gate string | generated_utc timestamp[s] | converter_commit string | conversion_config_hash string | config dict | all_passed bool | samples list |
|---|---|---|---|---|---|---|
ten_conversion_gate | 2026-08-27T10:25:03 | b611b52c7a87cad99127908598bab019fe9e7c3f | 4056132ca74bdba9 | {
"config_name": "glb2schem-v1",
"converter_commit": "b611b52c7a87cad99127908598bab019fe9e7c3f",
"converter_source": "https://github.com/LucasDower/ObjToSchematic (ots-1.0)",
"converter_note": "ObjToSchematic supplies the fixed block palette (res/palettes/all.ts PALETTE_ALL_RELEASE) and per-block average colour... | true | [
{
"sample_id": "331a6485b6e203e7",
"stratum": "small",
"source_batch": "pairs/batch-00045_schemglb.zip",
"glb_bytes": 355356,
"glb_sha256": "ace9daf94fb9a75c7b298c63e0a65db5de48b670dbec0598efe3f746831b5452",
"target_schem_sha256": "24d113b1d426e982b2b5c5f8e5d0d3a7a003d61f589f48b9b400c316ef9c... |
unfundedResearcher/Minecraft-GLB2Schem-RepairPairs-v1
Paired (generated input, ground-truth target) Minecraft schematics for training a model that turns an approximate voxelisation into a real build.
What a sample is
Each sample is three files inside a WebDataset TAR shard:
| File | Meaning |
|---|---|
<id>.input.schem |
GENERATED. Produced by voxelising the source .glb. Approximate and noisy. |
<id>.target.schem |
GROUND TRUTH. The original schematic, copied byte-for-byte, never modified. |
<id>.json |
Per-sample metadata (hashes, dimensions, block counts, runtime). |
input.schemis machine-generated from the GLB.target.schemis the untouched original. Target files are byte-identical to the source dataset; their SHA-256 is recorded in each sample's JSON and in the manifest.
Source dataset: unfundedResearcher/Minecraft-Fable-SchemGLB-v1
How the input was generated
The .glb files are voxelised at 1 GLB lattice unit = 1 Minecraft block using a
single global configuration for every file. No ground-truth schematic was ever consulted
to choose a sample's scale, dimensions, rotation, origin, palette or occupancy.
- Block palette and per-block average colours come from ObjToSchematic, commit
b611b52c7a87cad99127908598bab019fe9e7c3f(res/palettes/all.ts,res/atlases/vanilla.atlas) - 292 full-cube blocks. - ObjToSchematic's own headless voxeliser is not used: it normalises every model to a
fixed height along a constraint axis, which would destroy world-space proportions. The
voxeliser here is a deterministic surface voxeliser. See
converter/andconversion_config.json. - Colour to block by nearest neighbour in RGB. Dithering disabled. No per-file palette selection.
- Output is Sponge schematic version 2, DataVersion 2975, gzip with
mtime=0, so conversion is bit-for-bit reproducible.
Known characteristics - read before training
- The source GLBs are hollow. Interior faces were culled when those GLBs were
exported, so surface voxelisation can only recover a shell.
interior_fill=truefills fully-enclosed air pockets using only the generated grid. This is the largest systematic difference between input and target: inputs may over- or under-fill interiors relative to ground truth. - Input and target dimensions often differ. The input grid is cropped to actual occupancy, while ground-truth schematics frequently carry padding air. Both are recorded per sample.
- The source GLBs have an inverted texture V coordinate (Minecraft convention with
v=0at the bottom, versus glTF'sv=0at the top). The converter corrects this on load (uv_v_flip=true). Without the correction every UV samples transparent atlas rows and no blocks are produced at all.
Layout
data/pairs-00000.tar ... ~250 pairs per shard
manifest.parquet / manifest.csv one row per published sample
conversion_config.json every converter option
validation_10_report.json the pre-flight 10-sample gate
validation_10_contact_sheet.png visual check of that gate
failures.jsonl every sample that failed, with reason
remote_verification.json remote listing checked against the local manifest
converter/ full converter source
requirements.txt
Reproducing
pip install -r requirements.txt
python converter/pipeline.py --root . --work ./run \
--repo unfundedResearcher/Minecraft-GLB2Schem-RepairPairs-v1 --token $HF_TOKEN --shard-size 250 --workers 2
conversion_config.json hash: 4056132ca74bdba9
Run statistics
{
"source_pairs_discovered": 11508,
"source_incomplete_pairs": 0,
"source_duplicate_ids": 0,
"successful_conversions": 11505,
"failed_conversions": 3,
"shards": 48,
"shard_size": 250,
"median_conversion_seconds": 0.249,
"p95_conversion_seconds": 5.806,
"mean_conversion_seconds": 1.173,
"total_conversion_cpu_seconds": 13491.0,
"converter_commit": "b611b52c7a87cad99127908598bab019fe9e7c3f",
"conversion_config_hash": "4056132ca74bdba9",
"destination": "https://huggingface.co/datasets/unfundedResearcher/Minecraft-GLB2Schem-RepairPairs-v1",
"note": "Metadata regenerated from an independent audit of the published shard contents. Every row corresponds to a sample physically present in the shard named, with input/target SHA-256 verified against the bytes."
}
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