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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    TypeError
Message:      Couldn't cast array of type double to null
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2303, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1852, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2059, in cast_array_to_feature
                  _c(array.field(name) if name in array_fields else null_array, subfeature)
                  ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2143, in cast_array_to_feature
                  return array_cast(
                      array,
                  ...<2 lines>...
                      allow_decimal_to_str=allow_decimal_to_str,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2005, in array_cast
                  raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
              TypeError: Couldn't cast array of type double to null

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Agentic-SLS-ASTM

ASTM mechanical-test specimens (D638 tensile, D790 flex) printed on the Inova Mk1 SLS printer and pulled on an MTS / TestWorks Instron. Each row is a single specimen with full geometry, scalar results, stress–strain + raw DAQ curves, and — for SLS rows — FK references and an embedded snapshot of the upstream print profile from ppak10/Agentic-SLS-Database.

Rows are self-contained for ML use: the full PrintProfile JSON is inlined, so features (material/energy profile) and target (mechanical response) live on the same row.

from datasets import load_dataset
tensile = load_dataset("ppak10/Agentic-SLS-ASTM", "D638", split="train")
flex    = load_dataset("ppak10/Agentic-SLS-ASTM", "D790", split="train")

Figure style. All figures share one house style (ported from the AdditiveLLM2-OA figures): DM Sans typeface, framed axes with inward ticks, a light dashed grid, and dual PNG (dpi 1200) + vector PDF export. The SLS batches are colored by an ordered orange ramp (gold → deep brown, in print chronology, built around #F97415); the FormLabs PA12GF benchtop reference is drawn in a contrasting blue so it reads clearly as the external benchmark.

Batch clusters

Replaces the old overlaid composite (which, at 76–80 curves, was unreadable). Each specimen collapses to a single point at its stress–strain peak — x = strain at peak, y = ultimate strength — and each batch becomes a ±1 SD confidence ellipse (covariance-based) around its specimens' peak points. This carries the headline ultimate-strength number and shows how tightly each batch clusters, with none of the overlaid-curve clutter. (Peak is derived as max(stress) over the saved curve, not read from PeakStress — TestWorks often leaves that scalar null for D638 tensile.) Groups with fewer than 3 specimens draw a connecting segment or a bare marker instead of an ellipse.

D638 (tensile) D790 (three-point flex)
D638 batch clusters D790 batch clusters

Regenerate with uv run scripts/plots/03_batch_clusters.py.

Per-batch detail

To read the actual stress–strain curves for one batch without cross-batch clutter, each batch (plus the FormLabs PA12GF reference) gets its own figure under assets/batches/{standard}_{batch}.png — with each specimen individually colored and keyed by sample_id in the legend. Two examples:

D638 Batch C (tensile) D790 Batch E (flex)
D638 Batch C detail D790 Batch E detail

Regenerate with uv run scripts/plots/04_batch_details.py.

Broken-out controls & specimen types

Materials/geometries that don't belong on the batch comparison get their own axes. PLA/PETG filament controls (D638 only) print at much higher stress/strain than either PA12 material; the FormLabs Nylon 12 White control is a second, distinct reference material; and Batch M's 12 Type IV (narrow-section) tensile specimens have a different gauge geometry than its Type I dogbones.

PLA/PETG controls (D638 only — D790 has no filament controls; PLA in blue, PETG in teal):

D638 PLA/PETG controls

FormLabs Nylon 12 White control:

D638 (tensile) D790 (three-point flex)
D638 Nylon 12 White control D790 Nylon 12 White control

The D638 export is a raw load/extension curve with no gauge length in the file itself — strain/stress are derived using a user-confirmed 25mm extensometer starting length (gauge_length_mm set explicitly in 31_2026_07_23_tensile_nylon12white_fl.py, not read from the xlsx).

Batch M Type IV (narrow-section) tensile specimens, D638 only — each of the 12 specimens is individually labeled (1-6, 8-11, 13-14; specimen numbers 7 and 12 aren't part of this xlsx export, per the lab's own numbering) rather than grouped into one legend entry:

D638 Batch M Type IV

Regenerate with uv run scripts/plots/01_controls.py.

