MMTA-v1.0 / processing /provenance.json
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Add six source-processing recipes and document local reconstruction
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{
"path_base": "release_root",
"revision_date": "2026-10-13",
"scope": "Source acquisition and local reconstruction code for six recipe-only domains; no upstream data or generated records included.",
"adapted_scripts": [
{
"script": "processing/common/convert_images.py",
"source_label": "common/convert_image_jsonl.py",
"source_sha256": "dbaf7a30f6df8c3c61ee2e7225ca4ea15ed407893ffc86877cbabfb2f024e169",
"packaged_sha256": "1b9b78e9cbe0dcd700c3f1245ad34ce55bd079a63b7293df1289e1281a56a9bf",
"changes": "Portable media roots and prefix remapping; signal shape excludes timestamp columns; blank forecast history values keep their column positions; array fallback includes history only, never future targets. English CLI/docs and source parsing preserved otherwise. Vector reference answers are formatted as comma-separated numerical channels."
},
{
"script": "processing/common/convert_videos.py",
"source_label": "common/convert_covla.py",
"source_sha256": "a2b82a280ac0ac41be293ad1106b6aee851eea74b4626c0f4f3343bd2e25e4fd",
"packaged_sha256": "65a5496d1f8b2bbb859a4db93582bd40e4cbb66322b9e281bd8544cfdc37a54b",
"changes": "English documentation and CLI text; portable defaults; standalone media probes and explicit source-path remapping where needed. Timestamp-free template and prose lines are now excluded from sensor observations; ISO-dated and numeric observations remain supported."
},
{
"script": "sample/video-timeseries/covla/extract_brake_reasons.py",
"source_label": "covla/extract_brake_reasons.py",
"source_sha256": "de74e6b57aa99b205c9499062ab0933649af35e86fa26fceadd58fc4c85e0919",
"packaged_sha256": "9a0d6169d95b20560ffcb4346b4de37b3ab52117de6dad979c0ded8ed1fb1203",
"changes": "English documentation and CLI text; portable defaults; standalone media probes and explicit source-path remapping where needed."
},
{
"script": "sample/video-timeseries/covla/enrich_segments.py",
"source_label": "covla/build_brake_reason_dataset.py",
"source_sha256": "56b408dca809580d91852e55246971343ec9dd8f02a004c76c404b438f7a658f",
"packaged_sha256": "2183e11568d3cea03c058108e36f1c887bde663a1439bee8e83a6b6617b65428",
"changes": "English documentation and CLI text; portable defaults; standalone media probes and explicit source-path remapping where needed."
},
{
"script": "sample/video-timeseries/covla/build_prompts.py",
"source_label": "covla/build_prompt_dataset.py",
"source_sha256": "c1d7d9260a21e14b9a383b8eb4c32b71f1ca2ae6087f696809b52216859cfb8b",
"packaged_sha256": "d3f061e344a92dc4f9ea238eff1db46e83a6be730227bbb47a22cb691fe4be25",
"changes": "English documentation and CLI text; portable defaults; standalone media probes and explicit source-path remapping where needed."
},
{
"script": "sample/video-timeseries/covla/split_dataset.py",
"source_label": "covla/split_brake_dataset.py",
"source_sha256": "b12976b11ff095dc44d573ceb8cc99a9350a01172b33f13088559ec5b722f9f7",
"packaged_sha256": "a81a76c1d8b6e53b7df7113155004513e3398451b3a08604d44d974f02f04349",
"changes": "English documentation and CLI text; portable defaults; standalone media probes and explicit source-path remapping where needed."
},
{
"script": "sample/image-timeseries/sp500/prepare.py",
"source_label": "sp500/build_jsonl_forcast_withoutpng.py",
"source_sha256": "b9901e8ecc46e8bf74826d609dc051003adceebdfe8505c4fd255a64f04510ba",
"packaged_sha256": "12a63395c73d6d300bfaa91acc2b908acd76d930889793490e98b2049305ba6f",
"changes": "English CLI/docs and portable roots. The first-half-2024 price history and target horizon remain. News selection was corrected: mandatory forecast-day cutoff in a documented timezone, valid source ISO Date required, strict pre-cutoff filtering, chronological latest-three selection and per-record selection metadata."
