Datasets:
public_id stringlengths 10 10 | shard stringclasses 107
values |
|---|---|
TMCP000001 | train-0000.sqlite3 |
TMCP000002 | train-0000.sqlite3 |
TMCP000003 | train-0000.sqlite3 |
TMCP000004 | train-0000.sqlite3 |
TMCP000005 | train-0000.sqlite3 |
TMCP000006 | train-0000.sqlite3 |
TMCP000007 | train-0000.sqlite3 |
TMCP000008 | train-0000.sqlite3 |
TMCP000009 | train-0000.sqlite3 |
TMCP000010 | train-0000.sqlite3 |
TMCP000011 | train-0000.sqlite3 |
TMCP000012 | train-0000.sqlite3 |
TMCP000013 | train-0000.sqlite3 |
TMCP000014 | train-0000.sqlite3 |
TMCP000015 | train-0000.sqlite3 |
TMCP000016 | train-0000.sqlite3 |
TMCP000017 | train-0000.sqlite3 |
TMCP000018 | train-0000.sqlite3 |
TMCP000019 | train-0000.sqlite3 |
TMCP000020 | train-0000.sqlite3 |
TMCP000021 | train-0000.sqlite3 |
TMCP000022 | train-0000.sqlite3 |
TMCP000023 | train-0000.sqlite3 |
TMCP000024 | train-0000.sqlite3 |
TMCP000025 | train-0000.sqlite3 |
TMCP000026 | train-0000.sqlite3 |
TMCP000027 | train-0000.sqlite3 |
TMCP000028 | train-0000.sqlite3 |
TMCP000029 | train-0000.sqlite3 |
TMCP000030 | train-0000.sqlite3 |
TMCP000031 | train-0000.sqlite3 |
TMCP000032 | train-0000.sqlite3 |
TMCP000033 | train-0000.sqlite3 |
TMCP000034 | train-0000.sqlite3 |
TMCP000035 | train-0000.sqlite3 |
TMCP000036 | train-0000.sqlite3 |
TMCP000037 | train-0000.sqlite3 |
TMCP000038 | train-0000.sqlite3 |
TMCP000039 | train-0000.sqlite3 |
TMCP000040 | train-0000.sqlite3 |
TMCP000041 | train-0000.sqlite3 |
TMCP000042 | train-0000.sqlite3 |
TMCP000043 | train-0000.sqlite3 |
TMCP000044 | train-0000.sqlite3 |
TMCP000045 | train-0000.sqlite3 |
TMCP000046 | train-0000.sqlite3 |
TMCP000047 | train-0000.sqlite3 |
TMCP000048 | train-0000.sqlite3 |
TMCP000049 | train-0000.sqlite3 |
TMCP000050 | train-0000.sqlite3 |
TMCP000051 | train-0000.sqlite3 |
TMCP000052 | train-0000.sqlite3 |
TMCP000053 | train-0000.sqlite3 |
TMCP000054 | train-0000.sqlite3 |
TMCP000055 | train-0000.sqlite3 |
TMCP000056 | train-0000.sqlite3 |
TMCP000057 | train-0000.sqlite3 |
TMCP000058 | train-0000.sqlite3 |
TMCP000059 | train-0000.sqlite3 |
TMCP000060 | train-0000.sqlite3 |
TMCP000061 | train-0000.sqlite3 |
TMCP000062 | train-0000.sqlite3 |
TMCP000063 | train-0000.sqlite3 |
TMCP000064 | train-0000.sqlite3 |
TMCP000065 | train-0000.sqlite3 |
TMCP000066 | train-0000.sqlite3 |
TMCP000067 | train-0000.sqlite3 |
TMCP000068 | train-0000.sqlite3 |
TMCP000069 | train-0000.sqlite3 |
TMCP000070 | train-0000.sqlite3 |
TMCP000071 | train-0000.sqlite3 |
TMCP000072 | train-0000.sqlite3 |
TMCP000073 | train-0000.sqlite3 |
TMCP000074 | train-0000.sqlite3 |
TMCP000075 | train-0000.sqlite3 |
TMCP000076 | train-0000.sqlite3 |
TMCP000077 | train-0000.sqlite3 |
TMCP000078 | train-0000.sqlite3 |
TMCP000079 | train-0000.sqlite3 |
TMCP000080 | train-0000.sqlite3 |
TMCP000081 | train-0000.sqlite3 |
TMCP000082 | train-0000.sqlite3 |
TMCP000083 | train-0000.sqlite3 |
TMCP000084 | train-0000.sqlite3 |
TMCP000085 | train-0000.sqlite3 |
TMCP000086 | train-0000.sqlite3 |
TMCP000087 | train-0000.sqlite3 |
TMCP000088 | train-0000.sqlite3 |
TMCP000089 | train-0000.sqlite3 |
TMCP000090 | train-0000.sqlite3 |
TMCP000091 | train-0000.sqlite3 |
TMCP000092 | train-0000.sqlite3 |
TMCP000093 | train-0000.sqlite3 |
TMCP000094 | train-0000.sqlite3 |
TMCP000095 | train-0000.sqlite3 |
TMCP000096 | train-0000.sqlite3 |
TMCP000097 | train-0000.sqlite3 |
TMCP000098 | train-0000.sqlite3 |
TMCP000099 | train-0000.sqlite3 |
TMCP000100 | train-0000.sqlite3 |
TMC-Parts
TMC-Parts is a processed multimodal dataset for machining feature recognition in turning-milling combined parts. It accompanies the manuscript TM-MFNet: Structure-Prior-Guided Multimodal Fusion Network for Machining Feature Recognition in Turning-Milling Combined Parts.
Dataset composition
The release contains 34,134 parts with fixed train, validation, and test splits.
| Split | Samples |
|---|---|
| Train | 27,307 |
| Validation | 3,413 |
| Test | 3,414 |
Each sample provides:
- AAG topology with face and edge attributes;
- UV face grids and edge grids;
- 12 rendered views;
- face-level semantic labels for seven machining categories;
- face-level instance identifiers.
Repository structure
tmcparts/
βββ index.json
βββ checksums.sha256
βββ feature_stats.json
βββ splits/
β βββ train.csv
β βββ val.csv
β βββ test.csv
βββ shards/
βββ train-0000.sqlite3
βββ val-0000.sqlite3
βββ ...
The SQLite shards store compressed NumPy arrays and PNG-encoded views. Field
definitions are documented in DATA_FORMAT.md.
Download
hf download Arwenxu/tmcparts --repo-type dataset --local-dir TMC-Parts
The dataset can also be downloaded from the Files and versions tab.
Related links
License
The processed dataset is released under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). Original PRT and STEP models are not redistributed.
Citation
Please cite the TMC-Parts dataset and the accompanying TM-MFNet manuscript. Publication and DOI information will be added after publication.
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