bboldt
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- .gitattributes +2 -0
- .gitignore +5 -0
- .gitmodules +21 -0
- README.md +20 -0
- croissant.json +1468 -0
- data/babyai-sr/code/.gitignore +1 -0
- data/babyai-sr/code/environment.editable.yml +14 -0
- data/babyai-sr/code/environment.yml +94 -0
- data/babyai-sr/code/helper.py +227 -0
- data/babyai-sr/code/repo +1 -0
- data/babyai-sr/code/run.sh +65 -0
- data/babyai-sr/code/util.py +1 -0
- data/babyai-sr/data/GoToObj/corpus.json +3 -0
- data/babyai-sr/data/GoToObj/corpus.jsonl +3 -0
- data/babyai-sr/data/GoToObj/corpus.structured.jsonl +3 -0
- data/babyai-sr/data/GoToObj/metadata.json +25 -0
- data/babyai-sr/data/GoToObjLocked/corpus.json +3 -0
- data/babyai-sr/data/GoToObjLocked/corpus.jsonl +3 -0
- data/babyai-sr/data/GoToObjLocked/corpus.structured.jsonl +3 -0
- data/babyai-sr/data/GoToObjLocked/metadata.json +25 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-freq_1/corpus.json +3 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-freq_1/corpus.jsonl +3 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-freq_1/corpus.structured.jsonl +3 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-freq_1/metadata.json +25 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-freq_2/corpus.json +3 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-freq_2/corpus.jsonl +3 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-freq_2/corpus.structured.jsonl +3 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-freq_2/metadata.json +25 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-freq_32/corpus.json +3 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-freq_32/corpus.jsonl +3 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-freq_32/corpus.structured.jsonl +3 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-freq_32/metadata.json +25 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-freq_4/corpus.json +3 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-freq_4/corpus.jsonl +3 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-freq_4/corpus.structured.jsonl +3 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-freq_4/metadata.json +25 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-msg_16/corpus.json +3 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-msg_16/corpus.jsonl +3 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-msg_16/corpus.structured.jsonl +3 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-msg_16/metadata.json +25 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-msg_32/corpus.json +3 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-msg_32/corpus.jsonl +3 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-msg_32/corpus.structured.jsonl +3 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-msg_32/metadata.json +25 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-msg_4/corpus.json +3 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-msg_4/corpus.jsonl +3 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-msg_4/corpus.structured.jsonl +3 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous-msg_4/metadata.json +25 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous/corpus.json +3 -0
- data/babyai-sr/data/GoToObjLocked_ambiguous/corpus.jsonl +3 -0
.gitattributes
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corpus*.jsonl filter=lfs diff=lfs merge=lfs -text
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corpus*.json filter=lfs diff=lfs merge=lfs -text
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.gitignore
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output-data/
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input-data/
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.direnv/
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.envrc
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+
__pycache__/
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.gitmodules
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[submodule "library/egg-discrimination/code/EGG"]
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path = data/egg-discrimination/code/repo
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+
url = https://github.com/facebookresearch/EGG
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+
[submodule "library/generalizations-mu-goodman/code/repo"]
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path = data/generalizations-mu-goodman/code/repo
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+
url = https://github.com/brendon-boldt/emergent-generalization
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+
[submodule "library/ec-at-scale/emergent_communication_at_scale"]
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+
path = data/ec-at-scale/code/emergent_communication_at_scale
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+
url = https://github.com/brendon-boldt/emergent_communication_at_scale
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+
[submodule "library/corpus-transfer-yao-et-al/repo"]
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path = data/corpus-transfer-yao-et-al/code/repo
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url = https://github.com/brendon-boldt/ec-nl
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[submodule "library/rlupus/repo"]
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path = data/rlupus/code/repo
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url = https://github.com/brendon-boldt/rl_werewolf
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[submodule "library/comon-iccv/code/repo"]
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path = library/comon-iccv/code/repo
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url = https://github.com/saimwani/CoMON
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[submodule "library/babyai-sr/code/repo"]
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path = data/babyai-sr/code/repo
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url = https://github.com/brendon-boldt/babyai_sr
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README.md
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# Emergent Language Library
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## Running code
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For each emergent language entry, we provide wrapper code to create
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a reproducible environment and run the emergent language-generating code.
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Environments are specified precisely in the `environment.yml` file; if you wish
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to edit the dependencies manually, it may be easier to start with
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`environment.editable.yml` instead, if it exists.
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### Git submodules
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This project uses git submodules to manage external dependencies. Submodules
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do not always operate in an intuitive way, so we provide a brief explanation of
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how to use them here. By default, submodules are not "init-ed" which means
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that they will be empty after you clone the project. If you would like to
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populate a submodule (i.e., the directory pointing to another repo) to see or
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use its code, run `git submodule init path/to/submodule` to mark it as init-ed.
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Second, run `git submodule update` to populated init-ed submodules. Run `git
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submodule deinit -f path/to/submodule` to make the submodule empty again.
