diff --git a/P3.py b/P3.py new file mode 100644 index 0000000000000000000000000000000000000000..51faef07f447acad44b71b817a09cce3366078dd --- /dev/null +++ b/P3.py @@ -0,0 +1,222 @@ +# coding=utf-8 +# Copyright 2020 BigScience Contributors. +# +# 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. +"""P3 (Public Pool of Prompts)""" + + +import datasets +import tensorflow as tf + +from .tasks_splits_and_features import _TASK_SPLITS_AND_FEATURES_DICT + + +_CITATION = """@misc{sanh2021multitask, + title={Multitask Prompted Training Enables Zero-Shot Task Generalization}, + author={Victor Sanh and Albert Webson and Colin Raffel and Stephen H. Bach and Lintang Sutawika and Zaid Alyafeai and Antoine Chaffin and Arnaud Stiegler and Teven Le Scao and Arun Raja and Manan Dey and M Saiful Bari and Canwen Xu and Urmish Thakker and Shanya Sharma Sharma and Eliza Szczechla and Taewoon Kim and Gunjan Chhablani and Nihal Nayak and Debajyoti Datta and Jonathan Chang and Mike Tian-Jian Jiang and Han Wang and Matteo Manica and Sheng Shen and Zheng Xin Yong and Harshit Pandey and Rachel Bawden and Thomas Wang and Trishala Neeraj and Jos Rozen and Abheesht Sharma and Andrea Santilli and Thibault Fevry and Jason Alan Fries and Ryan Teehan and Stella Biderman and Leo Gao and Tali Bers and Thomas Wolf and Alexander M. Rush}, + year={2021}, + eprint={2110.08207}, + archivePrefix={arXiv}, + primaryClass={cs.LG} +}""" + +_DESCRIPTION = """\ +P3 (Public Pool of Prompts) is a collection of prompted English datasets covering a diverse set of NLP tasks. A prompt is the combination of an input template and a target template. The templates are functions mapping a data example into natural language for the input and target sequences. For example, in the case of an NLI dataset, the data example would include fields for *Premise, Hypothesis, Label*. An input template would be *If {Premise} is true, is it also true that {Hypothesis}?*, whereas a target template can be defined with the label choices *Choices[label]*. Here *Choices* is prompt-specific metadata that consists of the options *yes, maybe, no* corresponding to *label* being entailment (0), neutral (1) or contradiction (2). + +Prompts are collected using [Promptsource](https://github.com/bigscience-workshop/promptsource), an interface to interactively write prompts on datasets, and collect prompt-specific metadata such as evaluation metrics. As of October 13th, there are 2'000 prompts collected for 270+ data(sub)sets. The collection of prompts of P3 is publicly available on [Promptsource](https://github.com/bigscience-workshop/promptsource). + +To train [T0*](https://huggingface.co/bigscience/T0pp), we used a subset of the prompts available in Promptsource (see details [here](https://huggingface.co/bigscience/T0pp#training-data)). However, some of the prompts use `random.choice`, a method that selects uniformly at random an option in a list of valid possibilities. For reproducibility purposes, we release the collection of prompted examples used to train T0*. **The data available here are the materialized version of the prompted datasets used in [Multitask Prompted Training Enables Zero-Shot Task Generalization](https://arxiv.org/abs/2110.08207) which represent only a subset of the datasets for which there is at least one prompt in Promptsource.** +""" + +_LICENSE = "Apache License 2.0" + +_HOMEPAGE = "https://github.com/bigscience-workshop/promptsource" + +_DATA_PATH = "data" + + +logger = datasets.logging.get_logger(__name__) + + +def load_cached_task(features_dict, tfrecord): + # Use `FixedLenSequenceFeature` for sequences with variable length. + def _feature_config(shape, dtype): + if dtype in ("int32", "bool"): + # int32 and bool are stored as int64 in the tf.train.Example protobuf. + dtype = "int64" + if shape and shape[0] is None: + return tf.io.FixedLenSequenceFeature( + shape[1:], dtype, allow_missing=True + ) + return tf.io.FixedLenFeature(shape, dtype) + + feature_description = { + feat: _feature_config(**desc) for feat, desc in features_dict.items() + } + + ds = tf.data.TFRecordDataset(tf.io.gfile.glob([tfrecord])) # TODO -> handle multiple shards + ds = ds.map( + lambda pb: tf.io.parse_single_example(pb, feature_description), + num_parallel_calls=tf.data.experimental.AUTOTUNE + ) + # Cast features back to the types from the info JSON since some features + # must be cast for storage (e.g., int32 is stored as int64). + ds = ds.map( + lambda x: {k: tf.cast(v, features_dict[k]["dtype"]) for k, v in x.items()}, + num_parallel_calls=tf.data.experimental.AUTOTUNE + ) + return ds + + +_URLs = { + task_name: { + split_name: { + "tfrecord": f"{_DATA_PATH}/{task_name}/{split_name}.tfrecord-00000-of-00001", # TODO -> handle multiple shards + } + for split_name in splits_and_features_dict["splits"] + } + for task_name, splits_and_features_dict in _TASK_SPLITS_AND_FEATURES_DICT.items() +} + + +class P3Config(datasets.BuilderConfig): + """BuilderConfig for P3.""" + + def __init__(self, splits, features_dict, score_eval, **kwargs): + """BuilderConfig for P3. + + Args: + splits: `List[str]`, the lists of splits which are available for this task + features_dict: `dict`, the dict of features for this task + score_eval: `bool`, whether this is task formulated as a rank classification problem + **kwargs: keyword arguments forwarded to super. + """ + # Version history: + # 0.1 initial commit + super(P3Config, self).__init__(version=datasets.Version("0.1.0"), **kwargs) + self.splits = splits + self.features_dict = features_dict + self.score_eval = score_eval + + +class P3(datasets.GeneratorBasedBuilder): + """Subset of P3 used in `Multitask Prompted Training Enables Zero-Shot Task Generalization`""" + + BUILDER_CONFIGS = [ + P3Config( + name=task_name, + splits=splits_and_features_dict["splits"], + features_dict=splits_and_features_dict["features_dict"], + score_eval=task_name.endswith("score_eval") + ) + for task_name, splits_and_features_dict in _TASK_SPLITS_AND_FEATURES_DICT.items() + ] + + def _info(self): + # All features available are: 'inputs', 'inputs_pretokenized', 'targets', + # 'targets_pretokenized', 'idx', 'is_correct', 'weight', and 'answer_choices' + _FEAT_MAPPING = { + "answer_choices": datasets.Sequence(datasets.Value("string")), + "inputs": datasets.Sequence(datasets.Value("int32")), + "inputs_pretokenized": datasets.Value("string"), + "targets": datasets.Sequence(datasets.Value("int32")), + "targets_pretokenized": datasets.Value("string"), + "idx": datasets.Sequence(datasets.Value("int32")), + "weight": datasets.Value("float32"), + "is_correct": datasets.Value("bool"), + } + + features = {} + for feat_name in self.config.features_dict.keys(): + features[feat_name] = _FEAT_MAPPING[feat_name] + + return datasets.DatasetInfo( + description=_DESCRIPTION, + features=datasets.Features(features), + supervised_keys=None, + homepage=_HOMEPAGE, + citation=_CITATION, + license=_LICENSE, + ) + + def _split_generators(self, dl_manager): + split_generators = [] + data_dir = dl_manager.download_and_extract(_URLs) + task_name = self.config.name + if "train" in self.config.splits: + split_name = "train" + split_generators.append( + datasets.SplitGenerator( + name=datasets.Split.TRAIN, + gen_kwargs={ + "tfrecord": data_dir[task_name][split_name]["tfrecord"], + } + ) + ) + if "validation" in self.config.splits: + split_name = "validation" + split_generators.append( + datasets.SplitGenerator( + name=datasets.Split.VALIDATION, + gen_kwargs={ + "tfrecord": data_dir[task_name][split_name]["tfrecord"], + } + ) + ) + if "test" in self.config.splits: + split_name = "test" + split_generators.append( + datasets.SplitGenerator( + name=datasets.Split.TEST, + gen_kwargs={ + "tfrecord": data_dir[task_name][split_name]["tfrecord"], + } + ) + ) + # Handle splits that are not train, validation or test + special_splits = set(self.config.splits) - set(["train", "validation", "test"]) + for special_split_name in special_splits: + split_generators.append( + datasets.SplitGenerator( + name=datasets.Split(special_split_name), + gen_kwargs={ + "tfrecord": data_dir[task_name][special_split_name]["tfrecord"], + } + ) + ) + return split_generators + + + def _generate_examples(self, tfrecord): + """This function returns the examples in the raw (text) form.""" + _FEAT_MAPPING_FUNCTIONS = { + "answer_choices": lambda x: [choice.decode("utf-8") for choice in x], + "inputs": lambda x: x.tolist(), + "inputs_pretokenized": lambda x: x.decode("utf-8"), + "targets": lambda x: x.tolist(), + "targets_pretokenized": lambda x: x.decode("utf-8"), + "idx": lambda x: x.tolist(), + "weight": lambda x: float(x), + "is_correct": lambda x: x, + } + + key = 0 + features_dict = self.config.features_dict + ds = load_cached_task(features_dict, tfrecord) + + for ex in ds.as_numpy_iterator(): + ex_dict = {} + for feat_name, feat_value in ex.items(): + ex_dict[feat_name] = _FEAT_MAPPING_FUNCTIONS[feat_name](feat_value) + yield key, ex_dict + key += 1 diff --git a/README.md b/README.md index 730887d002884e0538a136968c6c6ceefbd81565..632c62e410efca05dd2396be68f2aac6b087968b 100644 --- a/README.md +++ b/README.md @@ -8,20544 +8,11 @@ license: - apache-2.0 multilinguality: - monolingual +pretty_name: P3 size_categories: - 100M 0: + data_split_sizes[task_name][split_name] = nb_examples + +with open("data_split_sizes.csv", "w", encoding="utf=8") as f: + # The file is now merged into `tasks_splits_and_features.py` + f.write("Data(sub)set|Number of examples per splits\n") + for task_name in sorted(list(data_split_sizes.keys())): + split_sizes_dict = json.dumps(data_split_sizes[task_name]) + f.write(f"{task_name}|{split_sizes_dict}\n") diff --git a/qasc_is_correct_1/test-00000-of-00001.parquet b/qasc_is_correct_1/test-00000-of-00001.parquet deleted file mode 100644 index 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a/tasks_splits_and_features.py +++ b/tasks_splits_and_features.py @@ -1,48 +1,20 @@ from collections import defaultdict - DATA_SPLITS_SIZES = { "adversarial_qa_dbert_answer_the_following_q": {"validation": 1000, "train": 10000}, "adversarial_qa_dbert_based_on": {"validation": 1000, "train": 10000}, - "adversarial_qa_dbert_generate_question": { - "validation": 1000, - "test": 1000, - "train": 10000, - }, - "adversarial_qa_dbert_question_context_answer": { - "validation": 1000, - "train": 10000, - }, + "adversarial_qa_dbert_generate_question": {"validation": 1000, "test": 1000, "train": 10000}, + "adversarial_qa_dbert_question_context_answer": {"validation": 1000, "train": 10000}, "adversarial_qa_dbert_tell_what_it_is": {"validation": 1000, "train": 10000}, - "adversarial_qa_dbidaf_answer_the_following_q": { - "validation": 1000, - "train": 10000, - }, + "adversarial_qa_dbidaf_answer_the_following_q": {"validation": 1000, "train": 10000}, "adversarial_qa_dbidaf_based_on": {"validation": 1000, "train": 10000}, - "adversarial_qa_dbidaf_generate_question": { - "validation": 1000, - "test": 1000, - "train": 10000, - }, - "adversarial_qa_dbidaf_question_context_answer": { - "validation": 1000, - "train": 10000, - }, + "adversarial_qa_dbidaf_generate_question": {"validation": 1000, "test": 1000, "train": 10000}, + "adversarial_qa_dbidaf_question_context_answer": {"validation": 1000, "train": 10000}, "adversarial_qa_dbidaf_tell_what_it_is": {"validation": 1000, "train": 10000}, - "adversarial_qa_droberta_answer_the_following_q": { - "validation": 1000, - "train": 10000, - }, + "adversarial_qa_droberta_answer_the_following_q": {"validation": 1000, "train": 10000}, "adversarial_qa_droberta_based_on": {"validation": 1000, "train": 10000}, - "adversarial_qa_droberta_generate_question": { - "validation": 1000, - "test": 1000, - "train": 10000, - }, - "adversarial_qa_droberta_question_context_answer": { - "validation": 1000, - "train": 10000, - }, + "adversarial_qa_droberta_generate_question": {"validation": 1000, "test": 1000, "train": 10000}, + "adversarial_qa_droberta_question_context_answer": {"validation": 1000, "train": 10000}, "adversarial_qa_droberta_tell_what_it_is": {"validation": 1000, "train": 10000}, "ag_news_classify": {"test": 7600, "train": 120000}, "ag_news_classify_question_first": {"test": 7600, "train": 120000}, @@ -51,501 +23,139 @@ DATA_SPLITS_SIZES = { "ag_news_recommend": {"test": 7600, "train": 120000}, "ag_news_which_section": {"test": 7600, "train": 120000}, "ag_news_which_section_choices": {"test": 7600, "train": 120000}, - "ai2_arc_ARC_Challenge_heres_a_problem": { - "validation": 299, - "test": 1172, - "train": 1119, - }, - "ai2_arc_ARC_Challenge_i_am_hesitating": { - "validation": 299, - "test": 1172, - "train": 1119, - }, - "ai2_arc_ARC_Challenge_multiple_choice": { - "validation": 299, - "test": 1172, - "train": 1119, - }, - "ai2_arc_ARC_Challenge_pick_false_options": { - "validation": 299, - "test": 1172, - "train": 1119, - }, - "ai2_arc_ARC_Challenge_pick_the_most_correct_option": { - "validation": 299, - "test": 1172, - "train": 1119, - }, - "ai2_arc_ARC_Challenge_qa_options": { - "validation": 299, - "test": 1172, - "train": 1119, - }, - "ai2_arc_ARC_Easy_heres_a_problem": { - "validation": 570, - "test": 2376, - "train": 2251, - }, - "ai2_arc_ARC_Easy_i_am_hesitating": { - "validation": 570, - "test": 2376, - "train": 2251, - }, - "ai2_arc_ARC_Easy_multiple_choice": { - "validation": 570, - "test": 2376, - "train": 2251, - }, - "ai2_arc_ARC_Easy_pick_false_options": { - "validation": 570, - "test": 2376, - "train": 2251, - }, - "ai2_arc_ARC_Easy_pick_the_most_correct_option": { - "validation": 570, - "test": 2376, - "train": 2251, - }, + "ai2_arc_ARC_Challenge_heres_a_problem": {"validation": 299, "test": 1172, "train": 1119}, + "ai2_arc_ARC_Challenge_i_am_hesitating": {"validation": 299, "test": 1172, "train": 1119}, + "ai2_arc_ARC_Challenge_multiple_choice": {"validation": 299, "test": 1172, "train": 1119}, + "ai2_arc_ARC_Challenge_pick_false_options": {"validation": 299, "test": 1172, "train": 1119}, + "ai2_arc_ARC_Challenge_pick_the_most_correct_option": {"validation": 299, "test": 1172, "train": 1119}, + "ai2_arc_ARC_Challenge_qa_options": {"validation": 299, "test": 1172, "train": 1119}, + "ai2_arc_ARC_Easy_heres_a_problem": {"validation": 570, "test": 2376, "train": 2251}, + "ai2_arc_ARC_Easy_i_am_hesitating": {"validation": 570, "test": 2376, "train": 2251}, + "ai2_arc_ARC_Easy_multiple_choice": {"validation": 570, "test": 2376, "train": 2251}, + "ai2_arc_ARC_Easy_pick_false_options": {"validation": 570, "test": 2376, "train": 2251}, + "ai2_arc_ARC_Easy_pick_the_most_correct_option": {"validation": 570, "test": 2376, "train": 2251}, "ai2_arc_ARC_Easy_qa_options": {"validation": 570, "test": 2376, "train": 2251}, - "amazon_polarity_Is_this_product_review_positive": { - "test": 400000, - "train": 3600000, - }, + "amazon_polarity_Is_this_product_review_positive": {"test": 400000, "train": 3600000}, "amazon_polarity_Is_this_review": {"test": 400000, "train": 3600000}, "amazon_polarity_Is_this_review_negative": {"test": 400000, "train": 3600000}, "amazon_polarity_User_recommend_this_product": {"test": 400000, "train": 3600000}, - "amazon_polarity_convey_negative_or_positive_sentiment": { - "test": 400000, - "train": 3600000, - }, + "amazon_polarity_convey_negative_or_positive_sentiment": {"test": 400000, "train": 3600000}, "amazon_polarity_flattering_or_not": {"test": 400000, "train": 3600000}, "amazon_polarity_negative_or_positive_tone": {"test": 400000, "train": 3600000}, "amazon_polarity_user_satisfied": {"test": 400000, "train": 3600000}, "amazon_polarity_would_you_buy": {"test": 400000, "train": 3600000}, "anli_GPT_3_style_r1": {"validation": 1000, "test": 1000, "train": 16946}, - "anli_GPT_3_style_r1_score_eval": { - "validation": 3000, - "test": 3000, - "train": 50838, - }, + 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"dbpedia_14_pick_one_category_for_the_following_text": { - "test": 70000, - "train": 560000, - }, + "dbpedia_14_given_a_list_of_category_what_does_the_title_belong_to": {"test": 70000, "train": 560000}, + "dbpedia_14_given_list_what_category_does_the_paragraph_belong_to": {"test": 70000, "train": 