Convert dataset to Parquet (#4)

- Convert dataset to Parquet (bf446c28e394d34942439ece305066d8e000cc4b)
- Add emotion data files (2d948f1722cd37b0958acedbbb4c50df5d3783d0)
- Add hate data files (02a5ceb555b982fa24beb13722977f1b64013039)
- Add irony data files (d0b81754adc6f44a439a2866dada5a1f0f1b55f6)
- Add offensive data files (9b98abef0b187e34801efc69f20641e9b60a0961)
- Add sentiment data files (6fe62d6334fb7f8197508d057f6351333dbe7646)
- Add stance_abortion data files (55864a3201f347e9edfac045e7f772eb2c0ee801)
- Add stance_atheism data files (449c8d551b86ba45c3c37b511f1f8d7ea91ec3ec)
- Add stance_climate data files (ff01bee78da3a8ec1c5ab3bf7d9d4c8f5121f24f)
- Add stance_feminist data files (5ea3f6097320422a56ac6677a992bb34fd58420f)
- Add stance_hillary data files (c460af45e62a2692f21d9755cfe8b3b9de801b4a)
- Delete loading script (68be50101769462a8a0b5fa46572a84b7d78d72e)
- Delete legacy dataset_infos.json (684f8540f99a7aad647599b97a3219ddc2801c0a)

README.md

@@ -24,6 +24,18 @@ task_ids:
 - sentiment-classification
 paperswithcode_id: tweeteval
 pretty_name: TweetEval
+config_names:
+- emoji
+- emotion
+- hate
+- irony
+- offensive
+- sentiment
+- stance_abortion
+- stance_atheism
+- stance_climate
+- stance_feminist
+- stance_hillary
 dataset_info:
 - config_name: emoji
   features:
@@ -55,16 +67,16 @@ dataset_info:
           '19': 😜
   splits:
   - name: train
-    num_bytes: 3803187
+    num_bytes: 3803167
     num_examples: 45000
   - name: test
-    num_bytes: 4255921
+    num_bytes: 4255901
     num_examples: 50000
   - name: validation
-    num_bytes: 396083
+    num_bytes: 396079
     num_examples: 5000
-  download_size: 7628721
-  dataset_size: 8455191
+  download_size: 5939308
+  dataset_size: 8455147
 - config_name: emotion
   features:
   - name: text
@@ -79,16 +91,16 @@ dataset_info:
           '3': sadness
   splits:
   - name: train
-    num_bytes: 338875
+    num_bytes: 338871
     num_examples: 3257
   - name: test
-    num_bytes: 146649
+    num_bytes: 146645
     num_examples: 1421
   - name: validation
-    num_bytes: 38277
+    num_bytes: 38273
     num_examples: 374
-  download_size: 483813
-  dataset_size: 523801
+  download_size: 367016
+  dataset_size: 523789
 - config_name: hate
   features:
   - name: text
@@ -101,16 +113,16 @@ dataset_info:
           '1': hate
   splits:
   - name: train
-    num_bytes: 1223654
+    num_bytes: 1223650
     num_examples: 9000
   - name: test
-    num_bytes: 428938
+    num_bytes: 428934
     num_examples: 2970
   - name: validation
-    num_bytes: 154148
+    num_bytes: 154144
     num_examples: 1000
-  download_size: 1703208
-  dataset_size: 1806740
+  download_size: 1196346
+  dataset_size: 1806728
 - config_name: irony
   features:
   - name: text
@@ -123,16 +135,16 @@ dataset_info:
           '1': irony
   splits:
   - name: train
-    num_bytes: 259191
+    num_bytes: 259187
     num_examples: 2862
   - name: test
-    num_bytes: 75901
+    num_bytes: 75897
     num_examples: 784
   - name: validation
-    num_bytes: 86021
+    num_bytes: 86017
     num_examples: 955
-  download_size: 385613
-  dataset_size: 421113
+  download_size: 297647
+  dataset_size: 421101
 - config_name: offensive
   features:
   - name: text
@@ -145,16 +157,16 @@ dataset_info:
           '1': offensive
   splits:
   - name: train
-    num_bytes: 1648069
+    num_bytes: 1648061
     num_examples: 11916
   - name: test
-    num_bytes: 135477
+    num_bytes: 135473
     num_examples: 860
   - name: validation
-    num_bytes: 192421
+    num_bytes: 192417
     num_examples: 1324
-  download_size: 1863383
-  dataset_size: 1975967
+  download_size: 1234528
+  dataset_size: 1975951
 - config_name: sentiment
   features:
   - name: text
@@ -168,16 +180,16 @@ dataset_info:
           '2': positive
   splits:
   - name: train
-    num_bytes: 5425142
+    num_bytes: 5425122
     num_examples: 45615
   - name: test
-    num_bytes: 1279548
