Delete the script

newyorker_caption_contest.py

@@ -1,402 +0,0 @@
-# coding=utf-8
-# Lint as: python3
-"""The Caption Contest benchmark."""
-
-
-import json
-import os
-import datasets
-import base64
-import pprint
-
-
-_CAPTION_CONTEST_TASKS_CITATION = """\
-@article{hessel2022androids,
-  title={Do Androids Laugh at Electric Sheep? Humor" Understanding" Benchmarks from The New Yorker Caption Contest},
-  author={Hessel, Jack and Marasovi{\'c}, Ana and Hwang, Jena D and Lee, Lillian and Da, Jeff and Zellers, Rowan and Mankoff, Robert and Choi, Yejin},
-  journal={arXiv preprint arXiv:2209.06293},
-  year={2022}
-}
-
-www.capcon.dev
-
-Our data contributions are:
-
-- The cartoon-level annotations;
-- The joke explanations;
-- and the framing of the tasks
-We release these data we contribute under CC-BY (see DATASET_LICENSE).
-
-If you find this data useful in your work, in addition to citing our contributions, please also cite the following, from which the cartoons/captions in our corpus are derived:
-
-@misc{newyorkernextmldataset,
-  author={Jain, Lalit  and Jamieson, Kevin and Mankoff, Robert and Nowak, Robert and Sievert, Scott},
-  title={The {N}ew {Y}orker Cartoon Caption Contest Dataset},
-  year={2020},
-  url={https://nextml.github.io/caption-contest-data/}
-}
-
-@inproceedings{radev-etal-2016-humor,
-  title = "Humor in Collective Discourse: Unsupervised Funniness Detection in The {New Yorker} Cartoon Caption Contest",
-  author = "Radev, Dragomir  and
-      Stent, Amanda  and
-      Tetreault, Joel  and
-      Pappu, Aasish  and
-      Iliakopoulou, Aikaterini  and
-      Chanfreau, Agustin  and
-      de Juan, Paloma  and
-      Vallmitjana, Jordi  and
-      Jaimes, Alejandro  and
-      Jha, Rahul  and
-      Mankoff, Robert",
-  booktitle = "LREC",
-  year = "2016",
-}
-
-@inproceedings{shahaf2015inside,
-  title={Inside jokes: Identifying humorous cartoon captions},
-  author={Shahaf, Dafna and Horvitz, Eric and Mankoff, Robert},
-  booktitle={KDD},
-  year={2015},
-}
-"""
-
-
-_CAPTION_CONTEST_DESCRIPTION = """\
-There are 3 caption contest tasks, described in the paper. In the Matching multiple choice task, models must recognize a caption written about a cartoon (vs. options that were not). In the Quality Ranking task, models must evaluate the quality
-of that caption by scoring it more highly than a lower quality option from the same contest. In the Explanation Generation task, models must explain why the joke is funny.
-"""
-
-_MATCHING_DESCRIPTION = """\
-You are given a cartoon and 5 captions. Only one of the captions was truly written about the cartoon. You must select it.
-"""
-
-_RANKING_DESCRIPTION = """\
-You are given a cartoon and 2 captions. One of the captions was selected by crowd voting or New Yorker editors as high quality. You must select it.
-"""
-
-_EXPLANATION_DESCRIPTION = """\
-You are given a cartoon and a caption that was written about it. You must autoregressively generate a joke explanation.
