Datasets:
batterydata
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Update README.md
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README.md
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@@ -28,6 +28,28 @@ from datasets import load_dataset
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dataset = load_dataset("batterydata/battery-device-data-qa")
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```
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# Citation
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```
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@article{huang2022batterybert,
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dataset = load_dataset("batterydata/battery-device-data-qa")
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```
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Note: in the original BatteryBERT paper, 272 data records were used for evaluation after removing redundant records as well as paragraphs with character length >= 1500. Code is shown below:
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```
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import json
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with open("answers.json", "r", encoding='utf-8') as f:
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data = json.load(f)
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evaluation = []
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for point in data['data']:
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paragraphs = point['paragraphs'][0]['context']
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if len(paragraphs)<1500:
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qas = point['paragraphs'][0]['qas']
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for indiv in qas:
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try:
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question = indiv['question']
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answer = indiv['answers'][0]['text']
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pairs = (paragraphs, question, answer)
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evaluation.append(pairs)
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except:
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continue
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```
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# Citation
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```
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@article{huang2022batterybert,
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