},
{
"script": "sample/video-timeseries/cuhk_x_har/prepare.py",
"source_label": "cuhk_x_har/build_cuhkx_action_prompt_jsonl.py",
"source_sha256": "2c96996a7ba25588c1b7a01a1322cca7a4dc3e2b814921b3130447dfe3a0bb96",
"packaged_sha256": "ad086660e0dbad56b94a359cb5436007c7e73ecc87eef96d993ebfd5f7baf628",
"changes": "English documentation and CLI text; portable defaults; standalone media probes and explicit source-path remapping where needed.",
"source_location": "original_dataset_directory"
},
{
"script": "sample/image-timeseries/pixelrec/prepare.py",
"source_label": "PixelRec/build_day.py",
"source_sha256": "d5712923fa7323ff16e2f0bcf5a3a7d803ec424f5011fd89b7a71df6f9096883",
"changes": "Refactored daily longest-consecutive-segment forecasting as a CLI; English documentation, explicit input paths, deterministic item traversal and required image checks. Original translated metadata and exact split membership are not asserted to be reproduced.",
"packaged_sha256": "913bb0bfaedffe0ee13d56cd762aa6b5556149abc95670d92e2110fa65cb6df9"
},
{
"script": "sample/image-timeseries/mimic_death/build_json_QA_death.py",
"source_label": "mimic/python/build_json_QA_death.py",
"source_sha256": "ad0e50d4cbd0bfcb93ff1582828b5b11e38313e96063d7915079ff25f11264d7",
"source_location": "original_dataset_directory",
"changes": "Portable CLI paths, compressed inputs, English code and JSON-safe values; original patient and encounter joins, temporal windows and labels retained. Image fields are consistent and record IDs are unique. Mortality stays are not duplicated to fill quotas.",
"packaged_sha256": "6290dd36fab73fa91644135e7f46bff9f3a5e3b94e9fda3b275125abdadd23f8"
},
{
"script": "sample/image-timeseries/mimic_death/json_prompt_death.py",
"source_label": "mimic/python/json_prompt_death.py",
"source_sha256": "8e4acc9c8ba64faf0c225777dc9433c80a1afd11f504d962576ea87e1695737e",
"source_location": "original_dataset_directory",
"changes": "Portable CLI paths, compressed inputs, English code and JSON-safe values; original patient and encounter joins, temporal windows and labels retained. Image fields are consistent and record IDs are unique. Mortality stays are not duplicated to fill quotas.",
"packaged_sha256": "71cd42b2b8c01f5d79c1fd7ec35fcb07eb44080d978ffa18a3ee3de6d3df20fa"
},
{
"script": "sample/image-timeseries/mimic_disch/build_json_QA.py",
"source_label": "mimic/python/build_json_QA.py",
"source_sha256": "6adc0f28ce7554509dfef980db5b56390405dc2228a0d36580194c94219a36d6",
"source_location": "original_dataset_directory",
"changes": "Portable CLI paths, compressed inputs, English code and JSON-safe values; original patient and encounter joins, temporal windows and labels retained. Image fields are consistent and record IDs are unique. Mortality stays are not duplicated to fill quotas.",
"packaged_sha256": "84c2fd9807a0eef8ff30e5893d558869c2acf4fcd08ea0d4898f5a63fdbad0cf"
},
{
"script": "sample/image-timeseries/mimic_disch/json_prompt.py",
"source_label": "mimic/python/json_prompt.py",
"source_sha256": "f027f60a90b2235b2d1645f831510301e03feb43051552ce835a7970b3061f35",
"source_location": "original_dataset_directory",
