Release BST human annotations (#3405)

* Add in human annotations

* Fix SHA

* Note

parlai/tasks/blended_skill_talk/README.md

@@ -25,5 +25,6 @@ The following files are downloaded when calling the BST dataset (for instance, w
 - `topic_to_persona_list.txt`: A list of WoW topics and the persona strings that they correspond to, used by the PersonaTopicifierTeachers to ensure that WoW topics are relevant given persona strings and vice versa
 - `ed_persona_topicifier__train__both_sides.json`, `ed_persona_topicifier__train__experiencer_only.json`, `ed_persona_topicifier__valid__experiencer_only.json`, and `ed_persona_topicifier__test__experiencer_only.json`: cached files of EmpatheticDialogues conversations with WoW topics and persona strings added to contexts, used by `EDPersonaTopicifierTeacher`. EmpatheticDialogues conversations consist of a Speaker describing a situation and a Listener responding empathetically: the choice of file used depends on whether we are considering conversation turns in which the previous utterance comes from either the Speaker or the Listener (`both_sides`) or from the Speaker (i.e. experiencer) only (`experiencer_only`)
 - `safe_personas.txt`: A list of safe personas, used with BlendedSkillTalk in interactive mode with `--safe-personas-only True`
+- `human_annotations.json`: The set of ~700 per-turn human annotations of conversations in the BlendedSkillTalk validation set. Conversation turns were annotated to indicate whether they exhibited the modes of knowledge, empathy, personal situations, and/or personal background.
 
 Tags: #BlendedSkillTalk, #All, #ChitChat

parlai/tasks/blended_skill_talk/build.py

@@ -60,12 +60,18 @@
         '2ee292aa0006ea002e9b23d4f7326fe9e17514ce5793d31fd8d679035d4366a7',
         zipped=False,
     ),
+    build_data.DownloadableFile(
+        'http://parl.ai/downloads/blended_skill_talk/human_annotations.json',
+        'human_annotations.json',
+        'fe76a989d4fdcfa4a5beb214054069ed0abf45f3530eaeb8df38e75f7bb14795',
+        zipped=False,
+    ),
 ]
 
 
 def build(opt):
     dpath = os.path.join(opt['datapath'], 'blended_skill_talk')
-    version = 'v1.4'
+    version = 'v1.5'
 
     if not build_data.built(dpath, version_string=version):
         print('[building data: ' + dpath + ']')