Datasets:
ArXiv:
License:
| # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor. | |
| # | |
| # 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. | |
| import os | |
| import json | |
| import datasets | |
| _LICENSE = "MIT License" | |
| # The HuggingFace Datasets library doesn't host the datasets but only points to the original files. | |
| # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method) | |
| _DATA_URL = ( | |
| "https://raw.githubusercontent.com/yilunzhao/RobuT/main/robut_data.zip" | |
| ) | |
| class KnowledgeMath(datasets.GeneratorBasedBuilder): | |
| BUILDER_CONFIGS = [ | |
| datasets.BuilderConfig( | |
| name="main", | |
| ) | |
| ] | |
| DEFAULT_CONFIG_NAME = ( | |
| "main" # It's not mandatory to have a default configuration. Just use one if it make sense. | |
| ) | |
| def _info(self): | |
| features = datasets.Features( | |
| { | |
| "question_id": datasets.Value("string"), | |
| "question": datasets.Value("string"), | |
| "tables": datasets.features.Sequence(datasets.Value("string")), | |
| "topic": datasets.Value("string"), | |
| "ground_truth": datasets.Value("float64"), | |
| "python_solution": datasets.Value("string"), | |
| } | |
| ) | |
| return datasets.DatasetInfo( | |
| features=features, | |
| homepage=_HOMEPAGE, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| validation_path = datasets.DownloadManager.download("https://huggingface.co/datasets/yale-nlp/KnowledgeMath/raw/main/validation.json") | |
| test_path = datasets.DownloadManager.download("https://huggingface.co/datasets/yale-nlp/KnowledgeMath/raw/main/test.json") | |
| return [ | |
| datasets.SplitGenerator( | |
| name="validation", | |
| # These kwargs will be passed to _generate_examples | |
| gen_kwargs={ | |
| "filepath": validation_path | |
| }, | |
| ), | |
| datasets.SplitGenerator( | |
| name="test", | |
| # These kwargs will be passed to _generate_examples | |
| gen_kwargs={ | |
| "filepath": test_path | |
| }, | |
| ) | |
| ] | |
| # method parameters are unpacked from `gen_kwargs` as given in `_split_generators` | |
| def _generate_examples(self, filepath): | |
| # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example. | |
| qa_data = json.load(open(filepath)) | |
| for idx, example in enumerate(qa_data): | |
| yield idx, { | |
| "question_id": example["question_id"], | |
| "question": example["question"], | |
| "tables": example["tables"], | |
| "topic": example["topic"], | |
| "ground_truth": example["ground_truth"], | |
| "python_solution": example["python_solution"], | |
| } |