diff --git "a/tasks_splits_and_features.py" "b/tasks_splits_and_features.py" new file mode 100644--- /dev/null +++ "b/tasks_splits_and_features.py" @@ -0,0 +1,1147 @@ +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_tell_what_it_is": {"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_tell_what_it_is": {"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_tell_what_it_is": {"validation": 1000, "train": 10000}, + "ag_news_classify": {"test": 7600, "train": 120000}, + "ag_news_classify_question_first": {"test": 7600, "train": 120000}, + "ag_news_classify_with_choices": {"test": 7600, "train": 120000}, + "ag_news_classify_with_choices_question_first": {"test": 7600, "train": 120000}, + "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_Easy_qa_options": {"validation": 570, "test": 2376, "train": 2251}, + "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_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}, + "anli_GPT_3_style_r2": {"validation": 1000, "test": 1000, "train": 45460}, + "anli_GPT_3_style_r2_score_eval": {"validation": 3000, "test": 3000, "train": 136380}, + "anli_GPT_3_style_r3": {"validation": 1200, "test": 1200, "train": 100459}, + "anli_GPT_3_style_r3_score_eval": {"validation": 3600, "test": 3600, "train": 301377}, + "anli_MNLI_crowdsource_r1": {"validation": 1000, "test": 1000, "train": 16946}, + "anli_MNLI_crowdsource_r1_score_eval": {"validation": 3000, "test": 3000, "train": 50838}, + "anli_MNLI_crowdsource_r2": {"validation": 1000, "test": 1000, "train": 45460}, + "anli_MNLI_crowdsource_r2_score_eval": {"validation": 3000, "test": 3000, "train": 136380}, + "anli_MNLI_crowdsource_r3": {"validation": 1200, "test": 1200, "train": 100459}, + "anli_MNLI_crowdsource_r3_score_eval": {"validation": 3600, "test": 3600, "train": 301377}, + "anli_always_sometimes_never_r1": {"validation": 1000, "test": 1000, "train": 16946}, + "anli_always_sometimes_never_r1_score_eval": {"validation": 3000, "test": 3000, "train": 50838}, + "anli_always_sometimes_never_r2": {"validation": 1000, "test": 1000, "train": 45460}, + "anli_always_sometimes_never_r2_score_eval": {"validation": 3000, "test": 3000, "train": 136380}, + "anli_always_sometimes_never_r3": {"validation": 1200, "test": 1200, "train": 100459}, + "anli_always_sometimes_never_r3_score_eval": {"validation": 3600, "test": 3600, "train": 301377}, + "anli_based_on_the_previous_passage_r1": {"validation": 1000, "test": 1000, "train": 16946}, + "anli_based_on_the_previous_passage_r1_score_eval": {"validation": 3000, "test": 3000, "train": 50838}, + "anli_based_on_the_previous_passage_r2": {"validation": 1000, "test": 1000, "train": 45460}, + "anli_based_on_the_previous_passage_r2_score_eval": {"validation": 3000, "test": 3000, "train": 136380}, + "anli_based_on_the_previous_passage_r3": {"validation": 1200, "test": 1200, "train": 100459}, + "anli_based_on_the_previous_passage_r3_score_eval": {"validation": 3600, "test": 3600, "train": 301377}, + "anli_can_we_infer_r1": {"validation": 1000, "test": 1000, "train": 16946}, + "anli_can_we_infer_r1_score_eval": {"validation": 3000, "test": 3000, "train": 50838}, + "anli_can_we_infer_r2": {"validation": 1000, "test": 1000, "train": 45460}, + "anli_can_we_infer_r2_score_eval": {"validation": 3000, "test": 3000, "train": 136380}, + "anli_can_we_infer_r3": {"validation": 1200, "test": 1200, "train": 100459}, + "anli_can_we_infer_r3_score_eval": {"validation": 3600, "test": 3600, "train": 301377}, + "anli_claim_true_false_inconclusive_r1": {"validation": 1000, "test": 1000, "train": 16946}, + "anli_claim_true_false_inconclusive_r1_score_eval": {"validation": 3000, "test": 3000, "train": 50838}, + "anli_claim_true_false_inconclusive_r2": {"validation": 1000, "test": 1000, "train": 45460}, + "anli_claim_true_false_inconclusive_r2_score_eval": {"validation": 3000, "test": 3000, "train": 136380}, + "anli_claim_true_false_inconclusive_r3": {"validation": 