560000}, + "dbpedia_14_pick_one_category_for_the_following_text": {"test": 70000, "train": 560000}, "dream_answer_to_dialogue": {"validation": 2040, "test": 2041, "train": 6116}, "dream_baseline": {"validation": 2040, "test": 2041, "train": 6116}, "dream_generate_first_utterance": {"validation": 2040, "test": 2041, "train": 6116}, "dream_generate_last_utterance": {"validation": 2040, "test": 2041, "train": 6116}, - "dream_read_the_following_conversation_and_answer_the_question": { - "validation": 2040, - "test": 2041, - "train": 6116, - }, - "duorc_ParaphraseRC_answer_question": { - "validation": 15591, - "test": 15857, - "train": 69524, - }, - "duorc_ParaphraseRC_build_story_around_qa": { - "validation": 13111, - "test": 13449, - "train": 58752, - }, - "duorc_ParaphraseRC_decide_worth_it": { - "validation": 15591, - "test": 15857, - "train": 69524, - }, - "duorc_ParaphraseRC_extract_answer": { - "validation": 15591, - "test": 15857, - "train": 69524, - }, - "duorc_ParaphraseRC_generate_question": { - "validation": 15591, - "test": 15857, - "train": 69524, - }, - "duorc_ParaphraseRC_generate_question_by_answer": { - "validation": 13111, - "test": 13449, - "train": 58752, - }, - "duorc_ParaphraseRC_movie_director": { - "validation": 15591, - "test": 15857, - "train": 69524, - }, - "duorc_ParaphraseRC_question_answering": { - "validation": 15591, - "test": 15857, - "train": 69524, - }, - "duorc_ParaphraseRC_title_generation": { - "validation": 15591, - "test": 15857, - "train": 69524, - }, - "duorc_SelfRC_answer_question": { - "validation": 12961, - "test": 12559, - "train": 60721, - }, - "duorc_SelfRC_build_story_around_qa": { - "validation": 12845, - "test": 12415, - "train": 60094, - }, - "duorc_SelfRC_decide_worth_it": { - "validation": 12961, - "test": 12559, - "train": 60721, - }, + "dream_read_the_following_conversation_and_answer_the_question": {"validation": 2040, "test": 2041, "train": 6116}, + "duorc_ParaphraseRC_answer_question": {"validation": 15591, "test": 15857, "train": 69524}, + "duorc_ParaphraseRC_build_story_around_qa": {"validation": 13111, "test": 13449, "train": 58752}, + "duorc_ParaphraseRC_decide_worth_it": {"validation": 15591, "test": 15857, "train": 69524}, + "duorc_ParaphraseRC_extract_answer": {"validation": 15591, "test": 15857, "train": 69524}, + "duorc_ParaphraseRC_generate_question": {"validation": 15591, "test": 15857, "train": 69524}, + "duorc_ParaphraseRC_generate_question_by_answer": {"validation": 13111, "test": 13449, "train": 58752}, + "duorc_ParaphraseRC_movie_director": {"validation": 15591, "test": 15857, "train": 69524}, + "duorc_ParaphraseRC_question_answering": {"validation": 15591, "test": 15857, "train": 69524}, + "duorc_ParaphraseRC_title_generation": {"validation": 15591, "test": 15857, "train": 69524}, + "duorc_SelfRC_answer_question": {"validation": 12961, "test": 12559, "train": 60721}, + "duorc_SelfRC_build_story_around_qa": {"validation": 12845, "test": 12415, "train": 60094}, + "duorc_SelfRC_decide_worth_it": {"validation": 12961, "test": 12559, "train": 60721}, "duorc_SelfRC_extract_answer": {"validation": 12961, "test": 12559, "train": 60721}, - "duorc_SelfRC_generate_question": { - "validation": 12961, - "test": 12559, - "train": 60721, - }, - "duorc_SelfRC_generate_question_by_answer": { - "validation": 12845, - "test": 12415, - "train": 60094, - }, + "duorc_SelfRC_generate_question": {"validation": 12961, "test": 12559, "train": 60721}, + "duorc_SelfRC_generate_question_by_answer": {"validation": 12845, "test": 12415, "train": 60094}, "duorc_SelfRC_movie_director": {"validation": 12961, "test": 12559, "train": 60721}, - "duorc_SelfRC_question_answering": { - "validation": 12961, - "test": 12559, - "train": 60721, - }, - "duorc_SelfRC_title_generation": { - "validation": 12961, - "test": 12559, - "train": 60721, - }, + "duorc_SelfRC_question_answering": {"validation": 12961, "test": 12559, "train": 60721}, + "duorc_SelfRC_title_generation": {"validation": 12961, "test": 12559, "train": 60721}, "gigaword_TLDR": {"validation": 189651, "test": 1951, "train": 3803957}, - "gigaword_first_sentence_title": { - "validation": 189651, - "test": 1951, - "train": 3803957, - }, - "gigaword_generate_summary_for_this": { - "validation": 189651, - "test": 1951, - "train": 3803957, - }, + "gigaword_first_sentence_title": {"validation": 189651, "test": 1951, "train": 3803957}, + "gigaword_generate_summary_for_this": {"validation": 189651, "test": 1951, "train": 3803957}, "gigaword_in_a_nutshell": {"validation": 189651, "test": 1951, "train": 3803957}, "gigaword_make_a_title": {"validation": 189651, "test": 1951, "train": 3803957}, "gigaword_reverse_writing": {"validation": 189651, "test": 1951, "train": 3803957}, - "gigaword_write_a_title_for_this_sentence": { - "validation": 189651, - "test": 1951, - "train": 3803957, - }, + "gigaword_write_a_title_for_this_sentence": {"validation": 189651, "test": 1951, "train": 3803957}, "gigaword_write_an_article": {"validation": 189651, "test": 1951, "train": 3803957}, - "gigaword_write_its_sentence": { - "validation": 189651, - "test": 1951, - "train": 3803957, - }, + "gigaword_write_its_sentence": {"validation": 189651, "test": 1951, "train": 3803957}, "glue_mrpc_equivalent": {"validation": 408, "test": 1725, "train": 3668}, "glue_mrpc_generate_paraphrase": {"validation": 279, "test": 1147, "train": 2474}, "glue_mrpc_generate_sentence": {"validation": 279, "test": 1147, "train": 2474}, @@ -756,261 +229,73 @@ DATA_SPLITS_SIZES = { "glue_qqp_meaning": {"validation": 40430, "test": 390965, "train": 363846}, "glue_qqp_quora": {"validation": 40430, "test": 390965, "train": 363846}, "glue_qqp_same_thing": {"validation": 40430, "test": 390965, "train": 363846}, - "hellaswag_Appropriate_continuation_Yes_or_No": { - "validation": 10042, - "test": 10003, - "train": 39905, - }, - "hellaswag_Open_ended_completion": { - "validation": 10042, - "test": 10003, - "train": 39905, - }, + "hellaswag_Appropriate_continuation_Yes_or_No": {"validation": 10042, "test": 10003, "train": 39905}, + "hellaswag_Open_ended_completion": {"validation": 10042, "test": 10003, "train": 39905}, "hellaswag_Open_ended_start": {"validation": 10042, "test": 10003, "train": 39905}, - "hellaswag_Predict_ending_with_hint": { - "validation": 10042, - "test": 10003, - "train": 39905, - }, - "hellaswag_Predict_ending_with_hint_score_eval": { - "validation": 40168, - "test": 40012, - "train": 159620, - }, - "hellaswag_Randomized_prompts_template": { - "validation": 10042, - "test": 10003, - "train": 39905, - }, - "hellaswag_Randomized_prompts_template_score_eval": { - "validation": 40168, - "test": 40012, - "train": 159620, - }, - "hellaswag_Reversed_appropriate_continuation_Yes_or_No": { - "validation": 10042, - "test": 10003, - "train": 39905, - }, - "hellaswag_Topic_of_the_context": { - "validation": 10042, - "test": 10003, - "train": 39905, - }, - "hellaswag_Topic_without_the_ending_answer": { - "validation": 10042, - "test": 10003, - "train": 39905, - }, - "hellaswag_complete_first_then": { - "validation": 10042, - "test": 10003, - "train": 39905, - }, - "hellaswag_complete_first_then_score_eval": { - "validation": 40168, - "test": 40012, - "train": 159620, - }, + "hellaswag_Predict_ending_with_hint": {"validation": 10042, "test": 10003, "train": 39905}, + "hellaswag_Predict_ending_with_hint_score_eval": {"validation": 40168, "test": 40012, "train": 159620}, + "hellaswag_Randomized_prompts_template": {"validation": 10042, "test": 10003, "train": 39905}, + "hellaswag_Randomized_prompts_template_score_eval": {"validation": 40168, "test": 40012, "train": 159620}, + "hellaswag_Reversed_appropriate_continuation_Yes_or_No": {"validation": 10042, "test": 10003, "train": 39905}, + "hellaswag_Topic_of_the_context": {"validation": 10042, "test": 10003, "train": 39905}, + "hellaswag_Topic_without_the_ending_answer": {"validation": 10042, "test": 10003, "train": 39905}, + "hellaswag_complete_first_then": {"validation": 10042, "test": 10003, "train": 39905}, + "hellaswag_complete_first_then_score_eval": {"validation": 40168, "test": 