-"""
-
-
-_IMAGES_URL = "https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/all_contest_images.zip"
-
-
-def _get_configs_crossvals():
-    cross_val_configs = []
-    for split_idx in [1,2,3,4]:
-        cur_split_configs = [
-            CaptionContestConfig(
-            name='matching_{}'.format(split_idx),
-                description=_MATCHING_DESCRIPTION,
-                features=[
-                    'image',
-                    'contest_number',
-                    'image_location',
-                    'image_description',
-                    'image_uncanny_description',
-                    'entities',
-                    'questions',
-                    'caption_choices',
-                    'from_description',
-                ],
-                label_classes=["A", "B", "C", "D", "E"],
-                data_url='https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/huggingface_hub/v1.0/matching_{}.zip'.format(split_idx),
-                url='www.capcon.dev',
-                citation=_CAPTION_CONTEST_TASKS_CITATION,
-            ),
-
-            CaptionContestConfig(
-                name='matching_from_pixels_{}'.format(split_idx),
-                description=_MATCHING_DESCRIPTION,
-                features=[
-                    'image',
-                    'contest_number',
-                    'caption_choices',
-                ],
-                label_classes=["A", "B", "C", "D", "E"],
-                data_url='https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/huggingface_hub/v1.0/matching_from_pixels_{}.zip'.format(split_idx),
-                url='www.capcon.dev',
-                citation=_CAPTION_CONTEST_TASKS_CITATION,
-            ),
-
-            CaptionContestConfig(
-                name='ranking_{}'.format(split_idx),
-                description=_RANKING_DESCRIPTION,
-                features=[
-                    'image',
-                    'contest_number',
-                    'image_location',
-                    'image_description',
-                    'image_uncanny_description',
-                    'entities',
-                    'questions',
-                    'caption_choices',
-                    'from_description',
-                    'winner_source',
-                ],
-                
-                label_classes=["A", "B"],
-                data_url='https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/huggingface_hub/v1.0/ranking_{}.zip'.format(split_idx),
-                url='www.capcon.dev',
-                citation=_CAPTION_CONTEST_TASKS_CITATION,
-            ),
-
-            CaptionContestConfig(
-                name='ranking_from_pixels_{}'.format(split_idx),
-                description=_RANKING_DESCRIPTION,
-                features=[
-                    'image',
-                    'contest_number',
-                    'caption_choices',
-                    'winner_source',
-                ],
-                label_classes=["A", "B"],
-                data_url='https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/huggingface_hub/v1.0/ranking_from_pixels_{}.zip'.format(split_idx),
-                url='www.capcon.dev',
-                citation=_CAPTION_CONTEST_TASKS_CITATION,
-            ),
-
-
-            CaptionContestConfig(
-                name='explanation_{}'.format(split_idx),
-                description=_EXPLANATION_DESCRIPTION,
-                features=[
-                    'image',
-                    'contest_number',
-                    'image_location',
-                    'image_description',
-                    'image_uncanny_description',
-                    'entities',
-                    'questions',
-                    'caption_choices',
-                    'from_description',
-                ],
-                label_classes=None,
-                data_url='https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/huggingface_hub/v1.0/explanation_{}.zip'.format(split_idx),
-                url='www.capcon.dev',
-                citation=_CAPTION_CONTEST_TASKS_CITATION,
-            ),
-
-            CaptionContestConfig(
-                name='explanation_from_pixels_{}'.format(split_idx),
-                description=_EXPLANATION_DESCRIPTION,
-                features=[
-                    'image',
-                    'contest_number',
-                    'caption_choices',
-                ],
-                label_classes=None,
-                data_url='https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/huggingface_hub/v1.0/explanation_from_pixels_{}.zip'.format(split_idx),
-                url='www.capcon.dev',
-                citation=_CAPTION_CONTEST_TASKS_CITATION,
-            ),
-        ]
-        cross_val_configs.extend(cur_split_configs)
-    return cross_val_configs
-
-
-class CaptionContestConfig(datasets.BuilderConfig):
-    """BuilderConfig for Caption Contest."""
-
-    def __init__(self, features, data_url, citation, url, label_classes=None, **kwargs):
-        """BuilderConfig for Caption Contest.
-        Args:
-          features: `list[string]`, list of the features that will appear in the
-            feature dict. Should not include "label".
-          data_url: `string`, url to download the zip file from.
-          citation: `string`, citation for the data set.
-          url: `string`, url for information about the data set.
-          label_classes: `list[string]`, the list of classes for the label if the
-            label is present as a string. If not provided, there is no fixed label set.
-          **kwargs: keyword arguments forwarded to super.
-        """
-
-        super(CaptionContestConfig, self).__init__(version=datasets.Version("1.0.0"), **kwargs)
-        self.features = features
-        self.data_url = data_url
-        self.citation = citation
-        self.url = url
-        self.label_classes = label_classes
-
-
-class CaptionContest(datasets.GeneratorBasedBuilder):
-    """The CaptionContest benchmark."""
