Datasets:
Tasks:
Text2Text Generation
Languages:
English
Multilinguality:
monolingual
Language Creators:
machine-generated
Annotations Creators:
machine-generated
Source Datasets:
original
License:
| # basic-sentence-transforms.py: the HF datasets "loading script" for the internal NC_PAT dataset (defines configurations/tasks, columns, etc.) | |
| import os | |
| import json | |
| import datasets | |
| from datasets import Split, SplitGenerator | |
| # relative path was not working here, so switched to absolute path | |
| DATASET_URL = "https://huggingface.co/datasets/rfernand/basic_sentence_transforms/resolve/main" | |
| no_extra = { | |
| "source": datasets.Value("string"), | |
| "target": datasets.Value("string"), | |
| } | |
| samp_class = { | |
| "source": datasets.Value("string"), | |
| "target": datasets.Value("string"), | |
| "class": datasets.Value("string"), | |
| } | |
| count_class = { | |
| "source": datasets.Value("string"), | |
| "target": datasets.Value("string"), | |
| "count": datasets.Value("string"), | |
| "class": datasets.Value("string"), | |
| } | |
| dir_only = { | |
| "source": datasets.Value("string"), | |
| "target": datasets.Value("string"), | |
| "direction": datasets.Value("string"), | |
| } | |
| warmup_configs = [ | |
| {"name": "car_cdr_cons", | |
| "desc": "small phrase translation tasks that require only: CAR, CDR, or CAR+CDR+CONS operations", | |
| "features": samp_class}, | |
| {"name": "car_cdr_cons_tuc", | |
| "desc": "same task as car_cdr_cons, but requires mapping lowercase fillers to their uppercase tokens", | |
| "features": samp_class}, | |
| {"name": "car_cdr_rcons", | |
| "desc": "same task as car_cdr_cons, but the CONS samples have their left/right children swapped", | |
| "features": samp_class}, | |
| {"name": "car_cdr_rcons_tuc", | |
| "desc": "same task as car_cdr_rcons, but requires mapping lowercase fillers to their uppercase tokens", | |
| "features": samp_class}, | |
| {"name": "car_cdr_seq", | |
| "desc": "each samples requires 1-4 combinations of CAR and CDR, as identified by the root filler token", | |
| "features": count_class}, | |
| {"name": "car_cdr_seq_40k", | |
| "desc": "same task as car_cdr_seq, but train samples increased from 10K to 40K", | |
| "features": count_class}, | |
| {"name": "car_cdr_seq_tuc", | |
| "desc": "same task as car_cdr_seq, but requires mapping lowercase fillers to their uppercase tokens", | |
| "features": count_class}, | |
| {"name": "car_cdr_seq_40k_tuc", | |
| "desc": "same task as car_cdr_seq_tuc, but train samples increased from 10K to 40K", | |
| "features": count_class}, | |
| {"name": "car_cdr_seq_path", | |
| "desc": "similiar to car_cdr_seq, but each needed operation in represented as a node in the left child of the root", | |
| "features": count_class}, | |
| {"name": "car_cdr_seq_path_40k", | |
| "desc": "same task as car_cdr_seq_path, but train samples increased from 10K to 40K", | |
| "features": count_class}, | |
| {"name": "car_cdr_seq_path_40k_tuc", | |
| "desc": "same task as car_cdr_seq_path_40k, but requires mapping lowercase fillers to their uppercase tokens", | |
| "features": count_class}, | |
| {"name": "car_cdr_seq_path_tuc", | |
| "desc": "same task as car_cdr_seq_path, but requires mapping lowercase fillers to their uppercase tokens", | |
| "features": count_class}, | |
| ] | |
| core_configs = [ | |
| {"name": "active_active_stb", | |
| "desc": "active sentence translation, from sentence to parenthesized tree form, both directions", | |
| "features": dir_only}, | |
| {"name": "active_active_stb_40k", | |
| "desc": "same task as active_active_stb, but train samples increased from 10K to 40K", | |
| "features": dir_only}, | |
| {"name": "active_logical_ssb", | |
| "desc": "active to logical sentence translation, in both directions", | |
| "features": dir_only}, | |
| {"name": "active_logical_ssb_40k", | |
| "desc": "same task as active_logical_ssb, but train samples increased from 10K to 40K", | |
| "features": dir_only}, | |
| {"name": "active_logical_ttb", | |
| "desc": "active to logical tree translation, in both directions", | |
| "features": dir_only}, | |
| {"name": "active_logical_ttb_40k", | |
| "desc": "same task as active_logical_ttb, but train samples increased from 10K to 40K", | |
| "features": dir_only}, | |
| {"name": "active_passive_ssb", | |
| "desc": "active to passive sentence translation, in both directions", | |
| "features": dir_only}, | |
| {"name": "active_passive_ssb_40k", | |
| "desc": "same task as active_passive_ssb, but train samples increased from 10K to 40K", | |
| "features": dir_only}, | |
| {"name": "active_passive_ttb", | |
| "desc": "active to passive tree translation, in both directions", | |
| "features": dir_only}, | |
| {"name": "active_passive_ttb_40k", | |
| "desc": "same task as active_passive_ttb, but train samples increased from 10K to 40K", | |
| "features": dir_only}, | |
| {"name": "actpass_logical_ss", | |
| "desc": "mixture of active to logical and passive to logical sentence translations, single direction", | |
| "features": no_extra}, | |
| {"name": "actpass_logical_ss_40k", | |
