Lev1 dataset from 3f3190916800

README.md

@@ -15,161 +15,161 @@ configs:
 - config_name: gen_arithmetic
   data_files:
   - split: train
-    path: data/gen_arithmetic/train.jsonl
+    path: data/gen_arithmetic/train.parquet
   - split: validation
-    path: data/gen_arithmetic/validation.jsonl
+    path: data/gen_arithmetic/validation.parquet
   - split: test
-    path: data/gen_arithmetic/test.jsonl
+    path: data/gen_arithmetic/test.parquet
 - config_name: gen_boolean
   data_files:
   - split: train
-    path: data/gen_boolean/train.jsonl
+    path: data/gen_boolean/train.parquet
   - split: validation
-    path: data/gen_boolean/validation.jsonl
+    path: data/gen_boolean/validation.parquet
   - split: test
-    path: data/gen_boolean/test.jsonl
+    path: data/gen_boolean/test.parquet
 - config_name: gen_catalog
   data_files:
   - split: train
-    path: data/gen_catalog/train.jsonl
+    path: data/gen_catalog/train.parquet
   - split: validation
-    path: data/gen_catalog/validation.jsonl
+    path: data/gen_catalog/validation.parquet
   - split: test
-    path: data/gen_catalog/test.jsonl
+    path: data/gen_catalog/test.parquet
 - config_name: gen_causal
   data_files:
   - split: train
-    path: data/gen_causal/train.jsonl
+    path: data/gen_causal/train.parquet
   - split: validation
-    path: data/gen_causal/validation.jsonl
+    path: data/gen_causal/validation.parquet
   - split: test
-    path: data/gen_causal/test.jsonl
+    path: data/gen_causal/test.parquet
 - config_name: gen_code
   data_files:
   - split: train
-    path: data/gen_code/train.jsonl
+    path: data/gen_code/train.parquet
   - split: validation
-    path: data/gen_code/validation.jsonl
+    path: data/gen_code/validation.parquet
   - split: test
-    path: data/gen_code/test.jsonl
+    path: data/gen_code/test.parquet
 - config_name: gen_compare
   data_files:
   - split: train
-    path: data/gen_compare/train.jsonl
+    path: data/gen_compare/train.parquet
   - split: validation
-    path: data/gen_compare/validation.jsonl
+    path: data/gen_compare/validation.parquet
   - split: test
-    path: data/gen_compare/test.jsonl
+    path: data/gen_compare/test.parquet
 - config_name: gen_dates
   data_files:
   - split: train
-    path: data/gen_dates/train.jsonl
+    path: data/gen_dates/train.parquet
   - split: validation
-    path: data/gen_dates/validation.jsonl
+    path: data/gen_dates/validation.parquet
   - split: test
-    path: data/gen_dates/test.jsonl
+    path: data/gen_dates/test.parquet
 - config_name: gen_deduce
   data_files:
   - split: train
-    path: data/gen_deduce/train.jsonl
+    path: data/gen_deduce/train.parquet
   - split: validation
-    path: data/gen_deduce/validation.jsonl
+    path: data/gen_deduce/validation.parquet
   - split: test
-    path: data/gen_deduce/test.jsonl
+    path: data/gen_deduce/test.parquet
 - config_name: gen_facts
   data_files:
   - split: train
-    path: data/gen_facts/train.jsonl
+    path: data/gen_facts/train.parquet
   - split: validation
-    path: data/gen_facts/validation.jsonl
+    path: data/gen_facts/validation.parquet
   - split: test
-    path: data/gen_facts/test.jsonl
+    path: data/gen_facts/test.parquet
 - config_name: gen_facts_long
   data_files:
   - split: train
-    path: data/gen_facts_long/train.jsonl
+    path: data/gen_facts_long/train.parquet
   - split: validation
-    path: data/gen_facts_long/validation.jsonl
+    path: data/gen_facts_long/validation.parquet
 - config_name: gen_home
   data_files:
   - split: train
-    path: data/gen_home/train.jsonl
+    path: data/gen_home/train.parquet
   - split: validation
-    path: data/gen_home/validation.jsonl
+    path: data/gen_home/validation.parquet
   - split: test
-    path: data/gen_home/test.jsonl
+    path: data/gen_home/test.parquet
 - config_name: gen_liars
   data_files:
   - split: train
-    path: data/gen_liars/train.jsonl
+    path: data/gen_liars/train.parquet
   - split: validation
-    path: data/gen_liars/validation.jsonl
+    path: data/gen_liars/validation.parquet
   - split: test
-    path: data/gen_liars/test.jsonl
+    path: data/gen_liars/test.parquet
 - config_name: gen_navigate
   data_files:
   - split: train
-    path: data/gen_navigate/train.jsonl
+    path: data/gen_navigate/train.parquet
   - split: validation
-    path: data/gen_navigate/validation.jsonl
+    path: data/gen_navigate/validation.parquet
   - split: test
-    path: data/gen_navigate/test.jsonl
+    path: data/gen_navigate/test.parquet
 - config_name: gen_policy
   data_files:
   - split: train
-    path: data/gen_policy/train.jsonl
+    path: data/gen_policy/train.parquet
   - split: validation
-    path: data/gen_policy/validation.jsonl
+    path: data/gen_policy/validation.parquet
   - split: test
-    path: data/gen_policy/test.jsonl
+    path: data/gen_policy/test.parquet
 - config_name: gen_table
   data_files:
   - split: train
-    path: data/gen_table/train.jsonl
+    path: data/gen_table/train.parquet
   - split: validation
-    path: data/gen_table/validation.jsonl
+    path: data/gen_table/validation.parquet
   - split: test
-    path: data/gen_table/test.jsonl
+    path: data/gen_table/test.parquet
 - config_name: gen_tools
   data_files:
   - split: train
-    path: data/gen_tools/train.jsonl
+    path: data/gen_tools/train.parquet
   - split: validation
-    path: data/gen_tools/validation.jsonl
+    path: data/gen_tools/validation.parquet
   - split: test
-    path: data/gen_tools/test.jsonl
+    path: data/gen_tools/test.parquet
 - config_name: gen_track
   data_files:
   - split: train
-    path: data/gen_track/train.jsonl
+    path: data/gen_track/train.parquet
   - split: validation
-    path: data/gen_track/validation.jsonl
+    path: data/gen_track/validation.parquet
   - split: test
-    path: data/gen_track/test.jsonl
+    path: data/gen_track/test.parquet
 - config_name: pack_halluc
   data_files:
   - split: train
-    path: data/pack_halluc/train.jsonl
+    path: data/pack_halluc/train.parquet
   - split: validation
-    path: data/pack_halluc/validation.jsonl
+    path: data/pack_halluc/validation.parquet
 - config_name: pack_phish
   data_files:
   - split: train
-    path: data/pack_phish/train.jsonl
+    path: data/pack_phish/train.parquet
   - split: validation
-    path: data/pack_phish/validation.jsonl
+    path: data/pack_phish/validation.parquet
 - config_name: pack_sarcasm
   data_files:
   - split: train
-    path: data/pack_sarcasm/train.jsonl
+    path: data/pack_sarcasm/train.parquet
   - split: validation
-    path: data/pack_sarcasm/validation.jsonl
+    path: data/pack_sarcasm/validation.parquet
 - config_name: pack_stance
   data_files:
   - split: train
-    path: data/pack_stance/train.jsonl
+    path: data/pack_stance/train.parquet
   - split: validation
-    path: data/pack_stance/validation.jsonl
+    path: data/pack_stance/validation.parquet
 ---
 
 # Lev1 decisions
@@ -216,7 +216,7 @@ Before release I checked every record against the private test set of the Decisi
 
 ## Format
 
-One JSON object per line. `state`, `questions`, `gold` and `meta` are JSON text: call `json.loads` on them. A state may be a string, an object or a list. Option keys can be opaque (`k_6836`); the description carries the meaning.
+Parquet, zstd-compressed, one row per record, every column a string. `state`, `questions`, `gold` and `meta` are JSON text: call `json.loads` on them. A state may be a string, an object or a list. Option keys can be opaque (`k_6836`); the description carries the meaning.
 
 ```json
 {

data/{gen_catalog/train.jsonl → gen_arithmetic/test.parquet}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:76855b1855c2534666000440c248f72af59bbf08e7de3a945b21ebf2c7de1ee6
-size 12765223
+oid sha256:9494c1627915934f09e68afddc45cd40bff988d34c7edc62332c52146332e609
+size 15570

data/gen_arithmetic/train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7dc7d6412626038584e6bafe7ed7aa83f63e2d75d0118a934adb95c49ecf0246
+size 38949

data/gen_arithmetic/validation.jsonl

@@ -1,14 +0,0 @@
-{"id": "gen_arithmetic:40", "source": "gen_arithmetic", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Receipt: kettle: 2 units at 55 dollars each; mug: 6 units at 8 dollars each; cable: 1 units at 24 dollars each; monitor: 1 units at 37 dollars each.\"", "questions": "{\"total\": {\"type\": \"choice\", \"instructions\": \"What is the total cost of the order?\", \"criteria\": {\"16\": \"$16\", \"209\": \"$209\", \"216\": \"$216\", \"217\": \"$217\", \"219\": \"$219\", \"220\": \"$220\", \"226\": \"$226\", \"229\": \"$229\", \"328\": \"$328\", \"457\": \"$457\"}}, \"budget\": {\"type\": \"noul\", \"instructions\": \"The total is within the budget of $225.\"}, \"line\": {\"type\": \"choice\", \"instructions\": \"Which line costs the most in total (quantity times unit price)?\", \"criteria\": {\"kettle\": \"kettle\", \"mug\": \"mug\", \"cable\": \"cable\", \"monitor\": \"monitor\"}}}", "gold": "{\"total\": \"219\", \"budget\": \"yes\", \"line\": \"kettle\"}"}
-{"id": "gen_arithmetic:67", "source": "gen_arithmetic", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"4 x charger @ $12\\n8 x monitor @ $2\"", "questions": "{\"total\": {\"type\": \"choice\", \"instructions\": \"What is the total cost of the order?\", \"criteria\": {\"k_13f5\": \"$22\", \"k_2d27\": \"$29\", \"k_03a7\": \"$32\", \"k_074e\": \"$54\", \"k_7d85\": \"$57\", \"k_80de\": \"$61\", \"k_7629\": \"$62\", \"k_e77d\": \"$63\", \"k_759e\": \"$64\", \"k_e283\": \"$67\"}}, \"budget\": {\"type\": \"noul\", \"instructions\": \"The total is more than the budget of $81.\"}, \"line\": {\"type\": \"choice\", \"instructions\": \"Which line costs the most in total (quantity times unit price)?\", \"criteria\": {\"k_15d4\": \"charger\", \"k_996a\": \"monitor\"}}}", "gold": "{\"total\": \"k_759e\", \"budget\": \"no\", \"line\": \"k_15d4\"}"}
-{"id": "gen_arithmetic:68", "source": "gen_arithmetic", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Receipt: pen: 4 units at 6 dollars each; charger: 5 units at 2 dollars each; lamp: 7 units at 52 dollars each; folder: 6 units at 52 dollars each; monitor: 2 units at 35 dollars each.\"", "questions": "{\"total\": {\"type\": \"choice\", \"instructions\": \"What is the total cost of the order?\", \"criteria\": {\"390\": \"$390\", \"458\": \"$458\", \"770\": \"$770\", \"773\": \"$773\", \"777\": \"$777\", \"778\": \"$778\", \"779\": \"$779\", \"780\": \"$780\", \"781\": \"$781\", \"1557\": \"$1557\"}}, \"budget\": {\"type\": \"noul\", \"instructions\": \"The total is within the budget of $782.\"}, \"line\": {\"type\": \"choice\", \"instructions\": \"Which line costs the most in total (quantity times unit price)?\", \"criteria\": {\"pen\": \"pen\", \"charger\": \"charger\", \"lamp\": \"lamp\", \"folder\": \"folder\", \"monitor\": \"monitor\"}}}", "gold": "{\"total\": \"780\", \"budget\": \"yes\", \"line\": \"lamp\"}"}
-{"id": "gen_arithmetic:69", "source": "gen_arithmetic", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"1 x pen @ $17\\n8 x kettle @ $59\\n9 x monitor @ $28\\n6 x chair @ $54\\n1 x tape @ $34\"", "questions": "{\"total\": {\"type\": \"choice\", \"instructions\": \"What is the total cost of the order?\", \"criteria\": {\"155\": \"$155\", \"550\": \"$550\", \"1089\": \"$1089\", \"1092\": \"$1092\", \"1096\": \"$1096\", \"1099\": \"$1099\", \"1102\": \"$1102\", \"1109\": \"$1109\", \"1648\": \"$1648\", \"2073\": \"$2073\"}}, \"budget\": {\"type\": \"noul\", \"instructions\": \"The total is more than the budget of $1102.\"}, \"line\": {\"type\": \"choice\", \"instructions\": \"Which line costs the most in total (quantity times unit price)?\", \"criteria\": {\"pen\": \"pen\", \"kettle\": \"kettle\", \"monitor\": \"monitor\", \"chair\": \"chair\", \"tape\": \"tape\"}}}", "gold": "{\"total\": \"1099\", \"budget\": \"no\", \"line\": \"kettle\"}"}
-{"id": "gen_arithmetic:73", "source": "gen_arithmetic", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"4 x charger @ $12\\n8 x monitor @ $2\"", "questions": "{\"total\": {\"type\": \"choice\", \"instructions\": \"What is the total cost of the order?\", \"criteria\": {\"64\": \"$64\", \"66\": \"$66\", \"71\": \"$71\", \"96\": \"$96\"}}, \"budget\": {\"type\": \"noul\", \"instructions\": \"The total is within the budget of $61.\"}, \"line\": {\"type\": \"choice\", \"instructions\": \"Which line costs the most in total (quantity times unit price)?\", \"criteria\": {\"charger\": \"charger\", \"monitor\": \"monitor\"}}}", "gold": "{\"total\": \"64\", \"budget\": \"no\", \"line\": \"charger\"}"}
-{"id": "gen_arithmetic:155", "source": "gen_arithmetic", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Receipt: pen: 4 units at 6 dollars each; charger: 5 units at 2 dollars each; lamp: 7 units at 52 dollars each; folder: 6 units at 52 dollars each; monitor: 2 units at 35 dollars each.\"", "questions": "{\"total\": {\"type\": \"choice\", \"instructions\": \"What is the total cost of the order?\", \"criteria\": {\"k_0cc8\": \"$304\", \"k_45ce\": \"$390\", \"k_899d\": \"$596\", \"k_4efe\": \"$770\", \"k_c279\": \"$773\", \"k_d2ee\": \"$777\", \"k_59d7\": \"$778\", \"k_cfbe\": \"$779\", \"k_e1eb\": \"$780\", \"k_1e59\": \"$787\"}}, \"budget\": {\"type\": \"noul\", \"instructions\": \"The total is more than the budget of $765.\"}, \"line\": {\"type\": \"choice\", \"instructions\": \"Which line costs the most in total (quantity times unit price)?\", \"criteria\": {\"k_d065\": \"pen\", \"k_2122\": \"charger\", \"k_d65f\": \"lamp\", \"k_d062\": \"folder\", \"k_1699\": \"monitor\"}}}", "gold": "{\"total\": \"k_e1eb\", \"budget\": \"yes\", \"line\": \"k_d65f\"}"}
-{"id": "gen_arithmetic:169", "source": "gen_arithmetic", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"6 x notebook @ $35\\n3 x pen @ $7\\n5 x kettle @ $20\\n7 x mug @ $60\"", "questions": "{\"total\": {\"type\": \"choice\", \"instructions\": \"What is the total cost of the order?\", \"criteria\": {\"365\": \"$365\", \"741\": \"$741\", \"744\": \"$744\", \"748\": \"$748\", \"749\": \"$749\", \"751\": \"$751\", \"752\": \"$752\", \"758\": \"$758\", \"1083\": \"$1083\", \"1198\": \"$1198\"}}, \"budget\": {\"type\": \"noul\", \"instructions\": \"The total is more than the budget of $757.\"}, \"line\": {\"type\": \"choice\", \"instructions\": \"Which line costs the most in total (quantity times unit price)?\", \"criteria\": {\"notebook\": \"notebook\", \"pen\": \"pen\", \"kettle\": \"kettle\", \"mug\": \"mug\"}}}", "gold": "{\"total\": \"751\", \"budget\": \"no\", \"line\": \"mug\"}"}
-{"id": "gen_arithmetic:201", "source": "gen_arithmetic", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"6 x notebook @ $28\\n5 x pen @ $40\\n2 x chair @ $7\\n5 x monitor @ $9\\n2 x stapler @ $2\"", "questions": "{\"total\": {\"type\": \"choice\", \"instructions\": \"What is the total cost of the order?\", \"criteria\": {\"429\": \"$429\", \"431\": \"$431\", \"432\": \"$432\", \"434\": \"$434\", \"438\": \"$438\", \"441\": \"$441\", \"577\": \"$577\", \"587\": \"$587\", \"804\": \"$804\", \"879\": \"$879\"}}, \"budget\": {\"type\": \"noul\", \"instructions\": \"The total is more than the budget of $429.\"}, \"line\": {\"type\": \"choice\", \"instructions\": \"Which line costs the most in total (quantity times unit price)?\", \"criteria\": {\"notebook\": \"notebook\", \"pen\": \"pen\", \"chair\": \"chair\", \"monitor\": \"monitor\", \"stapler\": \"stapler\"}}}", "gold": "{\"total\": \"431\", \"budget\": \"yes\", \"line\": \"pen\"}"}
-{"id": "gen_arithmetic:204", "source": "gen_arithmetic", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Receipt: chair: 6 units at 8 dollars each; pen: 8 units at 20 dollars each; kettle: 9 units at 35 dollars each; mug: 2 units at 21 dollars each.\"", "questions": "{\"total\": {\"type\": \"choice\", \"instructions\": \"What is the total cost of the order?\", \"criteria\": {\"565\": \"$565\", \"572\": \"$572\", \"726\": \"$726\", \"847\": \"$847\"}}, \"budget\": {\"type\": \"noul\", \"instructions\": \"The total is more than the budget of $566.\"}, \"line\": {\"type\": \"choice\", \"instructions\": \"Which line costs the most in total (quantity times unit price)?\", \"criteria\": {\"chair\": \"chair\", \"pen\": \"pen\", \"kettle\": \"kettle\", \"mug\": \"mug\"}}}", "gold": "{\"total\": \"565\", \"budget\": \"no\", \"line\": \"kettle\"}"}
