.

viggo.json

@@ -4,9 +4,9 @@
       "has-leaderboard": "no",
       "leaderboard-url": "N/A",
       "leaderboard-description": "N/A",
-      "website": "https://nlds.soe.ucsc.edu/viggo",
-      "paper-url": "https://aclanthology.org/W19-8623/",
-      "paper-bibtext": "@inproceedings{juraska-etal-2019-viggo,\n    title = \"{V}i{GGO}: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation\",\n    author = \"Juraska, Juraj  and\n      Bowden, Kevin  and\n      Walker, Marilyn\",\n    booktitle = \"Proceedings of the 12th International Conference on Natural Language Generation\",\n    month = oct # \"{--}\" # nov,\n    year = \"2019\",\n    address = \"Tokyo, Japan\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/W19-8623\",\n    doi = \"10.18653/v1/W19-8623\",\n    pages = \"164--172\",\n}",
+      "website": "[Wesbite](https://nlds.soe.ucsc.edu/viggo)",
+      "paper-url": "[ACL Anthology](https://aclanthology.org/W19-8623/)",
+      "paper-bibtext": "```\n@inproceedings{juraska-etal-2019-viggo,\n    title = \"{V}i{GGO}: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation\",\n    author = \"Juraska, Juraj  and\n      Bowden, Kevin  and\n      Walker, Marilyn\",\n    booktitle = \"Proceedings of the 12th International Conference on Natural Language Generation\",\n    month = oct # \"{--}\" # nov,\n    year = \"2019\",\n    address = \"Tokyo, Japan\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/W19-8623\",\n    doi = \"10.18653/v1/W19-8623\",\n    pages = \"164--172\",\n}\n```",
       "contact-name": "Juraj Juraska",
       "contact-email": "jjuraska@ucsc.edu"
     },
@@ -31,12 +31,15 @@
       "gem-added-by": "Juraj Juraska"
     },
     "structure": {
-      "data-fields": "Each example in the dataset has the following two fields:\n- `mr`: A meaning representation (MR) that, in a structured format, provides the information to convey, as well as the desired dialogue act (DA) type.\n- `ref`: A reference output, i.e., a corresponding utterance realizing all the information in the MR.\n\nEach MR is a flattened dictionary of attribute-and-value pairs, \"wrapped\" in the dialogue act type indication. This format was chosen primarily for its compactness, but also to allow for easy concatenation of multiple DAs (each with potentially different attributes) in a single MR.\n\nFollowing is the list of all possible attributes (which are also refered to as \"slots\") in ViGGO along with their types/possible values:\n- `name`: The name of a video game (e.g., Rise of the Tomb Raider).\n- `release_year`: The year a video game was released in (e.g., 2015).\n- `exp_release_date`: For a not-yet-released game, the date when it is expected to be released (e.g., February 22, 2019). *Note: This slot cannot appear together with `release_year` in the same dialogue act.*\n- `developer`: The name of the studio/person that created the game (e.g., Crystal Dynamics).\n- `genres`: A list of one or more genre labels from a set of possible values (e.g., action-adventure, shooter).\n- `player_perspective`: A list of one or more perspectives from which the game is/can be played (possible values: first person, third person, side view, bird view).\n- `platforms`: A list of one or more gaming platforms the game was officially released for (possible values: PC, PlayStation, Xbox, Nintendo, Nintendo Switch).\n- `esrb`: A game's content rating as determined by the ESRB (possible values: E (for Everyone), E 10+ (for Everyone 10 and Older), T (for Teen), M (for Mature)).\n- `rating`: Depending on the dialogue act this slot is used with, it is a categorical representation of either the game's average rating or the game's liking (possible values: excellent, good, average, poor).\n- `has_multiplayer`: Indicates whether a game supports multiplayer or can only be played in single-player mode (possible values: yes, no).\n- `available_on_steam`: Indicates whether a game can be purchased through the Steam digital distribution service (possible values: yes, no).\n- `has_linux_release`: Indicates whether a game is supported on Linux operating systems (possible values: yes, no).\n- `has_mac_release`: Indicates whether a game is supported on macOS (possible values: yes, no).\n- `specifier`: A game specifier used by the `request` DA, typically an adjective (e.g., addictive, easiest, overrated, visually impressive).\n\nEach MR in the dataset has 3 distinct reference utterances, which are represented as 3 separate examples with the same MR.",
+      "data-fields": "Each example in the dataset has the following two fields:\n\n- `mr`: A meaning representation (MR) that, in a structured format, provides the information to convey, as well as the desired dialogue act (DA) type.\n- `ref`: A reference output, i.e., a corresponding utterance realizing all the information in the MR.\n\nEach MR is a flattened dictionary of attribute-and-value pairs, \"wrapped\" in the dialogue act type indication. This format was chosen primarily for its compactness, but also to allow for easy concatenation of multiple DAs (each with potentially different attributes) in a single MR.\n\nFollowing is the list of all possible attributes (which are also refered to as \"slots\") in ViGGO along with their types/possible values:\n\n- `name`: The name of a video game (e.g., Rise of the Tomb Raider).\n- `release_year`: The year a video game was released in (e.g., 2015).\n- `exp_release_date`: For a not-yet-released game, the date when it is expected to be released (e.g., February 22, 2019). *Note: This slot cannot appear together with `release_year` in the same dialogue act.*\n- `developer`: The name of the studio/person that created the game (e.g., Crystal Dynamics).\n- `genres`: A list of one or more genre labels from a set of possible values (e.g., action-adventure, shooter).