Exclude underdetermined ArithMark 3.0 time-session questions

Exclude all 15 source time_session rows that omit duration information, then sample 500 of the 985 eligible rows with random.Random(42) and restore source order. Removes all nine previously selected defective questions without synthesizing facts from gold answers. Original row IDs, source text, choice order and source labels preserved. Other six split Parquet files and every raw source unchanged byte-for-byte. All 500 selected answers covered by independent arithmetic checks; 16 pinned tokenizers and offline rebuild verified. Source-inherited distractor bias remains unchanged.

README.md

@@ -68,6 +68,7 @@ This custom protocol is not HellaSwag character normalization, TruthfulQA MC2, o
 ## Provenance
 
 Each split selects 500 questions with `random.Random(42)`; OpenBookQA retains its full test set.
+ArithMark 3.0 excludes `time_session` prompts without duration information before sampling.
 Rows with fewer than four choices are excluded; larger sets keep the answer and three sampled
 incorrect choices.
 Source row/choice order is preserved. Full rules, hashes and indices: `manifest.json`;

build.py

@@ -112,8 +112,14 @@ REFERENCE = (
     "d6de81643928d653435c431bae19945d41d32520/lm_eval/tasks/hellaswag/utils.py"
 )
 CURATION = {
-    "id": "base-evals-fixed4-random500-v2",
+    "id": "base-evals-fixed4-random500-v3",
     "seed": SEED,
+    "quality_filters": {
+        "tiny_arithmark_3_0": (
+            "Before choice processing and sampling, exclude source metadata.template_id "
+            "time_session: these prompts provide no information determining the duration."
+        ),
+    },
     "choices": (
         "Drop rows with fewer than four choices; keep four-choice rows unchanged; "
         "otherwise keep the correct choice and sample three incorrect indices uniformly "
@@ -299,8 +305,16 @@ def curate(split, source_rows, count=None):
         raise ValueError("Sample count must be a positive integer")
     converted = convert(split, source_rows)
     choice_rng = random.Random(SEED)
+    excluded_quality = {
+        index
+        for index, source in enumerate(source_rows)
+        if split == "tiny_arithmark_3_0"
+        and source.get("metadata", {}).get("template_id") == "time_session"
+    }
     eligible = []
     for index, original in enumerate(converted):
+        if index in excluded_quality:
+            continue
         choices, label = original["choices"], original["label"]
         if len(choices) < 4:
             continue
@@ -324,7 +338,7 @@ def curate(split, source_rows, count=None):
     ]
     rows = [row for _, _, row in selected]
     validate_rows(split, rows, expected=count)
-    return rows, {
+    selection = {
         "input_count": len(source_rows),
         "eligible_count": len(eligible),
         "excluded_fewer_than_four": sum(len(row["choices"]) < 4 for row in converted),
@@ -335,6 +349,10 @@ def curate(split, source_rows, count=None):
         "selected_source_row_indices": [index for index, _, _ in selected],
         "selected_choice_indices": [indices for _, indices, _ in selected],
     }
+    if split == "tiny_arithmark_3_0":
+        selection["excluded_quality_count"] = len(excluded_quality)
+        selection["excluded_quality_source_row_indices"] = sorted(excluded_quality)
+    return rows, selection
 
 
 def validate_rows(split, rows, expected=None):
@@ -468,6 +486,7 @@ This custom protocol is not HellaSwag character normalization, TruthfulQA MC2, o
 ## Provenance
 
 Each split selects 500 questions with `random.Random(42)`; OpenBookQA retains its full test set.
+ArithMark 3.0 excludes `time_session` prompts without duration information before sampling.
 Rows with fewer than four choices are excluded; larger sets keep the answer and three sampled
 incorrect choices.
 Source row/choice order is preserved. Full rules, hashes and indices: `manifest.json`;
@@ -509,7 +528,7 @@ def build(output, source_directory=None):
         (stage / "sources").mkdir()
         manifest = {
             "dataset": DATASET,
-            "version": "2.4.0",
+            "version": "2.5.0",
             "evaluation_only": True,
             "schema": {
                 "id": "string",

data/tiny_arithmark_3_0-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bbd5999185cbd5ac840d1e1ef40211c4c262430883a6affc67b7c4c1761e15f3
-size 22092
+oid sha256:88f2b526e11d69be7ac106e9a6fb23ac8d28b0082af0677a72b7f23006cee6b8
+size 22535

