{ "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,\"correcti'll love to see a movie tonightSure. What movie would you like to see?i havn't decided yet.can you help with any?No problem. Can you tell me what city you\u00c3\u00a2\u00c2\u0080\u00c2\u0099re in?in currently in oak valley,arkansas.find_movieslocationOak Valley, Arkansasfind_moviesname.movieNo Time To DieEmmaOk. There are a couple of popular films out in your area: No Time To Die and Emma. Do either of those sound interesting?i'm quite familiar with no time to die but tell me more about emma.get_movie_attributeattributedescription.plotname.movieEmmaget_movie_attributedescription.plotIn this adaptation of Jane Austen's classic novel, pretty socialite Emma Woodhouse, played by Gwyneth Paltrow, entertains herself by playing matchmaker for those around herOK. 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.hum i love that description,i'll love to book two tickets to emmafind_theaterslocationOak Valley, Arkansasname.movieEmmafind_theatersname.theaterAMC Mercado 24find_showtimesdate.showingtonightname.movieEmmaname.theaterAMC Mercado 24find_showtimestime.showing5:00pm7:10pm9:45pmOK. Emma is playing at AMC Mercado 24 today at 5:00pm, 7:10pm, and 9:45pm. Which time would you like?7:10pm is fineAll 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" } } }