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Title | Question Answering in |
Description | QuAC Question Answering in Context (QuAC) is a dataset for modeling, understanding, and participating in information seeking dialog. Data instances consist of an interactive dialog between two crowd workers: (1) a student who poses a sequence of freeform |
Keywords | N/A |
WebSite | quac.ai |
Host IP | 185.199.111.153 |
Location | - |
Site | Rank |
US$4,560,918
Last updated: 2023-05-03 11:28:14
quac.ai has Semrush global rank of 2,320,652. quac.ai has an estimated worth of US$ 4,560,918, based on its estimated Ads revenue. quac.ai receives approximately 526,260 unique visitors each day. Its web server is located in -, with IP address 185.199.111.153. According to SiteAdvisor, quac.ai is safe to visit. |
Purchase/Sale Value | US$4,560,918 |
Daily Ads Revenue | US$4,211 |
Monthly Ads Revenue | US$126,303 |
Yearly Ads Revenue | US$1,515,629 |
Daily Unique Visitors | 35,084 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
quac.ai. | A | 1798 | IP: 185.199.111.153 |
quac.ai. | A | 1798 | IP: 185.199.108.153 |
quac.ai. | A | 1798 | IP: 185.199.110.153 |
quac.ai. | A | 1798 | IP: 185.199.109.153 |
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Home QuAC QuAC Question Answering in Context What is QuAC? Qu estion A nswering in C ontext is a dataset for modeling, understanding, and participating in information seeking dialog. Data instances consist of an interactive dialog between two crowd workers: (1) a student who poses a sequence of freeform questions to learn as much as possible about a hidden Wikipedia text, and (2) a teacher who answers the questions by providing short excerpts (spans) from the text. QuAC introduces challenges not found in existing machine comprehension datasets: its questions are often more open-ended, unanswerable, or only meaningful within the dialog context. QuAC paper QuAC poster QuAC is meant to be an academic resource and has significant limitations. Please read our detailed datasheet before considering it for any practical application. Datasheet Is QuAC exactly like SQuAD 2.0? No, QuAC shares many principles with SQuAD 2.0 such as span based evaluation and unanswerable questions (including |
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