1200, "test": 1200, "train": 100459}, + "anli_claim_true_false_inconclusive_r3_score_eval": {"validation": 3600, "test": 3600, "train": 301377}, + "anli_consider_always_sometimes_never_r1": {"validation": 1000, "test": 1000, "train": 16946}, + "anli_consider_always_sometimes_never_r1_score_eval": {"validation": 3000, "test": 3000, "train": 50838}, + "anli_consider_always_sometimes_never_r2": {"validation": 1000, "test": 1000, "train": 45460}, + "anli_consider_always_sometimes_never_r2_score_eval": {"validation": 3000, "test": 3000, "train": 136380}, + "anli_consider_always_sometimes_never_r3": {"validation": 1200, "test": 1200, "train": 100459}, + "anli_consider_always_sometimes_never_r3_score_eval": {"validation": 3600, "test": 3600, "train": 301377}, + "anli_does_it_follow_that_r1": {"validation": 1000, "test": 1000, "train": 16946}, + "anli_does_it_follow_that_r1_score_eval": {"validation": 3000, "test": 3000, "train": 50838}, + "anli_does_it_follow_that_r2": {"validation": 1000, "test": 1000, "train": 45460}, + "anli_does_it_follow_that_r2_score_eval": {"validation": 3000, "test": 3000, "train": 136380}, + "anli_does_it_follow_that_r3": {"validation": 1200, "test": 1200, "train": 100459}, + "anli_does_it_follow_that_r3_score_eval": {"validation": 3600, "test": 3600, "train": 301377}, + "anli_does_this_imply_r1": {"validation": 1000, "test": 1000, "train": 16946}, + "anli_does_this_imply_r1_score_eval": {"validation": 3000, "test": 3000, "train": 50838}, + "anli_does_this_imply_r2": {"validation": 1000, "test": 1000, "train": 45460}, + "anli_does_this_imply_r2_score_eval": {"validation": 3000, "test": 3000, "train": 136380}, + "anli_does_this_imply_r3": {"validation": 1200, "test": 1200, "train": 100459}, + "anli_does_this_imply_r3_score_eval": {"validation": 3600, "test": 3600, "train": 301377}, + "anli_guaranteed_possible_impossible_r1": {"validation": 1000, "test": 1000, "train": 16946}, + "anli_guaranteed_possible_impossible_r1_score_eval": {"validation": 3000, "test": 3000, "train": 50838}, + "anli_guaranteed_possible_impossible_r2": {"validation": 1000, "test": 1000, "train": 45460}, + "anli_guaranteed_possible_impossible_r2_score_eval": {"validation": 3000, "test": 3000, "train": 136380}, + "anli_guaranteed_possible_impossible_r3": {"validation": 1200, "test": 1200, "train": 100459}, + "anli_guaranteed_possible_impossible_r3_score_eval": {"validation": 3600, "test": 3600, "train": 301377}, + "anli_guaranteed_true_r1": {"validation": 1000, "test": 1000, "train": 16946}, + "anli_guaranteed_true_r1_score_eval": {"validation": 3000, "test": 3000, "train": 50838}, + "anli_guaranteed_true_r2": {"validation": 1000, "test": 1000, "train": 45460}, + "anli_guaranteed_true_r2_score_eval": {"validation": 3000, "test": 3000, "train": 136380}, + "anli_guaranteed_true_r3": {"validation": 1200, "test": 1200, "train": 100459}, + "anli_guaranteed_true_r3_score_eval": {"validation": 3600, "test": 3600, "train": 301377}, + "anli_justified_in_saying_r1": {"validation": 1000, "test": 1000, "train": 16946}, + "anli_justified_in_saying_r1_score_eval": {"validation": 3000, "test": 3000, "train": 50838}, + "anli_justified_in_saying_r2": {"validation": 1000, "test": 1000, "train": 45460}, + "anli_justified_in_saying_r2_score_eval": {"validation": 3000, "test": 3000, "train": 136380}, + "anli_justified_in_saying_r3": {"validation": 1200, "test": 1200, "train": 100459}, + "anli_justified_in_saying_r3_score_eval": {"validation": 3600, "test": 3600, "train": 301377}, + "anli_must_be_true_r1": {"validation": 1000, "test": 1000, "train": 16946}, + "anli_must_be_true_r1_score_eval": {"validation": 3000, "test": 3000, "train": 50838}, + "anli_must_be_true_r2": {"validation": 1000, "test": 1000, "train": 45460}, + "anli_must_be_true_r2_score_eval": {"validation": 3000, "test": 3000, "train": 136380}, + "anli_must_be_true_r3": {"validation": 1200, "test": 