diff --git a/evals_canonical/illumina/illumina_dimred_choose_batch_key.json b/evals_canonical/illumina/illumina_dimred_choose_batch_key.json
index 2e53d93..9ff0efe 100644
--- a/evals_canonical/illumina/illumina_dimred_choose_batch_key.json
+++ b/evals_canonical/illumina/illumina_dimred_choose_batch_key.json
@@ -5,7 +5,7 @@
"grader": {
"type": "multiple_choice",
"config": {
- "correct_answer": "B",
+ "correct_answer": "A",
"options": {
"A": "sample",
"B": "age_group"
diff --git a/evals_canonical/illumina/illumina_qc_report_initial_nuclei.json b/evals_canonical/illumina/illumina_qc_report_initial_nuclei.json
index 37e1ed4..f3f838f 100644
--- a/evals_canonical/illumina/illumina_qc_report_initial_nuclei.json
+++ b/evals_canonical/illumina/illumina_qc_report_initial_nuclei.json
@@ -1,6 +1,6 @@
{
"id": "snrna_qc_01_report_initial_nuclei_after_gene_threshold",
- "task": "Attached is a DRG snRNA-seq dataset with obs column age_group in {Adult, Aged}.\n\nGoal: deterministically compute how many nuclei pass an initial gene-detection threshold.\n\nInstructions:\n1) Use the raw UMI count matrix (integer counts).\n2) For each nucleus compute n_genes = number of genes with count > 0.\n3) Keep nuclei with n_genes > 1000.\n4) Report counts for total, Adult, Aged after this filter.\n\nReturn EXACTLY:\n\n{\"total\": , \"Adult\": , \"Aged\": }\n\n",
+ "task": "Attached is a DRG snRNA-seq dataset with obs column age_group in {Adult, Aged}.\n\nGoal: deterministically compute how many nuclei pass an initial gene-detection threshold.\n\nInstructions:\n1) Use the raw UMI count matrix (integer counts).\n2) For each nucleus compute n_genes = number of genes with count > 0.\n3) Keep nuclei with n_genes >= 1000.\n4) Report counts for total, Adult, Aged after this filter.\n\nReturn EXACTLY:\n\n{\"total\": , \"Adult\": , \"Aged\": }\n\n",
"data_node": "latch://158807664.node",
"grader": {
"type": "numeric_tolerance",