+    num_bytes: 1279540
     num_examples: 12284
   - name: validation
-    num_bytes: 239088
+    num_bytes: 239084
     num_examples: 2000
-  download_size: 6465841
-  dataset_size: 6943778
+  download_size: 4849675
+  dataset_size: 6943746
 - config_name: stance_abortion
   features:
   - name: text
@@ -191,16 +203,16 @@ dataset_info:
           '2': favor
   splits:
   - name: train
-    num_bytes: 68698
+    num_bytes: 68694
     num_examples: 587
   - name: test
-    num_bytes: 33175
+    num_bytes: 33171
     num_examples: 280
   - name: validation
-    num_bytes: 7661
+    num_bytes: 7657
     num_examples: 66
-  download_size: 102062
-  dataset_size: 109534
+  download_size: 73517
+  dataset_size: 109522
 - config_name: stance_atheism
   features:
   - name: text
@@ -214,16 +226,16 @@ dataset_info:
           '2': favor
   splits:
   - name: train
-    num_bytes: 54779
+    num_bytes: 54775
     num_examples: 461
   - name: test
-    num_bytes: 25720
+    num_bytes: 25716
     num_examples: 220
   - name: validation
-    num_bytes: 6324
+    num_bytes: 6320
     num_examples: 52
-  download_size: 80947
-  dataset_size: 86823
+  download_size: 62265
+  dataset_size: 86811
 - config_name: stance_climate
   features:
   - name: text
@@ -237,16 +249,16 @@ dataset_info:
           '2': favor
   splits:
   - name: train
-    num_bytes: 40253
+    num_bytes: 40249
     num_examples: 355
   - name: test
-    num_bytes: 19929
+    num_bytes: 19925
     num_examples: 169
   - name: validation
-    num_bytes: 4805
+    num_bytes: 4801
     num_examples: 40
-  download_size: 60463
-  dataset_size: 64987
+  download_size: 48493
+  dataset_size: 64975
 - config_name: stance_feminist
   features:
   - name: text
@@ -260,16 +272,16 @@ dataset_info:
           '2': favor
   splits:
   - name: train
-    num_bytes: 70513
+    num_bytes: 70509
     num_examples: 597
   - name: test
-    num_bytes: 33309
+    num_bytes: 33305
     num_examples: 285
   - name: validation
-    num_bytes: 8039
+    num_bytes: 8035
     num_examples: 67
-  download_size: 104257
-  dataset_size: 111861
+  download_size: 76345
+  dataset_size: 111849
 - config_name: stance_hillary
   features:
   - name: text
@@ -283,16 +295,105 @@ dataset_info:
           '2': favor
   splits:
   - name: train
-    num_bytes: 69600
+    num_bytes: 69596
     num_examples: 620
   - name: test
-    num_bytes: 34491
+    num_bytes: 34487
     num_examples: 295
   - name: validation
-    num_bytes: 7536
+    num_bytes: 7532
     num_examples: 69
-  download_size: 103745
-  dataset_size: 111627
+  download_size: 74057
+  dataset_size: 111615
+configs:
+- config_name: emoji
+  data_files:
+  - split: train
+    path: emoji/train-*
+  - split: test
+    path: emoji/test-*
+  - split: validation
+    path: emoji/validation-*
+- config_name: emotion
+  data_files:
+  - split: train
+    path: emotion/train-*
+  - split: test
+    path: emotion/test-*
+  - split: validation
+    path: emotion/validation-*
+- config_name: hate
+  data_files:
+  - split: train
+    path: hate/train-*
+  - split: test
+    path: hate/test-*
+  - split: validation
+    path: hate/validation-*
+- config_name: irony
+  data_files:
+  - split: train
+    path: irony/train-*
+  - split: test
+    path: irony/test-*
+  - split: validation
+    path: irony/validation-*
+- config_name: offensive
+  data_files:
+  - split: train
+    path: offensive/train-*
+  - split: test
+    path: offensive/test-*
+  - split: validation
+    path: offensive/validation-*
+- config_name: sentiment
+  data_files:
+  - split: train
+    path: sentiment/train-*
+  - split: test
+    path: sentiment/test-*
+  - split: validation
+    path: sentiment/validation-*
+- config_name: stance_abortion
+  data_files:
+  - split: train
+    path: stance_abortion/train-*
+  - split: test
+    path: stance_abortion/test-*
+  - split: validation
+    path: stance_abortion/validation-*