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croissant.json
ADDED
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|
|
1 |
+
{
|
2 |
+
"@context": {
|
3 |
+
"@language": "en",
|
4 |
+
"@vocab": "https://schema.org/",
|
5 |
+
"citeAs": "cr:citeAs",
|
6 |
+
"column": "cr:column",
|
7 |
+
"conformsTo": "dct:conformsTo",
|
8 |
+
"cr": "http://mlcommons.org/croissant/",
|
9 |
+
"rai": "http://mlcommons.org/croissant/RAI/",
|
10 |
+
"data": {
|
11 |
+
"@id": "cr:data",
|
12 |
+
"@type": "@json"
|
13 |
+
},
|
14 |
+
"dataType": {
|
15 |
+
"@id": "cr:dataType",
|
16 |
+
"@type": "@vocab"
|
17 |
+
},
|
18 |
+
"dct": "http://purl.org/dc/terms/",
|
19 |
+
"examples": {
|
20 |
+
"@id": "cr:examples",
|
21 |
+
"@type": "@json"
|
22 |
+
},
|
23 |
+
"extract": "cr:extract",
|
24 |
+
"field": "cr:field",
|
25 |
+
"fileProperty": "cr:fileProperty",
|
26 |
+
"fileObject": "cr:fileObject",
|
27 |
+
"fileSet": "cr:fileSet",
|
28 |
+
"format": "cr:format",
|
29 |
+
"includes": "cr:includes",
|
30 |
+
"isLiveDataset": "cr:isLiveDataset",
|
31 |
+
"jsonPath": "cr:jsonPath",
|
32 |
+
"key": "cr:key",
|
33 |
+
"md5": "cr:md5",
|
34 |
+
"parentField": "cr:parentField",
|
35 |
+
"path": "cr:path",
|
36 |
+
"recordSet": "cr:recordSet",
|
37 |
+
"references": "cr:references",
|
38 |
+
"regex": "cr:regex",
|
39 |
+
"repeated": "cr:repeated",
|
40 |
+
"replace": "cr:replace",
|
41 |
+
"sc": "https://schema.org/",
|
42 |
+
"separator": "cr:separator",
|
43 |
+
"source": "cr:source",
|
44 |
+
"subField": "cr:subField",
|
45 |
+
"transform": "cr:transform"
|
46 |
+
},
|
47 |
+
"@type": "sc:Dataset",
|
48 |
+
"name": "ELCC",
|
49 |
+
"description": "ELCC is a collection of emergent language corpora with accompanying metadata and analyses.",
|
50 |
+
"conformsTo": "http://mlcommons.org/croissant/1.0",
|
51 |
+
"citeAs": " @misc{boldt2024elcc,\n title = \"{ELCC}: the Emergent Language Corpus Collection\",\n author = \"Brendon Boldt and David Mortensen\",\n year = 2024,\n url = \"\",\n}",
|
52 |
+
"datePublished": "2024-06-05 22:14:16.853626+00:00",
|
53 |
+
"keywords": [
|
54 |
+
"emergent communication",
|
55 |
+
"emergent language",
|
56 |
+
"corpus"
|
57 |
+
],
|
58 |
+
"license": "https://creativecommons.org/licenses/by/4.0/",
|
59 |
+
"url": "https://huggingface.co/datasets/bboldt/elcc/",
|
60 |
+
"version": "0.1.0",
|
61 |
+
"distribution": [
|
62 |
+
{
|
63 |
+
"@type": "cr:FileObject",
|
64 |
+
"@id": "hf-repo",
|
65 |
+
"name": "hf-repo",
|
66 |
+
"contentUrl": "https://huggingface.co/datasets/bboldt/elcc/",
|
67 |
+
"encodingFormat": "git+https",
|
68 |
+
"sha256": "main"
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"@type": "cr:FileObject",
|
72 |
+
"@id": "data/ec-at-scale/data/imagenet-1x10/corpus.json",
|
73 |
+
"name": "data/ec-at-scale/data/imagenet-1x10/corpus.json",
|
74 |
+
"containedIn": {
|
75 |
+
"@id": "hf-repo"
|
76 |
+
},
|
77 |
+
"contentUrl": "data/ec-at-scale/data/imagenet-1x10/corpus.json",
|
78 |
+
"encodingFormat": "text/plain"
|
79 |
+
},
|
80 |
+
{
|
81 |
+
"@type": "cr:FileObject",
|
82 |
+
"@id": "data/ec-at-scale/data/imagenet-10x10/corpus.json",
|
83 |
+
"name": "data/ec-at-scale/data/imagenet-10x10/corpus.json",
|
84 |
+
"containedIn": {
|
85 |
+
"@id": "hf-repo"
|
86 |
+
},
|
87 |
+
"contentUrl": "data/ec-at-scale/data/imagenet-10x10/corpus.json",
|
88 |
+
"encodingFormat": "text/plain"
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"@type": "cr:FileObject",
|
92 |
+
"@id": "data/ec-at-scale/data/imagenet-5x5/corpus.json",
|
93 |
+
"name": "data/ec-at-scale/data/imagenet-5x5/corpus.json",
|
94 |
+
"containedIn": {
|
95 |
+
"@id": "hf-repo"
|
96 |
+
},
|
97 |
+
"contentUrl": "data/ec-at-scale/data/imagenet-5x5/corpus.json",
|
98 |
+
"encodingFormat": "text/plain"
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"@type": "cr:FileObject",
|
102 |
+
"@id": "data/ec-at-scale/data/imagenet-1x1/corpus.json",
|
103 |
+
"name": "data/ec-at-scale/data/imagenet-1x1/corpus.json",
|
104 |
+
"containedIn": {
|
105 |
+
"@id": "hf-repo"
|
106 |
+
},
|
107 |
+
"contentUrl": "data/ec-at-scale/data/imagenet-1x1/corpus.json",
|
108 |
+
"encodingFormat": "text/plain"
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"@type": "cr:FileObject",
|
112 |
+
"@id": "data/ec-at-scale/data/imagenet-10x1/corpus.json",
|
113 |
+
"name": "data/ec-at-scale/data/imagenet-10x1/corpus.json",
|
114 |
+
"containedIn": {
|
115 |
+
"@id": "hf-repo"
|
116 |
+
},
|
117 |
+
"contentUrl": "data/ec-at-scale/data/imagenet-10x1/corpus.json",
|
118 |
+
"encodingFormat": "text/plain"
|
119 |
+
},
|
120 |
+
{
|
121 |
