Delete basic-sentence-transforms.py

basic-sentence-transforms.py

@@ -1,205 +0,0 @@
-# basic-sentence-transforms.py: the HF datasets "loading script" for the NC_PAT dataset (defines configurations/tasks, columns, etc.)
-import os
-import json
-import datasets
-from datasets import Split, SplitGenerator
-
-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"),
-}
-
-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},
-
-    {"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_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_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": "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},
-]
-
-class NcPatConfig(datasets.BuilderConfig):
-    """BuilderConfig for NC_PAT dataset."""
-
-    def __init__(self, features=None, **kwargs):
-        # Version history:
-        # 0.0.17: Initial version released to HF datasets
-        super().__init__(version=datasets.Version("0.0.17"), **kwargs)
-
-        self.features = features
-        self.label_classes = None
-        self.data_url = "./{}.zip".format(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 NcPat(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [NcPatConfig(name=c["name"], description=c["desc"], features=c["features"]) for c in configs]
-    VERSION = datasets.Version("0.0.17")
-
-    def _info(self):
-        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.",
-            supervised_keys=None,
-            homepage=None,
-            citation=None,
-        )
-
-    def _split_generators(self, dl_manager: datasets.DownloadManager):
-        url = self.config.data_url
-        dl_dir = dl_manager.download_and_extract(url)
-        task = self.config_id
-
-        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_adj.jsonl")}),
-                SplitGenerator(name="ood_long", gen_kwargs={"data_file": os.path.join(dl_dir, "ood_long_adj.jsonl")}),
-            ]
-
-        return splits
-
-    def _generate_examples(self, 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 = NcPat.BUILDER_CONFIGS[0]
-    print("name: {}, desc: {}".format(builder.name, builder.description))
-