Download manifests/31/github.com__rubences__bucle2d.json from OpenScientificCodeRegistry/Database: direct link, hf CLI and curl.
- Browser
- Download file 4.13 kB
-
https://huggingface.co/datasets/OpenScientificCodeRegistry/Database/resolve/main/manifests/31/github.com__rubences__bucle2d.json
- Command line
-
hf download hf://datasets/OpenScientificCodeRegistry/Database/manifests/31/github.com__rubences__bucle2d.json
-
curl -L -o github.com__rubences__bucle2d.json https://huggingface.co/datasets/OpenScientificCodeRegistry/Database/resolve/main/manifests/31/github.com__rubences__bucle2d.json
4.13 kB
| { | |
| "format": "oscr-script-manifest/1", | |
| "repository": "github.com/rubences/bucle2d", | |
| "url": "https://github.com/rubences/Bucle2D/tree/4.0", | |
| "host": "github.com", | |
| "commit": "eddd478ffa3562e4d59fa26b6d2f371b38a6dc18", | |
| "license": "MIT", | |
| "license_confirmed_by": "license file LICENSE.txt", | |
| "redistribution": "yes", | |
| "files": [ | |
| { | |
| "path": "LICENSE.txt", | |
| "sha256": "2e2f5b5a3cfa3b64d20233b1f8ea160bd1ed44130d137dfd7b121561ffd073d6", | |
| "language": "License", | |
| "lines": 36, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 1950 | |
| }, | |
| { | |
| "path": "README.md", | |
| "sha256": "e44f91d49270c3c65f8952779987423f4b56d53df433d38082af2001c22f7c3b", | |
| "language": "Text", | |
| "lines": 161, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 10514 | |
| }, | |
| { | |
| "path": "paper/compile_paper.sh", | |
| "sha256": "82d3771e559e9c15b4bc64ef1444fdf10e3a91ef2321e8ccc6bbbff870de67f0", | |
| "language": "Shell", | |
| "lines": 87, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 8657 | |
| }, | |
| { | |
| "path": "paper/generate_figures.py", | |
| "sha256": "a80da1af8668be90f534a1616d14217fa06e57429a6adb6e6abc1f424ca585ef", | |
| "language": "Python", | |
| "lines": 426, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 8223 | |
| }, | |
| { | |
| "path": "scripts/adapt_rag_cag_2027_motogp.py", | |
| "sha256": "f7d9ee4b9af876856bf50db14e28e96bd2a0e998d8f127c3fdbb5e1fd04ef156", | |
| "language": "Python", | |
| "lines": 584, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 8648 | |
| }, | |
| { | |
| "path": "scripts/analyze_dataset.py", | |
| "sha256": "ec373a5a94f42aaeb43988ca14f11b623df52c42ea439a3b32daa45d188a1190", | |
| "language": "Python", | |
| "lines": 340, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 6398 | |
| }, | |
| { | |
| "path": "scripts/generate_2027_figures.py", | |
| "sha256": "f23b79f634c65d3a794e78edcd526413ecf868a4ad92c5d664bf6f2c3ecdd028", | |
| "language": "Python", | |
| "lines": 339, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 5919 | |
| }, | |
| { | |
| "path": "scripts/generate_aspar_synth_10k.py", | |
| "sha256": "370c6099dbe2dab40c503680182172d4acbdc5d34294c443753aafaa4c51dbea", | |
| "language": "Python", | |
| "lines": 475, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 8797 | |
| }, | |
| { | |
| "path": "scripts/generate_validation_report.py", | |
| "sha256": "c006df40477d15cc18f9c6d9c201b93ca150a7782c22c68dc586167e3f5a06dc", | |
| "language": "Python", | |
| "lines": 231, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 3920 | |
| }, | |
| { | |
| "path": "scripts/run_example_with_plots.py", | |
| "sha256": "06bccb8a46323a29cb292e3e90d39b74e22820703f30e33912327a00aa519504", | |
| "language": "Python", | |
| "lines": 188, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 44483 | |
| }, | |
| { | |
| "path": "setup.py", | |
| "sha256": "105f23c747b229de664ca0a699b5f36f82d5daf7c249a9fd47ef0b0d04ded127", | |
| "language": "Python", | |
| "lines": 31, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 26741 | |
| }, | |
| { | |
| "path": "src/__init__.py", | |
| "sha256": "94b550824c71c69c882178123f580afe4b84bd3e85957106f5afd6da12677281", | |
| "language": "Python", | |
| "lines": 19, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 23001 | |
| }, | |
| { | |
| "path": "src/agent_orchestrator.py", | |
| "sha256": "1894714b76b17c13a62c8f934f9f4b01985b57a551aa3a79801462f036b36b9c", | |
| "language": "Python", | |
| "lines": 369, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 6241 | |
| }, | |
| { | |
| "path": "src/main_inference.py", | |
| "sha256": "e28df47c35f5e5e4179146c205b61277d4a1fd9c513ad6551f381b0d7fbb2547", | |
| "language": "Python", | |
| "lines": 410, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 7815 | |
| }, | |
| { | |
| "path": "src/memory_systems.py", | |
| "sha256": "c3839d639925af05d73309cd2522b8ee16d42fbf73d8edc1230b2e984e87eee7", | |
| "language": "Python", | |
| "lines": 464, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 7355 | |
| }, | |
| { | |
| "path": "src/vision_encoder.py", | |
| "sha256": "c3d8f201128de8e09b4c5b230aba363456635d669a7a25618c4509f568e53cf1", | |
| "language": "Python", | |
| "lines": 343, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 4444 | |
| }, | |
| { | |
| "path": "validate_structure.py", | |
| "sha256": "daa6327caa7307105119e67fb2f5817261ee15714500699146c27032dd1dc62a", | |
| "language": "Python", | |
| "lines": 236, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 1096 | |
| } | |
| ] | |
| } |