1200, "train": 100459}, + "anli_must_be_true_r3_score_eval": {"validation": 3600, "test": 3600, "train": 301377}, + "anli_should_assume_r1": {"validation": 1000, "test": 1000, "train": 16946}, + "anli_should_assume_r1_score_eval": {"validation": 3000, "test": 3000, "train": 50838}, + "anli_should_assume_r2": {"validation": 1000, "test": 1000, "train": 45460}, + "anli_should_assume_r2_score_eval": {"validation": 3000, "test": 3000, "train": 136380}, + "anli_should_assume_r3": {"validation": 1200, "test": 1200, "train": 100459}, + "anli_should_assume_r3_score_eval": {"validation": 3600, "test": 3600, "train": 301377}, + "anli_take_the_following_as_truth_r1": {"validation": 1000, "test": 1000, "train": 16946}, + "anli_take_the_following_as_truth_r1_score_eval": {"validation": 3000, "test": 3000, "train": 50838}, + "anli_take_the_following_as_truth_r2": {"validation": 1000, "test": 1000, "train": 45460}, + "anli_take_the_following_as_truth_r2_score_eval": {"validation": 3000, "test": 3000, "train": 136380}, + "anli_take_the_following_as_truth_r3": {"validation": 1200, "test": 1200, "train": 100459}, + "anli_take_the_following_as_truth_r3_score_eval": {"validation": 3600, "test": 3600, "train": 301377}, + "app_reviews_categorize_rating_using_review": {"train": 288065}, + "app_reviews_convert_to_rating": {"train": 288065}, + "app_reviews_convert_to_star_rating": {"train": 288065}, + "app_reviews_generate_review": {"train": 288065}, + "cnn_dailymail_3.0.0_2_or_3_sentences": {"validation": 13368, "test": 11490, "train": 287113}, + "cnn_dailymail_3.0.0_generate_story": {"validation": 13368, "test": 11490, "train": 287113}, + "cnn_dailymail_3.0.0_news_card_view": {"validation": 13368, "test": 11490, "train": 287113}, + "cnn_dailymail_3.0.0_news_stock": {"validation": 13368, "test": 11490, "train": 287113}, + "cnn_dailymail_3.0.0_news_summary": {"validation": 13368, "test": 11490, "train": 287113}, + "cnn_dailymail_3.0.0_spice_up_story": {"validation": 13368, "test": 11490, "train": 287113}, + "cnn_dailymail_3.0.0_sum_in_brief": {"validation": 13368, "test": 11490, "train": 287113}, + "cnn_dailymail_3.0.0_tldr_summary": {"validation": 13368, "test": 11490, "train": 287113}, + "cnn_dailymail_3.0.0_write_an_outline": {"validation": 13368, "test": 11490, "train": 287113}, + "common_gen_Example_prompt": {"validation": 4018, "test": 1497, "train": 67389}, + "common_gen_Given_concepts_type_1": {"validation": 4018, "test": 1497, "train": 67389}, + "common_gen_Given_concepts_type_2": {"validation": 4018, "test": 1497, "train": 67389}, + "common_gen_Put_together": {"validation": 4018, "test": 1497, "train": 67389}, + "common_gen_choice_in_concept_centric_sentence_generation": {"validation": 4018, "test": 1497, "train": 67389}, + "common_gen_random_task_template_prompt": {"validation": 4018, "test": 1497, "train": 67389}, + "common_gen_sentence_to_concepts": {"validation": 4018, "test": 1497, "train": 67389}, + "common_gen_topic_to_sentence": {"validation": 4018, "test": 1497, "train": 67389}, + "common_gen_topics_from_the_sentence": {"validation": 4018, "test": 1497, "train": 67389}, + "cos_e_v1.11_aligned_with_common_sense": {"validation": 1221, "train": 9741}, + "cos_e_v1.11_description_question_option_id": {"validation": 1221, "train": 9741}, + "cos_e_v1.11_description_question_option_text": {"validation": 1221, "train": 9741}, + "cos_e_v1.11_explain_why_human": {"validation": 1221, "train": 9741}, + "cos_e_v1.11_generate_explanation_given_text": {"validation": 1221, "train": 9741}, + "cos_e_v1.11_i_think": {"validation": 1221, "train": 9741}, + "cos_e_v1.11_question_description_option_id": {"validation": 1221, "train": 9741}, + "cos_e_v1.11_question_description_option_text": {"validation": 1221, "train": 9741}, + "cos_e_v1.11_question_option_description_id": {"validation": 1221, "train": 9741}, + "cos_e_v1.11_question_option_description_text": {"validation": 