-{"id": "gen_arithmetic:215", "source": "gen_arithmetic", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Receipt: kettle: 2 units at 55 dollars each; mug: 6 units at 8 dollars each; cable: 1 units at 24 dollars each; monitor: 1 units at 37 dollars each.\"", "questions": "{\"total\": {\"type\": \"choice\", \"instructions\": \"What is the total cost of the order?\", \"criteria\": {\"110\": \"$110\", \"117\": \"$117\", \"209\": \"$209\", \"212\": \"$212\", \"217\": \"$217\", \"218\": \"$218\", \"219\": \"$219\", \"221\": \"$221\", \"222\": \"$222\", \"226\": \"$226\", \"none_of_these\": \"None of the other options is correct.\"}}, \"budget\": {\"type\": \"noul\", \"instructions\": \"The total is within the budget of $199.\"}, \"line\": {\"type\": \"choice\", \"instructions\": \"Which line costs the most in total (quantity times unit price)?\", \"criteria\": {\"kettle\": \"kettle\", \"mug\": \"mug\", \"cable\": \"cable\", \"monitor\": \"monitor\", \"none_of_these\": \"None of the other options is correct.\"}}}", "gold": "{\"total\": \"219\", \"budget\": \"no\", \"line\": \"kettle\"}"}
-{"id": "gen_arithmetic:217", "source": "gen_arithmetic", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"6 x notebook @ $35\\n3 x pen @ $7\\n5 x kettle @ $20\\n7 x mug @ $60\"", "questions": "{\"total\": {\"type\": \"choice\", \"instructions\": \"What is the total cost of the order?\", \"criteria\": {\"k_560e\": \"$376\", \"k_01f6\": \"$543\", \"k_c381\": \"$749\", \"k_194d\": \"$750\", \"k_0e4c\": \"$751\", \"k_1bec\": \"$752\", \"k_d960\": \"$753\", \"k_a331\": \"$761\", \"k_6dcf\": \"$1367\", \"k_265f\": \"$1455\"}}, \"budget\": {\"type\": \"noul\", \"instructions\": \"The total is more than the budget of $739.\"}, \"line\": {\"type\": \"choice\", \"instructions\": \"Which line costs the most in total (quantity times unit price)?\", \"criteria\": {\"k_9315\": \"notebook\", \"k_576d\": \"pen\", \"k_9bd8\": \"kettle\", \"k_59e5\": \"mug\"}}}", "gold": "{\"total\": \"k_0e4c\", \"budget\": \"yes\", \"line\": \"k_59e5\"}"}
-{"id": "gen_arithmetic:246", "source": "gen_arithmetic", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Receipt: chair: 6 units at 8 dollars each; pen: 8 units at 20 dollars each; kettle: 9 units at 35 dollars each; mug: 2 units at 21 dollars each.\"", "questions": "{\"total\": {\"type\": \"choice\", \"instructions\": \"What is the total cost of the order?\", \"criteria\": {\"k_56a9\": \"$233\", \"k_997c\": \"$234\", \"k_1954\": \"$283\", \"k_4264\": \"$430\", \"k_6368\": \"$555\", \"k_1070\": \"$558\", \"k_0699\": \"$562\", \"k_4d99\": \"$563\", \"k_9245\": \"$564\", \"k_4498\": \"$565\"}}, \"budget\": {\"type\": \"noul\", \"instructions\": \"The total is within the budget of $548.\"}, \"line\": {\"type\": \"choice\", \"instructions\": \"Which line costs the most in total (quantity times unit price)?\", \"criteria\": {\"k_085e\": \"chair\", \"k_4007\": \"pen\", \"k_56c1\": \"kettle\", \"k_825e\": \"mug\"}}}", "gold": "{\"total\": \"k_4498\", \"budget\": \"no\", \"line\": \"k_56c1\"}"}
-{"id": "gen_arithmetic:270", "source": "gen_arithmetic", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"6 x notebook @ $28\\n5 x pen @ $40\\n2 x chair @ $7\\n5 x monitor @ $9\\n2 x stapler @ $2\"", "questions": "{\"total\": {\"type\": \"choice\", \"instructions\": \"What is the total cost of the order?\", \"criteria\": {\"91\": \"$91\", \"103\": \"$103\", \"118\": \"$118\", \"143\": \"$143\", \"216\": \"$216\", \"424\": \"$424\", \"428\": \"$428\", \"429\": \"$429\", \"430\": \"$430\", \"431\": \"$431\"}}, \"budget\": {\"type\": \"noul\", \"instructions\": \"The total is more than the budget of $436.\"}, \"line\": {\"type\": \"choice\", \"instructions\": \"Which line costs the most in total (quantity times unit price)?\", \"criteria\": {\"notebook\": \"notebook\", \"pen\": \"pen\", \"chair\": \"chair\", \"monitor\": \"monitor\", \"stapler\": \"stapler\"}}}", "gold": "{\"total\": \"431\", \"budget\": \"no\", \"line\": \"pen\"}"}
-{"id": "gen_arithmetic:273", "source": "gen_arithmetic", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"1 x pen @ $17\\n8 x kettle @ $59\\n9 x monitor @ $28\\n6 x chair @ $54\\n1 x tape @ $34\"", "questions": "{\"total\": {\"type\": \"choice\", \"instructions\": \"What is the total cost of the order?\", \"criteria\": {\"1099\": \"$1099\", \"1100\": \"$1100\", \"1101\": \"$1101\", \"1648\": \"$1648\"}}, \"budget\": {\"type\": \"noul\", \"instructions\": \"The total is more than the budget of $1080.\"}, \"line\": {\"type\": \"choice\", \"instructions\": \"Which line costs the most in total (quantity times unit price)?\", \"criteria\": {\"pen\": \"pen\", \"kettle\": \"kettle\", \"monitor\": \"monitor\", \"chair\": \"chair\", \"tape\": \"tape\"}}}", "gold": "{\"total\": \"1099\", \"budget\": \"yes\", \"line\": \"kettle\"}"}

data/gen_arithmetic/validation.parquet

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+size 7088

data/gen_boolean/test.jsonl

@@ -1,30 +0,0 @@
-{"id": "gen_boolean:788", "source": "gen_boolean", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"(((TRUE OR FALSE) AND (FALSE AND TRUE)) AND NOT (FALSE OR TRUE))\"", "questions": "{\"value\": {\"type\": \"noul\", \"instructions\": \"The expression evaluates to true.\"}}", "gold": "{\"value\": \"no\"}"}
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data/gen_causal/test.jsonl

@@ -1,40 +0,0 @@
-{"id": "gen_causal:1000", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people use a standing desk affects whether they sleep eight hours and whether they exercise daily; whether they sleep eight hours also affects whether they exercise daily. | 30% of people use a standing desk. | Among people who use a standing desk, 60% sleep eight hours; among those who do not, 90% sleep eight hours. | Among people who sleep eight hours and use a standing desk, 80% exercise daily. | Among people who sleep eight hours and do not use a standing desk, 50% exercise daily. | Among people who do not sleep eight hours and use a standing desk, 20% exercise daily. | Among people who do not sleep eight hours and do not use a standing desk, 90% exercise daily.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who sleep eight hours are more likely to exercise daily than people who do not sleep eight hours.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to sleep eight hours would raise the share of people who exercise daily.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:1001", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people keep a garden affects whether they drink coffee and whether they eat breakfast; whether they drink coffee also affects whether they eat breakfast. | 80% of people keep a garden. | Among people who keep a garden, 90% drink coffee; among those who do not, 40% drink coffee. | Among people who drink coffee and keep a garden, 40% eat breakfast. | Among people who drink coffee and do not keep a garden, 70% eat breakfast. | Among people who do not drink coffee and keep a garden, 10% eat breakfast. | Among people who do not drink coffee and do not keep a garden, 10% eat breakfast.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who drink coffee are more likely to eat breakfast than people who do not drink coffee.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to drink coffee would raise the share of people who eat breakfast.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:1002", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people use a standing desk affects whether they drink coffee and whether they cycle to work; whether they drink coffee also affects whether they cycle to work. | 90% of people use a standing desk. | Among people who use a standing desk, 10% drink coffee; among those who do not, 40% drink coffee. | Among people who drink coffee and use a standing desk, 10% cycle to work. | Among people who drink coffee and do not use a standing desk, 20% cycle to work. | Among people who do not drink coffee and use a standing desk, 70% cycle to work. | Among people who do not drink coffee and do not use a standing desk, 80% cycle to work.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who drink coffee are more likely to cycle to work than people who do not drink coffee.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to drink coffee would raise the share of people who cycle to work.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:1003", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people keep a garden affects whether they live in a city and whether they eat breakfast; whether they live in a city also affects whether they eat breakfast. | 30% of people keep a garden. | Among people who keep a garden, 10% live in a city; among those who do not, 70% live in a city. | Among people who live in a city and keep a garden, 70% eat breakfast. | Among people who live in a city and do not keep a garden, 30% eat breakfast. | Among people who do not live in a city and keep a garden, 80% eat breakfast. | Among people who do not live in a city and do not keep a garden, 90% eat breakfast.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who live in a city are more likely to eat breakfast than people who do not live in a city.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to live in a city would raise the share of people who eat breakfast.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:1004", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people use a standing desk affects whether they keep a garden and whether they eat breakfast; whether they keep a garden also affects whether they eat breakfast. | 30% of people use a standing desk. | Among people who use a standing desk, 20% keep a garden; among those who do not, 80% keep a garden. | Among people who keep a garden and use a standing desk, 40% eat breakfast. | Among people who keep a garden and do not use a standing desk, 60% eat breakfast. | Among people who do not keep a garden and use a standing desk, 90% eat breakfast. | Among people who do not keep a garden and do not use a standing desk, 30% eat breakfast.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who keep a garden are more likely to eat breakfast than people who do not keep a garden.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to keep a garden would raise the share of people who eat breakfast.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:1005", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people cycle to work affects whether they own a dog and whether they sleep eight hours; whether they own a dog also affects whether they sleep eight hours. | 70% of people cycle to work. | Among people who cycle to work, 10% own a dog; among those who do not, 80% own a dog. | Among people who own a dog and cycle to work, 10% sleep eight hours. | Among people who own a dog and do not cycle to work, 30% sleep eight hours. | Among people who do not own a dog and cycle to work, 50% sleep eight hours. | Among people who do not own a dog and do not cycle to work, 10% sleep eight hours.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who own a dog are more likely to sleep eight hours than people who do not own a dog.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to own a dog would raise the share of people who sleep eight hours.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:1006", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people keep a garden affects whether they live in a city and whether they exercise daily; whether they live in a city also affects whether they exercise daily. | 40% of people keep a garden. | Among people who keep a garden, 60% live in a city; among those who do not, 70% live in a city. | Among people who live in a city and keep a garden, 90% exercise daily. | Among people who live in a city and do not keep a garden, 20% exercise daily. | Among people who do not live in a city and keep a garden, 20% exercise daily. | Among people who do not live in a city and do not keep a garden, 80% exercise daily.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who live in a city are more likely to exercise daily than people who do not live in a city.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to live in a city would raise the share of people who exercise daily.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:1007", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people read before bed affects whether they drink coffee and whether they cycle to work; whether they drink coffee also affects whether they cycle to work. | 90% of people read before bed. | Among people who read before bed, 10% drink coffee; among those who do not, 80% drink coffee. | Among people who drink coffee and read before bed, 40% cycle to work. | Among people who drink coffee and do not read before bed, 70% cycle to work. | Among people who do not drink coffee and read before bed, 50% cycle to work. | Among people who do not drink coffee and do not read before bed, 20% cycle to work.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who drink coffee are more likely to cycle to work than people who do not drink coffee.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to drink coffee would raise the share of people who cycle to work.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:1008", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people live in a city affects whether they use a standing desk and whether they sleep eight hours; whether they use a standing desk also affects whether they sleep eight hours. | 20% of people live in a city. | Among people who live in a city, 10% use a standing desk; among those who do not, 20% use a standing desk. | Among people who use a standing desk and live in a city, 20% sleep eight hours. | Among people who use a standing desk and do not live in a city, 80% sleep eight hours. | Among people who do not use a standing desk and live in a city, 90% sleep eight hours. | Among people who do not use a standing desk and do not live in a city, 40% sleep eight hours.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who use a standing desk are more likely to sleep eight hours than people who do not use a standing desk.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to use a standing desk would raise the share of people who sleep eight hours.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:1009", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people drink coffee affects whether they exercise daily and whether they read before bed; whether they exercise daily also affects whether they read before bed. | 10% of people drink coffee. | Among people who drink coffee, 60% exercise daily; among those who do not, 40% exercise daily. | Among people who exercise daily and drink coffee, 90% read before bed. | Among people who exercise daily and do not drink coffee, 20% read before bed. | Among people who do not exercise daily and drink coffee, 10% read before bed. | Among people who do not exercise daily and do not drink coffee, 80% read before bed.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who exercise daily are more likely to read before bed than people who do not exercise daily.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to exercise daily would raise the share of people who read before bed.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:1010", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people take vitamin D affects whether they own a dog and whether they exercise daily; whether they own a dog also affects whether they exercise daily. | 20% of people take vitamin D. | Among people who take vitamin D, 80% own a dog; among those who do not, 30% own a dog. | Among people who own a dog and take vitamin D, 90% exercise daily. | Among people who own a dog and do not take vitamin D, 20% exercise daily. | Among people who do not own a dog and take vitamin D, 20% exercise daily. | Among people who do not own a dog and do not take vitamin D, 40% exercise daily.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who own a dog are more likely to exercise daily than people who do not own a dog.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to own a dog would raise the share of people who exercise daily.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:1011", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people read before bed affects whether they sleep eight hours and whether they exercise daily; whether they sleep eight hours also affects whether they exercise daily. | 90% of people read before bed. | Among people who read before bed, 80% sleep eight hours; among those who do not, 10% sleep eight hours. | Among people who sleep eight hours and read before bed, 60% exercise daily. | Among people who sleep eight hours and do not read before bed, 10% exercise daily. | Among people who do not sleep eight hours and read before bed, 80% exercise daily. | Among people who do not sleep eight hours and do not read before bed, 30% exercise daily.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who sleep eight hours are more likely to exercise daily than people who do not sleep eight hours.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to sleep eight hours would raise the share of people who exercise daily.