Batch averages (SLS Nylon 12 GF only)

One mean stress-strain curve per SLS batch, ± 1 sample standard deviation across specimens (shaded band), for our own Inova Mk1 SLS Nylon 12 GF prints plus the FormLabs PA12GF reference (in blue) — PLA/PETG and the Nylon 12 White control are excluded (their own figures). Each specimen is first trimmed at its stress peak (loading branch only), then linearly interpolated onto a common strain grid bounded by the shortest specimen's peak strain in that batch, so every point in the mean is backed by the same specimen count and no fracture-branch spike distorts the band. See scripts/plots/02_batch_averages.py for the full averaging method (including why one D790 specimen — a degenerate 3-point curve — is dropped from its batch's average).

D638 (tensile) D790 (three-point flex)
D638 batch averages D790 batch averages

The same mean ± 1 SD banding is also rendered for the FormLabs Nylon 12 White control on its own (excluded from the figure above for the same reason as its raw-curve figure — see Composite stress–strain):

D638 (tensile) D790 (three-point flex)
D638 Nylon 12 White average D790 Nylon 12 White average

Regenerate with uv run scripts/plots/02_batch_averages.py.


Configs

Config Description Files
D638 (default) Tensile specimens (ASTM D638 Type I, plus 12 Type IV specimens in batch M). 87 SLS (batches A–N) + 3 PLA + 3 PETG + 5 FormLabs PA12GF + 5 FormLabs Nylon 12 White = 103 rows. Batches A–J/J_MB have Database FKs; K–N don't yet (print jobs not backfilled). data/D638/*.jsonl (one row per file)
D790 Three-point flex specimens (ASTM D790 Procedure A). 71 SLS rows (batches C–N) + 5 FormLabs PA12GF + 5 FormLabs Nylon 12 White = 81 rows. Batches C–J/J_MB have Database FKs; K–N don't yet. data/D790/*.jsonl (one row per file)

One JSONL file per specimen — SLS rows are named after their sample_id (e.g. data/D638/A1.jsonl, data/D790/E10.jsonl); non-SLS controls use {material}_TSR{n}.jsonl (e.g. data/D638/PLA_TSR6.jsonl, data/D790/PA12GF_FL_TSR1.jsonl). Both configs share the same row schema and are produced by the per-session scripts under scripts/specimens/.

Specimens are labeled with a sample_id of the form {batch_label}{seq} (e.g. A1, C7), where the batch label identifies the print batch they came from. Batch labels are usually a single letter, but J / J_MB are the same 2026-07-06 print batch split by post-processing: J specimens were tested as-printed, J_MB specimens were media blasted before testing. The same sample_id may appear in both configs — C1 in D638 and C1 in D790 are different physical specimens that came from the same Batch C print.

Source Layout

source/
  2026_05_26/          # one folder per test session
    *.tsproj           # TestWorks project pointer
    *.xlsx             # TestWorks Excel export, one sheet per specimen
    TST1.Test/
      TestRuns/
        TSR{n}.TestRun/
          Data/DaqTaskActivity1.h5            # raw DAQ scans (10 Hz)
          AnalysisRuns/ANR1.AnalysisRun/
            persistent.h5                     # analyzed scalars + curves

Test sessions covered:

