Update parquet files

UBBDemo/ubb-endava-conll-assistant-ner-only-misc-v2-test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:38c7c76dc724d072de1436cc8b0963619fb8d69ca24c95231a11e54c236c63fb
+size 213283

UBBDemo/ubb-endava-conll-assistant-ner-only-misc-v2-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8a0e1a25bf939aedac9bb3c7bb198e614e9301b15d7e624f9753d66d174016c7
+size 711207

UBBDemo/ubb-endava-conll-assistant-ner-only-misc-v2-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e9cc77708bd98ad452a41e9338a4b6fd926d088a684b90ebcf2d311d73866f06
+size 203214

ubb-endava-conll-assistant-ner-only-misc-v2.py

@@ -1,130 +0,0 @@
-# coding=utf-8
-# Copyright 2020 HuggingFace Datasets Authors.
-#
-# 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
-
-
-import os
-
-import datasets
-
-
-logger = datasets.logging.get_logger(__name__)
-
-
-_CITATION = ""
-
-_DESCRIPTION = ""
-
-#_URL = "."
-_TRAINING_FILE = "train.txt"
-_DEV_FILE = "validation.txt"
-_TEST_FILE = "test.txt"
-
-
-class UBBDemoConfig(datasets.BuilderConfig):
-    """BuilderConfig for UBBDemo"""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig for UBBDemo.
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(UBBDemoConfig, self).__init__(**kwargs)
-
-
-class UBBDemo(datasets.GeneratorBasedBuilder):
-    """UBBDemo dataset."""
-
-    BUILDER_CONFIGS = [
-        UBBDemoConfig(name="UBBDemo", version=datasets.Version("1.0.0"), description="UBBDemo 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,
-            homepage="",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        
-        path = "./"
-        data_files = {
-            "train": os.path.join(path, _TRAINING_FILE),
-            "validation": os.path.join(path, _DEV_FILE),
-            "test": os.path.join(path, _TEST_FILE),
-        }
-
-        downloaded_file = dl_manager.download_and_extract(data_files)
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_file ["train"]}),
-            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_file ["validation"]}),
-            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_file ["test"]}),
-        ]
-
-    def _generate_examples(self, filepath):
-        print("I am here" + 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.startswith("-DOCSTART-") or line == "" or line == "\n":
-                    if tokens:
-                        yield guid, {
-                            "id": str(guid),
-                            "tokens": tokens,
-                            "ner_tags": ner_tags,
-                        }
-                        guid += 1
-                        tokens = []
-                        ner_tags = []
-                else:
-                    # UBBDemo tokens are space separated
-                    splits = line.split(" ")
-                    tokens.append(splits[0])
-                    ner_tags.append(splits[3].rstrip())
-            # last example
-            yield guid, {
-                "id": str(guid),
-                "tokens": tokens,
-                "ner_tags": ner_tags,
-            }