| { | |
| "overview": { | |
| "where": { | |
| "has-leaderboard": "no", | |
| "leaderboard-url": "N/A", | |
| "leaderboard-description": "N/A", | |
| "data-url": "https://github.com/google-research-datasets/Taskmaster/tree/master/TM-3-2020", | |
| "website": "https://github.com/google-research-datasets/Taskmaster/tree/master/TM-3-2020", | |
| "paper-url": "https://arxiv.org/pdf/2012.12458.pdf", | |
| "paper-bibtext": "@article{byrne2020tickettalk,\n title={TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems},\n author={Byrne, Bill and Krishnamoorthi, Karthik and Ganesh, Saravanan and Kale, Mihir Sanjay},\n journal={arXiv preprint arXiv:2012.12458},\n year={2020}\n}", | |
| "contact-name": "Karthik Krishnamoorthi", | |
| "contact-email": "krishnamoorthi@google.com" | |
| }, | |
| "languages": { | |
| "is-multilingual": "no", | |
| "license": "cc-by-4.0: Creative Commons Attribution 4.0 International", | |
| "task-other": "N/A", | |
| "language-names": [ | |
| "English" | |
| ], | |
| "intended-use": "Dialogues", | |
| "license-other": "N/A", | |
| "task": "Dialog Response Generation", | |
| "communicative": "a movie ticketing dialog dataset with 23,789 annotated conversations. ", | |
| "language-dialects": "NA", | |
| "language-speakers": "NA" | |
| }, | |
| "credit": { | |
| "organization-type": [ | |
| "other" | |
| ], | |
| "organization-names": "NA", | |
| "creators": "Google researchers", | |
| "funding": "Google", | |
| "gem-added-by": "Tosin Adewumi (Lule\u00e5 University of Technology)" | |
| }, | |
| "structure": { | |
| "data-fields": "gem_id\n0\n1\n2\nid", | |
| "structure-description": "NA", | |
| "structure-labels": "NA", | |
| "structure-example": "GEM-TASKMASTER-TEST-0,0,\"<U>correct<C><U>i'll love to see a movie tonight<A>Sure. What movie would you like to see?<U>i havn't decided yet.can you help with any?<A>No problem. Can you tell me what city you\u00c3\u00a2\u00c2\u0080\u00c2\u0099re in?<U>in currently in oak valley,arkansas.<PN>find_movies<PAN>location<PAV>Oak Valley, Arkansas<PR>find_movies<PRAN>name.movie<PRAV>No Time To Die<PRAV>Emma<A>Ok. There are a couple of popular films out in your area: No Time To Die and Emma. Do either of those sound interesting?<U>i'm quite familiar with no time to die but tell me more about emma.<PN>get_movie_attribute<PAN>attribute<PAV>description.plot<PAN>name.movie<PAV>Emma<PR>get_movie_attribute<PRAN>description.plot<PRAV>In this adaptation of Jane Austen's classic novel, pretty socialite Emma Woodhouse, played by Gwyneth Paltrow, entertains herself by playing matchmaker for those around her<A>OK. Here\u00c3\u00a2\u00c2\u0080\u00c2\u0099s the description of Emma: In this adaptation of Jane Austen's classic novel, pretty socialite Emma Woodhouse, played by Gwyneth Paltrow, entertains herself by playing matchmaker for those around her.<U>hum i love that description,i'll love to book two tickets to emma<PN>find_theaters<PAN>location<PAV>Oak Valley, Arkansas<PAN>name.movie<PAV>Emma<PR>find_theaters<PRAN>name.theater<PRAV>AMC Mercado 24<PN>find_showtimes<PAN>date.showing<PAV>tonight<PAN>name.movie<PAV>Emma<PAN>name.theater<PAV>AMC Mercado 24<PR>find_showtimes<PRAN>time.showing<PRAV>5:00pm<PRAV>7:10pm<PRAV>9:45pm<A>OK. Emma is playing at AMC Mercado 24 today at 5:00pm, 7:10pm, and 9:45pm. Which time would you like?<U>7:10pm is fine<A>All right. Let me confirm that you\u00c3\u00a2\u00c2\u0080\u00c2\u0099d like two tickets for Emma at AMC Mercado 24 tonight at 7:10pm. Is that all correct?\",[A]Is it OK to go ahead and purchase these tickets?,dlg-32b67f97-6fcb-4135-b0bc-ac6aa248b889", | |
| "structure-splits": "train\ndev\ntest", | |
| "structure-splits-criteria": "NA", | |
| "structure-outlier": "NA" | |
