Add lossless Parquet task tables and align license metadata with artifact terms

README.md

@@ -1,6 +1,6 @@
 ---
 pretty_name: SimplexTasks-12-data
-license: cc-by-4.0
+license: other
 task_categories:
 - other
 tags:
@@ -14,6 +14,56 @@ configs:
   data_files:
   - split: train
     path: data/viewer/tasks.jsonl
+- config_name: affectivetext_emotions
+  data_files:
+  - split: train
+    path: data/parquet/affectivetext_emotions.parquet
+- config_name: cifar10_softmax
+  data_files:
+  - split: train
+    path: data/parquet/cifar10_softmax.parquet
+- config_name: pbmc3k_pseudobulk
+  data_files:
+  - split: train
+    path: data/parquet/pbmc3k_pseudobulk.parquet
+- config_name: samson_unmixing
+  data_files:
+  - split: train
+    path: data/parquet/samson_unmixing.parquet
+- config_name: topics_20ng
+  data_files:
+  - split: train
+    path: data/parquet/topics_20ng.parquet
+- config_name: utkface_age_ldl
+  data_files:
+  - split: train
+    path: data/parquet/utkface_age_ldl.parquet
+- config_name: d1_homogeneous
+  data_files:
+  - split: train
+    path: data/parquet/d1_homogeneous.parquet
+- config_name: d2_pure_scale
+  data_files:
+  - split: train
+    path: data/parquet/d2_pure_scale.parquet
+- config_name: d3_discrete_groups_aligned
+  data_files:
+  - split: train
+    path: data/parquet/d3_discrete_groups_aligned.parquet
+- config_name: d4_model_bias
+  data_files:
+  - split: train
+    path: data/parquet/d4_model_bias.parquet
+- config_name: d5_heavy_tail
+  data_files:
+  - split: train
+    path: data/parquet/d5_heavy_tail.parquet
+- config_name: d6_high_k
+  data_files:
+  - split: train
+    path: data/parquet/d6_high_k.parquet
+license_name: task-specific-source-terms
+license_link: https://huggingface.co/datasets/liangyou03/SimplexTasks-12-data/blob/main/LICENSE
 ---
 
 # SimplexTasks-12-data
@@ -92,3 +142,25 @@ The viewer-facing dataset is intentionally limited to `data/viewer/tasks.jsonl`.
 This flat JSONL table summarizes the 12 task cards with a uniform schema. The
 other JSON, JSONL, CSV, and NumPy files in this repository are artifact inputs
 for reproduction and should not be mixed into the Dataset Viewer table.
+
+## Croissant-compatible tables
+
+The `data/parquet/` directory contains one lossless table for each of the 12 tasks.
+`sample_index` is the zero-based row index in the original frozen arrays. Columns
+`U_0`, `U_1`, ... and `Y_0`, `Y_1`, ... preserve the original component order.
+Synthetic tables additionally include `R` and `sigma_true`. Floating-point values
+and their stored precision are unchanged. The viewer split named `train` is a
+transport convention for a frozen sample pool, not a prescribed training split.
+Use the benchmark split policies for conformal evaluation.
+
+See `docs/parquet_verification.json` for source-array hashes, table hashes and
+exact round-trip verification. These are format conversions, not new experiment
+runs. Croissant metadata is provided under `croissant/`.
+
+## License scope
+
+The repository uses the `other` license category to match its existing artifact
+license notice and `CITATION.cff`. The notice and task-specific source terms govern
+reuse; there is no blanket CC-BY-4.0 grant for this collection. Format conversion
+does not change those terms. See `LICENSE`, `ASSET_PROVENANCE_AND_TERMS.md` and the
+individual task cards.

data/parquet/affectivetext_emotions.parquet

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+size 35526

data/parquet/cifar10_softmax.parquet

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+size 590269

data/parquet/d1_homogeneous.parquet

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+size 295831

data/parquet/d2_pure_scale.parquet

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+oid sha256:de27d8fa6b0841f45fc9336fa717423d36e5f605145bc7001ee78e8076b52c2a
+size 278811

data/parquet/d3_discrete_groups_aligned.parquet

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+size 715419

data/parquet/d4_model_bias.parquet

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+size 278534

data/parquet/d5_heavy_tail.parquet

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+oid sha256:dd7237032d30971d9097851d8b0484935618bb42c5eb84ed38e0f3e50d345a12
+size 278749

data/parquet/d6_high_k.parquet

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+oid sha256:2e4fe45eae47a67c9d3023d8b302dcc0f0b9b8c7e007f3ab07e2db6011e0bbfc
+size 10028544

data/parquet/pbmc3k_pseudobulk.parquet

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+oid sha256:db000c2f89ac6fcc5a599d518f9a2ed1b1aeff08ab09a456b2658dcf5e2f8eee
+size 241810

data/parquet/samson_unmixing.parquet

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+oid sha256:7be9f1cb90802b87866628afe8bab3d7c58e1671695e9497e9e1100dda7fa651
+size 245140

data/parquet/topics_20ng.parquet

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+oid sha256:67832ac04d380db18c42ddde4cd56909d5d8644e975c57885078fcbdbe8cb604
+size 784025

data/parquet/utkface_age_ldl.parquet

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+oid sha256:e6b2f9a64d6a2da09e247093225d15b3ababd0387235c2285ce7af27f63f1a07
+size 925580

docs/parquet_verification.json

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+{
+  "source_revision": "67f10fc96efab616fd327f47958e1cad8286786f",
+  "conversion": "lossless NumPy to Parquet; flattened component columns; original array row order and float dtype retained",
+  "tasks": [
+    {
+      "task": "affectivetext_emotions",
+      "rows": 1000,
+      "columns": [
+        "sample_index",
+        "U_0",
+        "U_1",
+        "U_2",
+        "U_3",
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+        "Y_0",
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+        "Y_2",
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+          "sha256": "1877d43446ecc311c964c3891e24b20f3b89fb85b93ea4b1cb9d9c942e694975",
+          "finite": true,
+          "simplex_checked": true
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