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:1012", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people live in a city affects whether they keep a garden and whether they work night shifts; whether they keep a garden also affects whether they work night shifts. | 70% of people live in a city. | Among people who live in a city, 30% keep a garden; among those who do not, 90% keep a garden. | Among people who keep a garden and live in a city, 90% work night shifts. | Among people who keep a garden and do not live in a city, 10% work night shifts. | Among people who do not keep a garden and live in a city, 60% work night shifts. | Among people who do not keep a garden and do not live in a city, 50% work night shifts.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who keep a garden are more likely to work night shifts than people who do not keep a garden.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to keep a garden would raise the share of people who work night shifts.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:1013", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people drink coffee affects whether they take vitamin D and whether they live in a city; whether they take vitamin D also affects whether they live in a city. | 90% of people drink coffee. | Among people who drink coffee, 10% take vitamin D; among those who do not, 50% take vitamin D. | Among people who take vitamin D and drink coffee, 10% live in a city. | Among people who take vitamin D and do not drink coffee, 90% live in a city. | Among people who do not take vitamin D and drink coffee, 10% live in a city. | Among people who do not take vitamin D and do not drink coffee, 30% live in a city.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who take vitamin D are more likely to live in a city than people who do not take vitamin D.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to take vitamin D would raise the share of people who live in a city.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:1014", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people keep a garden affects whether they use a standing desk and whether they eat breakfast; whether they use a standing desk also affects whether they eat breakfast. | 70% of people keep a garden. | Among people who keep a garden, 20% use a standing desk; among those who do not, 70% use a standing desk. | Among people who use a standing desk and keep a garden, 30% eat breakfast. | Among people who use a standing desk and do not keep a garden, 30% eat breakfast. | Among people who do not use a standing desk and keep a garden, 10% eat breakfast. | Among people who do not use a standing desk and do not keep a garden, 60% eat breakfast.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who use a standing desk are more likely to eat breakfast than people who do not use a standing desk.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to use a standing desk would raise the share of people who eat breakfast.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:1015", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people read before bed affects whether they drink coffee and whether they work night shifts; whether they drink coffee also affects whether they work night shifts. | 10% of people read before bed. | Among people who read before bed, 10% drink coffee; among those who do not, 70% drink coffee. | Among people who drink coffee and read before bed, 50% work night shifts. | Among people who drink coffee and do not read before bed, 50% work night shifts. | Among people who do not drink coffee and read before bed, 90% work night shifts. | Among people who do not drink coffee and do not read before bed, 40% work night shifts.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who drink coffee are more likely to work night shifts than people who do not drink coffee.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to drink coffee would raise the share of people who work night shifts.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:1016", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people sleep eight hours affects whether they own a dog and whether they take vitamin D; whether they own a dog also affects whether they take vitamin D. | 70% of people sleep eight hours. | Among people who sleep eight hours, 60% own a dog; among those who do not, 90% own a dog. | Among people who own a dog and sleep eight hours, 50% take vitamin D. | Among people who own a dog and do not sleep eight hours, 90% take vitamin D. | Among people who do not own a dog and sleep eight hours, 80% take vitamin D. | Among people who do not own a dog and do not sleep eight hours, 40% take vitamin D.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who own a dog are more likely to take vitamin D than people who do not own a dog.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to own a dog would raise the share of people who take vitamin D.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:1017", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people use a standing desk affects whether they cycle to work and whether they read before bed; whether they cycle to work also affects whether they read before bed. | 90% of people use a standing desk. | Among people who use a standing desk, 10% cycle to work; among those who do not, 10% cycle to work. | Among people who cycle to work and use a standing desk, 20% read before bed. | Among people who cycle to work and do not use a standing desk, 30% read before bed. | Among people who do not cycle to work and use a standing desk, 30% read before bed. | Among people who do not cycle to work and do not use a standing desk, 10% read before bed.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who cycle to work are more likely to read before bed than people who do not cycle to work.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to cycle to work would raise the share of people who read before bed.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:1018", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people exercise daily affects whether they keep a garden and whether they take vitamin D; whether they keep a garden also affects whether they take vitamin D. | 70% of people exercise daily. | Among people who exercise daily, 90% keep a garden; among those who do not, 20% keep a garden. | Among people who keep a garden and exercise daily, 30% take vitamin D. | Among people who keep a garden and do not exercise daily, 10% take vitamin D. | Among people who do not keep a garden and exercise daily, 60% take vitamin D. | Among people who do not keep a garden and do not exercise daily, 10% take vitamin D.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who keep a garden are more likely to take vitamin D than people who do not keep a garden.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to keep a garden would raise the share of people who take vitamin D.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:1019", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people cycle to work affects whether they keep a garden and whether they sleep eight hours; whether they keep a garden also affects whether they sleep eight hours. | 40% of people cycle to work. | Among people who cycle to work, 10% keep a garden; among those who do not, 70% keep a garden. | Among people who keep a garden and cycle to work, 30% sleep eight hours. | Among people who keep a garden and do not cycle to work, 30% sleep eight hours. | Among people who do not keep a garden and cycle to work, 40% sleep eight hours. | Among people who do not keep a garden and do not cycle to work, 40% sleep eight hours.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who keep a garden are more likely to sleep eight hours than people who do not keep a garden.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to keep a garden would raise the share of people who sleep eight hours.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:1020", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people keep a garden affects whether they take vitamin D and whether they work night shifts; whether they take vitamin D also affects whether they work night shifts. | 30% of people keep a garden. | Among people who keep a garden, 80% take vitamin D; among those who do not, 90% take vitamin D. | Among people who take vitamin D and keep a garden, 20% work night shifts. | Among people who take vitamin D and do not keep a garden, 80% work night shifts. | Among people who do not take vitamin D and keep a garden, 70% work night shifts. | Among people who do not take vitamin D and do not keep a garden, 50% work night shifts.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who take vitamin D are more likely to work night shifts than people who do not take vitamin D.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to take vitamin D would raise the share of people who work night shifts.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:1021", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people live in a city affects whether they drink coffee and whether they keep a garden; whether they drink coffee also affects whether they keep a garden. | 90% of people live in a city. | Among people who live in a city, 80% drink coffee; among those who do not, 70% drink coffee. | Among people who drink coffee and live in a city, 40% keep a garden. | Among people who drink coffee and do not live in a city, 30% keep a garden. | Among people who do not drink coffee and live in a city, 50% keep a garden. | Among people who do not drink coffee and do not live in a city, 10% keep a garden.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who drink coffee are more likely to keep a garden than people who do not drink coffee.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to drink coffee would raise the share of people who keep a garden.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:1022", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people sleep eight hours affects whether they use a standing desk and whether they live in a city; whether they use a standing desk also affects whether they live in a city. | 90% of people sleep eight hours. | Among people who sleep eight hours, 30% use a standing desk; among those who do not, 90% use a standing desk. | Among people who use a standing desk and sleep eight hours, 30% live in a city. | Among people who use a standing desk and do not sleep eight hours, 90% live in a city. | Among people who do not use a standing desk and sleep eight hours, 40% live in a city. | Among people who do not use a standing desk and do not sleep eight hours, 50% live in a city.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who use a standing desk are more likely to live in a city than people who do not use a standing desk.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to use a standing desk would raise the share of people who live in a city.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:1023", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people exercise daily affects whether they work night shifts and whether they own a dog; whether they work night shifts also affects whether they own a dog. | 40% of people exercise daily. | Among people who exercise daily, 90% work night shifts; among those who do not, 10% work night shifts. | Among people who work night shifts and exercise daily, 40% own a dog. | Among people who work night shifts and do not exercise daily, 90% own a dog. | Among people who do not work night shifts and exercise daily, 30% own a dog. | Among people who do not work night shifts and do not exercise daily, 60% own a dog.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who work night shifts are more likely to own a dog than people who do not work night shifts.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to work night shifts would raise the share of people who own a dog.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:1024", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people read before bed affects whether they drink coffee and whether they keep a garden; whether they drink coffee also affects whether they keep a garden. | 20% of people read before bed. | Among people who read before bed, 60% drink coffee; among those who do not, 20% drink coffee. | Among people who drink coffee and read before bed, 40% keep a garden. | Among people who drink coffee and do not read before bed, 70% keep a garden. | Among people who do not drink coffee and read before bed, 20% keep a garden. | Among people who do not drink coffee and do not read before bed, 70% keep a garden.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who drink coffee are more likely to keep a garden than people who do not drink coffee.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to drink coffee would raise the share of people who keep a garden.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:1025", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people read before bed affects whether they eat breakfast and whether they live in a city; whether they eat breakfast also affects whether they live in a city. | 10% of people read before bed. | Among people who read before bed, 30% eat breakfast; among those who do not, 90% eat breakfast. | Among people who eat breakfast and read before bed, 50% live in a city. | Among people who eat breakfast and do not read before bed, 60% live in a city. | Among people who do not eat breakfast and read before bed, 30% live in a city. | Among people who do not eat breakfast and do not read before bed, 70% live in a city.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who eat breakfast are more likely to live in a city than people who do not eat breakfast.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to eat breakfast would raise the share of people who live in a city.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:1026", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people exercise daily affects whether they drink coffee and whether they own a dog; whether they drink coffee also affects whether they own a dog. | 40% of people exercise daily. | Among people who exercise daily, 60% drink coffee; among those who do not, 20% drink coffee. | Among people who drink coffee and exercise daily, 10% own a dog. | Among people who drink coffee and do not exercise daily, 80% own a dog. | Among people who do not drink coffee and exercise daily, 60% own a dog. | Among people who do not drink coffee and do not exercise daily, 40% own a dog.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who drink coffee are more likely to own a dog than people who do not drink coffee.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to drink coffee would raise the share of people who own a dog.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:1027", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people exercise daily affects whether they live in a city and whether they eat breakfast; whether they live in a city also affects whether they eat breakfast. | 20% of people exercise daily. | Among people who exercise daily, 50% live in a city; among those who do not, 90% live in a city. | Among people who live in a city and exercise daily, 30% eat breakfast. | Among people who live in a city and do not exercise daily, 20% eat breakfast. | Among people who do not live in a city and exercise daily, 10% eat breakfast. | Among people who do not live in a city and do not exercise daily, 30% eat breakfast.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who live in a city are more likely to eat breakfast than people who do not live in a city.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to live in a city would raise the share of people who eat breakfast.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:1028", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people take vitamin D affects whether they live in a city and whether they sleep eight hours; whether they live in a city also affects whether they sleep eight hours. | 40% of people take vitamin D. | Among people who take vitamin D, 30% live in a city; among those who do not, 50% live in a city. | Among people who live in a city and take vitamin D, 90% sleep eight hours. | Among people who live in a city and do not take vitamin D, 50% sleep eight hours. | Among people who do not live in a city and take vitamin D, 50% sleep eight hours. | Among people who do not live in a city and do not take vitamin D, 50% sleep eight hours.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who live in a city are more likely to sleep eight hours than people who do not live in a city.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to live in a city would raise the share of people who sleep eight hours.