1221, "train": 9741}, + "cos_e_v1.11_rationale": {"validation": 1221, "train": 9741}, + "cosmos_qa_context_answer_to_question": {"validation": 2985, "test": 6963, "train": 25262}, + "cosmos_qa_context_description_question_answer_id": {"validation": 2985, "test": 6963, "train": 25262}, + "cosmos_qa_context_description_question_answer_text": {"validation": 2985, "test": 6963, "train": 25262}, + "cosmos_qa_context_description_question_text": {"validation": 2985, "test": 6963, "train": 25262}, + "cosmos_qa_context_question_description_answer_id": {"validation": 2985, "test": 6963, "train": 25262}, + "cosmos_qa_context_question_description_answer_text": {"validation": 2985, "test": 6963, "train": 25262}, + "cosmos_qa_context_question_description_text": {"validation": 2985, "test": 6963, "train": 25262}, + "cosmos_qa_description_context_question_answer_id": {"validation": 2985, "test": 6963, "train": 25262}, + "cosmos_qa_description_context_question_answer_text": {"validation": 2985, "test": 6963, "train": 25262}, + "cosmos_qa_description_context_question_text": {"validation": 2985, "test": 6963, "train": 25262}, + "cosmos_qa_no_prompt_id": {"validation": 2985, "test": 6963, "train": 25262}, + "cosmos_qa_no_prompt_text": {"validation": 2985, "test": 6963, "train": 25262}, + "cosmos_qa_only_question_answer": {"validation": 2985, "test": 6963, "train": 25262}, + "dbpedia_14_given_a_choice_of_categories_": {"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}, + "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_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}, + "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_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_an_article": {"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}, + "glue_mrpc_paraphrase": {"validation": 408, "test": 1725, "train": 3668}, + "glue_mrpc_replace": {"validation": 408, "test": 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"inputs_pretokenized": {"dtype": "string", "shape": []}, "is_correct": {"dtype": "bool", "shape": []}, "targets": {"dtype": "int32", "shape": [None]}, "targets_pretokenized": {"dtype": "string", "shape": []}, "weight": {"dtype": "float32", "shape": []}}, "num_shards": 1, "seqio_version": "0.0.6"}, + "winogrande_winogrande_debiased_underscore_refer_to": {"features": {"answer_choices": {"dtype": "string", "shape": [None]}, "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"}, + "winogrande_winogrande_debiased_underscore_refer_to_score_eval": {"features": {"idx": {"dtype": "int32", "shape": [None]}, "inputs": {"dtype": "int32", "shape": [None]}, "inputs_pretokenized": {"dtype": "string", "shape": []}, "is_correct": {"dtype": "bool", "shape": []}, "targets": {"dtype": "int32", "shape": [None]}, "targets_pretokenized": {"dtype": "string", "shape": []}, "weight": {"dtype": "float32", "shape": []}}, "num_shards": 1, "seqio_version": "0.0.6"}, + "winogrande_winogrande_xl_Replace": {"features": {"answer_choices": {"dtype": "string", "shape": [None]}, "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"}, + "winogrande_winogrande_xl_Replace_score_eval": {"features": {"idx": {"dtype": "int32", "shape": [None]}, "inputs": {"dtype": "int32", "shape": [None]}, "inputs_pretokenized": {"dtype": "string", "shape": []}, "is_correct": {"dtype": "bool", "shape": []}, "targets": {"dtype": "int32", "shape": [None]}, "targets_pretokenized": {"dtype": "string", "shape": []}, "weight": {"dtype": "float32", "shape": []}}, "num_shards": 1, "seqio_version": "0.0.6"}, + 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"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"}, + "winogrande_winogrande_xl_fill_in_the_blank_score_eval": {"features": {"idx": {"dtype": "int32", "shape": [None]}, "inputs": {"dtype": "int32", "shape": [None]}, "inputs_pretokenized": {"dtype": "string", "shape": []}, "is_correct": {"dtype": "bool", "shape": []}, "targets": {"dtype": "int32", "shape": [None]}, "targets_pretokenized": {"dtype": "string", "shape": []}, "weight": {"dtype": "float32", "shape": []}}, "num_shards": 