Delete afrisenti.py

afrisenti.py

@@ -1,122 +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.
-
-
-import csv
-import textwrap
-import pandas as pd
-
-import datasets
-
-LANGUAGES = ['amh', 'hau', 'ibo', 'arq', 'ary', 'yor', 'por', 'twi', 'tso', 'tir', 'orm', 'pcm', 'kin', 'swa']
-
-class AfriSentiConfig(datasets.BuilderConfig):
-    """BuilderConfig for AfriSenti"""
-
-    def __init__(
-        self,
-        text_features,
-        label_column,
-        label_classes,
-        train_url,
-        valid_url,
-        test_url,
-        citation,
-        **kwargs,
-    ):
-        """BuilderConfig for AfriSenti.
-
-        Args:
-          text_features: `dict[string]`, map from the name of the feature
-            dict for each text field to the name of the column in the txt/csv/tsv file
-          label_column: `string`, name of the column in the txt/csv/tsv file corresponding
-            to the label
-          label_classes: `list[string]`, the list of classes if the label is categorical
-          train_url: `string`, url to train file from
-          valid_url: `string`, url to valid file from
-          test_url: `string`, url to test file from
-          citation: `string`, citation for the data set
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(AfriSentiConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
-        self.text_features = text_features
-        self.label_column = label_column
-        self.label_classes = label_classes
-        self.train_url = train_url
-        self.valid_url = valid_url
-        self.test_url = test_url
-        self.citation = citation
-
-
-class AfriSenti(datasets.GeneratorBasedBuilder):
-    """AfriSenti benchmark"""
-
-    BUILDER_CONFIGS = []
-
-    for lang in LANGUAGES:
-        BUILDER_CONFIGS.append(
-            AfriSentiConfig(
-                name=lang,
-                description=textwrap.dedent(
-                    f"""\
-                    {lang} dataset."""
-                ),
-                text_features={"tweet": "tweet"},
-                label_classes=["positive", "neutral", "negative"],
-                label_column="label",
-                train_url=f"https://raw.githubusercontent.com/afrisenti-semeval/afrisent-semeval-2023/main/data/{lang}/train.tsv",
-                valid_url=f"https://raw.githubusercontent.com/afrisenti-semeval/afrisent-semeval-2023/main/data/{lang}/valid.tsv",
-                test_url=f"https://raw.githubusercontent.com/afrisenti-semeval/afrisent-semeval-2023/main/data/{lang}/test.tsv",
-                citation=textwrap.dedent(
-                    f"""\
-                {lang} citation"""
-                ),
-            ),
-        )
-
-    def _info(self):
-        features = {text_feature: datasets.Value("string") for text_feature in self.config.text_features}
-        features["label"] = datasets.features.ClassLabel(names=self.config.label_classes)
-
-        return datasets.DatasetInfo(
-            description=self.config.description,
-            features=datasets.Features(features),
-            citation=self.config.citation,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        train_path = dl_manager.download_and_extract(self.config.train_url)
-        valid_path = dl_manager.download_and_extract(self.config.valid_url)
-        test_path = dl_manager.download_and_extract(self.config.test_url)
-        
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path, "split": "train"}),
-            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": valid_path, "split": "dev"}),
-            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test_path, "split": "test"}),
-        ]
-
-    def _generate_examples(self, filepath):
-        df = pd.read_csv(filepath, sep='\t')
-
-        print('-'*100)
-        print(df.head())
-        print('-'*100)
-
-        for id_, row in df.iterrows():
-            tweet = row["tweet"]
-            label = row["label"]
-
-            yield id_, {"tweet": tweet, "label": label}