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:1029", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people exercise daily affects whether they own a dog and whether they work night shifts; whether they own a dog also affects whether they work night shifts. | 10% of people exercise daily. | Among people who exercise daily, 30% own a dog; among those who do not, 90% own a dog. | Among people who own a dog and exercise daily, 60% work night shifts. | Among people who own a dog and do not exercise daily, 60% work night shifts. | Among people who do not own a dog and exercise daily, 30% work night shifts. | Among people who do not own a dog and do not exercise daily, 70% work night shifts.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who own a dog are more likely to work night shifts than people who do not own a dog.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to own a dog would raise the share of people who work night shifts.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:1030", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people sleep eight hours affects whether they live in a city and whether they take vitamin D; whether they live in a city also affects whether they take vitamin D. | 70% of people sleep eight hours. | Among people who sleep eight hours, 20% live in a city; among those who do not, 90% live in a city. | Among people who live in a city and sleep eight hours, 10% take vitamin D. | Among people who live in a city and do not sleep eight hours, 60% take vitamin D. | Among people who do not live in a city and sleep eight hours, 40% take vitamin D. | Among people who do not live in a city and do not sleep eight hours, 40% take vitamin D.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who live in a city are more likely to take vitamin D than people who do not live in a city.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to live in a city would raise the share of people who take vitamin D.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:1031", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people read before bed affects whether they keep a garden and whether they exercise daily; whether they keep a garden also affects whether they exercise daily. | 40% of people read before bed. | Among people who read before bed, 10% keep a garden; among those who do not, 80% keep a garden. | Among people who keep a garden and read before bed, 30% exercise daily. | Among people who keep a garden and do not read before bed, 70% exercise daily. | Among people who do not keep a garden and read before bed, 90% exercise daily. | Among people who do not keep a garden and do not read before bed, 20% exercise daily.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who keep a garden are more likely to exercise daily than people who do not keep a garden.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to keep a garden would raise the share of people who exercise daily.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:1032", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people keep a garden affects whether they work night shifts and whether they cycle to work; whether they work night shifts also affects whether they cycle to work. | 20% of people keep a garden. | Among people who keep a garden, 60% work night shifts; among those who do not, 60% work night shifts. | Among people who work night shifts and keep a garden, 60% cycle to work. | Among people who work night shifts and do not keep a garden, 90% cycle to work. | Among people who do not work night shifts and keep a garden, 30% cycle to work. | Among people who do not work night shifts and do not keep a garden, 70% cycle to work.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who work night shifts are more likely to cycle to work than people who do not work night shifts.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to work night shifts would raise the share of people who cycle to work.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:1033", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people take vitamin D affects whether they cycle to work and whether they live in a city; whether they cycle to work also affects whether they live in a city. | 60% of people take vitamin D. | Among people who take vitamin D, 20% cycle to work; among those who do not, 70% cycle to work. | Among people who cycle to work and take vitamin D, 50% live in a city. | Among people who cycle to work and do not take vitamin D, 80% live in a city. | Among people who do not cycle to work and take vitamin D, 60% live in a city. | Among people who do not cycle to work and do not take vitamin D, 80% live in a city.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who cycle to work are more likely to live in a city than people who do not cycle to work.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to cycle to work would raise the share of people who live in a city.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:1034", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people own a dog affects whether they keep a garden and whether they live in a city; whether they keep a garden also affects whether they live in a city. | 60% of people own a dog. | Among people who own a dog, 80% keep a garden; among those who do not, 60% keep a garden. | Among people who keep a garden and own a dog, 60% live in a city. | Among people who keep a garden and do not own a dog, 50% live in a city. | Among people who do not keep a garden and own a dog, 40% live in a city. | Among people who do not keep a garden and do not own a dog, 40% live in a city.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who keep a garden are more likely to live in a city than people who do not keep a garden.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to keep a garden would raise the share of people who live in a city.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:1035", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people read before bed affects whether they eat breakfast and whether they work night shifts; whether they eat breakfast also affects whether they work night shifts. | 70% of people read before bed. | Among people who read before bed, 80% eat breakfast; among those who do not, 30% eat breakfast. | Among people who eat breakfast and read before bed, 40% work night shifts. | Among people who eat breakfast and do not read before bed, 90% work night shifts. | Among people who do not eat breakfast and read before bed, 30% work night shifts. | Among people who do not eat breakfast and do not read before bed, 80% work night shifts.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who eat breakfast are more likely to work night shifts than people who do not eat breakfast.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to eat breakfast would raise the share of people who work night shifts.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:1036", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people eat breakfast affects whether they cycle to work and whether they live in a city; whether they cycle to work also affects whether they live in a city. | 60% of people eat breakfast. | Among people who eat breakfast, 70% cycle to work; among those who do not, 40% cycle to work. | Among people who cycle to work and eat breakfast, 70% live in a city. | Among people who cycle to work and do not eat breakfast, 30% live in a city. | Among people who do not cycle to work and eat breakfast, 10% live in a city. | Among people who do not cycle to work and do not eat breakfast, 40% live in a city.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who cycle to work are more likely to live in a city than people who do not cycle to work.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to cycle to work would raise the share of people who live in a city.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:1037", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people own a dog affects whether they use a standing desk and whether they keep a garden; whether they use a standing desk also affects whether they keep a garden. | 40% of people own a dog. | Among people who own a dog, 40% use a standing desk; among those who do not, 70% use a standing desk. | Among people who use a standing desk and own a dog, 90% keep a garden. | Among people who use a standing desk and do not own a dog, 50% keep a garden. | Among people who do not use a standing desk and own a dog, 90% keep a garden. | Among people who do not use a standing desk and do not own a dog, 30% keep a garden.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who use a standing desk are more likely to keep a garden than people who do not use a standing desk.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to use a standing desk would raise the share of people who keep a garden.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:1038", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people drink coffee affects whether they exercise daily and whether they own a dog; whether they exercise daily also affects whether they own a dog. | 40% of people drink coffee. | Among people who drink coffee, 20% exercise daily; among those who do not, 70% exercise daily. | Among people who exercise daily and drink coffee, 80% own a dog. | Among people who exercise daily and do not drink coffee, 30% own a dog. | Among people who do not exercise daily and drink coffee, 70% own a dog. | Among people who do not exercise daily and do not drink coffee, 20% own a dog.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who exercise daily are more likely to own a dog than people who do not exercise daily.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to exercise daily would raise the share of people who own a dog.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:1039", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Study notes | Whether people eat breakfast affects whether they keep a garden and whether they sleep eight hours; whether they keep a garden also affects whether they sleep eight hours. | 10% of people eat breakfast. | Among people who eat breakfast, 20% keep a garden; among those who do not, 70% keep a garden. | Among people who keep a garden and eat breakfast, 70% sleep eight hours. | Among people who keep a garden and do not eat breakfast, 90% sleep eight hours. | Among people who do not keep a garden and eat breakfast, 30% sleep eight hours. | Among people who do not keep a garden and do not eat breakfast, 50% sleep eight hours.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who keep a garden are more likely to sleep eight hours than people who do not keep a garden.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to keep a garden would raise the share of people who sleep eight hours.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}

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-{"id": "gen_causal:4", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people drink coffee affects whether they live in a city and whether they eat breakfast; whether they live in a city also affects whether they eat breakfast.\\n- 90% of people drink coffee.\\n- Among people who drink coffee, 30% live in a city; among those who do not, 80% live in a city.\\n- Among people who live in a city and drink coffee, 80% eat breakfast.\\n- Among people who live in a city and do not drink coffee, 10% eat breakfast.\\n- Among people who do not live in a city and drink coffee, 50% eat breakfast.\\n- Among people who do not live in a city and do not drink coffee, 70% eat breakfast.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who live in a city are more likely to eat breakfast than people who do not live in a city.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to live in a city would raise the share of people who eat breakfast.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:6", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people use a standing desk affects whether they eat breakfast and whether they read before bed; whether they eat breakfast also affects whether they read before bed.\\n- 40% of people use a standing desk.\\n- Among people who use a standing desk, 20% eat breakfast; among those who do not, 90% eat breakfast.\\n- Among people who eat breakfast and use a standing desk, 50% read before bed.\\n- Among people who eat breakfast and do not use a standing desk, 90% read before bed.\\n- Among people who do not eat breakfast and use a standing desk, 70% read before bed.\\n- Among people who do not eat breakfast and do not use a standing desk, 90% read before bed.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who eat breakfast are more likely to read before bed than people who do not eat breakfast.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to eat breakfast would raise the share of people who read before bed.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:16", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Whether people keep a garden affects whether they cycle to work and whether they drink coffee; whether they cycle to work also affects whether they drink coffee. 40% of people keep a garden. Among people who keep a garden, 20% cycle to work; among those who do not, 70% cycle to work. Among people who cycle to work and keep a garden, 80% drink coffee. Among people who cycle to work and do not keep a garden, 50% drink coffee. Among people who do not cycle to work and keep a garden, 90% drink coffee. Among people who do not cycle to work and do not keep a garden, 20% drink coffee.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who cycle to work are more likely to drink coffee than people who do not cycle to work.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to cycle to work would raise the share of people who drink coffee.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:53", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "{\"facts\": [\"Whether people work night shifts affects whether they read before bed and whether they cycle to work; whether they read before bed also affects whether they cycle to work.\", \"50% of people work night shifts.\", \"Among people who work night shifts, 90% read before bed; among those who do not, 50% read before bed.\", \"Among people who read before bed and work night shifts, 10% cycle to work.\", \"Among people who read before bed and do not work night shifts, 40% cycle to work.\", \"Among people who do not read before bed and work night shifts, 50% cycle to work.\", \"Among people who do not read before bed and do not work night shifts, 10% cycle to work.\"]}", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who read before bed are more likely to cycle to work than people who do not read before bed.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to read before bed would raise the share of people who cycle to work.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:94", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people cycle to work affects whether they drink coffee and whether they keep a garden; whether they drink coffee also affects whether they keep a garden.\\n- 40% of people cycle to work.\\n- Among people who cycle to work, 70% drink coffee; among those who do not, 20% drink coffee.\\n- Among people who drink coffee and cycle to work, 60% keep a garden.\\n- Among people who drink coffee and do not cycle to work, 60% keep a garden.\\n- Among people who do not drink coffee and cycle to work, 40% keep a garden.\\n- Among people who do not drink coffee and do not cycle to work, 70% keep a garden.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who drink coffee are more likely to keep a garden than people who do not drink coffee.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to drink coffee would raise the share of people who keep a garden.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:98", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people live in a city affects whether they keep a garden and whether they read before bed; whether they keep a garden also affects whether they read before bed.\\n- 80% of people live in a city.\\n- Among people who live in a city, 70% keep a garden; among those who do not, 40% keep a garden.\\n- Among people who keep a garden and live in a city, 30% read before bed.\\n- Among people who keep a garden and do not live in a city, 30% read before bed.\\n- Among people who do not keep a garden and live in a city, 20% read before bed.\\n- Among people who do not keep a garden and do not live in a city, 60% read before bed.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who keep a garden are more likely to read before bed than people who do not keep a garden.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to keep a garden would raise the share of people who read before bed.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:116", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "{\"facts\": [\"Whether people drink coffee affects whether they eat breakfast and whether they cycle to work; whether they eat breakfast also affects whether they cycle to work.