SoAyBench

by WangYC

We've based SoAyBench creation on AMiner. To really understand how well LLMs can use SoAPI, we need to make AMiner's basic SoAPIs available for LLMs to use. We also need a test set made up of academic (question, solution, answer) triplets for checking how they're doing. The tricky part is, academic data keeps changing fast – stuff like info on scholars and their publications. So, keeping a test set with fixed answers is tough.

To tackle this, what we've done is clone AMiner's SoAPIs as they were at a certain moment (Sep 15th 2023). This way, we've got a static version of the service. From there, we create a matching test set that doesn't change.

[toc]

Dataset Overview

You can find 44 jsonl files in SoAyBench.

Each of the jsonl file contains 18 lines.

Each line is a query-answer data like :

{
   "Query": "Query in Chinese", 
   "Query_en": "Query in English", 
   "Answer": "Answer to the Query", 
   "Base_Question_zh": "Template query in Chinese", 
   "Base_Question_en": "Template query in English", 
   "Inputs": "Information which serves as the inputs of the APIs", 
   "Outputs": "The key of the answer at the API's response", 
   "Entity_Information": "Information that is filled into the template query"
}

For example:

{
    "Query": "Mutual Information领域的Jean Barbier的代表作的pdf链接是？", 
    "Query_en": "What is the PDF link of the representative work of Jean Barbier in Mutual Information field?", 
    "Answer": "//static.aminer.cn/misc/pdf/NIPS/2018/5b3d98cc17c44a510f801b5c.pdf", "Base_Question_zh": "XX领域的XXX的代表作的pdf链接是？", 
    "Base_Question_en": "What is the PDF link of the representative work of XXX in XX field?", 
    "Inputs": "name, interest", 
    "Outputs": "pdf_link", 
    "Entity_Information": 
      {
         "name": "Jean Barbier", 
         "organization": "International Centre for Theoretical Physics", 
         "interest": "Mutual Information"
      }
}

How to use AMiner APIs that is included in SoAyBench?

In addition to providing a substantial amount of QA data, SoAyBench also includes a set of SoAPI services, encompassing a total of 7 APIs from AMiner. SoAy has filtered and wrapped the input and output of the original APIs into 7 functions.

You can find this details in https://github.com/RUCKBReasoning/SoAy/model.py

You can try all these APIs with SoAy/api_test.py

class aminer_soay:
    def __init__(self):
        self.addr = 'https://soay.aminer.cn/'
    
    def searchPersonComp(self, **kwargs):
        personList = []
        addr = self.addr + 'searchPerson'
        headers = {
            'Content-Type' : 'application/json'
        }
        searchKeyWordList = []
        if 'name' in kwargs:
            searchKeyWordList.append({
                        "operate": "0",
                        "wordType": 4,
                        "keyword": kwargs['name'],
                        "advanced": True,
                        "needTranslate": True
                    })
        if 'interest' in kwargs:
            searchKeyWordList.append({
                        "operate": "0",
                        "wordType": 2,
                        "keyword": kwargs['interest'],
                        "advanced": True,
                        "needTranslate": True
                    })
        if 'organization' in kwargs:
            searchKeyWordList.append({
                        "operate": "0",
                        "wordType": 5,
                        "keyword": kwargs['organization'],
                        "advanced": True,
                        "needTranslate": True
                    })
        json_content = json.dumps({
            "sort": [{'asc': False, 'field' : 'n_citation'}],
            "searchKeyWordList": searchKeyWordList,
            "needDetails" : True
        })
        response = requests.post(
            url=addr,
            headers = headers,
            data = json_content
        )
        result = response.json()
        for each in result['data']['hitList']:
            # print(each)
            try:
                personList.append(
                    {
                        'person_id' : each['id'],
                        'name' : each['name'],
                        'interests' : [each['interests'][i]['t'] for i in range(min(len(each['interests']), 10))],
                        # 'nation': each['nation'], 
                        'num_citation' : each['ncitation'],
                        'num_pubs': each['npubs'],
                        'organization' : each['contact']['affiliation']
                    }
                )
            except:
                continue
        return personList
    
