.

dataset_infos.json

@@ -0,0 +1 @@
+{"generation": {"description": "\n", "citation": "@article{kim2020domain,\n  title={Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access},\n  author={Seokhwan Kim and Mihail Eric and Karthik Gopalakrishnan and Behnam Hedayatnia and Yang Liu and Dilek Hakkani-Tur},\n  journal={arXiv preprint arXiv:2006.03533}\n  year={2020}\n}\n", "homepage": "https://github.com/alexa/alexa-with-dstc10-track2-dataset", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "turns": [{"speaker": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "nbest": [{"hyp": {"dtype": "string", "id": null, "_type": "Value"}, "score": {"dtype": "float32", "id": null, "_type": "Value"}}]}], "knowledge": {"domain": {"dtype": "string", "id": null, "_type": "Value"}, "entity_name": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "body": {"dtype": "string", "id": null, "_type": "Value"}}, "response": {"dtype": "string", "id": null, "_type": "Value"}, "source": {"dtype": "string", "id": null, "_type": "Value"}, "linearized_input": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "dstc10_track2_task2", "config_name": "generation", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 50332821, "num_examples": 19184, "dataset_name": "dstc10_track2_task2"}, "validation": {"name": "validation", "num_bytes": 819517, "num_examples": 104, "dataset_name": "dstc10_track2_task2"}, "test": {"name": "test", "num_bytes": 6600484, "num_examples": 683, "dataset_name": "dstc10_track2_task2"}}, "download_checksums": {"https://raw.githubusercontent.com/alexa/alexa-with-dstc9-track1-dataset/master/data/train/logs.json": {"num_bytes": 96396446, "checksum": "39a87aafdc70e4adde0fc2e9b6e4caa3ab6ce8668bd7d17ea73b4534d7fa41d3"}, "https://raw.githubusercontent.com/alexa/alexa-with-dstc9-track1-dataset/master/data/train/labels.json": {"num_bytes": 6496347, "checksum": "615eac39a48f9068a30a92eff03092e301b20c43121cb5198acf8b3d67557d4e"}, "https://raw.githubusercontent.com/alexa/alexa-with-dstc9-track1-dataset/master/data/knowledge.json": {"num_bytes": 471645, "checksum": "c8490242c23101c4e7c3e3482acd1d6dbf26c788f62c0c87fcaf622ee5360372"}, "https://raw.githubusercontent.com/alexa/alexa-with-dstc10-track2-dataset/main/task2/data/val/logs.json": {"num_bytes": 2321433, "checksum": "d065b457a53d19cf1d8035e5c953df3540382e87d48ddd50380578638d1943a5"}, "https://raw.githubusercontent.com/alexa/alexa-with-dstc10-track2-dataset/main/task2/data/val/labels.json": {"num_bytes": 37931, "checksum": "8ff76887a7aea9ecceb0a59bbb477d6bd360df0d508a6ca75adc1de86a757b49"}, "https://raw.githubusercontent.com/alexa/alexa-with-dstc10-track2-dataset/main/task2/data/knowledge.json": {"num_bytes": 1979588, "checksum": "fb0facf7acc6831707e49e4dec39518a4c627f233ab6c13ffc5e3f3fab00e4ab"}, "https://raw.githubusercontent.com/alexa/alexa-with-dstc10-track2-dataset/main/task2/data/test/logs.json": {"num_bytes": 27842098, "checksum": "386a78fa7ed0abe8ab2961621f044dd6c7db6f718684604150d3b42b759ae1e2"}, "https://raw.githubusercontent.com/alexa/alexa-with-dstc10-track2-dataset/main/task2/data/test/labels.json": {"num_bytes": 274884, "checksum": "479d33cc6398730e63c4eed9b205a2e9f7039a2eee88f6f661700164cd69d190"}}, "download_size": 135820372, "post_processing_size": null, "dataset_size": 57752822, "size_in_bytes": 193573194}}

dstc10_track2_task2.py

@@ -26,7 +26,9 @@ _DESCRIPTION = """\
 """
 