+
"@type": "cr:FileObject",
|
122 |
+
"@id": "data/corpus-transfer-yao-et-al/data/coco_2014/corpus.json",
|
123 |
+
"name": "data/corpus-transfer-yao-et-al/data/coco_2014/corpus.json",
|
124 |
+
"containedIn": {
|
125 |
+
"@id": "hf-repo"
|
126 |
+
},
|
127 |
+
"contentUrl": "data/corpus-transfer-yao-et-al/data/coco_2014/corpus.json",
|
128 |
+
"encodingFormat": "text/plain"
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"@type": "cr:FileObject",
|
132 |
+
"@id": "data/corpus-transfer-yao-et-al/data/cc/corpus.json",
|
133 |
+
"name": "data/corpus-transfer-yao-et-al/data/cc/corpus.json",
|
134 |
+
"containedIn": {
|
135 |
+
"@id": "hf-repo"
|
136 |
+
},
|
137 |
+
"contentUrl": "data/corpus-transfer-yao-et-al/data/cc/corpus.json",
|
138 |
+
"encodingFormat": "text/plain"
|
139 |
+
},
|
140 |
+
{
|
141 |
+
"@type": "cr:FileObject",
|
142 |
+
"@id": "data/babyai-sr/data/GoToObjLocked_ambiguous-freq_32/corpus.json",
|
143 |
+
"name": "data/babyai-sr/data/GoToObjLocked_ambiguous-freq_32/corpus.json",
|
144 |
+
"containedIn": {
|
145 |
+
"@id": "hf-repo"
|
146 |
+
},
|
147 |
+
"contentUrl": "data/babyai-sr/data/GoToObjLocked_ambiguous-freq_32/corpus.json",
|
148 |
+
"encodingFormat": "text/plain"
|
149 |
+
},
|
150 |
+
{
|
151 |
+
"@type": "cr:FileObject",
|
152 |
+
"@id": "data/babyai-sr/data/GoToObjLocked_ambiguous-freq_4/corpus.json",
|
153 |
+
"name": "data/babyai-sr/data/GoToObjLocked_ambiguous-freq_4/corpus.json",
|
154 |
+
"containedIn": {
|
155 |
+
"@id": "hf-repo"
|
156 |
+
},
|
157 |
+
"contentUrl": "data/babyai-sr/data/GoToObjLocked_ambiguous-freq_4/corpus.json",
|
158 |
+
"encodingFormat": "text/plain"
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"@type": "cr:FileObject",
|
162 |
+
"@id": "data/babyai-sr/data/GoToObjUnlocked-msg_16/corpus.json",
|
163 |
+
"name": "data/babyai-sr/data/GoToObjUnlocked-msg_16/corpus.json",
|
164 |
+
"containedIn": {
|
165 |
+
"@id": "hf-repo"
|
166 |
+
},
|
167 |
+
"contentUrl": "data/babyai-sr/data/GoToObjUnlocked-msg_16/corpus.json",
|
168 |
+
"encodingFormat": "text/plain"
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"@type": "cr:FileObject",
|
172 |
+
"@id": "data/babyai-sr/data/GoToObjLocked_ambiguous-freq_1/corpus.json",
|
173 |
+
"name": "data/babyai-sr/data/GoToObjLocked_ambiguous-freq_1/corpus.json",
|
174 |
+
"containedIn": {
|
175 |
+
"@id": "hf-repo"
|
176 |
+
},
|
177 |
+
"contentUrl": "data/babyai-sr/data/GoToObjLocked_ambiguous-freq_1/corpus.json",
|
178 |
+
"encodingFormat": "text/plain"
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"@type": "cr:FileObject",
|
182 |
+
"@id": "data/babyai-sr/data/GoToObjLocked_ambiguous-msg_16/corpus.json",
|
183 |
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"name": "data/babyai-sr/data/GoToObjLocked_ambiguous-msg_16/corpus.json",
|
184 |
+
"containedIn": {
|
185 |
+
"@id": "hf-repo"
|
186 |
+
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|
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"@id": "data/rlupus/data/9-player.run-2/corpus.json"
|
1333 |
+
},
|
1334 |
+
"extract": {
|
1335 |
+
"fileProperty": "content"
|
1336 |
+
}
|
1337 |
+
}
|
1338 |
+
}
|
1339 |
+
]
|
1340 |
+
},
|
1341 |
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{
|
1342 |
+
"@type": "cr:RecordSet",
|
1343 |
+
"@id": "rlupus/21-player.run-1",
|
1344 |
+
"name": "rlupus/21-player.run-1",
|
1345 |
+
"field": [
|
1346 |
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{
|
1347 |
+
"@type": "cr:Field",
|
1348 |
+
"@id": "rlupus/21-player.run-1/content",
|
1349 |
+
"name": "content",
|
1350 |
+
"dataType": "sc:Text",
|
1351 |
+
"source": {
|
1352 |
+
"fileObject": {
|
1353 |
+
"@id": "data/rlupus/data/21-player.run-1/corpus.json"
|
1354 |
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},
|
1355 |
+
"extract": {
|
1356 |
+
"fileProperty": "content"
|
1357 |
+
}
|
1358 |
+
}
|
1359 |
+
}
|
1360 |
+
]
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"@type": "cr:RecordSet",
|
1364 |
+
"@id": "rlupus/9-player.run-1",
|
1365 |
+
"name": "rlupus/9-player.run-1",
|
1366 |
+
"field": [
|
1367 |
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{
|
1368 |
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"@type": "cr:Field",
|
1369 |
+
"@id": "rlupus/9-player.run-1/content",
|
1370 |
+
"name": "content",
|
1371 |
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"dataType": "sc:Text",
|
1372 |
+
"source": {
|
1373 |
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"fileObject": {
|
1374 |
+
"@id": "data/rlupus/data/9-player.run-1/corpus.json"
|
1375 |
+
},
|
1376 |
+
"extract": {