"changes": "Portable CLI paths, compressed inputs, English code and JSON-safe values; original patient and encounter joins, temporal windows and labels retained. Image fields are consistent and record IDs are unique. Mortality stays are not duplicated to fill quotas.",
"packaged_sha256": "6fe8b8c53cb8fb998b9c1aad9f0a8348a59ba72b742a2efe28d0574f1a3b4c88"
},
{
"script": "sample/image-timeseries/mimic_death/split_dataset.py",
"source_label": "mimic/python/split_jsonl_train_test_stratified.py",
"source_sha256": "4870fe3ec136d0236ef84c9cca2e91d25e32fa521715fd2e09ff3bcdf49dca37",
"source_location": "original_dataset_directory",
"changes": "Portable CLI paths, compressed inputs, English code and JSON-safe values; original patient and encounter joins, temporal windows and labels retained. Image fields are consistent and record IDs are unique. Mortality stays are not duplicated to fill quotas.",
"packaged_sha256": "f7f7586d6b8dbca9ef795f17964346eac46c90504890d8f2a39db37be2546f8c"
},
{
"script": "sample/video-timeseries/cuhk_x_har/imu_skeleton_to_jsonl.py",
"source_label": "cuhk-x/imu_skeleton_to_jsonl.py",
"source_sha256": "6ef1638d2c33497a04a9af2e2755ea74d949ec69f1f13dc12b908ec40bd7da6b",
"source_location": "original_dataset_directory",
"changes": "Portable CLI paths and English code; original trial matching, stream selection, per-second sampling and 20 fps rendering retained. Generated tables and videos are written to a separate output tree. Original column names are supported through Unicode aliases.",
"packaged_sha256": "901019d61c74640dd96263e5fb781d2f5f43cd3eb2121f1beb4ebae0c0e9394a"
},
{
"script": "sample/video-timeseries/cuhk_x_har/images_to_video.py",
"source_label": "cuhk-x/images_to_video_20fps.py",
"source_sha256": "c0cf7f251ea3b2b9227b9443b0aaf88970ce33cc548ad9a589792b49821ee095",
"source_location": "original_dataset_directory",
"changes": "Portable CLI paths and English code; original trial matching, stream selection, per-second sampling and 20 fps rendering retained. Generated tables and videos are written to a separate output tree. Original column names are supported through Unicode aliases.",
"packaged_sha256": "1c83937ceebeebaa83795c96359612f907d2a26a70e3841ba5ff4ec115293bd0"
},
{
"script": "sample/image-timeseries/mimic_death/bucket_chartevents.py",
"source_label": "mimic/python/csv_split.py",
"source_sha256": "fd782af054c35389fd407ada022d479562ed5d90b64abfb92a1d608800fe233f",
"source_location": "original_dataset_directory",
"changes": "Explicit chartevents input replaces the original labevents default; stream subject/admission grouping to a new output tree and retain the five columns used by the task builders.",
"packaged_sha256": "54de1a5ab6255166a87ca376adf1dd1c9f06ed275a22d73ed5ba44802de9f3d1"
},
{
"script": "sample/video-timeseries/cuhk_x_har/xlsx_to_csv.py",
"source_label": "cuhk-x/xlsx_to_csv.py",
"source_sha256": "82eef22f3a0962ec353d81bd24f924fd8ce631f7597bd1440eed9771171f1bcb",
"source_location": "original_dataset_directory",
"changes": "Portable CLI paths and English code; original trial matching, stream selection, per-second sampling and 20 fps rendering retained. Generated tables and videos are written to a separate output tree. Original column names are supported through Unicode aliases.",
"packaged_sha256": "06b68b5b53c91cd17d6d1bc49590b73e7addff2dc9499c48732ae36e31c1d54a"
