OpenScientificCodeRegistry/Database
Open Scientific Code Registry (OSCR): the authors' scripts The code published by the authors of open-access neuroscience papers, as found and verified by Open Scientific Code Registry (OSCR). Each file is here exactly as it is at the source, at the verified commit, under the license of its repository. 421,275 unique files (3,782 MB of text) from 8,849 repositories, in 24 Parquet block(s). Only files whose repository's license allows redistribution, confirmed by the repository's… See the full description on the dataset page: https://huggingface.co/datasets/OpenScientificCodeRegistry/Database.
05.6k
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/facebookresearch/open-eqa",4 "url": "https://github.com/facebookresearch/open-eqa",5 "host": "github.com",6 "commit": "cfa3fce4595c1622bb2f8a38ae2ca9aae9eb685b",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11 {12 "path": "LICENSE",13 "sha256": "da6d3703ed11cbe42bd212c725957c98da23cbff1998c05fa4b3d976d1a58e93",14 "language": "License",15 "lines": 21,16 "truncated": false,17 "block": 6,18 "row": 183019 },20 {21 "path": "README.md",22 "sha256": "f277c320c47f30856a7437786c5b21389d8c02a6296ca2721626f134a310f2c4",23 "language": "Text",24 "lines": 72,25 "truncated": false,26 "block": 8,27 "row": 1022728 },29 {30 "path": "data/frames2videos.py",31 "sha256": "f03c4051953251a20c46ba37e39e7defc0cf972e13b26a1c5562f5846accf5a7",32 "language": "Python",33 "lines": 82,34 "truncated": false,35 "block": 6,36 "row": 3319437 },38 {39 "path": "data/hm3d/config.py",40 "sha256": "7b2bbd3211a59306eb3d8994057cc88976c97ba23a27e34577c1f1637e3b6725",41 "language": "Python",42 "lines": 122,43 "truncated": false,44 "block": 6,45 "row": 3664846 },47 {48 "path": "data/hm3d/extract-frames.py",49 "sha256": "9867321428f1f30b27d939cb1aa6bc7eb6be6b8788ca03b4ebb4b9f555e601be",50 "language": "Python",51 "lines": 138,52 "truncated": false,53 "block": 6,54 "row": 3912555 },56 {57 "path": "data/scannet/SensorData.py",58 "sha256": "9a9c85741ba84d4a282c3a8beee83071c468eac8bd55fdfc68eceb5ee4991c32",59 "language": "Python",60 "lines": 206,61 "truncated": false,62 "block": 7,63 "row": 66264 },65 {66 "path": "data/scannet/extract-frames.py",67 "sha256": "2e8c8ca03be462eff1dafc71a60f913ec7f4a3e4d8ad3219a36bb0de58b67602",68 "language": "Python",69 "lines": 102,70 "truncated": false,71 "block": 6,72 "row": 3650173 },74 {75 "path": "evaluate-predictions.py",76 "sha256": "7d8376653ae15e758184a67d5f7fb9e6d42cc8356bd7193ae68ff41cd8cb64a2",77 "language": "Python",78 "lines": 122,79 "truncated": false,80 "block": 6,81 "row": 3851382 },83 {84 "path": "open-eqa-quickstart.ipynb",85 "sha256": "12094fa3a83451bdc54f02d4c469a019a1ae0e0bc9ed453d64a71f97c1abd615",86 "language": "Jupyter",87 "lines": 147,88 "truncated": false,89 "block": 5,90 "row": 1686891 },92 {93 "path": "openeqa/__init__.py",94 "sha256": "3b0e99d5abd3cb50eefce43b84ba8b233c23e79c13aec4ea8721908afb3fe5df",95 "language": "Python",96 "lines": 4,97 "truncated": false,98 "block": 6,99 "row": 21065100 },101 {102 "path": "openeqa/baselines/__init__.py",103 "sha256": "3b0e99d5abd3cb50eefce43b84ba8b233c23e79c13aec4ea8721908afb3fe5df",104 "language": "Python",105 "lines": 4,106 "truncated": false,107 "block": 6,108 "row": 21065109 },110 {111 "path": "openeqa/baselines/claude-vision.py",112 "sha256": "190e85bc91cfec22562893e6e00637a48a2dbdc2f47dadd38425694404db5343",113 "language": "Python",114 "lines": 178,115 "truncated": false,116 "block": 6,117 "row": 41643118 },119 {120 "path": "openeqa/baselines/gemini-pro-vision.py",121 "sha256": "5f12061f066a7e93e55adaf0311d42931f3cb5cfca3e0fed560792d35992a94a",122 "language": "Python",123 "lines": 178,124 "truncated": false,125 "block": 6,126 "row": 41615127 },128 {129 "path": "openeqa/baselines/gemini-pro.py",130 "sha256": "d719aa86e5b55c76b5060e2409bdeb52506b8717ce220b41c8eb136497aa4df4",131 "language": "Python",132 "lines": 120,133 "truncated": false,134 "block": 6,135 "row": 37313136 },137 {138 "path": "openeqa/baselines/gpt4.py",139 "sha256": "0ea28ba5880327349ccc90fbda3a28f1ccd32bf7872c6e75af2b541301f07a6c",140 "language": "Python",141 "lines": 162,142 "truncated": false,143 "block": 6,144 "row": 40317145 },146 {147 "path": "openeqa/baselines/gpt4v.py",148 "sha256": "c4551f06cb69fc757f6014913271275a750c633fbbb97a16ce5af37c1027c249",149 "language": "Python",150 "lines": 187,151 "truncated": false,152 "block": 6,153 "row": 41985154 },155 {156 "path": "openeqa/baselines/llama.py",157 "sha256": "9cbbc7f67a2bff57a548c63a78dadafe78a22f940204cf7bb692c42865a593ab",158 "language": "Python",159 "lines": 154,160 "truncated": false,161 "block": 6,162 "row": 40061163 },164 {165 "path": "openeqa/evaluation/__init__.py",166 "sha256": "3b0e99d5abd3cb50eefce43b84ba8b233c23e79c13aec4ea8721908afb3fe5df",167 "language": "Python",168 "lines": 4,169 "truncated": false,170 "block": 6,171 "row": 21065172 },173 {174 "path": "openeqa/evaluation/llm_match.py",175 "sha256": "0d33bf9e93473731a5b843d140b3818a3dabc9d86ab05e635708090de0365c55",176 "language": "Python",177 "lines": 82,178 "truncated": false,179 "block": 6,180 "row": 33907181 },182 {183 "path": "openeqa/utils/__init__.py",184 "sha256": "3b0e99d5abd3cb50eefce43b84ba8b233c23e79c13aec4ea8721908afb3fe5df",185 "language": "Python",186 "lines": 4,187 "truncated": false,188 "block": 6,189 "row": 21065190 },191 {192 "path": "openeqa/utils/anthropic_utils.py",193 "sha256": "5c566454591104c8a9f15827824dafce059e3b06646d2058db40efdbfda013b4",194 "language": "Python",195 "lines": 82,196 "truncated": false,197 "block": 6,198 "row": 33708199 },200 {201 "path": "openeqa/utils/demo_utils.py",202 "sha256": "f264ab139e36ef3610cdde537a04d7c9eed7ea94dcd5abb799934bce3c629a2c",203 "language": "Python",204 "lines": 23,205 "truncated": false,206 "block": 6,207 "row": 23303208 },209 {210 "path": "openeqa/utils/google_utils.py",211 "sha256": "db071c41b4f4c24cddebb8ab2aa8bf89066760d26b6cc6629a49806a296e3173",212 "language": "Python",213 "lines": 44,214 "truncated": false,215 "block": 6,216 "row": 27388217 },218 {219 "path": "openeqa/utils/llama_utils.py",220 "sha256": "d6bdf742c9a148e6831bc9b6909dd434f22ecf2847eada4e79bb43d611f6cb0a",221 "language": "Python",222 "lines": 103,223 "truncated": false,224 "block": 6,225 "row": 36585226 },227 {228 "path": "openeqa/utils/openai_utils.py",229 "sha256": "a44fc2e3d8642eab5e0cdcef6e90c0d538d28fdfdbe2d2d9a4e64b0f21556a5d",230 "language": "Python",231 "lines": 91,232 "truncated": false,233 "block": 6,234 "row": 34134235 },236 {237 "path": "openeqa/utils/prompt_utils.py",238 "sha256": "9dec77f9550e47c81495a67d70116b234a5dee623a35cf7438e78b72336fa1ad",239 "language": "Python",240 "lines": 25,241 "truncated": false,242 "block": 6,243 "row": 25088244 },245 {246 "path": "setup.py",247 "sha256": "9af5e979c129534087fe830ca023ca45cacf797a4e4cec8573e7cb464a71419c",248 "language": "Python",249 "lines": 9,250 "truncated": false,251 "block": 6,252 "row": 21747253 },254 {255 "path": "viewer/app.py",256 "sha256": "8ffd71683a75ce0800d0f6640029a3a7d7f9612764f3a1c0006adc0060b08f3e",257 "language": "Python",258 "lines": 52,259 "truncated": false,260 "block": 6,261 "row": 27331262 }263 ]264}