+- config_name: stance_atheism
+  data_files:
+  - split: train
+    path: stance_atheism/train-*
+  - split: test
+    path: stance_atheism/test-*
+  - split: validation
+    path: stance_atheism/validation-*
+- config_name: stance_climate
+  data_files:
+  - split: train
+    path: stance_climate/train-*
+  - split: test
+    path: stance_climate/test-*
+  - split: validation
+    path: stance_climate/validation-*
+- config_name: stance_feminist
+  data_files:
+  - split: train
+    path: stance_feminist/train-*
+  - split: test
+    path: stance_feminist/test-*
+  - split: validation
+    path: stance_feminist/validation-*
+- config_name: stance_hillary
+  data_files:
+  - split: train
+    path: stance_hillary/train-*
+  - split: test
+    path: stance_hillary/test-*
+  - split: validation
+    path: stance_hillary/validation-*
 train-eval-index:
 - config: emotion
   task: text-classification
@@ -510,18 +611,6 @@ train-eval-index:
     name: Recall weighted
     args:
       average: weighted
-config_names:
-- emoji
-- emotion
-- hate
-- irony
-- offensive
-- sentiment
-- stance_abortion
-- stance_atheism
-- stance_climate
-- stance_feminist
-- stance_hillary
 ---
 
 # Dataset Card for tweet_eval

dataset_infos.json

@@ -1 +0,0 @@
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All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.\n", "citation": "@inproceedings{barbieri2020tweeteval,\n  title={{TweetEval:Unified Benchmark and Comparative Evaluation for Tweet Classification}},\n  author={Barbieri, Francesco and Camacho-Collados, Jose and Espinosa-Anke, Luis and Neves, Leonardo},\n  booktitle={Proceedings of Findings of EMNLP},\n  year={2020}\n}\n", "homepage": "https://github.com/cardiffnlp/tweeteval", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 20, "names": ["\u2764", "\ud83d\ude0d", "\ud83d\ude02", "\ud83d\udc95", "\ud83d\udd25", "\ud83d\ude0a", "\ud83d\ude0e", "\u2728", "\ud83d\udc99", "\ud83d\ude18", "\ud83d\udcf7", "\ud83c\uddfa\ud83c\uddf8", "\u2600", "\ud83d\udc9c", "\ud83d\ude09", "\ud83d\udcaf", "\ud83d\ude01", "\ud83c\udf84", "\ud83d\udcf8", "\ud83d\ude1c"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": " tweet_eval", "config_name": "emoji", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3803187, "num_examples": 45000, "dataset_name": " tweet_eval"}, "test": {"name": "test", "num_bytes": 4255921, "num_examples": 50000, "dataset_name": " tweet_eval"}, "validation": {"name": "validation", "num_bytes": 396083, "num_examples": 5000, "dataset_name": " tweet_eval"}}, "download_checksums": {"https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emoji/train_text.txt": {"num_bytes": 3353167, "checksum": "eacb6b0ee1fe2803d72a009c2e731fe07659f604318a979951d2f07c23c564a1"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emoji/train_labels.txt": {"num_bytes": 102760, "checksum": "daee7da826683dbfa50ad3a29c60bc527e498f06c70eabee3745a99cc37ab3a5"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emoji/test_text.txt": {"num_bytes": 3705901, "checksum": "e4de11de1597842c431dd67868e83322f5a432564dfd8558889ed8ac6a1a5e09"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emoji/test_labels.txt": {"num_bytes": 114435, "checksum": "c1662b84788f36674ab8f0106f3e2e7d3e258ddf4959086ac7cc75b1e68dd1f6"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emoji/val_text.txt": {"num_bytes": 341079, "checksum": "3bc3742d6af404cea792671878684d110f3bc02fd79a2e34643789a521d81a26"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emoji/val_labels.txt": {"num_bytes": 11379, "checksum": "21ba456f688668d049ff0fb1fa04469ee684cf4e2467c71d2c3fe5ca2ba1bd1a"}}, "download_size": 7628721, "post_processing_size": null, "dataset_size": 8455191, "size_in_bytes": 16083912}, "emotion": {"description": "TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. 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-# 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.