40012, "train": 159620}, "hellaswag_how_ends": {"validation": 10042, "test": 10003, "train": 39905}, - "hellaswag_if_begins_how_continues": { - "validation": 10042, - "test": 10003, - "train": 39905, - }, - "hellaswag_if_begins_how_continues_score_eval": { - "validation": 40168, - "test": 40012, - "train": 159620, - }, - "imdb_Movie_Expressed_Sentiment": { - "test": 25000, - "unsupervised": 50000, - "train": 25000, - }, - "imdb_Movie_Expressed_Sentiment_2": { - "test": 25000, - "unsupervised": 50000, - "train": 25000, - }, - "imdb_Negation_template_for_positive_and_negative": { - "test": 25000, - "unsupervised": 50000, - "train": 25000, - }, + "hellaswag_if_begins_how_continues": {"validation": 10042, "test": 10003, "train": 39905}, + "hellaswag_if_begins_how_continues_score_eval": {"validation": 40168, "test": 40012, "train": 159620}, + "imdb_Movie_Expressed_Sentiment": {"test": 25000, "unsupervised": 50000, "train": 25000}, + "imdb_Movie_Expressed_Sentiment_2": {"test": 25000, "unsupervised": 50000, "train": 25000}, + "imdb_Negation_template_for_positive_and_negative": {"test": 25000, "unsupervised": 50000, "train": 25000}, "imdb_Reviewer_Enjoyment": {"test": 25000, "unsupervised": 50000, "train": 25000}, - "imdb_Reviewer_Enjoyment_Yes_No": { - "test": 25000, - "unsupervised": 50000, - "train": 25000, - }, - "imdb_Reviewer_Expressed_Sentiment": { - "test": 25000, - "unsupervised": 50000, - "train": 25000, - }, - "imdb_Reviewer_Opinion_bad_good_choices": { - "test": 25000, - "unsupervised": 50000, - "train": 25000, - }, - "imdb_Reviewer_Sentiment_Feeling": { - "test": 25000, - "unsupervised": 50000, - "train": 25000, - }, - "imdb_Sentiment_with_choices_": { - "test": 25000, - "unsupervised": 50000, - "train": 25000, - }, - "imdb_Text_Expressed_Sentiment": { - "test": 25000, - "unsupervised": 50000, - "train": 25000, - }, - "imdb_Writer_Expressed_Sentiment": { - "test": 25000, - "unsupervised": 50000, - "train": 25000, - }, + "imdb_Reviewer_Enjoyment_Yes_No": {"test": 25000, "unsupervised": 50000, "train": 25000}, + "imdb_Reviewer_Expressed_Sentiment": {"test": 25000, "unsupervised": 50000, "train": 25000}, + "imdb_Reviewer_Opinion_bad_good_choices": {"test": 25000, "unsupervised": 50000, "train": 25000}, + "imdb_Reviewer_Sentiment_Feeling": {"test": 25000, "unsupervised": 50000, "train": 25000}, + "imdb_Sentiment_with_choices_": {"test": 25000, "unsupervised": 50000, "train": 25000}, + "imdb_Text_Expressed_Sentiment": {"test": 25000, "unsupervised": 50000, "train": 25000}, + "imdb_Writer_Expressed_Sentiment": {"test": 25000, "unsupervised": 50000, "train": 25000}, "kilt_tasks_hotpotqa_combining_facts": {"validation": 5600, "train": 88869}, "kilt_tasks_hotpotqa_complex_question": {"validation": 5600, "train": 88869}, "kilt_tasks_hotpotqa_final_exam": {"validation": 5600, "train": 88869}, "kilt_tasks_hotpotqa_formulate": {"validation": 5600, "train": 88869}, "kilt_tasks_hotpotqa_straighforward_qa": {"validation": 5600, "train": 88869}, "multi_news_distill": {"validation": 5622, "test": 5622, "train": 44972}, - "multi_news_expand_reverse_task_": { - "validation": 5622, - "test": 5622, - "train": 44972, - }, + "multi_news_expand_reverse_task_": {"validation": 5622, "test": 5622, "train": 44972}, "multi_news_summarize": {"validation": 5622, "test": 5622, "train": 44972}, "multi_news_summary_scenario": {"validation": 5622, "test": 5622, "train": 44972}, "multi_news_synthesize": {"validation": 5622, "test": 5622, "train": 44972}, - "multi_news_what_are_the_key_points": { - "validation": 5622, - "test": 5622, - "train": 44972, - }, + "multi_news_what_are_the_key_points": {"validation": 5622, "test": 5622, "train": 44972}, "openbookqa_main_choices": {"validation": 500, "test": 500, "train": 4957}, - "openbookqa_main_choose_an_answer_with_options": { - "validation": 500, - "test": 500, - "train": 4957, - }, + "openbookqa_main_choose_an_answer_with_options": {"validation": 500, "test": 500, "train": 4957}, "openbookqa_main_only_options": {"validation": 500, "test": 500, "train": 4957}, - "openbookqa_main_pick_answer_with_options": { - "validation": 500, - "test": 500, - "train": 4957, - }, + "openbookqa_main_pick_answer_with_options": {"validation": 500, "test": 500, "train": 4957}, "openbookqa_main_pick_using_id": {"validation": 500, "test": 500, "train": 4957}, "openbookqa_main_which_correct": {"validation": 500, "test": 500, "train": 4957}, - "openbookqa_main_which_correct_inverse": { - "validation": 500, - "test": 500, - "train": 4957, - }, - "paws_labeled_final_Concatenation": { - "validation": 8000, - "test": 8000, - "train": 49401, - }, - "paws_labeled_final_Concatenation_no_label": { - "validation": 8000, - "test": 8000, - "train": 49401, - }, + "openbookqa_main_which_correct_inverse": {"validation": 500, "test": 500, "train": 4957}, + "paws_labeled_final_Concatenation": {"validation": 8000, "test": 8000, "train": 49401}, + "paws_labeled_final_Concatenation_no_label": {"validation": 8000, "test": 8000, "train": 49401}, "paws_labeled_final_Meaning": {"validation": 8000, "test": 8000, "train": 49401}, - "paws_labeled_final_Meaning_no_label": { - "validation": 8000, - "test": 8000, - "train": 49401, - }, - "paws_labeled_final_PAWS_ANLI_GPT3": { - "validation": 8000, - "test": 8000, - "train": 49401, - }, - "paws_labeled_final_PAWS_ANLI_GPT3_no_label": { - "validation": 8000, - "test": 8000, - "train": 49401, - }, + "paws_labeled_final_Meaning_no_label": {"validation": 8000, "test": 8000, "train": 49401}, + "paws_labeled_final_PAWS_ANLI_GPT3": {"validation": 8000, "test": 8000, "train": 49401}, + "paws_labeled_final_PAWS_ANLI_GPT3_no_label": {"validation": 8000, "test": 8000, "train": 49401}, "paws_labeled_final_Rewrite": {"validation": 8000, "test": 8000, "train": 49401}, - "paws_labeled_final_Rewrite_no_label": { - "validation": 8000, - "test": 8000, - "train": 49401, - }, - "paws_labeled_final_context_question": { - "validation": 8000, - "test": 8000, - "train": 49401, - }, - "paws_labeled_final_context_question_no_label": { - "validation": 8000, - "test": 8000, - "train": 49401, - }, - "paws_labeled_final_paraphrase_task": { - "validation": 3539, - "test": 3536, - "train": 21829, - }, - "paws_labeled_final_task_description_no_label": { - "validation": 8000, - "test": 8000, - "train": 49401, - }, + "paws_labeled_final_Rewrite_no_label": {"validation": 8000, "test": 8000, "train": 49401}, + "paws_labeled_final_context_question": {"validation": 8000, "test": 8000, "train": 49401}, + "paws_labeled_final_context_question_no_label": {"validation": 8000, "test": 8000, "train": 49401}, + "paws_labeled_final_paraphrase_task": {"validation": 3539, "test": 3536, "train": 21829}, + "paws_labeled_final_task_description_no_label": {"validation": 8000, "test": 8000, "train": 49401}, "piqa_Correct_the_solution": {"validation": 1838, "test": 3084, "train": 16113}, - "piqa_Correct_the_solution_if_false_from_sol_1": { - "validation": 1838, - "test": 3084, - "train": 16113, - }, - "piqa_Correct_the_solution_if_false_from_sol_2": { - "validation": 1838, - "test": 3084, - "train": 16113, - }, - "piqa_Does_this_solution_make_sense_sol1": { - "validation": 1838, - "test": 3084, - "train": 16113, - }, - "piqa_Does_this_solution_make_sense_sol2": { - "validation": 1838, - "test": 3084, - "train": 16113, - }, - "piqa_choose_the_most_appropriate_solution": { - "validation": 1838, - "test": 3084, - "train": 16113, - }, - "piqa_finish_sentence_with_correct_choice": { - "validation": 1838, - "test": 3084, - "train": 16113, - }, + "piqa_Correct_the_solution_if_false_from_sol_1": {"validation": 1838, "test": 3084, "train": 16113}, + "piqa_Correct_the_solution_if_false_from_sol_2": {"validation": 1838, "test": 3084, "train": 16113}, + "piqa_Does_this_solution_make_sense_sol1": {"validation": 1838, "test": 3084, "train": 16113}, + "piqa_Does_this_solution_make_sense_sol2": {"validation": 1838, "test": 3084, "train": 16113}, + "piqa_choose_the_most_appropriate_solution": {"validation": 1838, "test": 3084, "train": 16113}, + "piqa_finish_sentence_with_correct_choice": {"validation": 