Session folder Specimens Standard Batch Source print job (Database)
2026_05_26/ 5 D638 A 2026-05-25 (d638_type1)
2026_06_01/ 5 D638 B 2026-05-30 (d638_type1_engraved)
2026_06_03/ 7 D638 C 2026-06-02 (d638_type1_engraved)
2026_06_08/ 5 D638 D 2026-06-07 (d638_type1_engraved)
2026_06_10/Tensile Testing/ 5 SLS + 3 PLA + 3 PETG D638 E (SLS only) SLS: 2026-06-07 (d638_type1_engraved)
2026_06_10/Batch C 3pt test/ 9 D790 C 2026-06-02 (d790_flex_specimen)
2026_06_10/Batch D 3pt test/ 8 D790 D 2026-06-07 (d790_flex_specimen)
2026_06_10/Batch E 3pt test/ 10 D790 E 2026-06-07 (d790_flex_specimen, same print as Batch D)
2026_06_16/Tensile FormLabs Samples/ 5 (PA12GF_FL) D638 — (control, printed vertically) n/a — benchtop comparison filament
2026_06_16/Bending FormLabs Samples/ 5 (PA12GF_FL) D790 — (control) n/a — benchtop comparison filament
2026_06_25/Tensile Data/ 5 D638 F 2026-06-13 (d638_type1_engraved, Recycled Powder)
2026_06_25/Flexural Data/ 9 D790 F 2026-06-13 (d790_flex_specimen_shorter, Recycled Powder)
2026_06_26/Tensile/ 5 D638 G 2026-06-09 (d638_type1_engraved, Cards)
2026_06_26/Flexural/ 4 D790 G 2026-06-09 (d790_flex_specimen_shorter, Cards)
2026_06_30/Tensile/ (TST1.Test) 3 D638 H 2026-06-24 (Recycled Powder, 2a3ba702 24mJ/mm)
2026_06_30/Tensile/ (TST2.Test) 5 D638 I 2026-06-25 (Recycled Powder, 60999faa 28mJ/mm)
2026_06_30/Flex 6-30/ (TST1.Test) 5 D790 I 2026-06-25 (Recycled Powder, 60999faa 28mJ/mm)
2026_06_30/Flex 6-30/ (xlsx only, no TestRuns folder) 5 D790 H 2026-06-24 (Recycled Powder, 2a3ba702 24mJ/mm)
2026_07_06/Tensile/ 4 D638 J (not media blasted) 2026-06-27 (D790 and D638 and other objects, 2be9f3cd 32mJ/mm higher temp)
2026_07_06/Flex/ 2 D790 J (not media blasted) 2026-06-27 (same as J tensile)
2026_07_08/Tensile/ 5 D638 J_MB (media blasted) same 2026-06-27 print as J
2026_07_08/Flex/ 2 D790 J_MB (media blasted) same 2026-06-27 print as J
2026_07_15/Tensile/ 5 D638 K not yet in Database
2026_07_15/Tensile/ 6 D638 L not yet in Database
2026_07_15/Flexural/ 3 D790 K not yet in Database
2026_07_15/Flexural/ 4 D790 L not yet in Database
2026_07_21/tensile/ (tensile_m.xlsx, Type I) 5 D638 M not yet in Database
2026_07_21/tensile/ (tensile_m_t4.xlsx, Type IV) 12 D638 M not yet in Database
2026_07_21/flex/ 5 D790 M not yet in Database
2026_07_23/tensile/ 5 D638 N not yet in Database
2026_07_23/flex/ 5 D790 N not yet in Database
2026_07_23/tensile/ (tensile_nylon12white_fl.xlsx) 5 (NYLON12_WHITE_FL) D638 — (control) n/a — benchtop comparison material
2026_07_23/flex/ (flex_nylon12white_fl.xlsx) 5 (NYLON12_WHITE_FL) D790 — (control) n/a — benchtop comparison material

TSR11 in Batch E 3pt test/ exists on disk but has empty Data/ (aborted run, no DAQ scans) and no corresponding xlsx sheet — it is excluded from the JSONL. TSR4 in Batch I flex (Flex 6-30/) is excluded for a similar reason: test_end_reason is "Test Stopped" rather than a detected break.

Batches K, L, M, and N (2026-07-15 through 2026-07-23) have no raw TestRuns//h5 folders at all — only TestWorks xlsx exports were handed off, so all of these rows are xlsx_only (see scripts/specimens/_lib.py's build_row_from_xlsx). Batch M's 12 Type IV specimens are a narrow-section ASTM D638 geometry (6mm × 4.15mm vs Type I's 12.8mm × 3.1mm) from the same print as its 5 Type I specimens — same batch_label, distinguished by astm.type. The FormLabs Nylon 12 White tensile control's xlsx export is a raw load/extension curve with no gauge length in the file — strain/stress_pa are derived using a user-confirmed 25mm extensometer gauge length declared in the script itself (see Composite stress–strain above); its flex counterpart derives normally via the D790 chord formulas.