-"""The Tweet Eval Datasets"""
-
-
-import datasets
-
-
-_CITATION = """\
-@inproceedings{barbieri2020tweeteval,
-  title={{TweetEval:Unified Benchmark and Comparative Evaluation for Tweet Classification}},
-  author={Barbieri, Francesco and Camacho-Collados, Jose and Espinosa-Anke, Luis and Neves, Leonardo},
-  booktitle={Proceedings of Findings of EMNLP},
-  year={2020}
-}
-"""
-
-_DESCRIPTION = """\
-TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.
-"""
-
-_HOMEPAGE = "https://github.com/cardiffnlp/tweeteval"
-
-_LICENSE = ""
-
-URL = "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/"
-
-_URLs = {
-    "emoji": {
-        "train_text": URL + "emoji/train_text.txt",
-        "train_labels": URL + "emoji/train_labels.txt",
-        "test_text": URL + "emoji/test_text.txt",
-        "test_labels": URL + "emoji/test_labels.txt",
-        "val_text": URL + "emoji/val_text.txt",
-        "val_labels": URL + "emoji/val_labels.txt",
-    },
-    "emotion": {
-        "train_text": URL + "emotion/train_text.txt",
-        "train_labels": URL + "emotion/train_labels.txt",
-        "test_text": URL + "emotion/test_text.txt",
-        "test_labels": URL + "emotion/test_labels.txt",
-        "val_text": URL + "emotion/val_text.txt",
-        "val_labels": URL + "emotion/val_labels.txt",
-    },
-    "hate": {
-        "train_text": URL + "hate/train_text.txt",
-        "train_labels": URL + "hate/train_labels.txt",
-        "test_text": URL + "hate/test_text.txt",
-        "test_labels": URL + "hate/test_labels.txt",
-        "val_text": URL + "hate/val_text.txt",
-        "val_labels": URL + "hate/val_labels.txt",
-    },
-    "irony": {
-        "train_text": URL + "irony/train_text.txt",
-        "train_labels": URL + "irony/train_labels.txt",
-        "test_text": URL + "irony/test_text.txt",
-        "test_labels": URL + "irony/test_labels.txt",
-        "val_text": URL + "irony/val_text.txt",
-        "val_labels": URL + "irony/val_labels.txt",
-    },
-    "offensive": {
-        "train_text": URL + "offensive/train_text.txt",
-        "train_labels": URL + "offensive/train_labels.txt",
-        "test_text": URL + "offensive/test_text.txt",
-        "test_labels": URL + "offensive/test_labels.txt",
-        "val_text": URL + "offensive/val_text.txt",
-        "val_labels": URL + "offensive/val_labels.txt",
-    },
-    "sentiment": {
-        "train_text": URL + "sentiment/train_text.txt",
-        "train_labels": URL + "sentiment/train_labels.txt",
-        "test_text": URL + "sentiment/test_text.txt",
-        "test_labels": URL + "sentiment/test_labels.txt",
-        "val_text": URL + "sentiment/val_text.txt",
-        "val_labels": URL + "sentiment/val_labels.txt",
-    },
-    "stance": {
-        "abortion": {
-            "train_text": URL + "stance/abortion/train_text.txt",
-            "train_labels": URL + "stance/abortion/train_labels.txt",
-            "test_text": URL + "stance/abortion/test_text.txt",
-            "test_labels": URL + "stance/abortion/test_labels.txt",
-            "val_text": URL + "stance/abortion/val_text.txt",
-            "val_labels": URL + "stance/abortion/val_labels.txt",
-        },
-        "atheism": {
-            "train_text": URL + "stance/atheism/train_text.txt",
-            "train_labels": URL + "stance/atheism/train_labels.txt",
-            "test_text": URL + "stance/atheism/test_text.txt",
-            "test_labels": URL + "stance/atheism/test_labels.txt",
-            "val_text": URL + "stance/atheism/val_text.txt",
-            "val_labels": URL + "stance/atheism/val_labels.txt",
-        },
-        "climate": {
-            "train_text": URL + "stance/climate/train_text.txt",
-            "train_labels": URL + "stance/climate/train_labels.txt",
-            "test_text": URL + "stance/climate/test_text.txt",
-            "test_labels": URL + "stance/climate/test_labels.txt",
-            "val_text": URL + "stance/climate/val_text.txt",
-            "val_labels": URL + "stance/climate/val_labels.txt",
-        },
-        "feminist": {
-            "train_text": URL + "stance/feminist/train_text.txt",
