Datasetpublic

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.

sourceHugging Faceotherupdated 2d agoView on Hugging Face

0likes5.6kdownloads

rootmanifests8bgithub.com__superrrpotato__relationship-learning.json

github.com__superrrpotato__relationship-learning.json147 linesDownload Raw Back to 8b

1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/superrrpotato/relationship-learning",4 "url": "https://github.com/superrrpotato/Relationship-learning",5 "host": "github.com",6 "commit": "6eef732c9ea219209c78ed3f4dadd176afe7cda3",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "Figure 2E(newly added during revision) and Figure S4.ipynb",13   "sha256": "8bf92b2b610a5c4d87ee7f792f53ba7988abc6ca38581f6c4ede734ef64502d2",14   "language": "Jupyter",15   "lines": 435,16   "truncated": false,17   "block": 2,18   "row": 109019  },20  {21   "path": "Figure S1.ipynb",22   "sha256": "8ee1f412b6f7a47179298372297e1801862cb6c3054eb78f49c2efaefa8434bd",23   "language": "Jupyter",24   "lines": 348,25   "truncated": false,26   "block": 2,27   "row": 107728  },29  {30   "path": "Figure S10 S11 S12.ipynb",31   "sha256": "790148784af2c819656c4858fca017eca55ddd82292ded8767762b2b0254762b",32   "language": "Jupyter",33   "lines": 329,34   "truncated": false,35   "block": 2,36   "row": 107537  },38  {39   "path": "Figure S5.ipynb",40   "sha256": "2dacc61b78a0d6365d6cc7a775a5bc2ff32e8348435f8e537e5fd77cc71bed60",41   "language": "Jupyter",42   "lines": 450,43   "truncated": false,44   "block": 2,45   "row": 108746  },47  {48   "path": "Figure S6.ipynb",49   "sha256": "ce5f66751a49b283399783f4660360b5e12b4cb1fb4d790ad8fdda3eb30361dd",50   "language": "Jupyter",51   "lines": 470,52   "truncated": false,53   "block": 2,54   "row": 109655  },56  {57   "path": "Figure S7.ipynb",58   "sha256": "dd282a3bac1558fce3e278f2836d22f387d4bed195a7255d10eb8a0e5739f824",59   "language": "Jupyter",60   "lines": 877,61   "truncated": false,62   "block": 2,63   "row": 111064  },65  {66   "path": "Figure S8.ipynb",67   "sha256": "9220ad935c24dc7f28982cbea8808d282d580963763f90a25d8e05e1efc00e65",68   "language": "Jupyter",69   "lines": 1099,70   "truncated": false,71   "block": 2,72   "row": 111473  },74  {75   "path": "Figure2+S2+S3.ipynb",76   "sha256": "e18fb259749cf14f5f13eed2719d7853983c2156818fcc0f9e650110f8491efb",77   "language": "Jupyter",78   "lines": 835,79   "truncated": false,80   "block": 2,81   "row": 110782  },83  {84   "path": "Figure3.ipynb",85   "sha256": "282e1db63eb2a376c3ea1e85ae1f235af2fe38835a85a519e3049ab0f07e3316",86   "language": "Jupyter",87   "lines": 130,88   "truncated": false,89   "block": 2,90   "row": 102291  },92  {93   "path": "Figure4.ipynb",94   "sha256": "53c8d25020d199c41f8205926f5a7748f8df1eb8279779866736ea560e9d0c88",95   "language": "Jupyter",96   "lines": 107,97   "truncated": false,98   "block": 2,99   "row": 1019100  },101  {102   "path": "Figure5.ipynb",103   "sha256": "38178ee09d9ecab213c6122aff2e1b0146bbc89a508e72f19ec9ea6c605135c7",104   "language": "Jupyter",105   "lines": 911,106   "truncated": false,107   "block": 2,108   "row": 1111109  },110  {111   "path": "Figure6.ipynb",112   "sha256": "8d7d8c3bcd78b849f8cde002cefe258483b8f24fcfe3dc22b1e42051e9e71ec2",113   "language": "Jupyter",114   "lines": 169,115   "truncated": false,116   "block": 2,117   "row": 1052118  },119  {120   "path": "LICENSE",121   "sha256": "920598ec128a27344ecabe35a000aec45e0c43e145b327385256715d44328a99",122   "language": "License",123   "lines": 21,124   "truncated": false,125   "block": 2,126   "row": 1126127  },128  {129   "path": "README.md",130   "sha256": "7c4a236a8d4f50e8d9be1821f68fb9c4205d5f096206316c74d80acb2f0cd35e",131   "language": "Text",132   "lines": 101,133   "truncated": false,134   "block": 2,135   "row": 2615136  },137  {138   "path": "rank_item.py",139   "sha256": "4d1431c8cef761a53940e2cef61c5a80205481ed7c18f154bea27091f7807621",140   "language": "Python",141   "lines": 86,142   "truncated": false,143   "block": 2,144   "row": 1840145  }146 ]147}