|
1377 |
+
"fileProperty": "content"
|
1378 |
+
}
|
1379 |
+
}
|
1380 |
+
}
|
1381 |
+
]
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"@type": "cr:RecordSet",
|
1385 |
+
"@id": "egg-discrimination/6-attr_6-val_9-dist_10-vocab_10-len",
|
1386 |
+
"name": "egg-discrimination/6-attr_6-val_9-dist_10-vocab_10-len",
|
1387 |
+
"field": [
|
1388 |
+
{
|
1389 |
+
"@type": "cr:Field",
|
1390 |
+
"@id": "egg-discrimination/6-attr_6-val_9-dist_10-vocab_10-len/content",
|
1391 |
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"name": "content",
|
1392 |
+
"dataType": "sc:Text",
|
1393 |
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"source": {
|
1394 |
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"fileObject": {
|
1395 |
+
"@id": "data/egg-discrimination/data/6-attr_6-val_9-dist_10-vocab_10-len/corpus.json"
|
1396 |
+
},
|
1397 |
+
"extract": {
|
1398 |
+
"fileProperty": "content"
|
1399 |
+
}
|
1400 |
+
}
|
1401 |
+
}
|
1402 |
+
]
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"@type": "cr:RecordSet",
|
1406 |
+
"@id": "egg-discrimination/8-attr_8-val_3-dist_10-vocab_10-len",
|
1407 |
+
"name": "egg-discrimination/8-attr_8-val_3-dist_10-vocab_10-len",
|
1408 |
+
"field": [
|
1409 |
+
{
|
1410 |
+
"@type": "cr:Field",
|
1411 |
+
"@id": "egg-discrimination/8-attr_8-val_3-dist_10-vocab_10-len/content",
|
1412 |
+
"name": "content",
|
1413 |
+
"dataType": "sc:Text",
|
1414 |
+
"source": {
|
1415 |
+
"fileObject": {
|
1416 |
+
"@id": "data/egg-discrimination/data/8-attr_8-val_3-dist_10-vocab_10-len/corpus.json"
|
1417 |
+
},
|
1418 |
+
"extract": {
|
1419 |
+
"fileProperty": "content"
|
1420 |
+
}
|
1421 |
+
}
|
1422 |
+
}
|
1423 |
+
]
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"@type": "cr:RecordSet",
|
1427 |
+
"@id": "egg-discrimination/4-attr_4-val_3-dist_10-vocab_10-len",
|
1428 |
+
"name": "egg-discrimination/4-attr_4-val_3-dist_10-vocab_10-len",
|
1429 |
+
"field": [
|
1430 |
+
{
|
1431 |
+
"@type": "cr:Field",
|
1432 |
+
"@id": "egg-discrimination/4-attr_4-val_3-dist_10-vocab_10-len/content",
|
1433 |
+
"name": "content",
|
1434 |
+
"dataType": "sc:Text",
|
1435 |
+
"source": {
|
1436 |
+
"fileObject": {
|
1437 |
+
"@id": "data/egg-discrimination/data/4-attr_4-val_3-dist_10-vocab_10-len/corpus.json"
|
1438 |
+
},
|
1439 |
+
"extract": {
|
1440 |
+
"fileProperty": "content"
|
1441 |
+
}
|
1442 |
+
}
|
1443 |
+
}
|
1444 |
+
]
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"@type": "cr:RecordSet",
|
1448 |
+
"@id": "egg-discrimination/6-attr_6-val_3-dist_10-vocab_10-len",
|
1449 |
+
"name": "egg-discrimination/6-attr_6-val_3-dist_10-vocab_10-len",
|
1450 |
+
"field": [
|
1451 |
+
{
|
1452 |
+
"@type": "cr:Field",
|
1453 |
+
"@id": "egg-discrimination/6-attr_6-val_3-dist_10-vocab_10-len/content",
|
1454 |
+
"name": "content",
|
1455 |
+
"dataType": "sc:Text",
|
1456 |
+
"source": {
|
1457 |
+
"fileObject": {
|
1458 |
+
"@id": "data/egg-discrimination/data/6-attr_6-val_3-dist_10-vocab_10-len/corpus.json"
|
1459 |
+
},
|
1460 |
+
"extract": {
|
1461 |
+
"fileProperty": "content"
|
1462 |
+
}
|
1463 |
+
}
|
1464 |
+
}
|
1465 |
+
]
|
1466 |
+
}
|
1467 |
+
]
|
1468 |
+
}
|
data/babyai-sr/code/.gitignore
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
/save/
|
data/babyai-sr/code/environment.editable.yml
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
name: babyai-sr
|
2 |
+
channels:
|
3 |
+
- pytorch
|
4 |
+
- conda-forge
|
5 |
+
dependencies:
|
6 |
+
- python==3.7.*
|
7 |
+
- matplotlib<=3.1.3
|
8 |
+
- pytorch==1.5.1
|
9 |
+
- tensorboardx
|
10 |
+
- numpy==1.15.4
|
11 |
+
- pip:
|
12 |
+
- gym==0.9.6
|
13 |
+
- gym_minigrid@git+https://github.com/thomasaunger/gym-minigrid
|
14 |
+
- babyai@git+https://github.com/brendon-boldt/babyai-thomasaunger
|
data/babyai-sr/code/environment.yml
ADDED
@@ -0,0 +1,94 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
name: babyai-sr
|
2 |
+
channels:
|
3 |
+
- pytorch
|
4 |
+
- conda-forge
|
5 |
+
dependencies:
|
6 |
+
- _libgcc_mutex=0.1=conda_forge
|
7 |
+
- _openmp_mutex=4.5=2_kmp_llvm
|
8 |
+
- blas=2.122=mkl
|
9 |
+
- blas-devel=3.9.0=22_linux64_mkl
|
10 |
+
- ca-certificates=2024.2.2=hbcca054_0
|
11 |
+
- cudatoolkit=10.2.89=hdec6ad0_13
|
12 |
+
- cycler=0.11.0=pyhd8ed1ab_0
|
13 |
+
- dbus=1.13.6=hfdff14a_1
|
14 |
+
- expat=2.6.2=h59595ed_0
|
15 |
+
- fontconfig=2.14.2=h14ed4e7_0
|
16 |
+
- freetype=2.12.1=h267a509_2
|
17 |
+
- gettext=0.22.5=h59595ed_2
|
18 |
+
- gettext-tools=0.22.5=h59595ed_2
|
19 |
+
- glib=2.66.3=h58526e2_0
|
20 |
+
- gst-plugins-base=1.14.5=h0935bb2_2
|
21 |
+
- gstreamer=1.14.5=h36ae1b5_2
