{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/code/transform-mnist","entry":"transform_mnist","source":"Syntology graph, per-sample; not an archive number","read_at":"2026-09-24T18:15:14+00:00","claim":"Names are grouped by exact entry-name string. Same-named routines are NOT asserted to be equivalent; 'ran' means executed on a synthesized fixture, not correctness. n_samples_ran = sum of by_status over every status except 'unverified' (ran_draft_wrong and ran_fixture are failures of Syntology's instrument, not of the code); n_papers_ran = papers with at least one such sample.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"},"n_papers":7,"n_papers_ran":0,"units":"n_samples, n_samples_ran, n_samples_fingerprinted and by_status count distinct code bodies (code_sha256); n_places and n_places_pointer_only count places, one per (paper, code body) pair, which is also the unit of the samples list","n_samples":1,"n_samples_ran":0,"n_samples_fingerprinted":0,"n_places":7,"n_places_pointer_only":5,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":0,"unverified":1},"syntology":{"atlas_url":null,"mcp":null,"mcp_per_sample":{"tool":"get_code","arguments_in":"samples[].mcp_get_code"},"developers":"https://syntology.ai/developers"},"samples":[{"arxiv_id":"2606.18209","paper":"/paper/arxiv-2606-18209","title":"Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets?","date":null,"month_inferred_from_arxiv_id":"2026-06","title_source":"syntology","repo":"AyushRoy2001/ManifoldGD","path":"data.py","file_url":"https://github.com/AyushRoy2001/ManifoldGD/blob/HEAD/data.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"5b2e2797a6da2cb5","mcp_get_code":{"code_sha256":"5b2e2797a6da2cb5"}},{"arxiv_id":"2506.22637","paper":"/paper/cao-2-rectifying-inconsistencies-in-diffusion","title":"CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation","date":"2025-06-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"hatchetproject/cao2","path":"data.py","file_url":"https://github.com/hatchetproject/cao2/blob/HEAD/data.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"5b2e2797a6da2cb5","mcp_get_code":{"code_sha256":"5b2e2797a6da2cb5"}},{"arxiv_id":"2411.11924","paper":"/paper/dataset-distillers-are-good-label-denoisers","title":"Dataset Distillers Are Good Label Denoisers In the Wild","date":"2024-11-18","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"kciiiman/dd_lnl","path":"DANCE+ours/data.py","file_url":"https://github.com/kciiiman/dd_lnl/blob/HEAD/DANCE%2Bours/data.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"5b2e2797a6da2cb5","mcp_get_code":{"code_sha256":"5b2e2797a6da2cb5"}},{"arxiv_id":"2406.01063","paper":"/paper/dance-dual-view-distribution-alignment-for","title":"DANCE: Dual-View Distribution Alignment for Dataset Condensation","date":"2024-06-03","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Hansong-Zhang/DANCE","path":"data.py","file_url":"https://github.com/Hansong-Zhang/DANCE/blob/HEAD/data.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"5b2e2797a6da2cb5","mcp_get_code":{"code_sha256":"5b2e2797a6da2cb5"}},{"arxiv_id":"2403.06075","paper":"/paper/multisize-dataset-condensation","title":"Multisize Dataset Condensation","date":"2024-03-10","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"he-y/Multisize-Dataset-Condensation","path":"data.py","file_url":"https://github.com/he-y/Multisize-Dataset-Condensation/blob/HEAD/data.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"5b2e2797a6da2cb5","mcp_get_code":{"code_sha256":"5b2e2797a6da2cb5"}},{"arxiv_id":"2310.14019","paper":"/paper/you-only-condense-once-two-rules-for-pruning-1","title":"You Only Condense Once: Two Rules for Pruning Condensed Datasets","date":"2023-10-21","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"he-y/you-only-condense-once","path":"data.py","file_url":"https://github.com/he-y/you-only-condense-once/blob/HEAD/data.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"5b2e2797a6da2cb5","mcp_get_code":{"code_sha256":"5b2e2797a6da2cb5"}},{"arxiv_id":"aaai_28784","paper":null,"title":"arXiv:aaai_28784","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"Hansong-Zhang/M3D","path":"data.py","file_url":"https://github.com/Hansong-Zhang/M3D/blob/HEAD/data.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"5b2e2797a6da2cb5","mcp_get_code":{"code_sha256":"5b2e2797a6da2cb5"}}]}