.

Taskmaster.json

@@ -4,10 +4,10 @@
       "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}",
+      "data-url": "[Github](https://github.com/google-research-datasets/Taskmaster/tree/master/TM-3-2020)",
+      "website": "[Github](https://github.com/google-research-datasets/Taskmaster/tree/master/TM-3-2020)",
+      "paper-url": "[Arxiv](https://arxiv.org/abs/2012.12458)",
+      "paper-bibtext": "```\n@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}\n```",
       "contact-name": "Karthik Krishnamoorthi",
       "contact-email": "[email protected]"
     },
@@ -35,13 +35,16 @@
       "gem-added-by": "Tosin Adewumi (Lule\u00e5 University of Technology)"
     },
     "structure": {
-      "data-fields": "gem_id\n0\n1\n2\nid",
+      "data-fields": "- `gem_id`: The unique example id\n- `context`: The context of the conversation\n- `target`: A string representing the target\n-`references`: A List representing the target(s)\n-`conversation_id`: A unique ID of the conversation",
       "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-example": "```\n{'context': \"<PR>get_movie_attribute<PRAN>rating.movie<PRAV>rated R<C><U>I wanna see a movie<A>where are you?<U>spring hills kansas<PN>find_theaters<PAN>location<PAV>spring hills kansas<PR>find_theaters<PRAN>name.theater<PRAV>AMC Holiday Theater<PRAV>Cinemark Downtown<A>there are 2 theaters near you, the AMC Holiday Theater and Cinemark Downtown. Did you know which movie you'd like to see?<U>funny one please<PN>find_movies<PAN>location<PAV>spring hills kansas<PR>find_movies<PRAN>name.movie<PRAV>Not My Problem<PRAV>Family Jewels<PN>get_movie_attribute<PAN>name.movie<PAV>Not My Problem<PAN>attribute<PAV>name.genre<PR>get_movie_attribute<PRAN>name.genre<PRAV>comedy<PN>get_movie_attribute<PAN>name.movie<PAV>Not My Problem<PAN>attribute<PAV>name.person<PR>get_movie_attribute<PRAN>name.person<PRAV>Matt Damon<PN>get_movie_attribute<PAN>name.movie<PAV>Not My Problem<PAN>attribute<PAV>name.person<PR>get_movie_attribute<PRAN>name.person<PRAV>Noah Schnapp<PN>get_movie_attribute<PAN>name.movie<PAV>Family Jewels<PAN>attribute<PAV>name.genre<PR>get_movie_attribute<PRAN>name.genre<PRAV>romantic comedy<PN>get_movie_attribute<PAN>name.movie<PAV>Family Jewels<PAN>attribute<PAV>name.person<PR>get_movie_attribute<PRAN>name.person<PRAV>Melissa McCarthy<PN>get_movie_attribute<PAN>name.movie<PAV>Family Jewels<PAN>attribute<PAV>name.person<PR>get_movie_attribute<PRAN>name.person<PRAV>Ryan Reynolds<A>There's the comedy film called Not My Problem starring Matt Damon and Noah Schnapp. There's also a romantic comedy called Family Jewels starring Melissa McCarthy and Ryan Reynolds.<U>what ratings are there?<PN>get_movie_attribute<PAN>name.movie<PAV>Not My Problem<PAN>attribute<PAV>rating.movie<PR>get_movie_attribute<PRAN>rating.movie<PRAV>rated PG-13<PN>get_movie_attribute<PAN>name.movie<PAV>Family Jewels<PAN>attribute<PAV>rating.movie\",\n 'conversation_id': 'dlg-d1f52e7e-c34c-4e85-b406-85ed138b5068',\n 'gem_id': 'Taskmaster-train-0',\n 'references': ['Not My Problem is rated PG-13 and Family Jewels is rated R.'],\n 'target': 'Not My Problem is rated PG-13 and Family Jewels is rated R.'}\n```",
+      "structure-splits": "-`train`: 187182 examples\n-`dev`: 23406 examples\n-`test`: 23316 examples",
       "structure-splits-criteria": "NA",
       "structure-outlier": "NA"
+    },
+    "what": {
+      "dataset": "This is a large task-oriented dialog dataset in which a model has to produce the response. The input contains the context and a structured representation of what the model is supposed to generate. The input is already pre-formatted as string, turning this into a pure text-to-text problem. "
     }
   },
   "curation": {