| } | |
| }, | |
| "curation": { | |
| "original": { | |
| "is-aggregated": "no", | |
| "aggregated-sources": "N/A", | |
| "rationale": "NA", | |
| "communicative": "a movie ticketing dialog dataset with 23,789 annotated conversations." | |
| }, | |
| "language": { | |
| "found": [], | |
| "crowdsourced": [ | |
| "Participatory experiment" | |
| ], | |
| "created": "N/A", | |
| "machine-generated": "N/A", | |
| "validated": "not validated", | |
| "is-filtered": "not filtered", | |
| "filtered-criteria": "N/A", | |
| "obtained": [ | |
| "Crowdsourced" | |
| ], | |
| "producers-description": "NA", | |
| "topics": "Ticketing", | |
| "pre-processed": "N/A" | |
| }, | |
| "annotations": { | |
| "origin": "none", | |
| "rater-number": "N/A", | |
| "rater-qualifications": "N/A", | |
| "rater-training-num": "N/A", | |
| "rater-test-num": "N/A", | |
| "rater-annotation-service-bool": "no", | |
| "rater-annotation-service": [], | |
| "values": "N/A", | |
| "quality-control": [], | |
| "quality-control-details": "N/A" | |
| }, | |
| "consent": { | |
| "has-consent": "no", | |
| "consent-policy": "N/A", | |
| "consent-other": "N/A", | |
| "no-consent-justification": "NA" | |
| }, | |
| "pii": { | |
| "has-pii": "no PII", | |
| "no-pii-justification": "It's based on ticketing without personal information", | |
| "is-pii-identified": "N/A", | |
| "pii-identified-method": "N/A", | |
| "is-pii-replaced": "N/A", | |
| "pii-replaced-method": "N/A", | |
| "pii-categories": [] | |
| }, | |
| "maintenance": { | |
| "has-maintenance": "no", | |
| "description": "N/A", | |
| "contact": "N/A", | |
| "contestation-mechanism": "N/A", | |
| "contestation-link": "N/A", | |
| "contestation-description": "N/A" | |
| } | |
| }, | |
| "gem": { | |
| "rationale": { | |
| "sole-task-dataset": "yes", | |
| "distinction-description": "NA", | |
| "contribution": "Dialogue generation that makes sense", | |
| "sole-language-task-dataset": "no", | |
| "model-ability": "NA" | |
| }, | |
| "curation": { | |
| "has-additional-curation": "yes", | |
| "modification-types": [ | |
| "other" | |
| ], | |
| "modification-description": "gem_id field was added to the 3 data splits", | |
| "has-additional-splits": "no", | |
| "additional-splits-description": "N/A", | |
| "additional-splits-capacicites": "N/A" | |
| }, | |
| "starting": { | |
| "research-pointers": "https://github.com/google-research-datasets/Taskmaster/tree/master/TM-3-2020", | |
| "technical-terms": "NA" | |
| } | |
| }, | |
| "results": { | |
| "results": { | |
| "other-metrics-definitions": "N/A", | |
| "has-previous-results": "yes", | |
| "current-evaluation": "NA", | |
| "previous-results": "NA", | |
| "model-abilities": "BLEU: 60", | |
| "metrics": [ | |
| "BLEU" | |
| ], | |
| "original-evaluation": "automatic evaluation" | |
| } | |
| }, | |
| "considerations": { | |
| "pii": { | |
| "risks-description": "NA" | |
| }, | |
| "licenses": { | |
| "dataset-restrictions-other": "N/A", | |
| "data-copyright-other": "N/A", | |
| "dataset-restrictions": [ | |
| "open license - commercial use allowed" | |
| ], | |
| "data-copyright": [ | |
| "public domain" | |
| ] | |
| }, | |
| "limitations": { | |
| "data-technical-limitations": "NA", | |
| "data-unsuited-applications": "NA", | |
| "data-discouraged-use": "NA" | |
| } | |
| }, | |
| "context": { | |
| "previous": { | |
| "is-deployed": "no", | |
| "described-risks": "N/A", | |
| "changes-from-observation": "N/A" | |
| }, | |
| "underserved": { | |
| "helps-underserved": "no", | |
| "underserved-description": "N/A" | |
| }, | |
| "biases": { | |
| "has-biases": "unsure", | |
| "bias-analyses": "N/A", | |
| "speaker-distibution": "NA" | |
| } | |
| } | |
| } |