Update parquet files

.gitattributes

@@ -1,27 +0,0 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bin.* filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zstandard filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,19 +0,0 @@
----
-annotations_creators:
-- crowdsourced
-language:
-- en
-language_creators:
-- crowdsourced
-license: []
-multilinguality:
-- monolingual
-pretty_name: ethics
-size_categories:
-- unknown
-source_datasets: []
-tags: []
-task_categories:
-- text-classification
-task_ids: []
----

airline-sentiment/crowdflower-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8ac4de0751b922c69a930974a85a386479a988304e22749131f2bcdb621a47cf
+size 1063840

corporate-messaging/crowdflower-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:397efe8756cdc747250f033488330cfff5439b9112373cbffbe6a3aa735a0745
+size 244809

crowdflower.py

@@ -1,210 +0,0 @@
-# coding=utf-8
-# Copyright 2020 The TensorFlow Datasets Authors and the 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
-"""Crowdflower datasets"""
-
-from __future__ import absolute_import, division, print_function
-
-import csv
-import os
-import textwrap
-
-import six
-
-import datasets
-
-
-_crowdflower_CITATION = r"""
-@inproceedings{van2012designing,
-  title={Designing a scalable crowdsourcing platform},
-  author={Van Pelt, Chris and Sorokin, Alex},
-  booktitle={Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data},
-  pages={765--766},
-  year={2012}
-}
-"""
-
-_crowdflower_DESCRIPTION = """
-Collection of crowdflower classification datasets
-"""
-
-DATA_URL = "https://www.dropbox.com/s/ldrcdsv8d9qiwg0/crowdflower.zip?dl=1"
-
-TASK_TO_LABELS = {'airline-sentiment': ['neutral', 'positive', 'negative'],
- 'corporate-messaging': ['Information', 'Action', 'Exclude', 'Dialogue'],
- 'economic-news': ['not sure', 'yes', 'no'],
- 'political-media-audience': ['constituency', 'national'],
- 'political-media-bias': ['partisan', 'neutral'],
- 'political-media-message': ['information',
-  'support',
-  'policy',
-  'constituency',
-  'personal',
-  'other',
-  'media',
-  'mobilization',
-  'attack'],
- 'sentiment_nuclear_power': ['Neutral / author is just sharing information',
-  'Negative',
-  'Tweet NOT related to nuclear energy',
-  'Positive'],
- 'text_emotion': ['sadness',
-  'empty',
-  'relief',
-  'hate',
-  'worry',
-  'enthusiasm',
-  'happiness',
-  'neutral',
-  'love',
-  'fun',
-  'anger',
-  'surprise',
-  'boredom'],
- 'tweet_global_warming': ['Yes', 'No']}
-
-def get_labels(task):
-    return TASK_TO_LABELS[task]
-
-class crowdflowerConfig(datasets.BuilderConfig):
-    """BuilderConfig for crowdflower."""
-
-    def __init__(
-        self,
-        text_features,
-        label_classes=None,
-        process_label=lambda x: x,
-        **kwargs,
-    ):
-        """BuilderConfig for crowdflower.
-        Args:
-          text_features: `dict[string, string]`, map from the name of the feature
-            dict for each text field to the name of the column in the tsv file
-          label_column: `string`, name of the column in the tsv file corresponding
-            to the label
-          data_url: `string`, url to download the zip file from
-          data_dir: `string`, the path to the folder containing the tsv files in the
-            downloaded zip
-          citation: `string`, citation for the data set
-          url: `string`, url for information about the data set
-          label_classes: `list[string]`, the list of classes if the label is
-            categorical. If not provided, then the label will be of type
-            `datasets.Value('float32')`.
-          process_label: `Function[string, any]`, function  taking in the raw value
-            of the label and processing it to the form required by the label feature
-          **kwargs: keyword arguments forwarded to super.
-        """
-
-        super(crowdflowerConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
-
-        self.text_features = text_features
-        self.label_column = "label"
-        self.label_classes = get_labels(self.name)
-        self.data_url = DATA_URL
-        self.data_dir = os.path.join("crowdflower", self.name)
-        self.citation = textwrap.dedent(_crowdflower_CITATION)
-        def process_label(x):
-            x=str(x)
-            if x=="Y":
-                return "Yes"
-            if x=="N":
-                return "No"
-            return x
-        self.process_label = process_label