Batch H's 5 flex specimens (2026_06_30/Flex 6-30/) don't have a raw TestRuns folder — it looks like it was overwritten when the Batch I TestWorks project reused the same default TST1.Test name in the same directory. flex_h_6.30.xlsx is the only surviving record, so those 5 rows are built from that xlsx export alone: the raw load/extension curve (curves.load_n/curves.extension_m) comes from its embedded columns, but curves.strain/curves.stress_pa are empty and several metrics fields (modulus_pa, strain_at_peak, strain_at_yield, etc.) are null, since deriving them requires the support span, which this export doesn't surface. See each row's notes field.

Row shape

{
  "sample_id": "A1",
  "batch_label": "A",
  "specimen_id": "2026_05_26/TSR1",
  "test_date": "2026-05-26",
  "session_folder": "2026_05_26",
  "test_run_name": "TSR1",
  "specimen_index": 1,

  "material_class": "SLS",
  "astm": { "standard": "D638", "type": "Type I", "year": "2022" },
  "test_end_reason": "Break Detected",

  "geometry": {
    "width_mm": 12.9, "thickness_mm": 3.2,
    "area_mm2": 41.28, "gauge_length_mm": 103.0
  },

  "job_id":           "ba17a5ba-a5f6-4d60-8832-b6c13a2dfa67",
  "print_date":       "2026-05-25",
  "print_profile_id": "52715389-d580-4be9-9194-ed300bdf911b",
  "object_hash":      "E4251951376A82B4303394F832996A2E9883EAB0",
  "session_id":       null,

  "print_profile_snapshot": { "...full PrintProfile JSON..." },

  "metrics": {
    "modulus_pa": 341090566.27,
    "peak_load_n": null, "peak_stress_pa": null, "strain_at_peak": null,
    "load_at_break_n": null, "stress_at_break_pa": null, "strain_at_break": null,
    "energy_to_break_j": null,
    "yield_stress_pa": null, "strain_at_yield": null
  },

  "curves": {
    "time_s":      [/* N */],
    "extension_m": [/* N */],
    "load_n":      [/* N */],
    "strain":      [/* N */],
    "stress_pa":   [/* N */]
  },

  "notes": "",

  "source_paths": {
    "persistent_h5": "source/2026_05_26/TST1.Test/TestRuns/TSR1.TestRun/AnalysisRuns/ANR1.AnalysisRun/persistent.h5",
    "daq_h5":        "source/2026_05_26/TST1.Test/TestRuns/TSR1.TestRun/Data/DaqTaskActivity1.h5",
    "xlsx":          "source/2026_05_26/tensile_testing_5.26.xlsx",
    "xlsx_sheet":    "Sheet1"
  }
}

Notes on results

  • sample_id and batch_label are null for non-SLS control rows (PLA, PETG, FormLabs PA12GF — they didn't come from an SLS print batch). Filter on material_class == "SLS" to get the rows that link back to Database.
  • Batches E–I currently have job_id, print_profile_id, object_hash, and print_profile_snapshot all null — their source print jobs aren't in Database yet. The mechanical results are still valid.
  • metrics.peak_* and metrics.*_at_break are often null in the D638 tensile rows because TestWorks did not detect a peak/break point on those runs. D790 flex rows have these fields more consistently populated. The curves.stress_pa / curves.strain arrays are populated regardless, so consumers can re-derive peak/break with their own criteria.
  • Batch H's flex rows (data/D790/H1.jsonlH5.jsonl) are the one exception: their raw TestRuns folder is missing (see Test sessions covered above), so they're built from the TestWorks xlsx export alone. curves.strain/curves.stress_pa are empty and most metrics fields are null for these 5 rows specifically — check notes on a row before assuming a null metric means TestWorks failed to detect it.
  • notes is a free-text field, empty for most rows; it's used to flag exceptions like the Batch H flex sourcing above or the FormLabs vertical-print orientation.
  • metrics.modulus_pa matches the kN/mm² value in the TestWorks xlsx after unit conversion (e.g. tensile 0.341 kN/mm² → 3.41 × 10⁸ Pa). For D790, TestWorks computes the flexural modulus via the 3-point-bend formula directly; values may look unintuitive compared to the tensile modulus.
  • DAQ scans are in SI units (m, N, s); stress is Pa and strain is dimensionless.
  • For D790, geometry.gauge_length_mm is always null (gauge length is a tensile concept; flex uses support span which is not surfaced).
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