1, "seqio_version": "0.0.6"}, + "winogrande_winogrande_xl_stand_for": {"features": {"answer_choices": {"dtype": "string", "shape": [None]}, "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"}, + "winogrande_winogrande_xl_stand_for_score_eval": {"features": {"idx": {"dtype": "int32", "shape": [None]}, "inputs": {"dtype": "int32", "shape": [None]}, "inputs_pretokenized": {"dtype": "string", "shape": []}, "is_correct": {"dtype": "bool", "shape": []}, "targets": {"dtype": "int32", "shape": [None]}, "targets_pretokenized": {"dtype": "string", "shape": []}, "weight": {"dtype": "float32", "shape": []}}, "num_shards": 1, "seqio_version": "0.0.6"}, + "winogrande_winogrande_xl_underscore_refer_to": {"features": {"answer_choices": {"dtype": "string", "shape": [None]}, "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"}, + "winogrande_winogrande_xl_underscore_refer_to_score_eval": {"features": {"idx": {"dtype": "int32", "shape": 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[]}, "targets": {"dtype": "int32", "shape": [None]}, "targets_pretokenized": {"dtype": "string", "shape": []}}, "num_shards": 1, "seqio_version": "0.0.6"}, + "xsum_DOC_write_summary_of_above": {"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"}, + "xsum_article_DOC_summary": {"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"}, + "xsum_college_roommate_asked_DOC_so_I_recap": {"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"}, + "xsum_read_below_DOC_write_abstract": {"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"}, + "xsum_summarize_DOC": {"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"}, + "xsum_summarize_this_DOC_summary": {"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"}, + "yelp_review_full_based_on_that": {"features": {"answer_choices": {"dtype": "string", "shape": [None]}, "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"}, + "yelp_review_full_format_rating": {"features": {"answer_choices": {"dtype": "string", "shape": [None]}, "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"}, + "yelp_review_full_format_score": {"features": {"answer_choices": {"dtype": "string", "shape": [None]}, "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"}, + "yelp_review_full_format_star": {"features": {"answer_choices": {"dtype": "string", "shape": [None]}, "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"}, + "yelp_review_full_on_a_scale": {"features": {"answer_choices": {"dtype": "string", "shape": [None]}, "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"}, + "yelp_review_full_so_i_would": {"features": {"answer_choices": {"dtype": "string", "shape": [None]}, "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"}, + "yelp_review_full_this_place": {"features": {"answer_choices": {"dtype": "string", "shape": [None]}, "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"} +} + + + +def find_task_splits_and_features_dict(): + """Get the task available (list was pre-computed by `print_data_split_sizes.py`), and get the features for each task.""" + task_splits_and_features = defaultdict(dict) + data_split_sizes = DATA_SPLITS_SIZES + + for task_name, split_sizes in data_split_sizes.items(): + for split_name in split_sizes.keys(): + split_info = split_infos[task_name] + features_dict = split_info["features"] + assert split_info["num_shards"] == 1 # TODO -> handle multiple shards + + if not task_splits_and_features[task_name]: + task_splits_and_features[task_name] = { + "splits": [], + "features_dict": features_dict, + } + task_splits_and_features[task_name]["splits"].append(split_name) + assert features_dict == task_splits_and_features[task_name]["features_dict"] + return task_splits_and_features + + +_TASK_SPLITS_AND_FEATURES_DICT = find_task_splits_and_features_dict()