openbookqa

তথ্যসূত্র:

প্রধান

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:openbookqa/main')
  • বর্ণনা :
OpenBookQA aims to promote research in advanced question-answering, probing a deeper understanding of both the topic
(with salient facts summarized as an open book, also provided with the dataset) and the language it is expressed in. In
particular, it contains questions that require multi-step reasoning, use of additional common and commonsense knowledge,
and rich text comprehension.
OpenBookQA is a new kind of question-answering dataset modeled after open book exams for assessing human understanding
of a subject.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 1.0.1
  • বিভাজন :
বিভক্ত উদাহরণ
'test' 500
'train' 4957
'validation' 500
  • বৈশিষ্ট্য :
{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_stem": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "label": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answerKey": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

অতিরিক্ত

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:openbookqa/additional')
  • বর্ণনা :
OpenBookQA aims to promote research in advanced question-answering, probing a deeper understanding of both the topic
(with salient facts summarized as an open book, also provided with the dataset) and the language it is expressed in. In
particular, it contains questions that require multi-step reasoning, use of additional common and commonsense knowledge,
and rich text comprehension.
OpenBookQA is a new kind of question-answering dataset modeled after open book exams for assessing human understanding
of a subject.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 1.0.1
  • বিভাজন :
বিভক্ত উদাহরণ
'test' 500
'train' 4957
'validation' 500
  • বৈশিষ্ট্য :
{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_stem": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "label": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answerKey": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "fact1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "humanScore": {
        "dtype": "float32",
        "id": null,
        "_type": "Value"
    },
    "clarity": {
        "dtype": "float32",
        "id": null,
        "_type": "Value"
    },
    "turkIdAnonymized": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}