|
22 |
+
- icu=64.2=he1b5a44_1
|
23 |
+
- jpeg=9e=h0b41bf4_3
|
24 |
+
- kiwisolver=1.4.4=py37h7cecad7_0
|
25 |
+
- ld_impl_linux-64=2.40=hf3520f5_1
|
26 |
+
- libasprintf=0.22.5=h661eb56_2
|
27 |
+
- libasprintf-devel=0.22.5=h661eb56_2
|
28 |
+
- libblas=3.9.0=22_linux64_mkl
|
29 |
+
- libcblas=3.9.0=22_linux64_mkl
|
30 |
+
- libclang=9.0.1=default_hb4e5071_5
|
31 |
+
- libexpat=2.6.2=h59595ed_0
|
32 |
+
- libffi=3.2.1=he1b5a44_1007
|
33 |
+
- libgcc-ng=13.2.0=h77fa898_7
|
34 |
+
- libgettextpo=0.22.5=h59595ed_2
|
35 |
+
- libgettextpo-devel=0.22.5=h59595ed_2
|
36 |
+
- libgfortran-ng=13.2.0=h69a702a_7
|
37 |
+
- libgfortran5=13.2.0=hca663fb_7
|
38 |
+
- libglib=2.66.3=hbe7bbb4_0
|
39 |
+
- libiconv=1.17=hd590300_2
|
40 |
+
- liblapack=3.9.0=22_linux64_mkl
|
41 |
+
- liblapacke=3.9.0=22_linux64_mkl
|
42 |
+
- libllvm9=9.0.1=default_hc23dcda_7
|
43 |
+
- libpng=1.6.43=h2797004_0
|
44 |
+
- libprotobuf=3.20.1=h6239696_4
|
45 |
+
- libsqlite=3.45.3=h2797004_0
|
46 |
+
- libstdcxx-ng=13.2.0=hc0a3c3a_7
|
47 |
+
- libuuid=2.38.1=h0b41bf4_0
|
48 |
+
- libxcb=1.16=hd590300_0
|
49 |
+
- libxkbcommon=0.10.0=he1b5a44_0
|
50 |
+
- libxml2=2.9.10=hee79883_0
|
51 |
+
- libzlib=1.2.13=h4ab18f5_6
|
52 |
+
- llvm-openmp=18.1.6=ha31de31_0
|
53 |
+
- matplotlib=3.1.3=py37_0
|
54 |
+
- matplotlib-base=3.1.3=py37h250f245_0
|
55 |
+
- mkl=2024.1.0=ha957f24_693
|
56 |
+
- mkl-devel=2024.1.0=ha770c72_693
|
57 |
+
- mkl-include=2024.1.0=ha957f24_693
|
58 |
+
- ncurses=6.5=h59595ed_0
|
59 |
+
- ninja=1.12.1=h297d8ca_0
|
60 |
+
- nspr=4.35=h27087fc_0
|
61 |
+
- nss=3.100=hca3bf56_0
|
62 |
+
- numpy=1.15.4=py37h8b7e671_1002
|
63 |
+
- openssl=1.1.1w=hd590300_0
|
64 |
+
- pcre=8.45=h9c3ff4c_0
|
65 |
+
- pip=24.0=pyhd8ed1ab_0
|
66 |
+
- protobuf=3.20.1=py37hd23a5d3_0
|
67 |
+
- pthread-stubs=0.4=h36c2ea0_1001
|
68 |
+
- pyparsing=3.1.2=pyhd8ed1ab_0
|
69 |
+
- pyqt=5.12.3=py37h8685d9f_3
|
70 |
+
- python=3.7.8=h8bdb77d_2_cpython
|
71 |
+
- python-dateutil=2.9.0=pyhd8ed1ab_0
|
72 |
+
- python_abi=3.7=4_cp37m
|
73 |
+
- pytorch=1.5.1=py3.7_cuda10.2.89_cudnn7.6.5_0
|
74 |
+
- qt=5.12.5=hd8c4c69_1
|
75 |
+
- readline=8.2=h8228510_1
|
76 |
+
- setuptools=69.0.3=pyhd8ed1ab_0
|
77 |
+
- six=1.16.0=pyh6c4a22f_0
|
78 |
+
- sqlite=3.45.3=h2c6b66d_0
|
79 |
+
- tbb=2021.7.0=h924138e_0
|
80 |
+
- tensorboardx=2.5.1=pyhd8ed1ab_0
|
81 |
+
- tk=8.6.13=noxft_h4845f30_101
|
82 |
+
- tornado=6.2=py37h540881e_0
|
83 |
+
- typing-extensions=4.7.1=hd8ed1ab_0
|
84 |
+
- typing_extensions=4.7.1=pyha770c72_0
|
85 |
+
- wheel=0.42.0=pyhd8ed1ab_0
|
86 |
+
- xorg-libxau=1.0.11=hd590300_0
|
87 |
+
- xorg-libxdmcp=1.1.3=h7f98852_0
|
88 |
+
- xz=5.2.6=h166bdaf_0
|
89 |
+
- zlib=1.2.13=h4ab18f5_6
|
90 |
+
- zstd=1.5.6=ha6fb4c9_0
|
91 |
+
- pip:
|
92 |
+
- gym==0.9.6
|
93 |
+
- gym_minigrid@git+https://github.com/thomasaunger/gym-minigrid
|
94 |
+
- babyai@git+https://github.com/brendon-boldt/babyai-thomasaunger
|
data/babyai-sr/code/helper.py
ADDED
@@ -0,0 +1,227 @@
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
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|
|
|
|
|
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|
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|
|
|
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|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
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|
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|
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|
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|
|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
from argparse import Namespace
|
2 |
+
import json
|
3 |
+
from pathlib import Path
|
4 |
+
from typing import Tuple, List, Dict
|
5 |
+
|
6 |
+
import gym
|
7 |
+
import torch
|
8 |
+
import numpy as np
|
9 |
+
|
10 |
+
import babyai.utils as utils
|
11 |
+
import babyai_sr.utils as utils_sr
|
12 |
+
from babyai_sr.arguments import ArgumentParser
|
13 |
+
from babyai_sr.rl.algos import TestAlgo, BaseAlgo
|
14 |
+
from babyai_sr.rl.utils import ParallelEnv
|
15 |
+
import util as lib_util
|
16 |
+
|
17 |
+
##### based on repo/babyai_sr/rl/algos/test.py #####
|
18 |
+
|
19 |
+
SENDER = 0
|
20 |
+
RECEIVER = 1
|
21 |
+
|
22 |
+
|
23 |
+
def extract_messages(message, done, active) -> List[List[int]]:
|
24 |
+
argmax_messages = message.argmax(-1)[:, :, SENDER]
|
25 |
+
done_np = done.cpu().numpy()
|
26 |
+
done_idxs = np.argwhere(done_np)
|
27 |
+
message_list = []
|
28 |
+
for i in range(done_idxs.shape[0]):
|
29 |
+
prev_end = done_idxs[i - 1] if i > 0 else [0, -1]
|
30 |
+
end = done_idxs[i]