\n- `player_perspective`: A list of one or more perspectives from which the game is/can be played (possible values: first person, third person, side view, bird view).\n- `platforms`: A list of one or more gaming platforms the game was officially released for (possible values: PC, PlayStation, Xbox, Nintendo, Nintendo Switch).\n- `esrb`: A game's content rating as determined by the ESRB (possible values: E (for Everyone), E 10+ (for Everyone 10 and Older), T (for Teen), M (for Mature)).\n- `rating`: Depending on the dialogue act this slot is used with, it is a categorical representation of either the game's average rating or the game's liking (possible values: excellent, good, average, poor).\n- `has_multiplayer`: Indicates whether a game supports multiplayer or can only be played in single-player mode (possible values: yes, no).\n- `available_on_steam`: Indicates whether a game can be purchased through the Steam digital distribution service (possible values: yes, no).\n- `has_linux_release`: Indicates whether a game is supported on Linux operating systems (possible values: yes, no).\n- `has_mac_release`: Indicates whether a game is supported on macOS (possible values: yes, no).\n- `specifier`: A game specifier used by the `request` DA, typically an adjective (e.g., addictive, easiest, overrated, visually impressive).\n\nEach MR in the dataset has 3 distinct reference utterances, which are represented as 3 separate examples with the same MR.",
       "structure-description": "The dataset structure mostly follows the format of the popular E2E dataset, however, with added dialogue act type indications, new list-type attributes introduced, and unified naming convention for multi-word attribute names.",
       "structure-example": "```\n{\n    \"mr\": \"give_opinion(name[SpellForce 3], rating[poor], genres[real-time strategy, role-playing], player_perspective[bird view])\",\n    \"ref\": \"I think that SpellForce 3 is one of the worst games I've ever played. Trying to combine the real-time strategy and role-playing genres just doesn't work, and the bird view perspective makes it near impossible to play.\"\n}\n```",
-      "structure-splits": "ViGGO is split into 3 partitions, with no MRs in common between the training set and either of the validation and the test set (and that *after* delexicalizing the `name` and `developer` slots). The ratio of examples in the partitions is approximately 7.5 : 1 : 1.5, with their exact sizes listed below:\n- **Train:** 5,103 (1,675 unique MRs)\n- **Validation:** 714 (238 unique MRs)\n- **Test:** 1,083 (359 unique MRs)\n- **TOTAL:** 6,900 (2,253 unique MRs)\n\n*Note: The reason why the number of unique MRs is not exactly one third of all examples is that for each `request_attribute` DA (which only has one slot, and that without a value) 12 reference utterances were collected instead of 3.*",
+      "structure-splits": "ViGGO is split into 3 partitions, with no MRs in common between the training set and either of the validation and the test set (and that *after* delexicalizing the `name` and `developer` slots). The ratio of examples in the partitions is approximately 7.5 : 1 : 1.5, with their exact sizes listed below:\n\n- **Train:** 5,103 (1,675 unique MRs)\n- **Validation:** 714 (238 unique MRs)\n- **Test:** 1,083 (359 unique MRs)\n- **TOTAL:** 6,900 (2,253 unique MRs)\n\n*Note: The reason why the number of unique MRs is not exactly one third of all examples is that for each `request_attribute` DA (which only has one slot, and that without a value) 12 reference utterances were collected instead of 3.*",
       "structure-splits-criteria": "A similar MR length and slot distribution was preserved across the partitions. The distribution of DA types, on the other hand, is skewed slightly toward fewer `inform` DA instances (the most prevalent DA type) and a higher proportion of the less prevalent DAs in the validation and the test set.",
       "structure-outlier": "```\n{\n    \"mr\": \"request_attribute(player_perspective[])\",\n    \"ref\": \"Is there a certain player perspective that you prefer over others in games you play?\"\n},\n{\n    \"mr\": \"inform(name[FIFA 12], esrb[E (for Everyone)], genres[simulation, sport], player_perspective[bird view, side view], platforms[PlayStation, Xbox, Nintendo, PC], available_on_steam[no])\",\n    \"ref\": \"Fifa 12 is a decent sports simulator. It's pretty cool how the game swaps from the bird's eye perspective down to a side view while you're playing. You can get the game for PlayStation, Xbox, Nintendo consoles, and PC, but unfortunately it's not on Steam. Of course, as a sports game there's not much objectionable content so it's rated E.\"\n},\n{\n    \"mr\": \"inform(name[Super Bomberman], release_year[1993], genres[action, strategy], has_multiplayer[no], platforms[Nintendo, PC], available_on_steam[no], has_linux_release[no], has_mac_release[no])\",\n    \"ref\": \"Super Bomberman is one of my favorite Nintendo games, also available on PC, though not through Steam. It came out all the way back in 1993, and you can't get it for any modern consoles, unfortunately, so no online multiplayer, or of course Linux or Mac releases either. That said, it's still one of the most addicting action-strategy games out there.\"\n}\n```"
+    },
+    "what": {
+      "dataset": "ViGGO is an English data-to-text generation dataset in the video game domain, with target responses being more conversational than information-seeking, yet constrained to the information presented in a meaning representation. The dataset is relatively small with about 5,000 datasets but very clean, and can thus serve for evaluating transfer learning, low-resource, or few-shot capabilities of neural models."
     }
   },
   "curation": {