    def searchPublication(self, publication_info):
        addr = self.addr + 'searchPublication'
        pubList = []
        headers = {
            'Content-Type' : 'application/json'
        }
        json_content = json.dumps({
            "query" : publication_info,
            'needDetails' : True,
            'page' : 0,
            'size' : 10,
            "sort": [{'asc': False, 'field' : 'n_citation'}],
        })
        response = requests.post(
            url=addr,
            headers = headers,
            data = json_content
        )
        result = response.json()
        for each in result['data']['hitList']:
            try:
                pubList.append({
                    'pub_id' : each['id'],
                    'title' : each['title'],
                    'year' : each['year']
                })
            except:
                continue

        return pubList

    def getPublication(self, pub_id):
        addr = self.addr + 'getPublication'
        addr = wrapUrlParameter(addr, id = pub_id)
        # addr = addr + '?AppCode=' + self.appcode + '&id=' + id
        response = requests.get(url = addr)
        result = response.json()['data'][0]['pub']
        info_dict = {}
        try:
            info_dict['abstract'] = result['abstract']
        except:
            info_dict['abstract'] = 'paper abstract'
        author_list = []
        for each in result['authors']:
            try:
                author_list.append({'person_id' : each['id'], 'name' : each['name']})
            except:
                continue
        if author_list != []:
            info_dict['author_list'] = author_list
        try:
            info_dict['num_citation'] = result['num_citation']
        except:
            pass
        try:
            info_dict['year'] = result['year']
        except:
            pass
        try:
            info_dict['pdf_link'] = result['pdf']
        except:
            pass
        try:
            info_dict['venue'] = result['venue']
        except:
            pass
        return info_dict
    
    def getPersonInterest(self, person_id):
        addr = self.addr + 'getPersonInterest'
        addr = wrapUrlParameter(addr, id = person_id)
        # addr = addr + '?AppCode=' + self.appcode + '&id=' + id
        response = requests.get(url = addr)
        try:
            result = response.json()['data'][0]['data']['data']['data']
        except:
            return []
        interest_list = [result[i]['t'] for i in range(len(result))]
        return interest_list

    def getCoauthors(self, person_id):
        addr = self.addr + 'getCoauthors'
        addr = wrapUrlParameter(addr, id = person_id)
        response = requests.get(url=addr)
        result = response.json()['data'][0]['data']['crs']
        coauthorsList = []
        for each in result:
            try:
                coauthorsList.append({
                    'person_id' : each['id'],
                    'name' : each['name'],
                    'relation' : each['relation']
                })
            except:
                continue
        # coauthorsList = [{'person_id' : result[i]['id'], 'relation' : result[i]['relation']} for i in range(min(len(result), 10))]
        return coauthorsList
    
    def getPersonPubs(self, person_id):
        addr = self.addr + 'getPersonPubs'
        addr = wrapUrlParameter(addr, id = person_id, offset = 0, size = 10, order = 'citation')
        response = requests.get(url=addr)
        result = response.json()['data'][0]['data']['pubs']
        pub_list = []
        for each in result:
            try:
                pub_list.append({
                    # 'abstract' : result[i]['abstract'],
                    'pub_id' : each['id'],
                    'title' : each['title'],
                    'num_citation' : each['ncitation'],
                    'year' : each['year'],
                    'authors_name_list' : [each['authors'][j]['name']for j in range(len(each['authors']))]
                })
            except:
                continue
        return pub_list
    
    def getPersonBasicInfo(self, person_id):
        addr = self.addr + 'getPersonBasicInfo'
        addr = wrapUrlParameter(addr, id = person_id)

        response = requests.get(url=addr)
        result = response.json()['data'][0]['data']
        # print(response)
        info_dic = {
                    'person_id' : person_id,
                    'name' : result['name'],
                    'gender' : result['gender'],
                    'organization' : result['aff'],
                    'position' : result['position'],
                    'bio' : result['bio'],
                    'education_experience' : result['edu'],
                    'email' : result['email']
                    # 'ncitation' : result['num_citation']
                }
        return info_dic

Original Service

We list all the original AMiner APIs below, which you can use to create new applications.

searchPerson

Information

Path： /soay.aminer.cn/searchPerson

Method： POST

Description：

Examples： 1.Basic Searching

{
    "query": "jiawei han",
    "needDetails": true,
    "page": 0,
    "size": 10
}