|
31 |
+
# If we are spanning the border between procs, adjust the prev_end
|
32 |
+
# to start at the end's proc.
|
33 |
+
if prev_end[0] != end[0]:
|
34 |
+
prev_end = [end[0], -1]
|
35 |
+
# Take messages from the given proc and
|
36 |
+
indexer = np.s_[prev_end[0], prev_end[1] + 1 : (end[1] + 1)]
|
37 |
+
ep_messages = argmax_messages[indexer]
|
38 |
+
# We only want messages for when the sender is active since the
|
39 |
+
# message is just repeated for the receiver until the sender is
|
40 |
+
# active again.
|
41 |
+
ep_active = active[indexer][:, SENDER]
|
42 |
+
final_ep_messages = ep_messages[ep_active]
|
43 |
+
message_list.append(final_ep_messages.cpu().tolist())
|
44 |
+
return message_list
|
45 |
+
|
46 |
+
|
47 |
+
class TestAlgo(BaseAlgo):
|
48 |
+
def __init__(
|
49 |
+
self,
|
50 |
+
env,
|
51 |
+
models,
|
52 |
+
num_frames_per_proc=40,
|
53 |
+
discount=0.99,
|
54 |
+
gae_lambda=0.99,
|
55 |
+
preprocess_obss=None,
|
56 |
+
reshape_reward=None,
|
57 |
+
use_comm=True,
|
58 |
+
conventional=False,
|
59 |
+
argmax=True,
|
60 |
+
):
|
61 |
+
|
62 |
+
super().__init__(
|
63 |
+
env,
|
64 |
+
models,
|
65 |
+
num_frames_per_proc,
|
66 |
+
discount,
|
67 |
+
gae_lambda,
|
68 |
+
preprocess_obss,
|
69 |
+
reshape_reward,
|
70 |
+
use_comm,
|
71 |
+
conventional,
|
72 |
+
argmax,
|
73 |
+
)
|
74 |
+
|
75 |
+
def collect_episodes(self, episodes):
|
76 |
+
# Collect experiences.
|
77 |
+
exps, _ = self.collect_experiences()
|
78 |
+
batch = 1
|
79 |
+
|
80 |
+
shape_prefix = (self.num_procs, self.num_frames_per_proc)
|
81 |
+
|
82 |
+
active = exps.active.view(*shape_prefix, *exps.active.shape[1:])
|
83 |
+
done = exps.done.view(*shape_prefix, *exps.done.shape[1:])
|
84 |
+
message = exps.message.view(*shape_prefix, *exps.message.shape[1:])
|
85 |
+
reward = exps.reward.view(*shape_prefix, *exps.reward.shape[1:])
|
86 |
+
|
87 |
+
log = {
|
88 |
+
"return_per_episode": [],
|
89 |
+
}
|
90 |
+
|
91 |
+
proc = 0
|
92 |
+
frame = [0] * self.num_procs
|
93 |
+
episodes_done = 0
|
94 |
+
while True:
|
95 |
+
if done[proc, frame[proc]]:
|
96 |
+
episodes_done += 1
|
97 |
+
log["return_per_episode"].append(
|
98 |
+
reward[proc, frame[proc], RECEIVER].item()
|
99 |
+
)
|
100 |
+
if episodes_done == episodes:
|
101 |
+
break
|
102 |
+
frame[proc] += 1
|
103 |
+
proc = (proc + 1) % self.num_procs
|
104 |
+
else:
|
105 |
+
frame[proc] += 1
|
106 |
+
|
107 |
+
if frame[proc] == batch * self.num_frames_per_proc:
|
108 |
+
exps, _ = self.collect_experiences()
|
109 |
+
batch += 1
|
110 |
+
|
111 |
+
next_active = exps.active.view(*shape_prefix, *exps.active.shape[1:])
|
112 |
+
next_done = exps.done.view(*shape_prefix, *exps.done.shape[1:])
|
113 |
+
next_message = exps.message.view(*shape_prefix, *exps.message.shape[1:])
|
114 |
+
next_reward = exps.reward.view(*shape_prefix, *exps.reward.shape[1:])
|
115 |
+
|
116 |
+
active = torch.cat((active, next_active), 1)
|
117 |
+
done = torch.cat((done, next_done), 1)
|
118 |
+
message = torch.cat((message, next_message), 1)
|
119 |
+
reward = torch.cat((reward, next_reward), 1)
|
120 |
+
|
121 |
+
message_list = extract_messages(message, done, active)
|
122 |
+
|
123 |
+
return message_list, log
|
124 |
+
|
125 |
+
|
126 |
+
##### based on repo/babyai_sr/scripts/test_rl.py #####
|
127 |
+
|
128 |
+
|
129 |
+
def parse_args() -> Namespace:
|
130 |
+
parser = ArgumentParser()
|
131 |
+
parser.add_argument("--name", help="name of the configuration")
|
132 |
+
parser.add_argument("--sender", default=None, help="name of the sender (REQUIRED)")
|
133 |
+
parser.add_argument(
|
134 |
+
"--receiver", default=None, help="name of the receiver (REQUIRED)"
|
135 |
+
)
|
136 |
+
parser.add_argument(
|
137 |
+
"--sample",
|
138 |
+
action="store_true",
|
139 |
+
default=False,
|
140 |
+
help="sample messages instead of using argmax",
|
141 |
+
)
|
142 |
+
parser.add_argument(
|
143 |
+
"--episodes",
|
144 |
+
type=int,
|
145 |
+
default=1000,
|
146 |
+
help="number of episodes to test on (default: 1000)",
|
147 |
+
)
|
148 |
+
parser.add_argument("--len-message", default=None, help="dummy")