1838, "test": 3084, "train": 16113}, "piqa_no_prompt_needed": {"validation": 1838, "test": 3084, "train": 16113}, - "piqa_pick_correct_choice_index": { - "validation": 1838, - "test": 3084, - "train": 16113, - }, - "piqa_pick_correct_choice_with_choice_given_before_goal": { - "validation": 1838, - "test": 3084, - "train": 16113, - }, - "piqa_what_is_the_correct_ending": { - "validation": 1838, - "test": 3084, - "train": 16113, - }, + "piqa_pick_correct_choice_index": {"validation": 1838, "test": 3084, "train": 16113}, + "piqa_pick_correct_choice_with_choice_given_before_goal": {"validation": 1838, "test": 3084, "train": 16113}, + "piqa_what_is_the_correct_ending": {"validation": 1838, "test": 3084, "train": 16113}, "qasc_is_correct_1": {"validation": 926, "test": 920, "train": 8134}, "qasc_is_correct_2": {"validation": 926, "test": 920, "train": 8134}, "qasc_qa_with_combined_facts_1": {"validation": 926, "test": 920, "train": 8134}, @@ -1019,61 +304,17 @@ DATA_SPLITS_SIZES = { "qasc_qa_with_separated_facts_3": {"validation": 926, "test": 920, "train": 8134}, "qasc_qa_with_separated_facts_4": {"validation": 926, "test": 920, "train": 8134}, "qasc_qa_with_separated_facts_5": {"validation": 926, "test": 920, "train": 8134}, - "quail_context_description_question_answer_id": { - "challenge": 556, - "validation": 2164, - "train": 10246, - }, - "quail_context_description_question_answer_text": { - "challenge": 556, - "validation": 2164, - "train": 10246, - }, - "quail_context_description_question_text": { - "challenge": 556, - "validation": 2164, - "train": 10246, - }, - "quail_context_question_answer_description_id": { - "challenge": 556, - "validation": 2164, - "train": 10246, - }, - "quail_context_question_answer_description_text": { - "challenge": 556, - "validation": 2164, - "train": 10246, - }, - "quail_context_question_description_answer_id": { - "challenge": 556, - "validation": 2164, - "train": 10246, - }, - "quail_context_question_description_answer_text": { - "challenge": 556, - "validation": 2164, - "train": 10246, - }, - "quail_context_question_description_text": { - "challenge": 556, - "validation": 2164, - "train": 10246, - }, - "quail_description_context_question_answer_id": { - "challenge": 556, - "validation": 2164, - "train": 10246, - }, - "quail_description_context_question_answer_text": { - "challenge": 556, - "validation": 2164, - "train": 10246, - }, - "quail_description_context_question_text": { - "challenge": 556, - "validation": 2164, - "train": 10246, - }, + "quail_context_description_question_answer_id": {"challenge": 556, "validation": 2164, "train": 10246}, + "quail_context_description_question_answer_text": {"challenge": 556, "validation": 2164, "train": 10246}, + "quail_context_description_question_text": {"challenge": 556, "validation": 2164, "train": 10246}, + "quail_context_question_answer_description_id": {"challenge": 556, "validation": 2164, "train": 10246}, + "quail_context_question_answer_description_text": {"challenge": 556, "validation": 2164, "train": 10246}, + "quail_context_question_description_answer_id": {"challenge": 556, "validation": 2164, "train": 10246}, + "quail_context_question_description_answer_text": {"challenge": 556, "validation": 2164, "train": 10246}, + "quail_context_question_description_text": {"challenge": 556, "validation": 2164, "train": 10246}, + "quail_description_context_question_answer_id": {"challenge": 556, "validation": 2164, "train": 10246}, + "quail_description_context_question_answer_text": {"challenge": 556, "validation": 2164, "train": 10246}, + "quail_description_context_question_text": {"challenge": 556, "validation": 2164, "train": 10246}, "quail_no_prompt_id": {"challenge": 556, "validation": 2164, "train": 10246}, "quail_no_prompt_text": {"challenge": 556, "validation": 2164, "train": 10246}, "quarel_choose_between": {"validation": 278, "test": 552, "train": 1941}, @@ -1083,28 +324,12 @@ DATA_SPLITS_SIZES = { "quarel_testing_students": {"validation": 278, "test": 552, "train": 1941}, "quartz_answer_question_based_on": {"validation": 384, "test": 784, "train": 2696}, "quartz_answer_question_below": {"validation": 384, "test": 784, "train": 2696}, - "quartz_given_the_fact_answer_the_q": { - "validation": 384, - "test": 784, - "train": 2696, - }, + "quartz_given_the_fact_answer_the_q": {"validation": 384, "test": 784, "train": 2696}, "quartz_having_read_above_passage": {"validation": 384, "test": 784, "train": 2696}, - "quartz_paragraph_question_plain_concat": { - "validation": 384, - "test": 784, - "train": 2696, - }, + "quartz_paragraph_question_plain_concat": {"validation": 384, "test": 784, "train": 2696}, "quartz_read_passage_below_choose": {"validation": 384, "test": 784, "train": 2696}, - "quartz_use_info_from_paragraph_question": { - "validation": 384, - "test": 784, - "train": 2696, - }, - "quartz_use_info_from_question_paragraph": { - "validation": 384, - "test": 784, - "train": 2696, - }, + "quartz_use_info_from_paragraph_question": {"validation": 384, "test": 784, "train": 2696}, + "quartz_use_info_from_question_paragraph": {"validation": 384, "test": 784, "train": 2696}, "quoref_Answer_Friend_Question": {"validation": 2418, "train": 19399}, "quoref_Answer_Question_Given_Context": {"validation": 2418, "train": 19399}, "quoref_Answer_Test": {"validation": 2418, "train": 19399}, @@ -1116,78 +341,22 @@ DATA_SPLITS_SIZES = { "quoref_Guess_Title_For_Context": {"validation": 2418, "train": 19399}, "quoref_Read_And_Extract_": {"validation": 2418, "train": 19399}, "quoref_What_Is_The_Answer": {"validation": 2418, "train": 19399}, - "race_high_Is_this_the_right_answer": { - "validation": 3451, - "test": 3498, - "train": 62445, - }, - "race_high_Read_the_article_and_answer_the_question_no_option_": { - "validation": 3451, - "test": 3498, - "train": 62445, - }, - "race_high_Select_the_best_answer": { - "validation": 3451, - "test": 3498, - "train": 62445, - }, - "race_high_Select_the_best_answer_generate_span_": { - "validation": 3451, - "test": 3498, - "train": 62445, - }, - "race_high_Select_the_best_answer_no_instructions_": { - "validation": 3451, - "test": 3498, - "train": 62445, - }, + "race_high_Is_this_the_right_answer": {"validation": 3451, "test": 3498, "train": 62445}, + "race_high_Read_the_article_and_answer_the_question_no_option_": {"validation": 3451, "test": 3498, "train": 62445}, + "race_high_Select_the_best_answer": {"validation": 3451, "test": 3498, "train": 62445}, + "race_high_Select_the_best_answer_generate_span_": {"validation": 3451, "test": 3498, "train": 62445}, + "race_high_Select_the_best_answer_no_instructions_": {"validation": 3451, "test": 3498, "train": 62445}, "race_high_Taking_a_test": {"validation": 3451, "test": 3498, "train": 62445}, - "race_high_Write_a_multi_choice_question_for_the_following_article": { - "validation": 3451, - "test": 3498, - "train": 62445, - }, - "race_high_Write_a_multi_choice_question_options_given_": { - "validation": 3451, - "test": 3498, - "train": 62445, - }, - "race_middle_Is_this_the_right_answer": { - "validation": 1436, - "test": 1436, - "train": 25421, - }, - "race_middle_Read_the_article_and_answer_the_question_no_option_": { - "validation": 1436, - "test": 1436, - "train": 25421, - }, - "race_middle_Select_the_best_answer": { - "validation": 1436, - "test": 1436, - "train": 25421, - }, - "race_middle_Select_the_best_answer_generate_span_": { - "validation": 1436, - "test": 1436, - "train": 25421, - }, - "race_middle_Select_the_best_answer_no_instructions_": { - "validation": 1436, - "test": 1436, - "train": 25421, - }, + "race_high_Write_a_multi_choice_question_for_the_following_article": {"validation": 3451, "test": 3498, "train": 62445}, + "race_high_Write_a_multi_choice_question_options_given_": {"validation": 3451, "test": 3498, "train": 62445}, + "race_middle_Is_this_the_right_answer": {"validation": 1436, "test": 1436, "train": 25421}, + "race_middle_Read_the_article_and_answer_the_question_no_option_": {"validation": 1436, "test": 1436, "train": 25421}, + "race_middle_Select_the_best_answer": {"validation": 