2.Complecated Searching

{
    "searchKeyWordList": [
        {
            "operate": "0",
            "wordType": 5,
            "keyword": "University of Illinois at Urbanan",
            "advanced": true
        },
        {
            "operate": "0",
            "wordType": 4,
            "keyword": "jiawei han",
            "advanced": true
        }
    ],
    "filters": [
        {
            "boolOperator": "3",
            "type": "term",
            "field": "gender",
            "value": "male"
        }
    ],
    "page": 0,
    "size": 10,
    "needDetails": true,
    "aggregations": [
        {
            "field": "gender",
            "type": "terms",
            "size": 2
        },
        {
            "field": "nation",
            "type": "terms",
            "size": 10
        },
        {
            "field": "lang",
            "type": "terms",
            "size": 10
        },
        {
            "field": "h_index",
            "type": "range",
            "rangeList": [
                {
                    "from": 0,
                    "to": 10
                },
                {
                    "from": 11,
                    "to": 20
                },
                {
                    "from": 21,
                    "to": 30
                },
                {
                    "from": 31,
                    "to": 40
                },
                {
                    "from": 41,
                    "to": 50
                },
                {
                    "from": 51,
                    "to": 60
                },
                {
                    "from": 61,
                    "to": 99999
                }
            ],
            "size": 1
        }
    ]
}

Parameters

Headers

Name	Value	Necessary	Example	Note
Content-Type	application/json	Y

Body

Name	Type	Necessary	Default	Note	Others
aggregations	object []	N		聚合配置	item type: object
├─ field	string	N		属性: h_index-h指数; lang-语言; nation-国家和地区; gender-性别;
├─ order	object	N		聚合排序参数(termstype,filed不为_key及_count时为要排序的子聚合的路径)
├─ asc	boolean	Y		升序排序
├─ field	string	Y		字段
├─ rangeList	object []	N		分段列表（rangtype）	item type: object
├─ from	number	N		起始,gte
├─ to	number	N		截止,lte
├─ size	number	N		聚合结果大小(termstype)
├─ subAggregationList	object []	N		子聚合参数列表	item type: object
├─ type	string	N		type(terms,range,max,min,avg)
filters	object []	N		过滤配置	item type: object
├─ boolOperator	number	N		bool操作type: 0-must;(参与分数计算,如无特殊需求,不推荐使用) 1-should; 2-mustNot; 3-filter;(不参与分数计算,推荐)
├─ field	string	N		过滤字段: h_index-h指数; lang-语言; nation-国家和地区; gender-性别;
├─ rangeOperator	string	N		判断符(rangetype使用:gt-大于;gte-大于等于;lt-小于;lte-小于等于;eq-等于)
├─ type	string	N		type: term-关键词过滤; terms-多关键词过滤; range-数值范围过滤;
├─ value	object	N		过滤值
├─ valueList	string []	N		多关键词过滤列表(termstype使用)	item type: string
├─		N
needDetails	boolean	N		查询属性
page	number	N		分页(起始页为0)
query	string	N		通用查询词
searchKeyWordList	object []	N		高级搜索词列表	item type: object
├─ advanced	boolean	N		是否高级搜索
├─ fieldMap	object	N		字段映射及字段权重(如无特殊需求,参数请勿添加此字段)
├─ keyword	string	Y		关键词
├─ language	number	N		词语言(如无特殊需求,参数请勿添加此字段)
├─ needTranslate	boolean	N		是否翻译(非必填,默认为false)
├─ operate	number	Y		搜索运算type: 0-并且; 1-或者; 2-且非;
├─ segmentationWord	boolean	N		是否分词(非必填,默认为false)
├─ userInput	boolean	N		是否用户输入(非必填,默认为true)
├─ weight	number	N		词权重(如无特殊需求,参数请勿添加此字段)
├─ wordType	number	Y		词type: 0-术语; 4-作者; 5-组织;
size	number	Y		页长(最小为1)
sort	object []	N		排序	item type: object
├─ asc	boolean	Y		升序排序
├─ field	string	Y		字段: h_index-h指数; activity-学术活跃度; rising_star-领域新星; n_citation-引用数; n_pubs-论文数;

