Update parquet files

README.md

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-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: post_text
-    sequence: string
-  - name: pre_text
-    sequence: string
-  - name: question
-    dtype: string
-  - name: answers
-    dtype: string
-  - name: table
-    sequence:
-      sequence: string
-  splits:
-  - name: train
-    num_bytes: 26984130
-    num_examples: 6251
-  - name: validation
-    num_bytes: 3757103
-    num_examples: 883
-  - name: test
-    num_bytes: 4838430
-    num_examples: 1147
-  download_size: 21240722
-  dataset_size: 35579663

default/finqa-test.parquet

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+oid sha256:9dfaa2a0fc5f17c06558a59abcd37654ab5de4cbbe6d1fdc89ba563ded534908
+size 1144390

default/finqa-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5252c3df1a17b8959c0040171932fffd8e1b59e01b509389ea559599f3a62156
+size 12187769

default/finqa-validation.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:320a13453c36b0b8f5734dd27d191e4884376c538947c0ebc2ac7737863f7b5d
+size 764909

finqa.py

@@ -1,87 +0,0 @@
-# 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.
-"""The WikiTableQuestions dataset is a large-scale dataset for the task of question answering on semi-structured tables."""
-
-import os
-
-import datasets
-
-import json
-
-_HOMEPAGE = "https://finqasite.github.io/index.html"
-
-_GIT_ARCHIVE_URL = (
-    "https://github.com/czyssrs/FinQA/archive/refs/heads/main.zip"
-)
-
-class FinQA(datasets.GeneratorBasedBuilder):
-
-    VERSION = datasets.Version("1.0.0")
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                # "filename": datasets.Value("string"),
-                "id": datasets.Value("string"),
-                "post_text": datasets.features.Sequence(datasets.Value("string")),
-                "pre_text": datasets.features.Sequence(datasets.Value("string")),
-                "question": datasets.Value("string"),
-                "answer": datasets.Value("string"),
-                "gold_evidence": datasets.features.Sequence(datasets.Value("string")),
-                "table": datasets.features.Sequence(datasets.features.Sequence(datasets.Value("string"))),
-            }
-        )
-        return datasets.DatasetInfo(
-            features=features,
-        )
-
-    def _split_generators(self, dl_manager):
-        extracted_path = dl_manager.download_and_extract(_GIT_ARCHIVE_URL)
-        print(extracted_path)
-        train_file = os.path.join(extracted_path, "FinQA-main", "dataset", "train.json")
-        dev_file = os.path.join(extracted_path, "FinQA-main", "dataset", "dev.json")
-        test_file = os.path.join(extracted_path, "FinQA-main", "dataset", "test.json")
-        
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"main_filepath": train_file},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={"main_filepath": dev_file},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"main_filepath": test_file},
-            ),
-        ]
-
-
-    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
-    def _generate_examples(self, main_filepath):
-        # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
-        with open(main_filepath, encoding="utf-8") as f:
-            # skip the first line since it is the tsv header
-            lines = json.load(f)
-            for idx, example in enumerate(lines):
-                yield idx, { 
-                "id": example['id'], 
-                "post_text": example['post_text'], 
-                "pre_text": example['pre_text'], 
-                "question": example['qa']['question'], 
-                "answer": example['qa']['answer'], 
-                "table": example['table'], 
-                "gold_evidence": list(example['qa']['gold_inds'].values())
-            }