| |
| import json, datasets |
| from datasets import Features, Value, Sequence, Split, SplitGenerator |
|
|
| _CITATION = "" |
| _DESCRIPTION = "BlueMO dataset." |
|
|
| class BlueMO(datasets.GeneratorBasedBuilder): |
| BUILDER_CONFIGS = [ |
| datasets.BuilderConfig(name="default"), |
| datasets.BuilderConfig(name="proof"), |
| datasets.BuilderConfig(name="calculation"), |
| datasets.BuilderConfig(name="mathtext"), |
| ] |
|
|
| def _info(self): |
| if self.config.name in ("proof", "calculation", "default"): |
| feats = Features({ |
| "source_file": Value("string"), |
| "problem_type": Value("string"), |
| "problem": Value("string"), |
| "solution": Value("string"), |
| "remark": Value("string"), |
| "figures": Sequence(Value("string")), |
| }) |
| else: |
| feats = Features({ |
| "source_file": Value("string"), |
| "text": Value("string"), |
| "figures": Sequence(Value("string")), |
| }) |
| return datasets.DatasetInfo(description=_DESCRIPTION, citation=_CITATION, features=feats) |
|
|
| def _split_generators(self, dl_manager): |
| |
| if self.config.name == "proof": |
| paths = dl_manager.iter_files(["processed_dataset/proof"]) |
| elif self.config.name == "calculation": |
| paths = dl_manager.iter_files(["processed_dataset/calculation"]) |
| elif self.config.name == "mathtext": |
| paths = dl_manager.iter_files(["processed_dataset/text"]) |
| else: |
| paths = dl_manager.iter_files(["processed_dataset/proof", "processed_dataset/calculation"]) |
| return [SplitGenerator(name=Split.TRAIN, gen_kwargs={"paths": list(paths)})] |
|
|
| def _generate_examples(self, paths): |
| for i, p in enumerate(sorted(paths)): |
| with open(p, "r", encoding="utf-8") as f: |
| obj = json.load(f) |
| |
| if "figures" in obj and obj["figures"] is None: |
| obj["figures"] = [] |
| if "figures" in obj: |
| obj["figures"] = [str(x) for x in (obj["figures"] or [])] |
| yield str(i), obj |
|
|