-
-    BUILDER_CONFIGS = [
-        CaptionContestConfig(
-            name='matching',
-            description=_MATCHING_DESCRIPTION,
-            features=[
-                'image',
-                'contest_number',
-                'image_location',
-                'image_description',
-                'image_uncanny_description',
-                'entities',
-                'questions',
-                'caption_choices',
-                'from_description',
-            ],
-            label_classes=["A", "B", "C", "D", "E"],
-            data_url='https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/huggingface_hub/v1.0/matching.zip',
-            url='www.capcon.dev',
-            citation=_CAPTION_CONTEST_TASKS_CITATION,
-        ),
-
-        CaptionContestConfig(
-            name='matching_from_pixels',
-            description=_MATCHING_DESCRIPTION,
-            features=[
-                'image',
-                'contest_number',
-                'caption_choices',
-            ],
-            label_classes=["A", "B", "C", "D", "E"],
-            data_url='https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/huggingface_hub/v1.0/matching_from_pixels.zip',
-            url='www.capcon.dev',
-            citation=_CAPTION_CONTEST_TASKS_CITATION,
-        ),
-
-        CaptionContestConfig(
-            name='ranking',
-            description=_RANKING_DESCRIPTION,
-            features=[
-                'image',
-                'contest_number',
-                'image_location',
-                'image_description',
-                'image_uncanny_description',
-                'entities',
-                'questions',
-                'caption_choices',
-                'from_description',
-                'winner_source',
-            ],
-            label_classes=["A", "B"],
-            data_url='https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/huggingface_hub/v1.0/ranking.zip',
-            url='www.capcon.dev',
-            citation=_CAPTION_CONTEST_TASKS_CITATION,
-        ),
-
-        CaptionContestConfig(
-            name='ranking_from_pixels',
-            description=_RANKING_DESCRIPTION,
-            features=[
-                'image',
-                'contest_number',
-                'caption_choices',
-                'winner_source',
-            ],
-            label_classes=["A", "B"],
-            data_url='https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/huggingface_hub/v1.0/ranking_from_pixels.zip',
-            url='www.capcon.dev',
-            citation=_CAPTION_CONTEST_TASKS_CITATION,
-        ),
-
-
-        CaptionContestConfig(
-            name='explanation',
-            description=_EXPLANATION_DESCRIPTION,
-            features=[
-                'image',
-                'contest_number',
-                'image_location',
-                'image_description',
-                'image_uncanny_description',
-                'entities',
-                'questions',
-                'caption_choices',
-                'from_description',
-            ],
-            label_classes=None,
-            data_url='https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/huggingface_hub/v1.0/explanation.zip',
-            url='www.capcon.dev',
-            citation=_CAPTION_CONTEST_TASKS_CITATION,
-        ),
-
-        CaptionContestConfig(
-            name='explanation_from_pixels',
-            description=_EXPLANATION_DESCRIPTION,
-            features=[
-                'image',
-                'contest_number',
-                'caption_choices',
-            ],
-            label_classes=None,
-            data_url='https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/huggingface_hub/v1.0/explanation_from_pixels.zip',
-            url='www.capcon.dev',
-            citation=_CAPTION_CONTEST_TASKS_CITATION,
-        ),
-    ] + _get_configs_crossvals()
-    
-
-    def _info(self):
-        features = {feature: datasets.Value("string") for feature in self.config.features}
-        # things are strings except for contest_number, entities, questions, and caption choices (if not explanation)
-        features['contest_number'] = datasets.Value("int32")
-        if 'explanation' not in self.config.name:
-            features['caption_choices'] = datasets.features.Sequence(datasets.Value("string"))
-
-        if 'entities' in features:
-            features['entities'] = datasets.features.Sequence(datasets.Value("string"))
-
-        if 'questions' in features:
-            features['questions'] = datasets.features.Sequence(datasets.Value("string"))
-
-        if 'image' in features:
-            features['image'] = datasets.Image()
-            
-        features['label'] = datasets.Value("string")
-        features['n_tokens_label'] = datasets.Value("int32")
-        features['instance_id'] = datasets.Value("string")
-        
-        return datasets.DatasetInfo(
-            description=_CAPTION_CONTEST_DESCRIPTION + self.config.description,
-            features=datasets.Features(features),
-            homepage=self.config.url,
-            citation=self.config.citation
-        )
-
-    def _split_generators(self, dl_manager):
-        dl_dir = dl_manager.download_and_extract(self.config.data_url) or ""
-        self.images_dir = dl_manager.download_and_extract(_IMAGES_URL)
-        task_name = _get_task_name_from_data_url(self.config.data_url)
-        dl_dir = os.path.join(dl_dir, task_name)
-        
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "data_file": os.path.join(dl_dir, "train.jsonl"),
-                    "split": datasets.Split.TRAIN,
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "data_file": os.path.join(dl_dir, "val.jsonl"),
-                    "split": datasets.Split.VALIDATION,
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "data_file": os.path.join(dl_dir, "test.jsonl"),
-                    "split": datasets.Split.TEST,
-                },
-            ),
-        ]
-
-    def _generate_examples(self, data_file, split):
-        with open(data_file, encoding="utf-8") as f:
-            for line in f:
-                row = json.loads(line)
-                with open(self.images_dir + "/all_contest_images/{}.jpeg".format(row['contest_number']), "rb") as image:
-                    row['image'] = {"path": self.images_dir + "/all_contest_images/{}.jpeg".format(row['contest_number']),
-                                    "bytes": image.read()}
-                yield row['instance_id'], row
-
-def _get_task_name_from_data_url(data_url):
-    return data_url.split("/")[-1].split(".")[0]