อ้างอิง:
ม็อด
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:sharc_modified/mod')
- คำอธิบาย :
ShARC, a conversational QA task, requires a system to answer user questions based on rules expressed in natural language text. However, it is found that in the ShARC dataset there are multiple spurious patterns that could be exploited by neural models. SharcModified is a new dataset which reduces the patterns identified in the original dataset. To reduce the sensitivity of neural models, for each occurence of an instance conforming to any of the patterns, we automatically construct alternatives where we choose to either replace the current instance with an alternative instance which does not exhibit the pattern; or retain the original instance. The modified ShARC has two versions sharc-mod and history-shuffled. For morre details refer to Appendix A.3 .
- ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
- เวอร์ชัน : 1.0.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'train' | 21890 |
'validation' | 2270 |
- คุณสมบัติ :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"utterance_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source_url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"snippet": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"scenario": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"history": [
{
"follow_up_question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"follow_up_answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
],
"evidence": [
{
"follow_up_question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"follow_up_answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
],
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
mod_dev_multi
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:sharc_modified/mod_dev_multi')
- คำอธิบาย :
ShARC, a conversational QA task, requires a system to answer user questions based on rules expressed in natural language text. However, it is found that in the ShARC dataset there are multiple spurious patterns that could be exploited by neural models. SharcModified is a new dataset which reduces the patterns identified in the original dataset. To reduce the sensitivity of neural models, for each occurence of an instance conforming to any of the patterns, we automatically construct alternatives where we choose to either replace the current instance with an alternative instance which does not exhibit the pattern; or retain the original instance. The modified ShARC has two versions sharc-mod and history-shuffled. For morre details refer to Appendix A.3 .
- ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
- เวอร์ชัน : 1.0.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'validation' | 2270 |
- คุณสมบัติ :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"utterance_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source_url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"snippet": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"scenario": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"history": [
{
"follow_up_question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"follow_up_answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
],
"evidence": [
{
"follow_up_question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"follow_up_answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
],
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"all_answers": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
ประวัติศาสตร์
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:sharc_modified/history')
- คำอธิบาย :
ShARC, a conversational QA task, requires a system to answer user questions based on rules expressed in natural language text. However, it is found that in the ShARC dataset there are multiple spurious patterns that could be exploited by neural models. SharcModified is a new dataset which reduces the patterns identified in the original dataset. To reduce the sensitivity of neural models, for each occurence of an instance conforming to any of the patterns, we automatically construct alternatives where we choose to either replace the current instance with an alternative instance which does not exhibit the pattern; or retain the original instance. The modified ShARC has two versions sharc-mod and history-shuffled. For morre details refer to Appendix A.3 .
- ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
- เวอร์ชัน : 1.0.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'train' | 21890 |
'validation' | 2270 |
- คุณสมบัติ :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"utterance_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source_url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"snippet": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"scenario": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"history": [
{
"follow_up_question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"follow_up_answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
],
"evidence": [
{
"follow_up_question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"follow_up_answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
],
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
history_dev_multi
ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:
ds = tfds.load('huggingface:sharc_modified/history_dev_multi')
- คำอธิบาย :
ShARC, a conversational QA task, requires a system to answer user questions based on rules expressed in natural language text. However, it is found that in the ShARC dataset there are multiple spurious patterns that could be exploited by neural models. SharcModified is a new dataset which reduces the patterns identified in the original dataset. To reduce the sensitivity of neural models, for each occurence of an instance conforming to any of the patterns, we automatically construct alternatives where we choose to either replace the current instance with an alternative instance which does not exhibit the pattern; or retain the original instance. The modified ShARC has two versions sharc-mod and history-shuffled. For morre details refer to Appendix A.3 .
- ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
- เวอร์ชัน : 1.0.0
- แยก :
| แยก | ตัวอย่าง |
|---|---|
'validation' | 2270 |
- คุณสมบัติ :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"utterance_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source_url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"snippet": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"scenario": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"history": [
{
"follow_up_question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"follow_up_answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
],
"evidence": [
{
"follow_up_question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"follow_up_answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
],
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"all_answers": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}