-        self.description = ""
-        self.url = ""
-
-
-class crowdflower(datasets.GeneratorBasedBuilder):
-
-    """The General Language Understanding Evaluation (crowdflower) benchmark."""
-
-    BUILDER_CONFIG_CLASS = crowdflowerConfig
-
-    BUILDER_CONFIGS = [
-    crowdflowerConfig(name="sentiment_nuclear_power",
-                        text_features={"text": "text"},),
-    crowdflowerConfig(name="tweet_global_warming",
-                        text_features={"text": "text"},),
-    crowdflowerConfig(name="airline-sentiment",
-                        text_features={"text": "text"},),
-    crowdflowerConfig(name="corporate-messaging",
-                        text_features={"text": "text"},),
-    crowdflowerConfig(name="economic-news",
-                        text_features={"text": "text"},),
-    crowdflowerConfig(name="political-media-audience",
-                        text_features={"text": "text"},),
-    crowdflowerConfig(name="political-media-bias",
-                        text_features={"text": "text"},),
-    crowdflowerConfig(name="political-media-message",
-                        text_features={"text": "text"},),
-    crowdflowerConfig(name="text_emotion",
-                        text_features={"text": "text"},),
-    ]
-
-    def _info(self):
-        features = {text_feature: datasets.Value("string") for text_feature in six.iterkeys(self.config.text_features)}
-        if self.config.label_classes:
-            features["label"] = datasets.features.ClassLabel(names=self.config.label_classes)
-        else:
-            features["label"] = datasets.Value("float32")
-        features["idx"] = datasets.Value("int32")
-        return datasets.DatasetInfo(
-            description=_crowdflower_DESCRIPTION,
-            features=datasets.Features(features),
-            homepage=self.config.url,
-            citation=self.config.citation + "\n" + _crowdflower_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        dl_dir = dl_manager.download_and_extract(self.config.data_url)
-        data_dir = os.path.join(dl_dir, self.config.data_dir)
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "data_file": os.path.join(data_dir or "", "train.tsv"),
-                    "split": "train",
-                },
-            ),
-        ]
-
-    def _generate_examples(self, data_file, split):
-
-        process_label = self.config.process_label
-        label_classes = self.config.label_classes
-
-        with open(data_file, encoding="latin-1") as f:
-            reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
-
-            for n, row in enumerate(reader):
-
-                example = {feat: row[col] for feat, col in six.iteritems(self.config.text_features)}
-                example["idx"] = n
-                #print(row)
-
-                if self.config.label_column in row:
-                    label = row[self.config.label_column]
-                    label = process_label(label)
-                    if label_classes and label not in label_classes:
-                        continue
-                    example["label"] = label
-                else:
-                    example["label"] = process_label(-1)
-                if not example["label"] or not example["text"]:
-                    continue
-                yield example["idx"], example

economic-news/crowdflower-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e9923e3d7d3acd8b06425232a7b3feddd68c89746330ff863b7a249195f69476
+size 6702557

political-media-audience/crowdflower-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bb768c3512188bce56161d3a96a5b3c9ea31e1e7a807d868364f5a43f5bcacb3
+size 721872

political-media-bias/crowdflower-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:38f3b7802c6c1789b08e19921834c098d635c1fac35f9bfcb6238e54f1ddf077
+size 721839

political-media-message/crowdflower-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:077dec4dc538681143ba3879394696f27b8076d22ac0fb46a45a777c29015563
+size 723969

sentiment_nuclear_power/crowdflower-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f21f04d6c01f85830d4a3e43e0745350a1145f5bd51eae4f2c12b315c546518
+size 16533

text_emotion/crowdflower-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f9f645f19f80d0a2544e97a2b6ae70777f66b6e5b5463f060ebc9559fddfe828
+size 2623315

tweet_global_warming/crowdflower-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5e3a126c59f1942a391813e411d1ed42542a0f84ef5ddd51d2052578df68b1c2
+size 296520