}
],
"new_scripts": [
"processing/common/local_generation.py",
"processing/common/probe.py",
"processing/common/test_convert_videos.py",
"processing/download.py",
"sample/image-timeseries/mimic_death/download.py",
"sample/image-timeseries/mimic_death/generate.py",
"sample/image-timeseries/mimic_death/source_tables.py",
"sample/image-timeseries/mimic_disch/download.py",
"sample/image-timeseries/mimic_disch/generate.py",
"sample/image-timeseries/pixelrec/download.py",
"sample/image-timeseries/pixelrec/generate.py",
"sample/image-timeseries/sp500/download.py",
"sample/image-timeseries/sp500/generate.py",
"sample/image-timeseries/sp500/test_news_cutoff.py",
"sample/video-timeseries/covla/download.py",
"sample/video-timeseries/covla/generate.py",
"sample/video-timeseries/cuhk_x_har/download.py",
"sample/video-timeseries/cuhk_x_har/generate.py"
],
"new_script_hashes": {
"processing/common/local_generation.py": "af00dadb5c8e4426eebae3f48d4420f4107ff9df30041fffb5348751d19352de",
"processing/common/probe.py": "55aae997c410d00574796cc289873cba655dec1b603447c7555341892c98bfff",
"processing/common/test_convert_videos.py": "f76ecfdde59cd94fca6e541df3a4ef58479dcf9e8f9007c91f641f0f81dfe4ac",
"processing/download.py": "043037ca6338af10da9bc764c5310497e48337696a95221b023c17aba20c8786",
"sample/image-timeseries/mimic_death/download.py": "74a57466a27215b53929c6b77f3ce2aa8a53685e20cdd635b4990373be7c4ad3",
"sample/image-timeseries/mimic_death/generate.py": "feeb788569344338789e3c59247943317a4b77331ea566115bc8a893518e6f8f",
"sample/image-timeseries/mimic_death/source_tables.py": "d4528e9a9eec1e1e9e2c69f736492d4b2fa91f5856da96940c6a0d40255dae81",
"sample/image-timeseries/mimic_disch/download.py": "74a57466a27215b53929c6b77f3ce2aa8a53685e20cdd635b4990373be7c4ad3",
"sample/image-timeseries/mimic_disch/generate.py": "484c4b62831722adcc325d03f6f143af27f2c7d5344ec038be67b55ac1c28ac6",
"sample/image-timeseries/pixelrec/download.py": "1ae7b74455119f3ba7c9ba791136c3b81608949f7d80fdb33f110ee0fa9e81ea",
"sample/image-timeseries/pixelrec/generate.py": "93eb4357d97652199487d5ccc9e607b3ecaf321d1d182139717f36e299466a70",
"sample/image-timeseries/sp500/download.py": "262e885f1d468e661aadae2b02f2ad65b0f441459c2f5ea610487e1972612000",
"sample/image-timeseries/sp500/generate.py": "de3c90d97492d158a24fb19d06c17840b1ed271af893b3eaaeb28ce4b7b92b6c",
"sample/image-timeseries/sp500/test_news_cutoff.py": "609489ed7ac2c27cfdc963e12c226ee202b11cf955c053c5cec37ddf892cb0f7",
"sample/video-timeseries/covla/download.py": "2fc4a588c292adabf5a5581a9f319005473b830a9991899b4950f2bd5ba14bb2",
"sample/video-timeseries/covla/generate.py": "b135bac2c71c3389a3859356a03eff2734095fcd753cc8f0633fd222ee913407",
"sample/video-timeseries/cuhk_x_har/download.py": "84c5093a46b38518b33fd1d880a957809ac00b547a956b9181fa5213c0277de7",
"sample/video-timeseries/cuhk_x_har/generate.py": "16f8f14216371bc3b3522af7e9edc67063354e706fee6a10980ca40949eebca9"
},
"local_generation_note": "Excluded-domain recipes are in sample/<modality>/<domain>/. MIMIC patient joins, labels, prompts and splitting and CUHK-X raw IMU/skeleton alignment use original source scripts. SP500 requires source-dated news strictly before the forecast-day cutoff."
}