-            "train_labels": URL + "stance/feminist/train_labels.txt",
-            "test_text": URL + "stance/feminist/test_text.txt",
-            "test_labels": URL + "stance/feminist/test_labels.txt",
-            "val_text": URL + "stance/feminist/val_text.txt",
-            "val_labels": URL + "stance/feminist/val_labels.txt",
-        },
-        "hillary": {
-            "train_text": URL + "stance/hillary/train_text.txt",
-            "train_labels": URL + "stance/hillary/train_labels.txt",
-            "test_text": URL + "stance/hillary/test_text.txt",
-            "test_labels": URL + "stance/hillary/test_labels.txt",
-            "val_text": URL + "stance/hillary/val_text.txt",
-            "val_labels": URL + "stance/hillary/val_labels.txt",
-        },
-    },
-}
-
-
-class TweetEvalConfig(datasets.BuilderConfig):
-    def __init__(self, *args, type=None, sub_type=None, **kwargs):
-        super().__init__(
-            *args,
-            name=f"{type}" if type != "stance" else f"{type}_{sub_type}",
-            **kwargs,
-        )
-        self.type = type
-        self.sub_type = sub_type
-
-
-class TweetEval(datasets.GeneratorBasedBuilder):
-    """TweetEval Dataset."""
-
-    BUILDER_CONFIGS = [
-        TweetEvalConfig(
-            type=key,
-            sub_type=None,
-            version=datasets.Version("1.1.0"),
-            description=f"This part of my dataset covers {key} part of TweetEval Dataset.",
-        )
-        for key in list(_URLs.keys())
-        if key != "stance"
-    ] + [
-        TweetEvalConfig(
-            type="stance",
-            sub_type=key,
-            version=datasets.Version("1.1.0"),
-            description=f"This part of my dataset covers stance_{key} part of TweetEval Dataset.",
-        )
-        for key in list(_URLs["stance"].keys())
-    ]
-
-    def _info(self):
-        if self.config.type == "stance":
-            names = ["none", "against", "favor"]
-        elif self.config.type == "sentiment":
-            names = ["negative", "neutral", "positive"]
-        elif self.config.type == "offensive":
-            names = ["non-offensive", "offensive"]
-        elif self.config.type == "irony":
-            names = ["non_irony", "irony"]
-        elif self.config.type == "hate":
-            names = ["non-hate", "hate"]
-        elif self.config.type == "emoji":
-            names = [
-                "❤",
-                "😍",
-                "😂",
-                "💕",
-                "🔥",
-                "😊",
-                "😎",
-                "✨",
-                "💙",
-                "😘",
-                "📷",
-                "🇺🇸",
-                "☀",
-                "💜",
-                "😉",
-                "💯",
-                "😁",
-                "🎄",
-                "📸",
-                "😜",
-            ]
-
-        else:
-            names = ["anger", "joy", "optimism", "sadness"]
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {"text": datasets.Value("string"), "label": datasets.features.ClassLabel(names=names)}
-            ),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        if self.config.type != "stance":
-            my_urls = _URLs[self.config.type]
-        else:
-            my_urls = _URLs[self.config.type][self.config.sub_type]
-        data_dir = dl_manager.download_and_extract(my_urls)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={"text_path": data_dir["train_text"], "labels_path": data_dir["train_labels"]},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={"text_path": data_dir["test_text"], "labels_path": data_dir["test_labels"]},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={"text_path": data_dir["val_text"], "labels_path": data_dir["val_labels"]},
-            ),
-        ]
-
-    def _generate_examples(self, text_path, labels_path):
-        """Yields examples."""
-
-        with open(text_path, encoding="utf-8") as f:
-            texts = f.readlines()
-        with open(labels_path, encoding="utf-8") as f:
-            labels = f.readlines()
-        for i, text in enumerate(texts):
-            yield i, {"text": text.strip(), "label": int(labels[i].strip())}