\", \"20% of people drink coffee.\", \"Among people who drink coffee, 70% eat breakfast; among those who do not, 90% eat breakfast.\", \"Among people who eat breakfast and drink coffee, 80% cycle to work.\", \"Among people who eat breakfast and do not drink coffee, 50% cycle to work.\", \"Among people who do not eat breakfast and drink coffee, 10% cycle to work.\", \"Among people who do not eat breakfast and do not drink coffee, 80% cycle to work.\"]}", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who eat breakfast are more likely to cycle to work than people who do not eat breakfast.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to eat breakfast would raise the share of people who cycle to work.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:161", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people keep a garden affects whether they sleep eight hours and whether they use a standing desk; whether they sleep eight hours also affects whether they use a standing desk.\\n- 80% of people keep a garden.\\n- Among people who keep a garden, 50% sleep eight hours; among those who do not, 50% sleep eight hours.\\n- Among people who sleep eight hours and keep a garden, 70% use a standing desk.\\n- Among people who sleep eight hours and do not keep a garden, 90% use a standing desk.\\n- Among people who do not sleep eight hours and keep a garden, 20% use a standing desk.\\n- Among people who do not sleep eight hours and do not keep a garden, 80% use a standing desk.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who sleep eight hours are more likely to use a standing desk than people who do not sleep eight hours.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to sleep eight hours would raise the share of people who use a standing desk.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:169", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Whether people cycle to work affects whether they drink coffee and whether they keep a garden; whether they drink coffee also affects whether they keep a garden. 10% of people cycle to work. Among people who cycle to work, 70% drink coffee; among those who do not, 40% drink coffee. Among people who drink coffee and cycle to work, 80% keep a garden. Among people who drink coffee and do not cycle to work, 40% keep a garden. Among people who do not drink coffee and cycle to work, 20% keep a garden. Among people who do not drink coffee and do not cycle to work, 60% keep a garden.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who drink coffee are more likely to keep a garden than people who do not drink coffee.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to drink coffee would raise the share of people who keep a garden.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:195", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people sleep eight hours affects whether they exercise daily and whether they keep a garden; whether they exercise daily also affects whether they keep a garden.\\n- 10% of people sleep eight hours.\\n- Among people who sleep eight hours, 10% exercise daily; among those who do not, 90% exercise daily.\\n- Among people who exercise daily and sleep eight hours, 50% keep a garden.\\n- Among people who exercise daily and do not sleep eight hours, 70% keep a garden.\\n- Among people who do not exercise daily and sleep eight hours, 10% keep a garden.\\n- Among people who do not exercise daily and do not sleep eight hours, 90% keep a garden.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who exercise daily are more likely to keep a garden than people who do not exercise daily.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to exercise daily would raise the share of people who keep a garden.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:197", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "{\"facts\": [\"Whether people eat breakfast affects whether they keep a garden and whether they drink coffee; whether they keep a garden also affects whether they drink coffee.\", \"90% of people eat breakfast.\", \"Among people who eat breakfast, 70% keep a garden; among those who do not, 10% keep a garden.\", \"Among people who keep a garden and eat breakfast, 10% drink coffee.\", \"Among people who keep a garden and do not eat breakfast, 70% drink coffee.\", \"Among people who do not keep a garden and eat breakfast, 40% drink coffee.\", \"Among people who do not keep a garden and do not eat breakfast, 10% drink coffee.\"]}", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who keep a garden are more likely to drink coffee than people who do not keep a garden.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to keep a garden would raise the share of people who drink coffee.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:221", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people drink coffee affects whether they own a dog and whether they work night shifts; whether they own a dog also affects whether they work night shifts.\\n- 20% of people drink coffee.\\n- Among people who drink coffee, 30% own a dog; among those who do not, 50% own a dog.\\n- Among people who own a dog and drink coffee, 90% work night shifts.\\n- Among people who own a dog and do not drink coffee, 30% work night shifts.\\n- Among people who do not own a dog and drink coffee, 70% work night shifts.\\n- Among people who do not own a dog and do not drink coffee, 30% work night shifts.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who own a dog are more likely to work night shifts than people who do not own a dog.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to own a dog would raise the share of people who work night shifts.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:232", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people keep a garden affects whether they work night shifts and whether they eat breakfast; whether they work night shifts also affects whether they eat breakfast.\\n- 80% of people keep a garden.\\n- Among people who keep a garden, 90% work night shifts; among those who do not, 90% work night shifts.\\n- Among people who work night shifts and keep a garden, 90% eat breakfast.\\n- Among people who work night shifts and do not keep a garden, 20% eat breakfast.\\n- Among people who do not work night shifts and keep a garden, 70% eat breakfast.\\n- Among people who do not work night shifts and do not keep a garden, 90% eat breakfast.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who work night shifts are more likely to eat breakfast than people who do not work night shifts.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to work night shifts would raise the share of people who eat breakfast.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:250", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people work night shifts affects whether they cycle to work and whether they eat breakfast; whether they cycle to work also affects whether they eat breakfast.\\n- 50% of people work night shifts.\\n- Among people who work night shifts, 30% cycle to work; among those who do not, 90% cycle to work.\\n- Among people who cycle to work and work night shifts, 10% eat breakfast.\\n- Among people who cycle to work and do not work night shifts, 90% eat breakfast.\\n- Among people who do not cycle to work and work night shifts, 60% eat breakfast.\\n- Among people who do not cycle to work and do not work night shifts, 60% eat breakfast.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who cycle to work are more likely to eat breakfast than people who do not cycle to work.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to cycle to work would raise the share of people who eat breakfast.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:259", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people work night shifts affects whether they own a dog and whether they live in a city; whether they own a dog also affects whether they live in a city.\\n- 10% of people work night shifts.\\n- Among people who work night shifts, 10% own a dog; among those who do not, 70% own a dog.\\n- Among people who own a dog and work night shifts, 90% live in a city.\\n- Among people who own a dog and do not work night shifts, 80% live in a city.\\n- Among people who do not own a dog and work night shifts, 60% live in a city.\\n- Among people who do not own a dog and do not work night shifts, 90% live in a city.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who own a dog are more likely to live in a city than people who do not own a dog.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to own a dog would raise the share of people who live in a city.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:267", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people own a dog affects whether they take vitamin D and whether they drink coffee; whether they take vitamin D also affects whether they drink coffee.\\n- 80% of people own a dog.\\n- Among people who own a dog, 90% take vitamin D; among those who do not, 60% take vitamin D.\\n- Among people who take vitamin D and own a dog, 20% drink coffee.\\n- Among people who take vitamin D and do not own a dog, 50% drink coffee.\\n- Among people who do not take vitamin D and own a dog, 10% drink coffee.\\n- Among people who do not take vitamin D and do not own a dog, 80% drink coffee.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who take vitamin D are more likely to drink coffee than people who do not take vitamin D.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to take vitamin D would raise the share of people who drink coffee.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:283", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people live in a city affects whether they use a standing desk and whether they work night shifts; whether they use a standing desk also affects whether they work night shifts.\\n- 40% of people live in a city.\\n- Among people who live in a city, 10% use a standing desk; among those who do not, 30% use a standing desk.\\n- Among people who use a standing desk and live in a city, 90% work night shifts.\\n- Among people who use a standing desk and do not live in a city, 80% work night shifts.\\n- Among people who do not use a standing desk and live in a city, 60% work night shifts.\\n- Among people who do not use a standing desk and do not live in a city, 40% work night shifts.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who use a standing desk are more likely to work night shifts than people who do not use a standing desk.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to use a standing desk would raise the share of people who work night shifts.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:308", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Whether people work night shifts affects whether they live in a city and whether they read before bed; whether they live in a city also affects whether they read before bed. 70% of people work night shifts. Among people who work night shifts, 50% live in a city; among those who do not, 90% live in a city. Among people who live in a city and work night shifts, 30% read before bed. Among people who live in a city and do not work night shifts, 90% read before bed. Among people who do not live in a city and work night shifts, 90% read before bed. Among people who do not live in a city and do not work night shifts, 20% read before bed.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who live in a city are more likely to read before bed than people who do not live in a city.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to live in a city would raise the share of people who read before bed.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:316", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Whether people work night shifts affects whether they take vitamin D and whether they keep a garden; whether they take vitamin D also affects whether they keep a garden. 10% of people work night shifts. Among people who work night shifts, 50% take vitamin D; among those who do not, 10% take vitamin D. Among people who take vitamin D and work night shifts, 20% keep a garden. Among people who take vitamin D and do not work night shifts, 90% keep a garden. Among people who do not take vitamin D and work night shifts, 80% keep a garden. Among people who do not take vitamin D and do not work night shifts, 70% keep a garden.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who take vitamin D are more likely to keep a garden than people who do not take vitamin D.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to take vitamin D would raise the share of people who keep a garden.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:350", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Whether people read before bed affects whether they keep a garden and whether they live in a city; whether they keep a garden also affects whether they live in a city. 60% of people read before bed. Among people who read before bed, 40% keep a garden; among those who do not, 80% keep a garden. Among people who keep a garden and read before bed, 30% live in a city. Among people who keep a garden and do not read before bed, 60% live in a city. Among people who do not keep a garden and read before bed, 30% live in a city. Among people who do not keep a garden and do not read before bed, 80% live in a city.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who keep a garden are more likely to live in a city than people who do not keep a garden.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to keep a garden would raise the share of people who live in a city.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:390", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "{\"facts\": [\"Whether people work night shifts affects whether they sleep eight hours and whether they eat breakfast; whether they sleep eight hours also affects whether they eat breakfast.\", \"10% of people work night shifts.\", \"Among people who work night shifts, 80% sleep eight hours; among those who do not, 10% sleep eight hours.\", \"Among people who sleep eight hours and work night shifts, 60% eat breakfast.\", \"Among people who sleep eight hours and do not work night shifts, 40% eat breakfast.\", \"Among people who do not sleep eight hours and work night shifts, 30% eat breakfast.\", \"Among people who do not sleep eight hours and do not work night shifts, 60% eat breakfast.\"]}", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who sleep eight hours are more likely to eat breakfast than people who do not sleep eight hours.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to sleep eight hours would raise the share of people who eat breakfast.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:393", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "{\"facts\": [\"Whether people read before bed affects whether they keep a garden and whether they use a standing desk; whether they keep a garden also affects whether they use a standing desk.\", \"20% of people read before bed.\", \"Among people who read before bed, 30% keep a garden; among those who do not, 10% keep a garden.\", \"Among people who keep a garden and read before bed, 20% use a standing desk.\", \"Among people who keep a garden and do not read before bed, 60% use a standing desk.\", \"Among people who do not keep a garden and read before bed, 90% use a standing desk.\", \"Among people who do not keep a garden and do not read before bed, 10% use a standing desk.\"]}", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who keep a garden are more likely to use a standing desk than people who do not keep a garden.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to keep a garden would raise the share of people who use a standing desk.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:406", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "{\"facts\": [\"Whether people drink coffee affects whether they use a standing desk and whether they read before bed; whether they use a standing desk also affects whether they read before bed.\", \"80% of people drink coffee.\", \"Among people who drink coffee, 60% use a standing desk; among those who do not, 90% use a standing desk.\", \"Among people who use a standing desk and drink coffee, 10% read before bed.\", \"Among people who use a standing desk and do not drink coffee, 50% read before bed.\", \"Among people who do not use a standing desk and drink coffee, 10% read before bed.\", \"Among people who do not use a standing desk and do not drink coffee, 30% read before bed.\"]}", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who use a standing desk are more likely to read before bed than people who do not use a standing desk.