|
149 |
+
parser.add_argument("--num-symbols", default=None, help="dummy")
|
150 |
+
return parser.parse_args()
|
151 |
+
|
152 |
+
|
153 |
+
def get_episodes(args: Namespace) -> Tuple[List, Dict]:
|
154 |
+
utils.seed(args.seed)
|
155 |
+
envs = []
|
156 |
+
for i in range(args.procs):
|
157 |
+
env = gym.make(args.env)
|
158 |
+
env.seed(100 * args.seed + i)
|
159 |
+
envs.append(env)
|
160 |
+
penv = ParallelEnv(
|
161 |
+
envs, args.n, args.conventional, args.archimedean, args.informed_sender
|
162 |
+
)
|
163 |
+
|
164 |
+
sender = utils.load_model(args.sender)
|
165 |
+
receiver = utils.load_model(args.receiver)
|
166 |
+
sender.eval()
|
167 |
+
receiver.eval()
|
168 |
+
if torch.cuda.is_available():
|
169 |
+
sender.cuda()
|
170 |
+
receiver.cuda()
|
171 |
+
|
172 |
+
reshape_reward = lambda _0, _1, reward, _2: args.reward_scale * reward
|
173 |
+
obss_preprocessor = utils_sr.MultiObssPreprocessor(
|
174 |
+
[args.sender, args.receiver], [envs[0].observation_space] * 2
|
175 |
+
)
|
176 |
+
test_algo = TestAlgo(
|
177 |
+
penv,
|
178 |
+
[sender, receiver],
|
179 |
+
args.frames_per_proc,
|
180 |
+
args.discount,
|
181 |
+
args.gae_lambda,
|
182 |
+
obss_preprocessor,
|
183 |
+
reshape_reward,
|
184 |
+
not args.no_comm,
|
185 |
+
args.conventional,
|
186 |
+
not args.sample,
|
187 |
+
)
|
188 |
+
|
189 |
+
return test_algo.collect_episodes(args.episodes)
|
190 |
+
|
191 |
+
|
192 |
+
def write_results(args: Namespace, message_list: List, logs: Dict) -> None:
|
193 |
+
out_path = Path(f"../../data/{args.name}")
|
194 |
+
out_path.mkdir(exist_ok=True, parents=True)
|
195 |
+
|
196 |
+
return_per_episode = utils.synthesize(logs["return_per_episode"])
|
197 |
+
success_per_episode = utils.synthesize(
|
198 |
+
[1 if r > 0 else 0 for r in logs["return_per_episode"]]
|
199 |
+
)
|
200 |
+
|
201 |
+
metrics = {
|
202 |
+
"success_rate": success_per_episode["mean"],
|
203 |
+
"success_rate_std": success_per_episode["std"],
|
204 |
+
"reward_per_episode": return_per_episode["mean"],
|
205 |
+
"reward_per_episode_std": return_per_episode["std"],
|
206 |
+
}
|
207 |
+
lib_util.write_system_metrics(out_path, metrics)
|
208 |
+
|
209 |
+
with (out_path / "corpus.jsonl").open("w") as fo:
|
210 |
+
for message in message_list:
|
211 |
+
flat = [x for y in message for x in y]
|
212 |
+
json.dump(flat, fo, indent=None)
|
213 |
+
fo.write("\n")
|
214 |
+
with (out_path / "corpus.structured.jsonl").open("w") as fo:
|
215 |
+
for message in message_list:
|
216 |
+
json.dump(message, fo, indent=None)
|
217 |
+
fo.write("\n")
|
218 |
+
|
219 |
+
|
220 |
+
def main() -> None:
|
221 |
+
args = parse_args()
|
222 |
+
message_list, logs = get_episodes(args)
|
223 |
+
write_results(args, message_list, logs)
|
224 |
+
|
225 |
+
|
226 |
+
if __name__ == "__main__":
|
227 |
+
main()
|
data/babyai-sr/code/repo
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
Subproject commit d4a3cb757614bc3b343608f751500eeb31f7db7a
|
data/babyai-sr/code/run.sh
ADDED
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
#!/usr/bin/env bash
|
2 |
+
|
3 |
+
set -xe
|
4 |
+
|
5 |
+
export PYTHONPATH=$(realpath repo/)
|
6 |
+
|
7 |
+
args_arr=(
|
8 |
+
"--name GoToObj --n 8 --env BabyAI-GoToObj-v0"
|
9 |
+
"--name GoToObjLocked --n 8 --env BabyAI-GoToObjLocked-v0"
|
10 |
+
|
11 |
+
"--name GoToObjUnlocked-freq_1 --n 1 --env BabyAI-GoToObjUnlocked-v0"
|
12 |
+
"--name GoToObjUnlocked-freq_2 --n 2 --env BabyAI-GoToObjUnlocked-v0"
|
13 |
+
"--name GoToObjUnlocked-freq_4 --n 4 --env BabyAI-GoToObjUnlocked-v0"
|
14 |
+
"--name GoToObjUnlocked --n 8 --env BabyAI-GoToObjUnlocked-v0"
|
15 |
+
"--name GoToObjUnlocked-freq_32 --n 32 --env BabyAI-GoToObjUnlocked-v0"
|
16 |
+
"--name GoToObjLocked_ambiguous-freq_1 --n 1 --env BabyAI-GoToObjLocked_ambiguous-v0"
|
17 |
+
"--name GoToObjLocked_ambiguous-freq_2 --n 2 --env BabyAI-GoToObjLocked_ambiguous-v0"
|
18 |
+
"--name GoToObjLocked_ambiguous-freq_4 --n 4 --env BabyAI-GoToObjLocked_ambiguous-v0"
|
19 |
+
"--name GoToObjLocked_ambiguous --n 8 --env BabyAI-GoToObjLocked_ambiguous-v0"
