data card added

taskmaster_v3-11_19_2021_20_43_35.json

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+{
+  "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": "[email protected]"
+    },
+    "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"
+    }
+  }
+}