1436, "test": 1436, "train": 25421}, + "race_middle_Select_the_best_answer_generate_span_": {"validation": 1436, "test": 1436, "train": 25421}, + "race_middle_Select_the_best_answer_no_instructions_": {"validation": 1436, "test": 1436, "train": 25421}, "race_middle_Taking_a_test": {"validation": 1436, "test": 1436, "train": 25421}, - "race_middle_Write_a_multi_choice_question_for_the_following_article": { - "validation": 1436, - "test": 1436, - "train": 25421, - }, - "race_middle_Write_a_multi_choice_question_options_given_": { - "validation": 1436, - "test": 1436, - "train": 25421, - }, + "race_middle_Write_a_multi_choice_question_for_the_following_article": {"validation": 1436, "test": 1436, "train": 25421}, + "race_middle_Write_a_multi_choice_question_options_given_": {"validation": 1436, "test": 1436, "train": 25421}, "ropes_background_new_situation_answer": {"validation": 1688, "train": 10924}, "ropes_background_situation_middle": {"validation": 1688, "train": 10924}, "ropes_given_background_situation": {"validation": 1688, "train": 10924}, @@ -1200,747 +369,200 @@ DATA_SPLITS_SIZES = { "ropes_prompt_bottom_no_hint": {"validation": 1688, "train": 10924}, "ropes_prompt_mix": {"validation": 1688, "train": 10924}, "ropes_read_background_situation": {"validation": 1688, "train": 10924}, - "rotten_tomatoes_Movie_Expressed_Sentiment": { - "validation": 1066, - "test": 1066, - "train": 8530, - }, - "rotten_tomatoes_Movie_Expressed_Sentiment_2": { - "validation": 1066, - "test": 1066, - "train": 8530, - }, - "rotten_tomatoes_Reviewer_Enjoyment": { - "validation": 1066, - "test": 1066, - "train": 8530, - }, - "rotten_tomatoes_Reviewer_Enjoyment_Yes_No": { - "validation": 1066, - "test": 1066, - "train": 8530, - }, - "rotten_tomatoes_Reviewer_Expressed_Sentiment": { - "validation": 1066, - "test": 1066, - "train": 8530, - }, - "rotten_tomatoes_Reviewer_Opinion_bad_good_choices": { - "validation": 1066, - "test": 1066, - "train": 8530, - }, - "rotten_tomatoes_Reviewer_Sentiment_Feeling": { - "validation": 1066, - "test": 1066, - "train": 8530, - }, - "rotten_tomatoes_Sentiment_with_choices_": { - "validation": 1066, - "test": 1066, - "train": 8530, - }, - "rotten_tomatoes_Text_Expressed_Sentiment": { - "validation": 1066, - "test": 1066, - "train": 8530, - }, - "rotten_tomatoes_Writer_Expressed_Sentiment": { - "validation": 1066, - "test": 1066, - "train": 8530, - }, - "samsum_Generate_a_summary_for_this_dialogue": { - "validation": 818, - "test": 819, - "train": 14732, - }, - "samsum_Given_the_above_dialogue_write_a_summary": { - "validation": 818, - "test": 819, - "train": 14732, - }, - "samsum_Sum_up_the_following_dialogue": { - "validation": 818, - "test": 819, - "train": 14732, - }, + "rotten_tomatoes_Movie_Expressed_Sentiment": {"validation": 1066, "test": 1066, "train": 8530}, + "rotten_tomatoes_Movie_Expressed_Sentiment_2": {"validation": 1066, "test": 1066, "train": 8530}, + "rotten_tomatoes_Reviewer_Enjoyment": {"validation": 1066, "test": 1066, "train": 8530}, + "rotten_tomatoes_Reviewer_Enjoyment_Yes_No": {"validation": 1066, "test": 1066, "train": 8530}, + "rotten_tomatoes_Reviewer_Expressed_Sentiment": {"validation": 1066, "test": 1066, "train": 8530}, + "rotten_tomatoes_Reviewer_Opinion_bad_good_choices": {"validation": 1066, "test": 1066, "train": 8530}, + "rotten_tomatoes_Reviewer_Sentiment_Feeling": {"validation": 1066, "test": 1066, "train": 8530}, + "rotten_tomatoes_Sentiment_with_choices_": {"validation": 1066, "test": 1066, "train": 8530}, + "rotten_tomatoes_Text_Expressed_Sentiment": {"validation": 1066, "test": 1066, "train": 8530}, + "rotten_tomatoes_Writer_Expressed_Sentiment": {"validation": 1066, "test": 1066, "train": 8530}, + "samsum_Generate_a_summary_for_this_dialogue": {"validation": 818, "test": 819, "train": 14732}, + "samsum_Given_the_above_dialogue_write_a_summary": {"validation": 818, "test": 819, "train": 14732}, + "samsum_Sum_up_the_following_dialogue": {"validation": 818, "test": 819, "train": 14732}, "samsum_Summarize_": {"validation": 818, "test": 819, "train": 14732}, "samsum_Summarize_this_dialogue_": {"validation": 818, "test": 819, "train": 14732}, "samsum_To_sum_up_this_dialog": {"validation": 818, "test": 819, "train": 14732}, - "samsum_Write_a_dialogue_that_match_this_summary": { - "validation": 818, - "test": 819, - "train": 14732, - }, + "samsum_Write_a_dialogue_that_match_this_summary": {"validation": 818, "test": 819, "train": 14732}, "sciq_Direct_Question": {"validation": 1000, "test": 1000, "train": 11679}, - "sciq_Direct_Question_Closed_Book_": { - "validation": 1000, - "test": 1000, - "train": 11679, - }, + "sciq_Direct_Question_Closed_Book_": {"validation": 1000, "test": 1000, "train": 11679}, "sciq_Multiple_Choice": {"validation": 1000, "test": 1000, "train": 11679}, - "sciq_Multiple_Choice_Closed_Book_": { - "validation": 1000, - "test": 1000, - "train": 11679, - }, - "sciq_Multiple_Choice_Question_First": { - "validation": 1000, - "test": 1000, - "train": 11679, - }, - "social_i_qa_Check_if_a_random_answer_is_valid_or_not": { - "validation": 1954, - "train": 33410, - }, + "sciq_Multiple_Choice_Closed_Book_": {"validation": 1000, "test": 1000, "train": 11679}, + "sciq_Multiple_Choice_Question_First": {"validation": 1000, "test": 1000, "train": 11679}, + "social_i_qa_Check_if_a_random_answer_is_valid_or_not": {"validation": 1954, "train": 33410}, "social_i_qa_Generate_answer": {"validation": 1954, "train": 33410}, - "social_i_qa_Generate_the_question_from_the_answer": { - "validation": 1954, - "train": 33410, - }, + "social_i_qa_Generate_the_question_from_the_answer": {"validation": 1954, "train": 33410}, "social_i_qa_I_was_wondering": {"validation": 1954, "train": 33410}, - "social_i_qa_Show_choices_and_generate_answer": { - "validation": 1954, - "train": 33410, - }, + "social_i_qa_Show_choices_and_generate_answer": {"validation": 1954, "train": 33410}, "social_i_qa_Show_choices_and_generate_index": {"validation": 1954, "train": 33410}, "squad_v2_Jeopardy_with_Context": {"validation": 5928, "train": 86821}, "squad_v2_Jeopardy_without_Context": {"validation": 5928, "train": 86821}, "squad_v2_Questions_with_Context": {"validation": 11873, "train": 130319}, - "squad_v2_Questions_with_Context_Without_Prompt_Keywords": { - "validation": 11873, - "train": 130319, - }, - "squad_v2_Questions_with_Context_Without_Prompt_Keywords_unanswerable": { - "validation": 11873, - "train": 130319, - }, - "squad_v2_Questions_with_Context_unanswerable": { - "validation": 11873, - "train": 130319, - }, + "squad_v2_Questions_with_Context_Without_Prompt_Keywords": {"validation": 11873, "train": 130319}, + "squad_v2_Questions_with_Context_Without_Prompt_Keywords_unanswerable": {"validation": 11873, "train": 130319}, + "squad_v2_Questions_with_Context_unanswerable": {"validation": 11873, "train": 130319}, "squad_v2_Topic_Prediction_Context": {"validation": 11873, "train": 130319}, - "squad_v2_Topic_Prediction_Context_with_randomized_prompt_options": { - "validation": 11873, - "train": 130319, - }, - "squad_v2_Topic_Prediction_Context_with_randomized_prompt_options_placed_in_the_end": { - "validation": 11873, - "train": 130319, - }, - 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"train": 554}, + "super_glue_wsc.fixed_the_pronoun_refers_to_score_eval": {"validation": 208, "test": 292, "train": 1108}, "trec_fine_grained_ABBR": {"test": 9, "train": 86}, "trec_fine_grained_ABBR_context_first": {"test": 9, "train": 86}, "trec_fine_grained_DESC": {"test": 138, "train": 1162}, @@ -1959,27 +581,11 @@ DATA_SPLITS_SIZES = { "trec_trec2": {"test": 500, "train": 5452}, "trec_what_category_best_describe": {"test": 500, "train": 5452}, "trec_which_category_best_describes": {"test": 500, "train": 5452}, - "trivia_qa_unfiltered_first_person_context": { - "validation": 11313, - "test": 10832, - "train": 87622, - }, - "trivia_qa_unfiltered_formal_description": { - "validation": 11313, - "test": 10832, - "train": 87622, - }, + "trivia_qa_unfiltered_first_person_context": {"validation": 