Return

name	type	necessary	default	notes	Other Information
code	number	Y		错误码
success	boolean	Y		接口成功信息
data	object	Y		Return
├─ hitList	object []	N		命中列表	item type: object
├─ id	string	Y		id
├─ name	string	N		英文姓名
├─ nameZh	string	N		中文姓名
├─ gender	string	N		性别
├─ org	string	N		组织
├─ orgZh	string	N		中文组织
├─ interests	string []	N		研究兴趣	item type: string
├─		N
├─ avatar	string	N		头像
├─ language	string	N		语言( "chinese" "english" "french" "german" "greek" "japanese" "unknown" "korean" "indian" "hindi" "italian" "spanish" "dutch" "russian" "swedish" "arabic" "portuguese" "hebrew" "bengali" "turkish")
├─ location	string	N
├─ nation	string	N		国家或地区
├─ activity	number	N
├─ contact	object	N		人为标注信息
├─ gindex	number	N
├─ hindex	number	N
├─ npubs	number	N		论文数
├─ ncitation	number	N		引用数
├─ hitsTotal	number	N		命中数
├─ aggregationMap	object	N		聚合信息
msg	string	Y		接口成功说明

searchPublication

Information

Path： /soay.aminer.cn/searchPublication

Method： POST

Description：

Examples： 1.Basic Searching

{
    "query": "data mining",
    "needDetails": true,
    "page": 0,
    "size": 10
}

2.Complecated Searching

{
    "needDetails": true,
    "page": 0,
    "size": 20,
    "aggregations": [
        {
            "field": "keywords.keyword",
            "size": 20,
            "type": "terms"
        },
        {
            "field": "authors.orgid",
            "size": 20,
            "type": "terms"
        },
        {
            "field": "year",
            "size": 100,
            "type": "terms"
        }
    ],
    "filters": [
        {
            "boolOperator": 3,
            "type": "term",
            "value": "data structure",
            "field": "keywords.keyword"
        }
    ],
    "searchKeyWordList": [
        {
            "advanced": true,
            "keyword": "jiawei han",
            "operate": "0",
            "wordType": 4
        },
        {
            "advanced": true,
            "keyword": "Mining frequent patterns without candidate generation",
            "operate": "0",
            "wordType": 1
        }
    ]
}

Parameters

Headers

name	参数值	necessary	examples	notes
Content-Type	application/json	Y

Body

name	type	necessary	default	notes	Other Information
aggregations	object []	N		聚合配置	item type: object
├─ field	string	N		属性: keywords.keyword-关键词; authors.orgid-作者机构id; year-发表年份;
├─ order	object	N		聚合排序参数(termstype,filed不为_key及_count时为要排序的子聚合的路径)
├─ asc	boolean	Y		升序排序
├─ field	string	Y		字段
├─ rangeList	object []	N		分段列表(rangtype)	item type: object
├─ from	number	N		起始,gte
├─ to	number	N		截止,lte
├─ size	number	N		聚合结果大小(termstype)
├─ subAggregationList	object []	N		子聚合参数列表	item type: object
├─ type	string	N		type(terms,range,max,min,avg)
filters	object []	N		过滤配置	item type: object
├─ boolOperator	number	N		bool操作type: 0-must;(参与分数计算,且与should互斥,如无特殊需求,不推荐使用) 1-should; 2-mustNot; 3-filter;(不参与分数计算,推荐)
├─ field	string	N		过滤字段: keywords.keyword-关键词; authors.orgid-作者机构id; year-发表年份;
├─ rangeOperator	string	N		判断符(rangetype使用:gt-大于;gte-大于等于;lt-小于;lte-小于等于;eq-等于)
├─ type	string	N		type: term-关键词过滤; terms-多关键词过滤; range-数值范围过滤;
├─ value	object	N		过滤值
├─ valueList	string []	N		多关键词过滤列表(termstype使用)	item type: string
├─		N
needDetails	boolean	N		查询属性
page	number	Y		分页(起始页为0)
query	string	N		通用查询词
searchKeyWordList	object []	N		高级搜索词列表	item type: object
├─ advanced	boolean	N		是否高级搜索
├─ fieldMap	object	N		字段映射及字段权重(如无特殊需求,参数请勿添加此字段)
├─ keyword	string	Y		关键词
├─ language	number	N		词语言(如无特殊需求,参数请勿添加此字段)
├─ needTranslate	boolean	N		是否翻译(非必填,默认为false)
├─ operate	number	Y		搜索运算type: 0-并且; 1-或者; 2-且非;
├─ segmentationWord	boolean	N		是否分词(非必填,默认为false)
├─ userInput	boolean	N		是否用户输入(非必填,默认为true)
├─ weight	number	N		词权重(如无特殊需求,参数请勿添加此字段)
├─ wordType	number	Y		词type: 0-术语; 1-标题; 2-关键词; 3-摘要; 4-作者; 5-组织; 6-期刊;
size	number	Y		页长(最小为1)
sort	object []	N		排序	item type: object
├─ asc	boolean	Y		升序排序
├─ field	string	Y		字段: year-发表年份; n_citation-引用数;