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to use a standing desk would raise the share of people who read before bed.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:434", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Whether people drink coffee affects whether they exercise daily and whether they own a dog; whether they exercise daily also affects whether they own a dog. 10% of people drink coffee. Among people who drink coffee, 60% exercise daily; among those who do not, 10% exercise daily. Among people who exercise daily and drink coffee, 30% own a dog. Among people who exercise daily and do not drink coffee, 50% own a dog. Among people who do not exercise daily and drink coffee, 60% own a dog. Among people who do not exercise daily and do not drink coffee, 30% own a dog.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who exercise daily are more likely to own a dog than people who do not exercise daily.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to exercise daily would raise the share of people who own a dog.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:449", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Whether people eat breakfast affects whether they use a standing desk and whether they keep a garden; whether they use a standing desk also affects whether they keep a garden. 70% of people eat breakfast. Among people who eat breakfast, 50% use a standing desk; among those who do not, 90% use a standing desk. Among people who use a standing desk and eat breakfast, 80% keep a garden. Among people who use a standing desk and do not eat breakfast, 30% keep a garden. Among people who do not use a standing desk and eat breakfast, 40% keep a garden. Among people who do not use a standing desk and do not eat breakfast, 10% keep a garden.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who use a standing desk are more likely to keep a garden than people who do not use a standing desk.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to use a standing desk would raise the share of people who keep a garden.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:466", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people drink coffee affects whether they eat breakfast and whether they keep a garden; whether they eat breakfast also affects whether they keep a garden.\\n- 80% of people drink coffee.\\n- Among people who drink coffee, 60% eat breakfast; among those who do not, 10% eat breakfast.\\n- Among people who eat breakfast and drink coffee, 50% keep a garden.\\n- Among people who eat breakfast and do not drink coffee, 30% keep a garden.\\n- Among people who do not eat breakfast and drink coffee, 60% keep a garden.\\n- Among people who do not eat breakfast and do not drink coffee, 10% keep a garden.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who eat breakfast are more likely to keep a garden than people who do not eat breakfast.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to eat breakfast would raise the share of people who keep a garden.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:481", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Whether people read before bed affects whether they eat breakfast and whether they cycle to work; whether they eat breakfast also affects whether they cycle to work. 10% of people read before bed. Among people who read before bed, 20% eat breakfast; among those who do not, 70% eat breakfast. Among people who eat breakfast and read before bed, 80% cycle to work. Among people who eat breakfast and do not read before bed, 10% cycle to work. Among people who do not eat breakfast and read before bed, 20% cycle to work. Among people who do not eat breakfast and do not read before bed, 20% cycle to work.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who eat breakfast are more likely to cycle to work than people who do not eat breakfast.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to eat breakfast would raise the share of people who cycle to work.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:490", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Whether people own a dog affects whether they drink coffee and whether they live in a city; whether they drink coffee also affects whether they live in a city. 20% of people own a dog. Among people who own a dog, 20% drink coffee; among those who do not, 80% drink coffee. Among people who drink coffee and own a dog, 70% live in a city. Among people who drink coffee and do not own a dog, 50% live in a city. Among people who do not drink coffee and own a dog, 10% live in a city. Among people who do not drink coffee and do not own a dog, 80% live in a city.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who drink coffee are more likely to live in a city than people who do not drink coffee.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to drink coffee would raise the share of people who live in a city.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:492", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "{\"facts\": [\"Whether people own a dog affects whether they sleep eight hours and whether they keep a garden; whether they sleep eight hours also affects whether they keep a garden.\", \"80% of people own a dog.\", \"Among people who own a dog, 10% sleep eight hours; among those who do not, 70% sleep eight hours.\", \"Among people who sleep eight hours and own a dog, 40% keep a garden.\", \"Among people who sleep eight hours and do not own a dog, 10% keep a garden.\", \"Among people who do not sleep eight hours and own a dog, 30% keep a garden.\", \"Among people who do not sleep eight hours and do not own a dog, 40% keep a garden.\"]}", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who sleep eight hours are more likely to keep a garden than people who do not sleep eight hours.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to sleep eight hours would raise the share of people who keep a garden.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:587", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "{\"facts\": [\"Whether people eat breakfast affects whether they sleep eight hours and whether they exercise daily; whether they sleep eight hours also affects whether they exercise daily.\", \"20% of people eat breakfast.\", \"Among people who eat breakfast, 50% sleep eight hours; among those who do not, 90% sleep eight hours.\", \"Among people who sleep eight hours and eat breakfast, 40% exercise daily.\", \"Among people who sleep eight hours and do not eat breakfast, 80% exercise daily.\", \"Among people who do not sleep eight hours and eat breakfast, 10% exercise daily.\", \"Among people who do not sleep eight hours and do not eat breakfast, 10% exercise daily.\"]}", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who sleep eight hours are more likely to exercise daily than people who do not sleep eight hours.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to sleep eight hours would raise the share of people who exercise daily.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:601", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Whether people own a dog affects whether they read before bed and whether they live in a city; whether they read before bed also affects whether they live in a city. 80% of people own a dog. Among people who own a dog, 90% read before bed; among those who do not, 20% read before bed. Among people who read before bed and own a dog, 20% live in a city. Among people who read before bed and do not own a dog, 20% live in a city. Among people who do not read before bed and own a dog, 10% live in a city. Among people who do not read before bed and do not own a dog, 50% live in a city.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who read before bed are more likely to live in a city than people who do not read before bed.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to read before bed would raise the share of people who live in a city.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:610", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "{\"facts\": [\"Whether people exercise daily affects whether they use a standing desk and whether they live in a city; whether they use a standing desk also affects whether they live in a city.\", \"90% of people exercise daily.\", \"Among people who exercise daily, 10% use a standing desk; among those who do not, 90% use a standing desk.\", \"Among people who use a standing desk and exercise daily, 30% live in a city.\", \"Among people who use a standing desk and do not exercise daily, 80% live in a city.\", \"Among people who do not use a standing desk and exercise daily, 50% live in a city.\", \"Among people who do not use a standing desk and do not exercise daily, 50% live in a city.\"]}", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who use a standing desk are more likely to live in a city than people who do not use a standing desk.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to use a standing desk would raise the share of people who live in a city.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:634", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Whether people live in a city affects whether they keep a garden and whether they drink coffee; whether they keep a garden also affects whether they drink coffee. 20% of people live in a city. Among people who live in a city, 70% keep a garden; among those who do not, 80% keep a garden. Among people who keep a garden and live in a city, 70% drink coffee. Among people who keep a garden and do not live in a city, 50% drink coffee. Among people who do not keep a garden and live in a city, 60% drink coffee. Among people who do not keep a garden and do not live in a city, 20% drink coffee.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who keep a garden are more likely to drink coffee than people who do not keep a garden.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to keep a garden would raise the share of people who drink coffee.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:635", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Whether people cycle to work affects whether they live in a city and whether they drink coffee; whether they live in a city also affects whether they drink coffee. 60% of people cycle to work. Among people who cycle to work, 80% live in a city; among those who do not, 60% live in a city. Among people who live in a city and cycle to work, 20% drink coffee. Among people who live in a city and do not cycle to work, 70% drink coffee. Among people who do not live in a city and cycle to work, 50% drink coffee. Among people who do not live in a city and do not cycle to work, 10% drink coffee.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who live in a city are more likely to drink coffee than people who do not live in a city.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to live in a city would raise the share of people who drink coffee.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:639", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Whether people sleep eight hours affects whether they work night shifts and whether they own a dog; whether they work night shifts also affects whether they own a dog. 50% of people sleep eight hours. Among people who sleep eight hours, 40% work night shifts; among those who do not, 10% work night shifts. Among people who work night shifts and sleep eight hours, 20% own a dog. Among people who work night shifts and do not sleep eight hours, 90% own a dog. Among people who do not work night shifts and sleep eight hours, 30% own a dog. Among people who do not work night shifts and do not sleep eight hours, 70% own a dog.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who work night shifts are more likely to own a dog than people who do not work night shifts.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to work night shifts would raise the share of people who own a dog.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:647", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people keep a garden affects whether they take vitamin D and whether they exercise daily; whether they take vitamin D also affects whether they exercise daily.\\n- 40% of people keep a garden.\\n- Among people who keep a garden, 90% take vitamin D; among those who do not, 60% take vitamin D.\\n- Among people who take vitamin D and keep a garden, 40% exercise daily.\\n- Among people who take vitamin D and do not keep a garden, 80% exercise daily.\\n- Among people who do not take vitamin D and keep a garden, 30% exercise daily.\\n- Among people who do not take vitamin D and do not keep a garden, 20% exercise daily.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who take vitamin D are more likely to exercise daily than people who do not take vitamin D.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to take vitamin D would raise the share of people who exercise daily.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:649", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Whether people drink coffee affects whether they read before bed and whether they eat breakfast; whether they read before bed also affects whether they eat breakfast. 80% of people drink coffee. Among people who drink coffee, 80% read before bed; among those who do not, 30% read before bed. Among people who read before bed and drink coffee, 50% eat breakfast. Among people who read before bed and do not drink coffee, 20% eat breakfast. Among people who do not read before bed and drink coffee, 30% eat breakfast. Among people who do not read before bed and do not drink coffee, 80% eat breakfast.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who read before bed are more likely to eat breakfast than people who do not read before bed.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to read before bed would raise the share of people who eat breakfast.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:650", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people work night shifts affects whether they sleep eight hours and whether they live in a city; whether they sleep eight hours also affects whether they live in a city.\\n- 40% of people work night shifts.\\n- Among people who work night shifts, 90% sleep eight hours; among those who do not, 40% sleep eight hours.\\n- Among people who sleep eight hours and work night shifts, 30% live in a city.\\n- Among people who sleep eight hours and do not work night shifts, 80% live in a city.\\n- Among people who do not sleep eight hours and work night shifts, 10% live in a city.\\n- Among people who do not sleep eight hours and do not work night shifts, 70% live in a city.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who sleep eight hours are more likely to live in a city than people who do not sleep eight hours.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to sleep eight hours would raise the share of people who live in a city.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:677", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people drink coffee affects whether they cycle to work and whether they own a dog; whether they cycle to work also affects whether they own a dog.\\n- 70% of people drink coffee.\\n- Among people who drink coffee, 30% cycle to work; among those who do not, 80% cycle to work.\\n- Among people who cycle to work and drink coffee, 10% own a dog.\\n- Among people who cycle to work and do not drink coffee, 40% own a dog.\\n- Among people who do not cycle to work and drink coffee, 10% own a dog.\\n- Among people who do not cycle to work and do not drink coffee, 60% own a dog.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who cycle to work are more likely to own a dog than people who do not cycle to work.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to cycle to work would raise the share of people who own a dog.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:678", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people cycle to work affects whether they read before bed and whether they use a standing desk; whether they read before bed also affects whether they use a standing desk.\\n- 30% of people cycle to work.\\n- Among people who cycle to work, 50% read before bed; among those who do not, 10% read before bed.\\n- Among people who read before bed and cycle to work, 80% use a standing desk.\\n- Among people who read before bed and do not cycle to work, 60% use a standing desk.\\n- Among people who do not read before bed and cycle to work, 20% use a standing desk.\\n- Among people who do not read before bed and do not cycle to work, 90% use a standing desk.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who read before bed are more likely to use a standing desk than people who do not read before bed.