सन्दर्भ:
xsum_तथ्यात्मकता
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:xsum_factuality/xsum_factuality')
- विवरण :
Neural abstractive summarization models are highly prone to hallucinate content that is unfaithful to the input
document. The popular metric such as ROUGE fails to show the severity of the problem. The dataset consists of
faithfulness and factuality annotations of abstractive summaries for the XSum dataset. We have crowdsourced 3 judgements
for each of 500 x 5 document-system pairs. This will be a valuable resource to the abstractive summarization community.
- लाइसेंस : https://creativecommons.org/licenses/by/4.0/
- संस्करण : 1.1.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'train' | 5597 |
- विशेषताएँ :
{
"bbcid": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"system": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"summary": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"is_factual": {
"num_classes": 2,
"names": [
"no",
"yes"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"worker_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
xsum_वफ़ादारी
इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:
ds = tfds.load('huggingface:xsum_factuality/xsum_faithfulness')
- विवरण :
Neural abstractive summarization models are highly prone to hallucinate content that is unfaithful to the input
document. The popular metric such as ROUGE fails to show the severity of the problem. The dataset consists of
faithfulness and factuality annotations of abstractive summaries for the XSum dataset. We have crowdsourced 3 judgements
for each of 500 x 5 document-system pairs. This will be a valuable resource to the abstractive summarization community.
- लाइसेंस : https://creativecommons.org/licenses/by/4.0/
- संस्करण : 1.1.0
- विभाजन :
विभाजित करना | उदाहरण |
---|---|
'train' | 11185 |
- विशेषताएँ :
{
"bbcid": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"system": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"summary": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"hallucination_type": {
"num_classes": 2,
"names": [
"intrinsic",
"extrinsic"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"hallucinated_span_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"hallucinated_span_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"worker_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}