11313, "test": 10832, "train": 87622}, + "trivia_qa_unfiltered_formal_description": {"validation": 11313, "test": 10832, "train": 87622}, "trivia_qa_unfiltered_guess_question": {"validation": 11313, "train": 87622}, - "trivia_qa_unfiltered_question_answer": { - "validation": 11313, - "test": 10832, - "train": 87622, - }, - "trivia_qa_unfiltered_question_with_instruction": { - "validation": 11313, - "test": 10832, - "train": 87622, - }, + "trivia_qa_unfiltered_question_answer": {"validation": 11313, "test": 10832, "train": 87622}, + "trivia_qa_unfiltered_question_with_instruction": {"validation": 11313, "test": 10832, "train": 87622}, "web_questions_get_the_answer": {"test": 2032, "train": 3778}, "web_questions_potential_correct_answer": {"test": 2032, "train": 3778}, "web_questions_question_answer": {"test": 2032, "train": 3778}, @@ -1990,238 +596,64 @@ DATA_SPLITS_SIZES = { "wiki_bio_key_content": {"val": 72831, "test": 72829, "train": 582639}, "wiki_bio_what_content": {"val": 72831, "test": 72829, "train": 582639}, "wiki_bio_who": {"val": 72831, "test": 72829, "train": 582639}, - "wiki_hop_original_choose_best_object_affirmative_1": { - "validation": 5129, - "train": 43738, - }, - "wiki_hop_original_choose_best_object_affirmative_2": { - "validation": 5129, - "train": 43738, - }, - "wiki_hop_original_choose_best_object_affirmative_3": { - "validation": 5129, - "train": 43738, - }, - "wiki_hop_original_choose_best_object_interrogative_1": { - "validation": 5129, - "train": 43738, - }, - "wiki_hop_original_choose_best_object_interrogative_2": { - "validation": 5129, - "train": 43738, - }, + "wiki_hop_original_choose_best_object_affirmative_1": {"validation": 5129, "train": 43738}, + "wiki_hop_original_choose_best_object_affirmative_2": {"validation": 5129, "train": 43738}, + "wiki_hop_original_choose_best_object_affirmative_3": {"validation": 5129, "train": 43738}, + "wiki_hop_original_choose_best_object_interrogative_1": {"validation": 5129, "train": 43738}, + "wiki_hop_original_choose_best_object_interrogative_2": {"validation": 5129, "train": 43738}, "wiki_hop_original_explain_relation": {"validation": 5129, "train": 43738}, "wiki_hop_original_generate_object": {"validation": 5129, "train": 43738}, "wiki_hop_original_generate_subject": {"validation": 5129, "train": 43738}, - "wiki_hop_original_generate_subject_and_object": { - "validation": 5129, - "train": 43738, - }, + "wiki_hop_original_generate_subject_and_object": {"validation": 5129, "train": 43738}, "wiki_qa_Decide_good_answer": {"validation": 2733, "test": 6165, "train": 20360}, - "wiki_qa_Direct_Answer_to_Question": { - "validation": 140, - "test": 293, - "train": 1040, - }, - "wiki_qa_Generate_Question_from_Topic": { - "validation": 140, - "test": 293, - "train": 1040, - }, + "wiki_qa_Direct_Answer_to_Question": {"validation": 140, "test": 293, "train": 1040}, + "wiki_qa_Generate_Question_from_Topic": {"validation": 140, "test": 293, "train": 1040}, "wiki_qa_Is_This_True_": {"validation": 2733, "test": 6165, "train": 20360}, "wiki_qa_Jeopardy_style": {"validation": 140, "test": 293, "train": 1040}, - "wiki_qa_Topic_Prediction_Answer_Only": { - "validation": 140, - "test": 293, - "train": 1040, - }, - "wiki_qa_Topic_Prediction_Question_Only": { - "validation": 140, - "test": 293, - "train": 1040, - }, - "wiki_qa_Topic_Prediction_Question_and_Answer_Pair": { - "validation": 140, - "test": 293, - "train": 1040, - }, + "wiki_qa_Topic_Prediction_Answer_Only": {"validation": 140, "test": 293, "train": 1040}, + "wiki_qa_Topic_Prediction_Question_Only": {"validation": 140, "test": 293, "train": 1040}, + "wiki_qa_Topic_Prediction_Question_and_Answer_Pair": {"validation": 140, "test": 293, "train": 1040}, "wiki_qa_automatic_system": {"validation": 2733, "test": 6165, "train": 20360}, "wiki_qa_exercise": {"validation": 2733, "test": 6165, "train": 20360}, "wiki_qa_found_on_google": {"validation": 2733, "test": 6165, "train": 20360}, - "winogrande_winogrande_debiased_Replace": { - "validation": 1267, - "test": 1767, - "train": 9248, - }, - "winogrande_winogrande_debiased_Replace_score_eval": { - "validation": 2534, - "test": 3534, - "train": 18496, - }, - "winogrande_winogrande_debiased_does_underscore_refer_to": { - "validation": 1267, - "test": 1767, - "train": 9248, - }, - "winogrande_winogrande_debiased_does_underscore_refer_to_score_eval": { - "validation": 2534, - "test": 3534, - "train": 18496, - }, - "winogrande_winogrande_debiased_fill_in_the_blank": { - "validation": 1267, - "test": 1767, - "train": 9248, - }, - "winogrande_winogrande_debiased_fill_in_the_blank_score_eval": { - "validation": 2534, - "test": 3534, - "train": 18496, - }, - "winogrande_winogrande_debiased_stand_for": { - "validation": 1267, - "test": 1767, - "train": 9248, - }, - "winogrande_winogrande_debiased_stand_for_score_eval": { - "validation": 2534, - "test": 3534, - "train": 18496, - }, - "winogrande_winogrande_debiased_underscore_refer_to": { - "validation": 1267, - "test": 1767, - "train": 9248, - }, - "winogrande_winogrande_debiased_underscore_refer_to_score_eval": { - "validation": 2534, - "test": 3534, - "train": 18496, - }, - "winogrande_winogrande_xl_Replace": { - "validation": 1267, - "test": 1767, - "train": 40398, - }, - "winogrande_winogrande_xl_Replace_score_eval": { - "validation": 2534, - "test": 3534, - "train": 80796, - }, - "winogrande_winogrande_xl_does_underscore_refer_to": { - "validation": 1267, - "test": 1767, - "train": 40398, - }, - "winogrande_winogrande_xl_does_underscore_refer_to_score_eval": { - "validation": 2534, - "test": 3534, - "train": 80796, - }, - "winogrande_winogrande_xl_fill_in_the_blank": { - "validation": 1267, - "test": 1767, - "train": 40398, - }, - "winogrande_winogrande_xl_fill_in_the_blank_score_eval": { - "validation": 2534, - "test": 3534, - "train": 80796, - }, - "winogrande_winogrande_xl_stand_for": { - "validation": 1267, - "test": 1767, - "train": 40398, - }, - "winogrande_winogrande_xl_stand_for_score_eval": { - "validation": 2534, - "test": 3534, - "train": 80796, - }, - "winogrande_winogrande_xl_underscore_refer_to": { - "validation": 1267, - "test": 1767, - "train": 40398, - }, - "winogrande_winogrande_xl_underscore_refer_to_score_eval": { - "validation": 2534, - "test": 3534, - "train": 80796, - }, - "wiqa_does_the_supposed_perturbation_have_an_effect": { - "validation": 6894, - "test": 3003, - "train": 29808, - }, + "winogrande_winogrande_debiased_Replace": {"validation": 1267, "test": 1767, "train": 9248}, + "winogrande_winogrande_debiased_Replace_score_eval": {"validation": 2534, "test": 3534, "train": 18496}, + "winogrande_winogrande_debiased_does_underscore_refer_to": {"validation": 1267, "test": 1767, "train": 9248}, + "winogrande_winogrande_debiased_does_underscore_refer_to_score_eval": {"validation": 2534, "test": 3534, "train": 18496}, + "winogrande_winogrande_debiased_fill_in_the_blank": {"validation": 1267, "test": 1767, "train": 9248}, + "winogrande_winogrande_debiased_fill_in_the_blank_score_eval": {"validation": 2534, "test": 3534, "train": 18496}, + "winogrande_winogrande_debiased_stand_for": {"validation": 1267, "test": 1767, "train": 9248}, + "winogrande_winogrande_debiased_stand_for_score_eval": {"validation": 2534, "test": 3534, "train": 18496}, + "winogrande_winogrande_debiased_underscore_refer_to": {"validation": 1267, "test": 1767, "train": 9248}, + "winogrande_winogrande_debiased_underscore_refer_to_score_eval": {"validation": 2534, "test": 3534, "train": 18496}, + "winogrande_winogrande_xl_Replace": {"validation": 1267, "test": 1767, "train": 40398}, + "winogrande_winogrande_xl_Replace_score_eval": {"validation": 2534, "test": 3534, "train": 80796}, + "winogrande_winogrande_xl_does_underscore_refer_to": {"validation": 1267, "test": 1767, "train": 40398}, + "winogrande_winogrande_xl_does_underscore_refer_to_score_eval": {"validation": 2534, "test": 3534, "train": 80796}, + "winogrande_winogrande_xl_fill_in_the_blank": {"validation": 1267, "test": 1767, "train": 40398}, + "winogrande_winogrande_xl_fill_in_the_blank_score_eval": {"validation": 