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to read before bed would raise the share of people who use a standing desk.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:686", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people eat breakfast affects whether they work night shifts and whether they drink coffee; whether they work night shifts also affects whether they drink coffee.\\n- 30% of people eat breakfast.\\n- Among people who eat breakfast, 20% work night shifts; among those who do not, 60% work night shifts.\\n- Among people who work night shifts and eat breakfast, 70% drink coffee.\\n- Among people who work night shifts and do not eat breakfast, 50% drink coffee.\\n- Among people who do not work night shifts and eat breakfast, 90% drink coffee.\\n- Among people who do not work night shifts and do not eat breakfast, 90% drink coffee.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who work night shifts are more likely to drink coffee than people who do not work night shifts.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to work night shifts would raise the share of people who drink coffee.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:693", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people work night shifts affects whether they exercise daily and whether they live in a city; whether they exercise daily also affects whether they live in a city.\\n- 20% of people work night shifts.\\n- Among people who work night shifts, 80% exercise daily; among those who do not, 30% exercise daily.\\n- Among people who exercise daily and work night shifts, 20% live in a city.\\n- Among people who exercise daily and do not work night shifts, 40% live in a city.\\n- Among people who do not exercise daily and work night shifts, 30% live in a city.\\n- Among people who do not exercise daily and do not work night shifts, 80% live in a city.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who exercise daily are more likely to live in a city than people who do not exercise daily.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to exercise daily would raise the share of people who live in a city.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:706", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people work night shifts affects whether they eat breakfast and whether they sleep eight hours; whether they eat breakfast also affects whether they sleep eight hours.\\n- 60% of people work night shifts.\\n- Among people who work night shifts, 10% eat breakfast; among those who do not, 70% eat breakfast.\\n- Among people who eat breakfast and work night shifts, 90% sleep eight hours.\\n- Among people who eat breakfast and do not work night shifts, 20% sleep eight hours.\\n- Among people who do not eat breakfast and work night shifts, 40% sleep eight hours.\\n- Among people who do not eat breakfast and do not work night shifts, 90% sleep eight hours.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who eat breakfast are more likely to sleep eight hours than people who do not eat breakfast.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to eat breakfast would raise the share of people who sleep eight hours.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:712", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Whether people use a standing desk affects whether they own a dog and whether they read before bed; whether they own a dog also affects whether they read before bed. 70% of people use a standing desk. Among people who use a standing desk, 30% own a dog; among those who do not, 40% own a dog. Among people who own a dog and use a standing desk, 20% read before bed. Among people who own a dog and do not use a standing desk, 50% read before bed. Among people who do not own a dog and use a standing desk, 40% read before bed. Among people who do not own a dog and do not use a standing desk, 20% read before bed.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who own a dog are more likely to read before bed than people who do not own a dog.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to own a dog would raise the share of people who read before bed.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:722", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Whether people use a standing desk affects whether they drink coffee and whether they eat breakfast; whether they drink coffee also affects whether they eat breakfast. 70% of people use a standing desk. Among people who use a standing desk, 40% drink coffee; among those who do not, 70% drink coffee. Among people who drink coffee and use a standing desk, 60% eat breakfast. Among people who drink coffee and do not use a standing desk, 40% eat breakfast. Among people who do not drink coffee and use a standing desk, 90% eat breakfast. Among people who do not drink coffee and do not use a standing desk, 50% eat breakfast.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who drink coffee are more likely to eat breakfast than people who do not drink coffee.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to drink coffee would raise the share of people who eat breakfast.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:733", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people own a dog affects whether they read before bed and whether they use a standing desk; whether they read before bed also affects whether they use a standing desk.\\n- 80% of people own a dog.\\n- Among people who own a dog, 90% read before bed; among those who do not, 30% read before bed.\\n- Among people who read before bed and own a dog, 10% use a standing desk.\\n- Among people who read before bed and do not own a dog, 50% use a standing desk.\\n- Among people who do not read before bed and own a dog, 20% use a standing desk.\\n- Among people who do not read before bed and do not own a dog, 20% use a standing desk.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who read before bed are more likely to use a standing desk than people who do not read before bed.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to read before bed would raise the share of people who use a standing desk.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:739", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Whether people live in a city affects whether they cycle to work and whether they eat breakfast; whether they cycle to work also affects whether they eat breakfast. 80% of people live in a city. Among people who live in a city, 60% cycle to work; among those who do not, 90% cycle to work. Among people who cycle to work and live in a city, 70% eat breakfast. Among people who cycle to work and do not live in a city, 80% eat breakfast. Among people who do not cycle to work and live in a city, 50% eat breakfast. Among people who do not cycle to work and do not live in a city, 20% eat breakfast.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who cycle to work are more likely to eat breakfast than people who do not cycle to work.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to cycle to work would raise the share of people who eat breakfast.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:753", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people keep a garden affects whether they read before bed and whether they drink coffee; whether they read before bed also affects whether they drink coffee.\\n- 30% of people keep a garden.\\n- Among people who keep a garden, 20% read before bed; among those who do not, 40% read before bed.\\n- Among people who read before bed and keep a garden, 60% drink coffee.\\n- Among people who read before bed and do not keep a garden, 10% drink coffee.\\n- Among people who do not read before bed and keep a garden, 10% drink coffee.\\n- Among people who do not read before bed and do not keep a garden, 40% drink coffee.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who read before bed are more likely to drink coffee than people who do not read before bed.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to read before bed would raise the share of people who drink coffee.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:759", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "{\"facts\": [\"Whether people work night shifts affects whether they cycle to work and whether they keep a garden; whether they cycle to work also affects whether they keep a garden.\", \"80% of people work night shifts.\", \"Among people who work night shifts, 90% cycle to work; among those who do not, 80% cycle to work.\", \"Among people who cycle to work and work night shifts, 70% keep a garden.\", \"Among people who cycle to work and do not work night shifts, 90% keep a garden.\", \"Among people who do not cycle to work and work night shifts, 90% keep a garden.\", \"Among people who do not cycle to work and do not work night shifts, 30% keep a garden.\"]}", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who cycle to work are more likely to keep a garden than people who do not cycle to work.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to cycle to work would raise the share of people who keep a garden.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:826", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Whether people keep a garden affects whether they cycle to work and whether they take vitamin D; whether they cycle to work also affects whether they take vitamin D. 80% of people keep a garden. Among people who keep a garden, 10% cycle to work; among those who do not, 80% cycle to work. Among people who cycle to work and keep a garden, 10% take vitamin D. Among people who cycle to work and do not keep a garden, 20% take vitamin D. Among people who do not cycle to work and keep a garden, 10% take vitamin D. Among people who do not cycle to work and do not keep a garden, 50% take vitamin D.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who cycle to work are more likely to take vitamin D than people who do not cycle to work.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to cycle to work would raise the share of people who take vitamin D.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:828", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people cycle to work affects whether they keep a garden and whether they take vitamin D; whether they keep a garden also affects whether they take vitamin D.\\n- 80% of people cycle to work.\\n- Among people who cycle to work, 20% keep a garden; among those who do not, 90% keep a garden.\\n- Among people who keep a garden and cycle to work, 90% take vitamin D.\\n- Among people who keep a garden and do not cycle to work, 40% take vitamin D.\\n- Among people who do not keep a garden and cycle to work, 70% take vitamin D.\\n- Among people who do not keep a garden and do not cycle to work, 70% take vitamin D.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who keep a garden are more likely to take vitamin D than people who do not keep a garden.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to keep a garden would raise the share of people who take vitamin D.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:831", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people exercise daily affects whether they cycle to work and whether they sleep eight hours; whether they cycle to work also affects whether they sleep eight hours.\\n- 80% of people exercise daily.\\n- Among people who exercise daily, 50% cycle to work; among those who do not, 80% cycle to work.\\n- Among people who cycle to work and exercise daily, 80% sleep eight hours.\\n- Among people who cycle to work and do not exercise daily, 20% sleep eight hours.\\n- Among people who do not cycle to work and exercise daily, 70% sleep eight hours.\\n- Among people who do not cycle to work and do not exercise daily, 50% sleep eight hours.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who cycle to work are more likely to sleep eight hours than people who do not cycle to work.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to cycle to work would raise the share of people who sleep eight hours.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:832", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "{\"facts\": [\"Whether people read before bed affects whether they sleep eight hours and whether they work night shifts; whether they sleep eight hours also affects whether they work night shifts.\", \"30% of people read before bed.\", \"Among people who read before bed, 40% sleep eight hours; among those who do not, 90% sleep eight hours.\", \"Among people who sleep eight hours and read before bed, 70% work night shifts.\", \"Among people who sleep eight hours and do not read before bed, 50% work night shifts.\", \"Among people who do not sleep eight hours and read before bed, 60% work night shifts.\", \"Among people who do not sleep eight hours and do not read before bed, 90% work night shifts.\"]}", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who sleep eight hours are more likely to work night shifts than people who do not sleep eight hours.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to sleep eight hours would raise the share of people who work night shifts.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:836", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people keep a garden affects whether they work night shifts and whether they cycle to work; whether they work night shifts also affects whether they cycle to work.\\n- 30% of people keep a garden.\\n- Among people who keep a garden, 10% work night shifts; among those who do not, 20% work night shifts.\\n- Among people who work night shifts and keep a garden, 70% cycle to work.\\n- Among people who work night shifts and do not keep a garden, 60% cycle to work.\\n- Among people who do not work night shifts and keep a garden, 20% cycle to work.\\n- Among people who do not work night shifts and do not keep a garden, 10% cycle to work.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who work night shifts are more likely to cycle to work than people who do not work night shifts.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to work night shifts would raise the share of people who cycle to work.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:844", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people work night shifts affects whether they take vitamin D and whether they own a dog; whether they take vitamin D also affects whether they own a dog.\\n- 80% of people work night shifts.\\n- Among people who work night shifts, 90% take vitamin D; among those who do not, 50% take vitamin D.\\n- Among people who take vitamin D and work night shifts, 50% own a dog.\\n- Among people who take vitamin D and do not work night shifts, 10% own a dog.\\n- Among people who do not take vitamin D and work night shifts, 70% own a dog.\\n- Among people who do not take vitamin D and do not work night shifts, 20% own a dog.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who take vitamin D are more likely to own a dog than people who do not take vitamin D.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to take vitamin D would raise the share of people who own a dog.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:853", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people work night shifts affects whether they keep a garden and whether they own a dog; whether they keep a garden also affects whether they own a dog.\\n- 90% of people work night shifts.\\n- Among people who work night shifts, 30% keep a garden; among those who do not, 10% keep a garden.\\n- Among people who keep a garden and work night shifts, 20% own a dog.\\n- Among people who keep a garden and do not work night shifts, 70% own a dog.\\n- Among people who do not keep a garden and work night shifts, 60% own a dog.\\n- Among people who do not keep a garden and do not work night shifts, 10% own a dog.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who keep a garden are more likely to own a dog than people who do not keep a garden.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to keep a garden would raise the share of people who own a dog.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}
