참고자료:
일반 텍스트
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:mutual_friends/plain_text')
- 설명 :
Our goal is to build systems that collaborate with people by exchanging
information through natural language and reasoning over structured knowledge
base. In the MutualFriend task, two agents, A and B, each have a private
knowledge base, which contains a list of friends with multiple attributes
(e.g., name, school, major, etc.). The agents must chat with each other
to find their unique mutual friend.
- 라이센스 : 알 수 없음
- 버전 : 1.1.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 1107 |
'train' | 8967 |
'validation' | 1083 |
- 특징 :
{
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"_type": "Value"
},
"scenario_uuid": {
"dtype": "string",
"id": null,
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"scenario_alphas": {
"feature": {
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"length": -1,
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"_type": "Sequence"
},
"scenario_attributes": {
"feature": {
"unique": {
"dtype": "bool_",
"id": null,
"_type": "Value"
},
"value_type": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"name": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
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},
"scenario_kbs": {
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"agents": {
"1": {
"dtype": "string",
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},
"0": {
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},
"outcome_reward": {
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},
"events": {
"actions": {
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"start_times": {
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"length": -1,
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"data_messages": {
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"data_selects": {
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"values": {
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"agents": {
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"times": {
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},
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}
}
}