manifest.json

@@ -1,9 +1,9 @@
 {
   "artifact_sha256": {
-    "README.md": "8b9094adc1ecec15675e0b1d58f8070341a34b8a6146ad47391ece2dfb77aaba",
-    "build.py": "906db9e17df67db5c4da9b48e4ecdec65ebd4db3ec63450ae9bf791d895c42de",
+    "README.md": "ea3eb2d5106db490e0362dd50d5ee3edf70934da1d2fe009f2f0a61fd6ba32a6",
+    "build.py": "58b861a9a9ff8b05b7e5869391de18ee64e97d137da99cdae4da31ae2f478c89",
     "data/tiny_arithmark_2_0-00000-of-00001.parquet": "b0e5a63f29afda93b17a873ab281d380cc87621844b3a7f44b5905733783d6d3",
-    "data/tiny_arithmark_3_0-00000-of-00001.parquet": "bbd5999185cbd5ac840d1e1ef40211c4c262430883a6affc67b7c4c1761e15f3",
+    "data/tiny_arithmark_3_0-00000-of-00001.parquet": "88f2b526e11d69be7ac106e9a6fb23ac8d28b0082af0677a72b7f23006cee6b8",
     "data/tiny_hellaswag-00000-of-00001.parquet": "cd84daab80a7c8e5fa69b892a21a1d035f19c469cbe268fd7fda464580f98df0",
     "data/tiny_logicmark-00000-of-00001.parquet": "ae557f97f5a9ffa46bca8bdf93f214aca0e53334cb150d888b1cc917145e2199",
     "data/tiny_openbookqa-00000-of-00001.parquet": "d10f01bdab5bb5aab21dc01a2a8b021c9b198346ea0b6235cbf812046ea990b9",
@@ -27,12 +27,15 @@
   },
   "builder": {
     "file": "build.py",
-    "sha256": "906db9e17df67db5c4da9b48e4ecdec65ebd4db3ec63450ae9bf791d895c42de"
+    "sha256": "58b861a9a9ff8b05b7e5869391de18ee64e97d137da99cdae4da31ae2f478c89"
   },
   "curation": {
     "choices": "Drop rows with fewer than four choices; keep four-choice rows unchanged; otherwise keep the correct choice and sample three incorrect indices uniformly without replacement. Retain original relative choice order and remap the label.",
-    "id": "base-evals-fixed4-random500-v2",
+    "id": "base-evals-fixed4-random500-v3",
     "ids": "<split>:<six-digit original source-row index>; gaps are intentional",
+    "quality_filters": {
+      "tiny_arithmark_3_0": "Before choice processing and sampling, exclude source metadata.template_id time_session: these prompts provide no information determining the duration."
+    },
     "rng": "Separate random.Random(42) streams for choice sampling and row sampling, reset for each split; choices are processed in full source row order.",
     "rows": "After choice processing, sample 500 eligible rows uniformly without replacement, without label/topic stratification. Restore source row order after sampling.",
     "seed": 42,
@@ -3633,16 +3636,34 @@
       "count": 500,
       "file": "data/tiny_arithmark_3_0-00000-of-00001.parquet",
       "label_counts": {
-        "0": 133,
-        "1": 131,
-        "2": 121,
-        "3": 115
+        "0": 124,
+        "1": 118,
+        "2": 132,
+        "3": 126
       },
-      "logical_sha256": "ec52e90e5faeedad0c616dde87583a8166f66ff6d75664ef9fe0ac8d72bc7557",
+      "logical_sha256": "5385084cac24f11655153fe8d2f47c396f8103ddb831d2800c5fe3b98aa1bd24",
       "selection": {
         "capped_more_than_four": 0,
-        "eligible_count": 1000,
+        "eligible_count": 985,
         "excluded_fewer_than_four": 0,
+        "excluded_quality_count": 15,
+        "excluded_quality_source_row_indices": [
+          33,
+          80,
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+          362,
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+          520,
+          561,
+          870,
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+          998
+        ],
         "input_choice_count_distribution": {
           "4": 1000
         },
@@ -6666,103 +6687,100 @@
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@@ -6772,171 +6790,168 @@
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       },
-      "sha256": "bbd5999185cbd5ac840d1e1ef40211c4c262430883a6affc67b7c4c1761e15f3",
+      "sha256": "88f2b526e11d69be7ac106e9a6fb23ac8d28b0082af0677a72b7f23006cee6b8",
       "source": {
         "config": null,
         "count": 500,
@@ -24873,5 +24894,5 @@
       "source_copy": "sources/tiny_truthfulqa.parquet"
     }
   },
-  "version": "2.4.0"
+  "version": "2.5.0"
 }