Return

name	type	necessary	default	notes	Other Information
code	number	Y		错误码
success	boolean	Y		接口成功信息
data	object	Y		Return
├─ hitList	object []	N		结果列表	item type: object
├─ id	string	Y
├─ title	string	N		论文标题
├─ titleZh	string	N		中文标题
├─ authors	string []	N		作者	item type: string
├─		N
├─ language	string	N		语言
├─ year	number	N		发表年份
├─ pdf	string	N
├─ doi	string	N
├─ issn	string	N
├─ isbn	string	N
├─ pubAbstract	string	N		摘要
├─ pubAbstractZh	string	N		中文摘要
├─ url	string []	N			item type: string
├─		N
├─ keywords	string []	N		关键词	item type: string
├─		N
├─ keywordsZh	string []	N		中文关键词	item type: string
├─		N
├─ venue	object	N		期刊
├─ _id	string	N		期刊id
├─ raw	string	N		期刊name
├─ pageStart	string	N		起始页
├─ pageEnd	string	N		截止页
├─ pageString	string	N		起始页截止页字符串表示
├─ volume	string	N		期刊卷册号
├─ createDate	string	N
├─ ncitation	number	N		引用量
├─ hitsTotal	number	N		命中数量
├─ aggregationMap	object	N		聚合信息
msg	string	Y		接口成功信息

getPublication

Information

Path： /soay.aminer.cn/getPublication

Method： GET

Description：

Parameters

Query

name	necessary	examples	notes
id	是

Return

name	type	necessary	default	notes	Other Information
data	object []	N			item type: object
├─ cited_pubs	object	N
├─ total	number	N
├─ meta	object	N
├─ context	string	N
├─ time	string	N
├─ times	object []	N			item type: object
├─ d	number	N
├─ n	string	N
├─ s	string	N
├─ pub	object	N
├─ abstract	string	N		摘要
├─ authors	object []	N		作者列表	item type: object
├─ name	string	Y		作者姓名
├─ id	string	N		作者id
├─ org	string	N		作者机构
├─ orgid	string	N		机构id
├─ orgs	string []	N			item type: string
├─		N
├─ create_time	string	N
├─ doi	string	N
├─ hashs	object	N
├─ h1	string	N
├─ h3	string	N
├─ id	string	Y
├─ issn	string	N
├─ keywords	string []	N		关键词	item type: string
├─		N
├─ lang	string	N		语言
├─ num_citation	number	N		引用量
├─ pages	object	N		发表期刊所在页码
├─ end	string	N
├─ start	string	N
├─ title	string	Y		论文标题
├─ pdf	string	N		pdf文件链接
├─ update_times	object	N
├─ u_v_t	string	N
├─ u_a_t	string	N
├─ u_c_t	string	N		创建时间
├─ urls	string []	N		原文url	item type: string
├─		N
├─ venue	object	N		期刊信息(未对齐实体信息)
├─ info	object	N
├─ name	string	N
├─ issue	string	N
├─ volume	string	N
├─ venue_hhb_id	string	N		期刊id
├─ versions	object []	N		合并版本信息	item type: object
├─ id	string	N
├─ sid	string	N
├─ src	string	N
├─ vsid	string	N
├─ year	number	N
├─ year	number	N		发表年份
├─ succeed	boolean	N
├─ total_ref	number	N
├─ total_sim	number	N

