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import json
import datasets
class MNLP_M2_rag_documents(datasets.GeneratorBasedBuilder):
def _info(self):
return datasets.DatasetInfo(
features=datasets.Features({
"title": datasets.Value("string"),
"text": datasets.Value("string"),
"source": datasets.Value("string"),
}),
description="RAG documents for MNLP",
)
def _split_generators(self, dl_manager):
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={"filepath": "wiki_rag.jsonl"},
)
]
def _generate_examples(self, filepath):
with open(filepath, encoding="utf-8") as f:
for i, line in enumerate(f):
data = json.loads(line)
yield i, {
"title": data.get("title", ""),
"text": data.get("text", ""),
"source": data.get("source", "wikipedia"),
}
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