Commit
•
a9299b3
1
Parent(s):
67cb29d
all data
Browse files- MRC/ArabicaQA.py +30 -10
- arabicaqa.py +30 -11
MRC/ArabicaQA.py
CHANGED
@@ -1,3 +1,5 @@
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from datasets import load_dataset_builder, DatasetInfo, DownloadConfig, GeneratorBasedBuilder, datasets
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class CustomSQuADFormatDataset(GeneratorBasedBuilder):
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@@ -5,7 +7,11 @@ class CustomSQuADFormatDataset(GeneratorBasedBuilder):
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VERSION = datasets.Version("1.0.0")
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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]
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def _info(self):
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@@ -23,6 +29,7 @@ class CustomSQuADFormatDataset(GeneratorBasedBuilder):
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"answer_start": datasets.Value("int32"),
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}
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),
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}
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),
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supervised_keys=None,
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@@ -34,19 +41,27 @@ class CustomSQuADFormatDataset(GeneratorBasedBuilder):
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urls_to_download = {
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"train": "https://huggingface.co/datasets/abdoelsayed/ArabicaQA/raw/main/MRC/train.json",
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"dev": "https://huggingface.co/datasets/abdoelsayed/ArabicaQA/raw/main/MRC/val.json",
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"test": "https://huggingface.co/datasets/abdoelsayed/ArabicaQA/raw/main/MRC/test.json"
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}
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downloaded_files = dl_manager.download(urls_to_download)
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"
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datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"
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datasets.SplitGenerator(name=datasets.Split.
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]
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def _generate_examples(self,
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-
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squad_data = json.load(f)["data"]
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for article in squad_data:
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title = article.get("title", "")
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@@ -56,10 +71,15 @@ class CustomSQuADFormatDataset(GeneratorBasedBuilder):
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id_ = qa["id"]
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question = qa["question"]
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answers = [{"text": answer["text"], "answer_start": answer["answer_start"]} for answer in qa.get("answers", [])]
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-
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"title": title,
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"context": context,
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"question": question,
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"answers": answers,
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}
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import csv
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import json
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from datasets import load_dataset_builder, DatasetInfo, DownloadConfig, GeneratorBasedBuilder, datasets
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class CustomSQuADFormatDataset(GeneratorBasedBuilder):
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VERSION = datasets.Version("1.0.0")
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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name="ArabicaQA",
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version=VERSION,
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description="Custom dataset similar to SQuAD format, including CSV data."
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)
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]
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def _info(self):
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"answer_start": datasets.Value("int32"),
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}
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),
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# Additional fields from the CSV can be added here if needed
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}
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),
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supervised_keys=None,
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urls_to_download = {
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"train": "https://huggingface.co/datasets/abdoelsayed/ArabicaQA/raw/main/MRC/train.json",
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"dev": "https://huggingface.co/datasets/abdoelsayed/ArabicaQA/raw/main/MRC/val.json",
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"test": "https://huggingface.co/datasets/abdoelsayed/ArabicaQA/raw/main/MRC/test.json",
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"csv": "https://huggingface.co/datasets/abdoelsayed/ArabicaQA/raw/main/MRC/all_data_meta.csv"
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}
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downloaded_files = dl_manager.download(urls_to_download)
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"json_filepath": downloaded_files["train"], "csv_filepath": downloaded_files["csv"]}),
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datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"json_filepath": downloaded_files["dev"], "csv_filepath": downloaded_files["csv"]}),
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datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"json_filepath": downloaded_files["test"], "csv_filepath": downloaded_files["csv"]}),
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]
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def _generate_examples(self, json_filepath, csv_filepath):
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# Read the CSV file and store it in memory
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csv_data = {}
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with open(csv_filepath, encoding="utf-8") as csv_file:
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csv_reader = csv.DictReader(csv_file)
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for row in csv_reader:
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csv_data[row['question_id']] = row
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# Read the JSON file and yield examples
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with open(json_filepath, encoding="utf-8") as f:
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squad_data = json.load(f)["data"]
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for article in squad_data:
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title = article.get("title", "")
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id_ = qa["id"]
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question = qa["question"]
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answers = [{"text": answer["text"], "answer_start": answer["answer_start"]} for answer in qa.get("answers", [])]
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# Combine data from the CSV if present
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additional_csv_data = csv_data.get(id_, {})
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# Include additional fields from the CSV in the example if necessary
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example = {
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"title": title,
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"context": context,
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"question": question,
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"answers": answers,
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# Add additional fields from the CSV here
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}
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yield id_, example
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arabicaqa.py
CHANGED
@@ -1,3 +1,5 @@
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from datasets import load_dataset_builder, DatasetInfo, DownloadConfig, GeneratorBasedBuilder, datasets