 _BASE_URL_DSTC10 = "https://raw.githubusercontent.com/alexa/alexa-with-dstc10-track2-dataset/main/task2"
-_BASE_URL_DSTC9 = "https://raw.githubusercontent.com/alexa/alexa-with-dstc9-track1-dataset/master"
+_BASE_URL_DSTC9 = (
+    "https://raw.githubusercontent.com/alexa/alexa-with-dstc9-track1-dataset/master"
+)
 _URLs = {
     "train": {
         "logs": f"{_BASE_URL_DSTC9}/data/train/logs.json",
@@ -42,9 +44,10 @@ _URLs = {
         "logs": f"{_BASE_URL_DSTC10}/data/test/logs.json",
         "labels": f"{_BASE_URL_DSTC10}/data/test/labels.json",
         "knowledge": f"{_BASE_URL_DSTC10}/data/knowledge.json",
-    }
+    },
 }
 
+
 class DSTC10Track2Task2(datasets.GeneratorBasedBuilder):
 
     VERSION = datasets.Version("1.0.0")
@@ -72,20 +75,22 @@ class DSTC10Track2Task2(datasets.GeneratorBasedBuilder):
                         "nbest": [
                             {
                                 "hyp": datasets.Value("string"),
-                                "score": datasets.Value("float")
+                                "score": datasets.Value("float"),
                             }
-                        ]
+                        ],
                     }
                 ],
-                "knowledge":
-                    {
-                        "domain": datasets.Value("string"),
-                        "entity_name": datasets.Value("string"),
-                        "title": datasets.Value("string"),
-                        "body": datasets.Value("string"),
-                    },
+                "knowledge": {
+                    "domain": datasets.Value("string"),
+                    "entity_name": datasets.Value("string"),
+                    "title": datasets.Value("string"),
+                    "body": datasets.Value("string"),
+                },
                 "response": datasets.Value("string"),
                 "source": datasets.Value("string"),
+                "linearized_input": datasets.Value("string"),
+                "target": datasets.Value("string"),
+                "references": [datasets.Value("string")],
             }
         )
 
@@ -121,7 +126,10 @@ class DSTC10Track2Task2(datasets.GeneratorBasedBuilder):
             else:
                 source = label["source"]
 
-            domain, entity_id, doc_id = (label["knowledge"][0].get(key) for key in ["domain", "entity_id", "doc_id"])
+            domain, entity_id, doc_id = (
+                label["knowledge"][0].get(key)
+                for key in ["domain", "entity_id", "doc_id"]
+            )
             entity_name = knowledge_data[domain][str(entity_id)]["name"]
             snippet = knowledge_data[domain][str(entity_id)]["docs"][str(doc_id)]
 
@@ -134,11 +142,15 @@ class DSTC10Track2Task2(datasets.GeneratorBasedBuilder):
                     "domain": domain,
                     "entity_name": entity_name,
                     "title": snippet["title"],
-                    "body": snippet["body"]
+                    "body": snippet["body"],
                 },
-                "response": label["response"]
+                "response": label["response"],
+                "target": label["response"],
+                "references": [label["response"]],
             }
 
+            x["linearized_input"] = self._linearize_example(x)
+
             i += 1
 
             yield x["id"], x
@@ -152,9 +164,18 @@ class DSTC10Track2Task2(datasets.GeneratorBasedBuilder):
 
         return dl_manager.download_and_extract(urls)
 
+    def _linearize_example(self, d):
+        repr_string = ""
+        for t in d["turns"]:
+            repr_string += f"<{t['speaker']}> {t['text']} "
+        repr_string += f"|| knowledge domain: {d['knowledge']['domain']}, entity: {d['knowledge']['entity_name']}, title: {d['knowledge']['title']}, information: {d['knowledge']['body']}"
+        return repr_string
+
     def _split_generators(self, dl_manager) -> List[datasets.SplitGenerator]:
         urls_to_download = _URLs
-        downloaded_files = self._download_files(urls_to_download, self.config.data_files, dl_manager)
+        downloaded_files = self._download_files(
+            urls_to_download, self.config.data_files, dl_manager
+        )
         for split in ["train", "validation", "test"]:
             downloaded_files[split]["split"] = split
 
@@ -166,4 +187,3 @@ class DSTC10Track2Task2(datasets.GeneratorBasedBuilder):
                 (datasets.Split.TEST, "test"),
             )
         ]
-