getPersonBasicInfo

Information

Path： /soay.aminer.cn/getPersonBasicInfo

Method： GET

Description：

学者个人基础信息

Parameters

Query

name	necessary	examples	notes
id	Y		学者ID

Return

name	type	necessary	default	notes	Other Information
data	object []	N			item type: object
├─ data	object	N
├─ aff	string	N		机构
├─ aff_details	object	N		机构信息
├─ id	string	N		机构ID
├─ name_en	string	N		机构英文name
├─ name_zh	string	N		机构中文name
├─ aff_zh	string	N		机构(中文)
├─ bio	string	N		个人简介
├─ edu	string	N		教育经历
├─ email	string	N		邮箱
├─ first_paper_time	number	N		第一篇论文时间
├─ gender	string	N		性别
├─ geo_info	object	N		流动信息
├─ administrative_division	object	N
├─ country	string	N
├─ en0	string	N
├─ en1	string	N
├─ en2	string	N
├─ formatted_address	string	N
├─ geo	object	N
├─ lat	number	N
├─ lng	number	N
├─ id	string	N
├─ name	string	N
├─ org_id	string	N
├─ homepage	string	N		个人主页
├─ id	string	N
├─ labels	string []	N		标签	item type: string
├─		N
├─ language	string	N		语言
├─ links	object	N		个人主页链接
├─ gs	object	N		GoogleScholar个人主页
├─ creator	string	N		标注人员
├─ id	string	N
├─ type	string	N		连接type
├─ url	string	N		个人主页url
├─ resource	object	N
├─ resource_link	object []	N		个人主页链接	item type: object
├─ id	string	N		连接type:hp(个人主页),dblp(dblp主页)
├─ url	string	N		主页连接
├─ name	string	N		姓名
├─ name_zh	string	N		中文姓名
├─ position	string	N		职称
├─ position_zh	string	N		职称(中文)
├─ work_details	object	N		工作经历
├─ id	string	N
├─ name_en	string	N
├─ name_zh	string	N
├─ works	string	N		工作经历
├─ meta	object	N
├─ context	string	N
├─ time	string	N
├─ succeed	boolean	N

getPersonlnterest

Information

Path： /soay.aminer.cn/getPersonlnterest

Method： GET

Parameters

Query

name	necessary	examples	notes
id	Y	53f46a3edabfaee43ed05f08	学者id
is_year	N	true	按年份分组

Return

name	type	necessary	default	notes	Other Information
data	object []	N			item type: object
├─ data	object	N
├─ data	object	N
├─ data	object []	N			item type: object
├─ n	number	Y		兴趣程度
├─ t	string	Y		领域关键词
├─ year	array []	Y		年份	item type: array
├─		N
├─		N
├─ edited	boolean	N
├─ num	number	N
├─ succeed	boolean	N
├─ meta	object	N
├─ context	string	N
├─ time	string	N
├─ succeed	boolean	N

getCoauthors

Information

Path： /soay.aminer.cn/getCoauthors

Method： GET

Description：

学者网络关系

Parameters

Query

name	necessary	examples	notes
id	是		学者ID

Return

name	type	necessary	default	notes	Other Information
data	object []	N			item type: object
├─ data	object	N
├─ crs	object []	N		关联学者列表	item type: object
├─ id	string	Y
├─ name	string	Y		姓名
├─ relation	string	Y		学者关系
├─ w	number	Y		关系紧密度
├─ id	string	N
├─ name	string	N		学者姓名
├─ name_zh	string	N		学者姓名（中文）
├─ meta	object	N
├─ context	string	N
├─ time	string	N
├─ succeed	boolean	N

getPersonPubs

Information

Path： /soay.aminer.cn/getPersonPubs

Method： GET

Description：

学者论文信息

Parameters

Query

name	necessary	examples	notes
id	Y		学者id
offset	Y		偏移量
size	Y		每次获取条目数量
order	N	citation	排序方式，支持year和citation，未传默认为year，

Return

name	type	necessary	default	notes	Other Information
data	object []	N			item type: object
├─ data	object	N
├─ gindex	number	N		g-index
├─ hindex	number	N		h-index
├─ id	string	N
├─ name	string	N		姓名
├─ name_zh	string	N		姓名（中文）
├─ ncitation	number	N		论文引用量
├─ npubs	number	N		论文数
├─ pubs	object []	N		论文列表	item type: object
├─ abstract	string	Y		摘要
├─ id	string	Y
├─ link	string []	Y			item type: string
├─		N
├─ ncitation	number	Y		引用量
├─ title	string	Y		标题
├─ venue	string	Y		期刊
├─ year	number	Y		年份
├─ source_link	object []	Y			item type: object
├─ desc	string	Y
├─ link	string	Y
├─ peek	string	Y
├─ meta	object	N
├─ context	string	N
├─ time	string	N
├─ succeed	boolean	N