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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    IndexError
Message:      list index out of range
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  original_shard_lengths[original_shard_id] += len(table)
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
              IndexError: list index out of range
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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text
string
15 0.072747 0.833076 0.049729 0.069241
15 0.153366 0.901351 0.051792 0.070399
45 0.096254 0.926126 0.053312 0.084427
48 0.712106 0.663835 0.059175 0.069241
11 0.829859 0.224775 0.049294 0.070914
11 0.815255 0.326126 0.052226 0.078764
11 0.881650 0.456499 0.055592 0.080051
48 0.783605 0.583977 0.056460 0.064736
11 0.969544 0.398005 0.050923 0.071943
11 0.918187 0.169305 0.050706 0.077349
48 0.629262 0.555663 0.058306 0.071171
10 0.677470 0.395238 0.057872 0.065380
10 0.607763 0.475483 0.053312 0.055470
11 0.901086 0.263063 0.055809 0.082625
48 0.770738 0.504247 0.057003 0.063835
48 0.711346 0.475997 0.032899 0.067053
11 0.978882 0.288095 0.042237 0.043887
32 0.712975 0.200193 0.040282 0.080952
1 0.406352 0.125804 0.045494 0.083012
42 0.850923 0.087259 0.032356 0.080566
48 0.959772 0.738481 0.029859 0.076190
32 0.684799 0.051737 0.035831 0.080566
32 0.817101 0.176898 0.034202 0.071686
48 0.023398 0.663835 0.046797 0.069241
11 0.134962 0.224775 0.049294 0.070914
0 0.548969 0.230373 0.045603 0.080566
20 0.576384 0.124710 0.035288 0.076448
11 0.120358 0.326126 0.052226 0.078764
11 0.186754 0.456499 0.055592 0.080051
48 0.088708 0.583977 0.056460 0.064736
11 0.274647 0.398005 0.050923 0.071943
11 0.223290 0.169305 0.050706 0.077349
40 0.785668 0.023810 0.034311 0.047619
11 0.206189 0.263063 0.055809 0.082625
48 0.075841 0.504247 0.057003 0.063835
48 0.955809 0.892535 0.026276 0.067954
40 0.701412 0.056628 0.013246 0.068211
48 0.016450 0.475997 0.032899 0.067053
11 0.283985 0.288095 0.042237 0.043887
32 0.019110 0.200193 0.038219 0.080952
15 0.767644 0.138095 0.049729 0.069241
42 0.156026 0.087259 0.032356 0.080566
45 0.715201 0.371236 0.051466 0.076834
48 0.264875 0.738481 0.029859 0.076190
45 0.630022 0.308559 0.051140 0.077091
15 0.848263 0.206371 0.051792 0.070399
32 0.122204 0.176898 0.034202 0.071686
45 0.698969 0.176898 0.047666 0.078121
48 0.370033 0.739575 0.031488 0.078121
18 0.461238 0.205084 0.036265 0.079408
19 0.396471 0.032368 0.035939 0.064736
18 0.362758 0.172651 0.036916 0.080952
37 0.843268 0.512999 0.051140 0.060232
45 0.791151 0.231145 0.053312 0.084427
18 0.495657 0.056049 0.037134 0.078636
40 0.090771 0.023810 0.034311 0.047619
37 0.932465 0.409395 0.050814 0.059974
48 0.260912 0.892535 0.026276 0.067954
13 0.974864 0.590476 0.050271 0.053539
40 0.006569 0.056628 0.013138 0.068211
15 0.072747 0.138095 0.049729 0.069241
45 0.023018 0.371236 0.046037 0.076834
15 0.153366 0.206371 0.051792 0.070399
13 0.323996 0.410940 0.051031 0.055341
37 0.148371 0.512999 0.051140 0.060232
13 0.380293 0.504440 0.056135 0.055470
45 0.096254 0.231145 0.053312 0.084427
37 0.237568 0.409395 0.050814 0.059974
13 0.282790 0.590476 0.055917 0.053539
48 0.959772 0.051290 0.029859 0.089833
48 0.955809 0.232929 0.026276 0.080121
48 0.264875 0.051290 0.029859 0.089833
48 0.370033 0.052580 0.031488 0.092109
48 0.260912 0.232929 0.026276 0.080121
11 0.829859 0.919755 0.049294 0.070914
11 0.918187 0.864286 0.050706 0.077349
11 0.901086 0.958044 0.055809 0.082625
11 0.978882 0.980566 0.042237 0.038867
32 0.712975 0.895174 0.040282 0.080952
1 0.406352 0.820785 0.045494 0.083012
42 0.850923 0.782239 0.032356 0.080566
32 0.684799 0.746718 0.035831 0.080566
42 0.827253 0.633912 0.033225 0.079151
32 0.817101 0.871879 0.034202 0.071686
11 0.134962 0.919755 0.049294 0.070914
0 0.548969 0.925354 0.045603 0.080566
20 0.576384 0.819691 0.035288 0.076448
20 0.543702 0.670013 0.043105 0.075933
11 0.223290 0.864286 0.050706 0.077349
40 0.785668 0.711004 0.034311 0.063192
20 0.440879 0.700257 0.036591 0.074389
11 0.206189 0.958044 0.055809 0.082625
40 0.701412 0.751609 0.013246 0.068211
11 0.283985 0.980566 0.042237 0.038867
32 0.019110 0.895174 0.038219 0.080952
15 0.767644 0.833076 0.049729 0.069241
15 0.529316 0.673295 0.033442 0.079151
42 0.156026 0.782239 0.032356 0.080566
15 0.430293 0.646396 0.033008 0.074003
15 0.848263 0.901351 0.051792 0.070399
End of preview.

LGD Cards — Day-2 PoC Video (YOLO card-pip dataset)

Auto-labeled playing-card corner-pip detection tiles from the second day of our proof-of-concept table recordings (Czech Croupier Academy 4K footage), for Live Game Defender (LGD). This is the day-2 training set behind the current served detector lgd-cards-gen3 (holdout recall 0.85).

  • Format: YOLO — images/{train,val} + labels/{train,val}, data.yaml (52 classes, rank+suit).
  • ~21,084 tiles, serve-matching tiling.
  • Provenance: boxes.jsonl / manifest.json (per-box origin) + human_corrections.jsonl — this set went through a human-QA pass (14 verified label fixes, incl. a few holdout GT corrections). Labels proposed by a detector, verified/named by an LLM (labeling cost ≈ $8.13). Internal QA review galleries are intentionally not included.

Classes (52)

Standard rank+suit codes (10H, KS, JC, …) — see data.yaml. The detector boxes pips (~2 per card), not whole cards.

⚠️ Honesty note

Our own PoC / academy recordings, not live casino footage; labels are LLM-verified with a partial human pass, not casino-grade ground truth (rule of the project: no real-world casino accuracy claims). Combined with the Public-Domain Roboflow ow27d v4 base (not redistributed here).

Family

Datasets: day-1 · day-2 (this) · day-3 · holdout. Models: lgd-cards-gen3 (trained on this) · lgd-chips-gen2.

License CC-BY-NC-4.0 (non-commercial, attribution). © 2026 TechTools s.r.o.

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