| "desc": "same task as actpass_logical_ss, but train samples increased from 10K to 40K", | |
| "features": no_extra}, | |
| {"name": "actpass_logical_tt", | |
| "desc": "mixture of active to logical and passive to logical tree translations, single direction", | |
| "features": no_extra}, | |
| {"name": "actpass_logical_tt_40k", | |
| "desc": "same task as actpass_logical_tt, but train samples increased from 10K to 40K", | |
| "features": no_extra}, | |
| {"name": "logical_logical_stb", | |
| "desc": "logical form sentence translation, from sentence to parenthesized tree form, both directions", | |
| "features": dir_only}, | |
| {"name": "alogical_logical_stb_40k", | |
| "desc": "same task as logical_logical_stb, but train samples increased from 10K to 40K", | |
| "features": dir_only}, | |
| {"name": "passive_logical_ssb", | |
| "desc": "passive to logical sentence translation, in both directions", | |
| "features": dir_only}, | |
| {"name": "passive_logical_ssb_40k", | |
| "desc": "same task as passive_logical_ssb, but train samples increased from 10K to 40K", | |
| "features": dir_only}, | |
| {"name": "passive_logical_ttb", | |
| "desc": "passive to logical tree translation, in both directions", | |
| "features": dir_only}, | |
| {"name": "passive_logical_ttb_40k", | |
| "desc": "same task as passive_logical_ttb, but train samples increased from 10K to 40K", | |
| "features": dir_only}, | |
| {"name": "passive_passive_stb", | |
| "desc": "passive sentence translation, from sentence to parenthesized tree form, both directions", | |
| "features": dir_only}, | |
| {"name": "passive_passive_stb_40k", | |
| "desc": "same task as passive_passive_stb, but train samples increased from 10K to 40K", | |
| "features": dir_only}, | |
| ] | |
| configs = warmup_configs + core_configs | |
| class BasicSentenceTransformsConfig(datasets.BuilderConfig): | |
| """BuilderConfig for basic_sentence_transforms dataset.""" | |
| def __init__(self, features=None, **kwargs): | |
| # Version history: | |
| # 0.0.18: Initial version released to HF datasets | |
| # 0.0.21: release V21 of NC_PAT dataset | |
| super().__init__(version=datasets.Version("0.0.21"), **kwargs) | |
| self.features = features | |
| self.label_classes = None | |
| #self.data_url = "./{}.zip".format(kwargs["name"]) | |
| self.data_url ="{}/{}.zip".format(DATASET_URL, kwargs["name"]) | |
| self.citation = None | |
| self.homepage = None | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=self.description, | |
| features=self.features, | |
| # No default supervised_keys (as we have to pass both question | |
| # and context as input). | |
| supervised_keys=None, | |
| homepage=self.homepage, | |
| citation=self.citation, | |
| ) | |
| class BasicSentenceTransforms(datasets.GeneratorBasedBuilder): | |
| BUILDER_CONFIGS = [BasicSentenceTransformsConfig(name=c["name"], description=c["desc"], features=c["features"]) for c in configs] | |
| VERSION = datasets.Version("0.0.21") | |
| def _info(self): | |
| # features are now required here, so get them from the current CONFIG (following code example from super_glue.py) | |
| features = {feature: datasets.Value("string") for feature in self.config.features} | |
| return datasets.DatasetInfo( | |
| description="The dataset consists of diagnostic/warm-up tasks and core tasks within this dataset." + | |
| "The core tasks represent the translation of English sentences between the active, passive, and logical forms.", | |
| features=datasets.Features(features), | |
| supervised_keys=None, | |
| homepage=None, | |
| citation=None, | |
| ) | |
| def _split_generators(self, dl_manager: datasets.DownloadManager): | |
| url = self.config.data_url | |
| #print("_split_generator: url={}".format(url)) | |
| dl_dir = dl_manager.download_and_extract(url) | |
| task = self.config_id | |
| #print("task: {}, dl_dir: {}".format(task, dl_dir)) | |
| splits = [ | |
| SplitGenerator(name=Split.TRAIN, gen_kwargs={"data_file": os.path.join(dl_dir, "train.jsonl")}), | |
| SplitGenerator(name=Split.VALIDATION, gen_kwargs={"data_file": os.path.join(dl_dir, "dev.jsonl")}), | |
| SplitGenerator(name=Split.TEST, gen_kwargs={"data_file": os.path.join(dl_dir, "test.jsonl")}), | |
| ] | |
| if not task.startswith("car_cdr_cons") and not task.startswith("car_cdr_rcons"): | |
| splits += [ | |
| SplitGenerator(name="ood_new", gen_kwargs={"data_file": os.path.join(dl_dir, "ood_new.jsonl")}), | |
| SplitGenerator(name="ood_long", gen_kwargs={"data_file": os.path.join(dl_dir, "ood_long.jsonl")}), | |
| SplitGenerator(name="ood_all", gen_kwargs={"data_file": os.path.join(dl_dir, "ood_all.jsonl")}), | |
| ] | |
| return splits | |
| def _generate_examples(self, data_file): | |
| #print("_generate_examples: data_file: {}".format(data_file)) | |
| with open(data_file, encoding="utf-8") as f: | |
| for i, line in enumerate(f): | |
| key = str(i) | |
| row = json.loads(line) | |
| yield key, row | |
| if __name__ == "__main__": | |
| # short test | |
| builder = BasicSentenceTransforms.BUILDER_CONFIGS[0] | |
| print("name: {}, desc: {}".format(builder.name, builder.description)) | |