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class CustomSQuADFormatDataset(GeneratorBasedBuilder):
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@@ -5,9 +7,12 @@ class CustomSQuADFormatDataset(GeneratorBasedBuilder):
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VERSION = datasets.Version("1.0.0")
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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]
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-
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def _info(self):
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return DatasetInfo(
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@@ -24,6 +29,7 @@ class CustomSQuADFormatDataset(GeneratorBasedBuilder):
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"answer_start": datasets.Value("int32"),
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}
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),
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}
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),
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supervised_keys=None,
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@@ -35,19 +41,27 @@ class CustomSQuADFormatDataset(GeneratorBasedBuilder):
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urls_to_download = {
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"train": "https://huggingface.co/datasets/abdoelsayed/ArabicaQA/raw/main/MRC/train.json",
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"dev": "https://huggingface.co/datasets/abdoelsayed/ArabicaQA/raw/main/MRC/val.json",
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"test": "https://huggingface.co/datasets/abdoelsayed/ArabicaQA/raw/main/MRC/test.json"
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}
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downloaded_files = dl_manager.download(urls_to_download)
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"
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-
datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"
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datasets.SplitGenerator(name=datasets.Split.
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-
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]
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-
def _generate_examples(self,
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-
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squad_data = json.load(f)["data"]
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for article in squad_data:
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title = article.get("title", "")
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@@ -57,10 +71,15 @@ class CustomSQuADFormatDataset(GeneratorBasedBuilder):
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id_ = qa["id"]
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question = qa["question"]
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answers = [{"text": answer["text"], "answer_start": answer["answer_start"]} for answer in qa.get("answers", [])]
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-
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-
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"title": title,
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"context": context,
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"question": question,
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"answers": answers,
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}
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+
import csv
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import json
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from datasets import load_dataset_builder, DatasetInfo, DownloadConfig, GeneratorBasedBuilder, datasets
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4 |
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class CustomSQuADFormatDataset(GeneratorBasedBuilder):
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VERSION = datasets.Version("1.0.0")
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BUILDER_CONFIGS = [
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+
datasets.BuilderConfig(
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name="ArabicaQA",
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version=VERSION,
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description="Custom dataset similar to SQuAD format, including CSV data."
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)
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]
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def _info(self):
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return DatasetInfo(
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"answer_start": datasets.Value("int32"),
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}
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),
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+
# Additional fields from the CSV can be added here if needed
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}
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),
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supervised_keys=None,
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urls_to_download = {
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"train": "https://huggingface.co/datasets/abdoelsayed/ArabicaQA/raw/main/MRC/train.json",
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"dev": "https://huggingface.co/datasets/abdoelsayed/ArabicaQA/raw/main/MRC/val.json",
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"test": "https://huggingface.co/datasets/abdoelsayed/ArabicaQA/raw/main/MRC/test.json",
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"csv": "https://huggingface.co/datasets/abdoelsayed/ArabicaQA/raw/main/MRC/all_data_meta.csv"
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}
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downloaded_files = dl_manager.download(urls_to_download)
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"json_filepath": downloaded_files["train"], "csv_filepath": downloaded_files["csv"]}),
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datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"json_filepath": downloaded_files["dev"], "csv_filepath": downloaded_files["csv"]}),
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datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"json_filepath": downloaded_files["test"], "csv_filepath": downloaded_files["csv"]}),
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]
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def _generate_examples(self, json_filepath, csv_filepath):
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# Read the CSV file and store it in memory
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csv_data = {}
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with open(csv_filepath, encoding="utf-8") as csv_file:
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csv_reader = csv.DictReader(csv_file)
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for row in csv_reader:
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csv_data[row['question_id']] = row
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+
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# Read the JSON file and yield examples
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with open(json_filepath, encoding="utf-8") as f:
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squad_data = json.load(f)["data"]
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for article in squad_data:
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title = article.get("title", "")
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id_ = qa["id"]
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question = qa["question"]
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answers = [{"text": answer["text"], "answer_start": answer["answer_start"]} for answer in qa.get("answers", [])]
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+
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# Combine data from the CSV if present
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additional_csv_data = csv_data.get(id_, {})
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# Include additional fields from the CSV in the example if necessary
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example = {
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"title": title,
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"context": context,
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"question": question,
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"answers": answers,
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+
# Add additional fields from the CSV here
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}
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yield id_, example
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