annotation was done mostly automatically with word matching scripts. Records where some tags were not matched, were annotated manually (10%) Unlike the original Conll2003 dataset, this one contains only NER tags
+"""
+
+_URL="/data/"
+#_URL = "https://github.com/ju-bezdek/conll2003-sk-ner/raw/master/data/"
+_TRAINING_FILE = "train.json"
+_DEV_FILE = "valid.json"
+_TEST_FILE = "test.json"
+
+
+class Conll2003_SK_NER_Config(datasets.BuilderConfig):
+    
+
+    def __init__(self, **kwargs):
+        super(Conll2003_SK_NER_Config, self).__init__(**kwargs)
+
+
+class Conll2003(datasets.GeneratorBasedBuilder):
+    """Conll2003 dataset."""
+
+    BUILDER_CONFIGS = [
+        Conll2003_SK_NER_Config(name="conll2003-SK-NER", version=datasets.Version("1.0.0"), description="Conll2003-SK-NER 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=[
+                                "O",
+                                "B-PER",
+                                "I-PER",
+                                "B-ORG",
+                                "I-ORG",
+                                "B-LOC",
+                                "I-LOC",
+                                "B-MISC",
+                                "I-MISC",
+                            ]
+                        )
+                    ),
+                }
+            ),
+            supervised_keys=None,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        urls_to_download = {
+            "train": f"{_URL}{_TRAINING_FILE}",
+            "dev": f"{_URL}{_DEV_FILE}",
+            "test": f"{_URL}{_TEST_FILE}",
+        }
+        downloaded_files = dl_manager.download_and_extract(urls_to_download)
+
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
+        ]
+
+    def _generate_examples(self, filepath):
+        logger.info("⏳ Generating examples from = %s", filepath)
+        with open(filepath, encoding="utf-8") as f:
+            guid = 0
+            for line in f:  
+                record = json.loads(line)   
+                yield guid, record
+                guid += 1
+            
+           

data/test.json

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+oid sha256:b0280959ea836976f2f0c8db8fdf5cb1b680f5e872cc4b9716339de8dc2a02ff
+size 650684

data/train.json

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+oid sha256:f4fe71debdfc0db1f3485bbcdb97b84086711956e235b5cd2c6d9a82fdfc5db6
+size 2680237

data/valid.json

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+oid sha256:ea36d887933c6b0420399f940a878fbcc49b190ff4e1cade785c700c59d2ec5c
+size 702155

dataset_infos.json

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+{"conll2003-SK-NER": {"description": "This is translated version of the original CONLL2003 dataset (translated from English to Slovak via Google translate) Annotation was done mostly automatically with word matching scripts. Records where some tags were not matched, were annotated manually (10%) Unlike the original Conll2003 dataset, this one contains only NER tags\n", "citation": "", "homepage": "", "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": ["O", "B-PER", "I-PER", "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, "task_templates": null, "builder_name": "conll2003", "config_name": "conll2003-SK-NER", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3333648, "num_examples": 14041, "dataset_name": "conll2003"}, "validation": {"name": "validation", "num_bytes": 927447, "num_examples": 3250, "dataset_name": "conll2003"}, "test": {"name": "test", "num_bytes": 853542, "num_examples": 3453, "dataset_name": "conll2003"}}, "download_checksums": {"https://github.com/ju-bezdek/conll2003-sk-ner/raw/master/data/train.json": {"num_bytes": 2680237, "checksum": "f4fe71debdfc0db1f3485bbcdb97b84086711956e235b5cd2c6d9a82fdfc5db6"}, "https://github.com/ju-bezdek/conll2003-sk-ner/raw/master/data/valid.json": {"num_bytes": 702155, "checksum": "ea36d887933c6b0420399f940a878fbcc49b190ff4e1cade785c700c59d2ec5c"}, "https://github.com/ju-bezdek/conll2003-sk-ner/raw/master/data/test.json": {"num_bytes": 650684, "checksum": "b0280959ea836976f2f0c8db8fdf5cb1b680f5e872cc4b9716339de8dc2a02ff"}}, "download_size": 4033076, "post_processing_size": null, "dataset_size": 5114637, "size_in_bytes": 9147713}}

readme.md

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+---
+annotations_creators:
+- machine-generated
+- expert-generated
+language_creators:
+- found
+languages:
+- sk
+licenses:
+- unknown
+multilinguality:
+- monolingual
+pretty_name: 'conll-2003-sk-ner'
+size_categories:
+- 10K<n<100K
+source_datasets:
+- extended|conll2003
+task_categories:
+- structure-prediction
+task_ids:
+- named-entity-recognition
+- part-of-speech-tagging
+---
+
+# Dataset Card for [Dataset Name]
+
+## Table of Contents
+- [Dataset Card for [Dataset Name]](#dataset-card-for-dataset-name)
+  - [Table of Contents](#table-of-contents)
+  - [Dataset Description](#dataset-description)
+    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+    - [Languages](#languages)
+  - [Dataset Structure](#dataset-structure)
+    - [Data Splits](#data-splits)
+  - [Dataset Creation](#dataset-creation)
+    - [Source Data](#source-data)
+    - [Annotations](#annotations)
+      - [Annotation process](#annotation-process)
+
+
+
+
+## Dataset Description
+This is translated version of the original CONLL2003 dataset (translated from English to Slovak via Google translate) Annotation was done mostly automatically with word matching scripts. Records where some tags were not matched, were annotated manually (10%) Unlike the original Conll2003 dataset, this one contains only NER tags
+
+- **Point of Contact: [@ju-bezdek](https://github.com/ju-bezdek) **
+
+
+### Supported Tasks and Leaderboards
+
+NER
+
+labels:
+
+- 0: O
+- 1: B-PER
+- 2: I-PER
+- 3: B-ORG
+- 4: I-ORG
+- 5: B-LOC
+- 6: I-LOC
+- 7: B-MISC
+- 8: I-MISC
+
+### Languages
+
+sk
+
+## Dataset Structure
+
+### Data Splits
+
+train, test, val
+
+## Dataset Creation
+
+### Source Data
+https://huggingface.co/datasets/conll2003
+
+### Annotations
+
+#### Annotation process
+
+- Machine Translation
+- Machine pairing tags with reverse translation, and hardcoded rules (including phrase regex matching etc.)
+- Manual annotation of records that couldn't be automatically matched