|
20 |
+
"--name GoToObjLocked_ambiguous-freq_32 --n 32 --env BabyAI-GoToObjLocked_ambiguous-v0"
|
21 |
+
|
22 |
+
"--name GoToObjUnlocked-msg_4 --len-message 4 --num-symbols 4 --n 8 --env BabyAI-GoToObjUnlocked-v0"
|
23 |
+
"--name GoToObjUnlocked-msg_16 --len-message 16 --num-symbols 16 --n 8 --env BabyAI-GoToObjUnlocked-v0"
|
24 |
+
"--name GoToObjUnlocked-msg_32 --len-message 32 --num-symbols 32 --n 8 --env BabyAI-GoToObjUnlocked-v0"
|
25 |
+
"--name GoToObjLocked_ambiguous-msg_4 --len-message 4 --num-symbols 4 --n 8 --env BabyAI-GoToObjLocked_ambiguous-v0"
|
26 |
+
"--name GoToObjLocked_ambiguous-msg_16 --len-message 16 --num-symbols 16 --n 8 --env BabyAI-GoToObjLocked_ambiguous-v0"
|
27 |
+
"--name GoToObjLocked_ambiguous-msg_32 --len-message 32 --num-symbols 32 --n 8 --env BabyAI-GoToObjLocked_ambiguous-v0"
|
28 |
+
)
|
29 |
+
|
30 |
+
function get_model_path {
|
31 |
+
sr=$1
|
32 |
+
mod=$(ls models | grep ".*ppo_expert.*$sr" | sort | tail -n1)
|
33 |
+
echo -n $mod
|
34 |
+
}
|
35 |
+
|
36 |
+
for idx in $(seq 0 $((${#args_arr[@]} - 1))); do
|
37 |
+
cd repo
|
38 |
+
args=${args_arr[$idx]}
|
39 |
+
# Remove the leading --name arg which is not in the train_rl.py script.
|
40 |
+
train_args=$(echo $args | cut -d' ' -f3-)
|
41 |
+
name=$(echo $args | cut -d' ' -f2)
|
42 |
+
|
43 |
+
# Be careful about running this in parallel because the code does not use
|
44 |
+
# assign unique names to configurations, so get_model_path might get the
|
45 |
+
# wrong path if multiple instances of this are run in parallel.
|
46 |
+
eval python scripts/train_rl.py \
|
47 |
+
--seed 1 \
|
48 |
+
--frames 5e7 \
|
49 |
+
--tb \
|
50 |
+
$train_args
|
51 |
+
|
52 |
+
orig_sender=$(get_model_path sender)
|
53 |
+
orig_receiver=$(get_model_path receiver)
|
54 |
+
sender=$name-sender
|
55 |
+
receiver=$name-receiver
|
56 |
+
mv -n models/{$orig_sender,$sender}
|
57 |
+
mv -n models/{$orig_receiver,$receiver}
|
58 |
+
|
59 |
+
eval python ../helper.py \
|
60 |
+
--episodes 5000 \
|
61 |
+
--sender $sender \
|
62 |
+
--receiver $receiver \
|
63 |
+
$args
|
64 |
+
cd ..
|
65 |
+
done
|
data/babyai-sr/code/util.py
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
../../../util/util.py
|
data/babyai-sr/data/GoToObj/corpus.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:37cb8f845fbf9f347e1b9472bfdeac4799a0ca96f9e18c285b93c718bb419ba0
|
3 |
+
size 273530
|
data/babyai-sr/data/GoToObj/corpus.jsonl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c888d062b91dbd1f1b30b8f723ac4f895da72e2757c9694ed624334fc8926799
|
3 |
+
size 398060
|
data/babyai-sr/data/GoToObj/corpus.structured.jsonl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5b970b708e83e1b05853a06996a3c77b1a16c57d86bc4803163d99faa7693520
|
3 |
+
size 430722
|
data/babyai-sr/data/GoToObj/metadata.json
ADDED
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metrics": {
|
3 |
+
"system": {
|
4 |
+
"success_rate": 0.9806,
|
5 |
+
"success_rate_std": 0.13792621215708056,
|
6 |
+
"reward_per_episode": 15.0256,
|
7 |
+
"reward_per_episode_std": 3.7433942484562057
|
8 |
+
},
|
9 |
+
"analysis": {
|
10 |
+
"Token Count": 130648,
|
11 |
+
"Line Count": 6116,
|
12 |
+
"Tokens per Line": 21.361674296926097,
|
13 |
+
"Tokens per Line SD": 12.470737340120614,
|
14 |
+
"Unique Tokens": 5,
|
15 |
+
"Unique Lines": 653,
|
16 |
+
"1-gram Entropy": 1.237630843236749,
|
17 |
+
"1-gram Normalized Entropy": 0.5330185917306742,
|
18 |
+
"2-gram Entropy": 1.5445187668655653,
|
19 |
+
"2-gram Conditional Entropy": 0.30688792362881623,
|
20 |
+
"Entropy per Line": 26.437866973053506,
|
21 |
+
"EoS Token Present": false,
|
22 |
+
"EoS Padding": false
|
23 |
+
}
|
24 |
+
}
|
25 |
+
}
|
data/babyai-sr/data/GoToObjLocked/corpus.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9b86360d1269c01d678edc51004eaa12c46251b868180bd9cc35e77f2b6c4391
|
3 |
+
size 556684
|
data/babyai-sr/data/GoToObjLocked/corpus.jsonl
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data/babyai-sr/data/GoToObjLocked_ambiguous-msg_4/corpus.json
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