2534, "test": 3534, "train": 80796}, + "winogrande_winogrande_xl_stand_for": {"validation": 1267, "test": 1767, "train": 40398}, + "winogrande_winogrande_xl_stand_for_score_eval": {"validation": 2534, "test": 3534, "train": 80796}, + "winogrande_winogrande_xl_underscore_refer_to": {"validation": 1267, "test": 1767, "train": 40398}, + "winogrande_winogrande_xl_underscore_refer_to_score_eval": {"validation": 2534, "test": 3534, "train": 80796}, + "wiqa_does_the_supposed_perturbation_have_an_effect": {"validation": 6894, "test": 3003, "train": 29808}, "wiqa_effect_with_label_answer": {"validation": 6894, "test": 3003, "train": 29808}, - "wiqa_effect_with_string_answer": { - "validation": 6894, - "test": 3003, - "train": 29808, - }, - "wiqa_what_is_the_final_step_of_the_following_process": { - "validation": 6894, - "test": 3003, - "train": 29808, - }, - "wiqa_what_is_the_missing_first_step": { - "validation": 6894, - "test": 3003, - "train": 29808, - }, - "wiqa_what_might_be_the_first_step_of_the_process": { - "validation": 6894, - "test": 3003, - "train": 29808, - }, - "wiqa_what_might_be_the_last_step_of_the_process": { - "validation": 6894, - "test": 3003, - "train": 29808, - }, - "wiqa_which_of_the_following_is_the_supposed_perturbation": { - "validation": 6894, - "test": 3003, - "train": 29808, - }, - "xsum_DOC_boils_down_to_simple_idea_that": { - "validation": 11332, - "test": 11334, - "train": 204045, - }, - "xsum_DOC_given_above_write_one_sentence": { - "validation": 11332, - "test": 11334, - "train": 204045, - }, - "xsum_DOC_how_would_you_rephrase_few_words": { - "validation": 11332, - "test": 11334, - "train": 204045, - }, + "wiqa_effect_with_string_answer": {"validation": 6894, "test": 3003, "train": 29808}, + "wiqa_what_is_the_final_step_of_the_following_process": {"validation": 6894, "test": 3003, "train": 29808}, + "wiqa_what_is_the_missing_first_step": {"validation": 6894, "test": 3003, "train": 29808}, + "wiqa_what_might_be_the_first_step_of_the_process": {"validation": 6894, "test": 3003, "train": 29808}, + "wiqa_what_might_be_the_last_step_of_the_process": {"validation": 6894, "test": 3003, "train": 29808}, + "wiqa_which_of_the_following_is_the_supposed_perturbation": {"validation": 6894, "test": 3003, "train": 29808}, + "xsum_DOC_boils_down_to_simple_idea_that": {"validation": 11332, "test": 11334, "train": 204045}, + "xsum_DOC_given_above_write_one_sentence": {"validation": 11332, "test": 11334, "train": 204045}, + "xsum_DOC_how_would_you_rephrase_few_words": {"validation": 11332, "test": 11334, "train": 204045}, "xsum_DOC_tldr": {"validation": 11332, "test": 11334, "train": 204045}, - "xsum_DOC_write_summary_of_above": { - "validation": 11332, - "test": 11334, - "train": 204045, - }, + "xsum_DOC_write_summary_of_above": {"validation": 11332, "test": 11334, "train": 204045}, "xsum_article_DOC_summary": {"validation": 11332, "test": 11334, "train": 204045}, - "xsum_college_roommate_asked_DOC_so_I_recap": { - "validation": 11332, - "test": 11334, - "train": 204045, - }, - "xsum_read_below_DOC_write_abstract": { - "validation": 11332, - "test": 11334, - "train": 204045, - }, + "xsum_college_roommate_asked_DOC_so_I_recap": {"validation": 11332, "test": 11334, "train": 204045}, + "xsum_read_below_DOC_write_abstract": {"validation": 11332, "test": 11334, "train": 204045}, "xsum_summarize_DOC": {"validation": 11332, "test": 11334, "train": 204045}, - "xsum_summarize_this_DOC_summary": { - "validation": 11332, - "test": 11334, - "train": 204045, - }, + "xsum_summarize_this_DOC_summary": {"validation": 11332, "test": 11334, "train": 204045}, "yelp_review_full_based_on_that": {"test": 50000, "train": 650000}, "yelp_review_full_format_rating": {"test": 50000, "train": 650000}, "yelp_review_full_format_score": {"test": 50000, "train": 650000}, @@ -2232,7317 +664,465 @@ DATA_SPLITS_SIZES = { } split_infos = { - "adversarial_qa_dbert_answer_the_following_q": { - "features": { - "inputs": {"dtype": "int32", "shape": [None]}, - "inputs_pretokenized": {"dtype": "string", "shape": []}, - "targets": {"dtype": "int32", "shape": [None]}, - "targets_pretokenized": {"dtype": "string", "shape": []}, - }, - "num_shards": 1, - "seqio_version": "0.0.6", - }, - "adversarial_qa_dbert_based_on": { - "features": { - "inputs": {"dtype": "int32", "shape": [None]}, - "inputs_pretokenized": {"dtype": "string", "shape": []}, - "targets": {"dtype": "int32", "shape": [None]}, - "targets_pretokenized": {"dtype": "string", "shape": []}, - }, - "num_shards": 1, - "seqio_version": "0.0.6", - }, - "adversarial_qa_dbert_generate_question": { - "features": { - "inputs": {"dtype": "int32", "shape": [None]}, - "inputs_pretokenized": {"dtype": "string", "shape": []}, - "targets": {"dtype": "int32", "shape": [None]}, - "targets_pretokenized": {"dtype": "string", "shape": []}, - }, - "num_shards": 1, - "seqio_version": "0.0.6", - }, - "adversarial_qa_dbert_question_context_answer": { - "features": { - "inputs": {"dtype": "int32", "shape": [None]}, - "inputs_pretokenized": {"dtype": "string", "shape": []}, - "targets": {"dtype": "int32", "shape": [None]}, - "targets_pretokenized": {"dtype": "string", "shape": []}, - }, - "num_shards": 1, - "seqio_version": "0.0.6", - }, - "adversarial_qa_dbert_tell_what_it_is": { - "features": { - "inputs": {"dtype": "int32", "shape": [None]}, - "inputs_pretokenized": {"dtype": "string", "shape": []}, - "targets": {"dtype": "int32", "shape": [None]}, - "targets_pretokenized": {"dtype": "string", "shape": []}, - }, - "num_shards": 1, - "seqio_version": "0.0.6", - }, - "adversarial_qa_dbidaf_answer_the_following_q": { - "features": { - "inputs": {"dtype": "int32", "shape": [None]}, - "inputs_pretokenized": {"dtype": "string", "shape": []}, - "targets": {"dtype": "int32", "shape": [None]}, - "targets_pretokenized": {"dtype": "string", "shape": []}, - }, - "num_shards": 1, - "seqio_version": "0.0.6", - }, - "adversarial_qa_dbidaf_based_on": { - "features": { - "inputs": {"dtype": "int32", "shape": [None]}, - "inputs_pretokenized": {"dtype": "string", "shape": []}, - "targets": {"dtype": "int32", "shape": [None]}, - "targets_pretokenized": {"dtype": "string", "shape": []}, - }, - "num_shards": 1, - "seqio_version": "0.0.6", - }, - "adversarial_qa_dbidaf_generate_question": { - "features": { - "inputs": {"dtype": "int32", "shape": [None]}, - "inputs_pretokenized": {"dtype": "string", "shape": []}, - "targets": {"dtype": "int32", "shape": [None]}, - "targets_pretokenized": {"dtype": "string", "shape": []}, - }, - "num_shards": 1, - "seqio_version": "0.0.6", - }, - "adversarial_qa_dbidaf_question_context_answer": { - "features": { - "inputs": {"dtype": "int32", "shape": [None]}, - "inputs_pretokenized": {"dtype": "string", "shape": []}, - "targets": {"dtype": "int32", "shape": [None]}, - "targets_pretokenized": {"dtype": "string", "shape": []}, - }, - "num_shards": 1, - "seqio_version": "0.0.6", - }, - "adversarial_qa_dbidaf_tell_what_it_is": { - "features": { - "inputs": {"dtype": "int32", "shape": [None]}, - "inputs_pretokenized": {"dtype": "string", "shape": []}, - "targets": {"dtype": "int32", "shape": [None]}, - "targets_pretokenized": {"dtype": "string", "shape": []}, - }, - "num_shards": 1, - "seqio_version": "0.0.6", - }, - "adversarial_qa_droberta_answer_the_following_q": { - "features": { - "inputs": {"dtype": "int32", "shape": [None]}, - "inputs_pretokenized": {"dtype": "string", "shape": []}, - "targets": {"dtype": "int32", "shape": [None]}, - "targets_pretokenized": {"dtype": "string", "shape": []}, - }, - "num_shards": 1, - "seqio_version": "0.0.6", - }, - "adversarial_qa_droberta_based_on": { - "features": { - "inputs": {"dtype": "int32", "shape": [None]}, - "inputs_pretokenized": {"dtype": "string", "shape": []}, - "targets": {"dtype": "int32", "shape": [None]}, - "targets_pretokenized": {"dtype": "string", "shape": []}, - }, - "num_shards": 1, - "seqio_version": "0.0.6", - }, - "adversarial_qa_droberta_generate_question": { - "features": { - "inputs": 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