-{"id": "gen_causal:895", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Whether people eat breakfast affects whether they exercise daily and whether they keep a garden; whether they exercise daily also affects whether they keep a garden. 20% of people eat breakfast. Among people who eat breakfast, 20% exercise daily; among those who do not, 80% exercise daily. Among people who exercise daily and eat breakfast, 10% keep a garden. Among people who exercise daily and do not eat breakfast, 50% keep a garden. Among people who do not exercise daily and eat breakfast, 70% keep a garden. Among people who do not exercise daily and do not eat breakfast, 30% keep a garden.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who exercise daily are more likely to keep a garden than people who do not exercise daily.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to exercise daily would raise the share of people who keep a garden.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:898", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people live in a city affects whether they take vitamin D and whether they keep a garden; whether they take vitamin D also affects whether they keep a garden.\\n- 10% of people live in a city.\\n- Among people who live in a city, 70% take vitamin D; among those who do not, 10% take vitamin D.\\n- Among people who take vitamin D and live in a city, 30% keep a garden.\\n- Among people who take vitamin D and do not live in a city, 80% keep a garden.\\n- Among people who do not take vitamin D and live in a city, 80% keep a garden.\\n- Among people who do not take vitamin D and do not live in a city, 40% keep a garden.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who take vitamin D are more likely to keep a garden than people who do not take vitamin D.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to take vitamin D would raise the share of people who keep a garden.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:901", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people read before bed affects whether they use a standing desk and whether they cycle to work; whether they use a standing desk also affects whether they cycle to work.\\n- 90% of people read before bed.\\n- Among people who read before bed, 70% use a standing desk; among those who do not, 20% use a standing desk.\\n- Among people who use a standing desk and read before bed, 70% cycle to work.\\n- Among people who use a standing desk and do not read before bed, 30% cycle to work.\\n- Among people who do not use a standing desk and read before bed, 80% cycle to work.\\n- Among people who do not use a standing desk and do not read before bed, 10% cycle to work.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who use a standing desk are more likely to cycle to work than people who do not use a standing desk.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to use a standing desk would raise the share of people who cycle to work.\"}}", "gold": "{\"assoc\": \"yes\", \"effect\": \"no\"}"}
-{"id": "gen_causal:977", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people keep a garden affects whether they own a dog and whether they take vitamin D; whether they own a dog also affects whether they take vitamin D.\\n- 50% of people keep a garden.\\n- Among people who keep a garden, 70% own a dog; among those who do not, 90% own a dog.\\n- Among people who own a dog and keep a garden, 50% take vitamin D.\\n- Among people who own a dog and do not keep a garden, 10% take vitamin D.\\n- Among people who do not own a dog and keep a garden, 40% take vitamin D.\\n- Among people who do not own a dog and do not keep a garden, 10% take vitamin D.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who own a dog are more likely to take vitamin D than people who do not own a dog.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to own a dog would raise the share of people who take vitamin D.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"yes\"}"}
-{"id": "gen_causal:994", "source": "gen_causal", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Survey results:\\n- Whether people live in a city affects whether they cycle to work and whether they sleep eight hours; whether they cycle to work also affects whether they sleep eight hours.\\n- 10% of people live in a city.\\n- Among people who live in a city, 40% cycle to work; among those who do not, 70% cycle to work.\\n- Among people who cycle to work and live in a city, 70% sleep eight hours.\\n- Among people who cycle to work and do not live in a city, 50% sleep eight hours.\\n- Among people who do not cycle to work and live in a city, 30% sleep eight hours.\\n- Among people who do not cycle to work and do not live in a city, 80% sleep eight hours.\"", "questions": "{\"assoc\": {\"type\": \"noul\", \"instructions\": \"People who cycle to work are more likely to sleep eight hours than people who do not cycle to work.\"}, \"effect\": {\"type\": \"noul\", \"instructions\": \"Getting people to cycle to work would raise the share of people who sleep eight hours.\"}}", "gold": "{\"assoc\": \"no\", \"effect\": \"no\"}"}

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data/gen_code/test.jsonl

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-{"id": "gen_code:1004", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def shrink(n, limit):\\n    steps = 0\\n    while n > limit:\\n        n = n // 2\\n        steps += 1\\n    return steps\\n\\nresult = shrink(96138, 4)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_76bd\": \"12\", \"k_93e1\": \"15\", \"k_7163\": \"17\", \"k_a4b3\": \"11\"}}}", "gold": "{\"output\": \"k_93e1\"}"}
-{"id": "gen_code:1005", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def shrink(n, limit):\\n    steps = 0\\n    while n > limit:\\n        n = n * 2 // 3\\n        steps += 1\\n    return steps\\n\\nresult = shrink(564, 6)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_989f\": \"35\", \"k_275f\": \"11\", \"k_2c19\": \"6\", \"k_9d70\": \"34\"}}}", "gold": "{\"output\": \"k_275f\"}"}
-{"id": "gen_code:1006", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def shrink(n, limit):\\n    steps = 0\\n    while n > limit:\\n        n = n - 3\\n        steps += 1\\n    return steps\\n\\nresult = shrink(1901, 9)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_c7e1\": \"40\", \"k_ed76\": \"28743\", \"k_573b\": \"631\", \"k_9243\": \"33\", \"none_of_these\": \"None of the other options is correct.\"}}}", "gold": "{\"output\": \"k_573b\"}"}
-{"id": "gen_code:1007", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def shrink(n, limit):\\n    steps = 0\\n    while n > limit:\\n        n = n // 2\\n        steps += 1\\n    return steps\\n\\nresult = shrink(9433, 4)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_12a3\": \"16\", \"k_40b8\": \"10\", \"k_310c\": \"5\", \"k_21e4\": \"11\"}}}", "gold": "{\"output\": \"k_21e4\"}"}
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-{"id": "gen_code:7", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def blend(first, second):\\n    return [a * b for a, b in zip(first, reversed(second))]\\n\\nresult = blend([9, 2, 2, 2, 8], [1, 1, 2, 5, 5])\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_62da\": \"[45, 5, 16, 4, 2]\", \"k_ff88\": \"[45, 10, 4, 2, 8]\", \"k_d19e\": \"[72, 10, 10, 2, 2]\", \"k_3990\": \"[25, 18, 16, 2, 2]\"}}}", "gold": "{\"output\": \"k_ff88\"}"}
-{"id": "gen_code:11", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def window(values, size):\\n    return [max(values[i:i + size]) for i in range(len(values) - size + 1)]\\n\\nresult = window([0, 7, 9, 9, 1, 1, 8, 9], 2)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_d27c\": \"[7, 9, 9, 9, 8, 9, 9]\", \"k_5f2d\": \"[7, 9, 9, 9, 1, 8, 9]\", \"k_a703\": \"[9, 7, 9, 9, 8, 1, 9]\", \"k_1e07\": \"[7, 9, 9, 9, 9, 8, 1]\"}}}", "gold": "{\"output\": \"k_5f2d\"}"}
-{"id": "gen_code:14", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def tally(counts, floor):\\n    return sorted(k for k, v in counts.items() if v < floor)\\n\\nresult = tally({'czy': 1, 'vre': 4, 'oeivb': 1, 'iipng': 2, 'bxy': 2, 'ogv': 8}, 4)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_9dc3\": \"['czy', 'iipng', 'oeivb', 'vre']\", \"k_41df\": \"['iipng', 'oeivb', 'ogv', 'vre']\", \"k_5170\": \"['bxy', 'czy', 'iipng', 'oeivb']\", \"k_fe0b\": \"['bxy', 'iipng', 'oeivb', 'vre']\"}}}", "gold": "{\"output\": \"k_5170\"}"}
-{"id": "gen_code:20", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def blend(first, second):\\n    return [a + b for a, b in zip(first, second)]\\n\\nresult = blend([7, 4, 6, 3, 3, 6], [1, 6, 9, 2, 7, 6])\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_bee1\": \"[8, 10, 15, 5, 10, 12]\", \"k_d4f2\": \"[5, 13, 12, 5, 10, 15]\", \"k_b232\": \"[5, 13, 15, 5, 9, 13]\", \"k_bb61\": \"[4, 13, 15, 5, 11, 12]\"}}}", "gold": "{\"output\": \"k_bee1\"}"}
-{"id": "gen_code:33", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def window(values, size):\\n    return [sum(values[i:i + size]) for i in range(len(values) - size)]\\n\\nresult = window([1, 4, 0, 9, 4, 1, 0], 3)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_f8fa\": \"[5, 13, 13, 14]\", \"k_501a\": \"[14, 13, 13, 4]\", \"k_f3bf\": \"[10, 9, 13, 5]\", \"k_149b\": \"[14, 13, 10, 5]\"}}}", "gold": "{\"output\": \"k_f8fa\"}"}
-{"id": "gen_code:51", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def sweep(values, start):\\n    total = start\\n    for v in values:\\n        total = total * 2 - v\\n    return total\\n\\nresult = sweep([3, 4, 6, 10, 9, 17], 15)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_c6e0\": \"193\", \"k_6dd8\": \"601\", \"k_2e46\": \"476\", \"k_6f63\": \"677\"}}}", "gold": "{\"output\": \"k_6f63\"}"}
-{"id": "gen_code:91", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def sweep(values, start):\\n    total = start\\n    for v in values:\\n        total = total * 2 - v\\n    return total\\n\\nresult = sweep([14, 1, 11, 15], 6)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_ef5a\": \"-8\", \"k_a484\": \"-79\", \"k_746d\": \"-91\", \"k_b020\": \"-57\"}}}", "gold": "{\"output\": \"k_b020\"}"}
-{"id": "gen_code:101", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def window(values, size):\\n    return [sum(values[i:i + size]) for i in range(len(values) - size + 1)]\\n\\nresult = window([8, 4, 6, 1, 7, 2, 6, 2, 1], 2)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_5c36\": \"[12, 14, 7, 3, 8, 8, 3, 8]\", \"k_4462\": \"[12, 10, 12, 8, 3, 3, 3, 8]\", \"k_0596\": \"[9, 7, 7, 3, 8, 8, 6, 11]\", \"k_9eac\": \"[12, 10, 7, 8, 9, 8, 8, 3]\"}}}", "gold": "{\"output\": \"k_9eac\"}"}
-{"id": "gen_code:113", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def tally(counts, floor):\\n    return sorted(k for k, v in counts.items() if v != floor)\\n\\nresult = tally({'bxus': 1, 'psv': 0, 'arc': 1, 'lqhij': 4, 'rhdt': 5, 'rtu': 0}, 1)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_cced\": \"['bxus', 'lqhij', 'psv', 'rhdt']\", \"k_99a9\": \"['arc', 'bxus', 'psv', 'rhdt']\", \"k_cbce\": \"['arc', 'bxus', 'lqhij', 'rhdt']\", \"k_2119\": \"['lqhij', 'psv', 'rhdt', 'rtu']\"}}}", "gold": "{\"output\": \"k_2119\"}"}
-{"id": "gen_code:117", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def window(values, size):\\n    return [max(values[i:i + size]) for i in range(len(values) - size + 1)]\\n\\nresult = window([8, 4, 3, 0, 7, 3, 9], 3)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_f6bd\": \"[9, 8, 4, 7, 7]\", \"k_5130\": \"[8, 8, 8, 9, 9]\", \"k_f5ed\": \"[8, 4, 7, 7, 9]\", \"k_8c89\": \"[4, 8, 8, 9, 9]\"}}}", "gold": "{\"output\": \"k_f5ed\"}"}
-{"id": "gen_code:153", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def tally(counts, floor):\\n    return sorted(k for k, v in counts.items() if v > floor)\\n\\nresult = tally({'gktz': 2, 'zvliv': 1, 'szw': 2, 'pim': 8, 'xapz': 0, 'clep': 0}, 0)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_6232\": \"['clep', 'gktz', 'szw', 'xapz']\", \"k_0bd2\": \"['clep', 'pim', 'szw', 'xapz']\", \"k_9149\": \"['gktz', 'pim', 'szw', 'zvliv']\", \"k_7767\": \"['gktz', 'pim', 'szw', 'xapz']\"}}}", "gold": "{\"output\": \"k_9149\"}"}
-{"id": "gen_code:166", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def tally(counts, floor):\\n    return sorted(k for k, v in counts.items() if v >= floor)\\n\\nresult = tally({'elx': 4, 'goexq': 8, 'yty': 1, 'fly': 3, 'njo': 1, 'mvmn': 8}, 8)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_b3b0\": \"['goexq', 'mvmn']\", \"k_9427\": \"['mvmn', 'yty']\", \"k_9173\": \"['fly', 'mvmn']\", \"k_0230\": \"['elx', 'mvmn']\"}}}", "gold": "{\"output\": \"k_b3b0\"}"}
-{"id": "gen_code:188", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def blend(first, second):\\n    return [max(a, b) for a, b in zip(first, second)]\\n\\nresult = blend([5, 5, 9, 9, 2, 7], [6, 9, 7, 5, 6, 1])\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_3c72\": \"[6, 9, 9, 6, 9, 7]\", \"k_ed83\": \"[6, 9, 9, 9, 6, 7]\", \"k_57ac\": \"[6, 9, 9, 9, 5, 7]\", \"k_b969\": \"[7, 9, 9, 9, 5, 7]\"}}}", "gold": "{\"output\": \"k_ed83\"}"}
-{"id": "gen_code:191", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def tally(counts, floor):\\n    return sorted(k for k, v in counts.items() if v < floor)\\n\\nresult = tally({'dkme': 8, 'ypw': 3, 'rqwrq': 6, 'vkvo': 8, 'flvds': 0, 'faec': 8}, 8)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_c106\": \"['dkme', 'faec', 'flvds']\", \"k_e595\": \"['faec', 'flvds', 'ypw']\", \"k_e9ef\": \"['flvds', 'vkvo', 'ypw']\", \"k_0598\": \"['flvds', 'rqwrq', 'ypw']\"}}}", "gold": "{\"output\": \"k_0598\"}"}
-{"id": "gen_code:229", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def tally(counts, floor):\\n    return sorted(k for k, v in counts.items() if v >= floor)\\n\\nresult = tally({'oyegm': 7, 'zrri': 5, 'alz': 4, 'djl': 1, 'niir': 3, 'bkrz': 1}, 4)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_d26a\": \"['bkrz', 'djl', 'zrri']\", \"k_14a3\": \"['djl', 'oyegm', 'zrri']\", \"k_747c\": \"['bkrz', 'oyegm', 'zrri']\", \"none_of_these\": \"None of the other options is correct.\"}}}", "gold": "{\"output\": \"none_of_these\"}"}
-{"id": "gen_code:234", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def blend(first, second):\\n    return [max(a, b) for a, b in zip(first, second)]\\n\\nresult = blend([8, 3, 4, 4], [4, 9, 4, 8])\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_ab71\": \"[8, 9, 4, 8]\", \"k_a038\": \"[4, 9, 8, 4]\", \"k_0da5\": \"[8, 4, 9, 4]\", \"k_9afa\": \"[8, 9, 8, 4]\"}}}", "gold": "{\"output\": \"k_ab71\"}"}
-{"id": "gen_code:246", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def sweep(values, start):\\n    total = start\\n    for v in values:\\n        total = total * 2 + v\\n    return total\\n\\nresult = sweep([13, 18, 3, 15, 6], 0)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_1a80\": \"428\", \"k_f6d6\": \"427\", \"k_4934\": \"400\", \"k_f0a5\": \"431\"}}}", "gold": "{\"output\": \"k_4934\"}"}
-{"id": "gen_code:282", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def blend(first, second):\\n    return [a - b for a, b in zip(first, second)]\\n\\nresult = blend([2, 9, 2, 1, 6], [6, 5, 4, 5, 4])\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_9fb3\": \"[-4, 1, 5, -4, -2]\", \"k_51db\": \"[-4, 4, 2, -3, -3]\", \"k_95ea\": \"[-4, 4, -2, -4, 2]\", \"k_cdae\": \"[-4, 7, 2, -4, 1]\"}}}", "gold": "{\"output\": \"k_95ea\"}"}
-{"id": "gen_code:320", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def sweep(values, start):\\n    total = start\\n    for v in values:\\n        total = max(total, v) + 1\\n    return total\\n\\nresult = sweep([18, 14, 7, 2], 6)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_5924\": \"22\", \"k_320b\": \"19\", \"k_1a46\": \"20\", \"k_2b81\": \"21\"}}}", "gold": "{\"output\": \"k_5924\"}"}
-{"id": "gen_code:333", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def tally(counts, floor):\\n    return sorted(k for k, v in counts.items() if v > floor)\\n\\nresult = tally({'scvmi': 4, 'rfm': 6, 'wnzc': 7, 'fzdi': 3, 'xfk': 5, 'mxjke': 2}, 2)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_f5a1\": \"['fzdi', 'rfm', 'scvmi', 'wnzc', 'xfk']\", \"k_8d31\": \"['mxjke', 'rfm', 'scvmi', 'wnzc', 'xfk']\", \"k_138e\": \"['fzdi', 'mxjke', 'scvmi', 'wnzc', 'xfk']\", \"k_5a3a\": \"['fzdi', 'mxjke', 'rfm', 'scvmi', 'wnzc']\"}}}", "gold": "{\"output\": \"k_f5a1\"}"}
-{"id": "gen_code:341", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def blend(first, second):\\n    return [a - b for a, b in zip(first, second)]\\n\\nresult = blend([4, 7, 6, 9, 6, 5], [5, 3, 5, 6, 8, 3])\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_e42a\": \"[-1, -2, 3, -3, -2, 0]\", \"k_178f\": \"[-1, 4, 0, 6, -2, 0]\", \"k_c402\": \"[-1, 4, 3, 3, -2, 0]\", \"none_of_these\": \"None of the other options is correct.\"}}}", "gold": "{\"output\": \"none_of_these\"}"}
-{"id": "gen_code:342", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def window(values, size):\\n    return [sum(values[i:i + size]) for i in range(len(values) - size)]\\n\\nresult = window([9, 5, 3, 9, 3, 3, 5, 4], 3)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_a14f\": \"[17, 17, 15, 15, 11]\", \"k_0096\": \"[15, 15, 17, 17, 13]\", \"k_19d8\": \"[15, 15, 15, 17, 13]\", \"k_2dbc\": \"[21, 15, 17, 13, 13]\"}}}", "gold": "{\"output\": \"k_a14f\"}"}
-{"id": "gen_code:359", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def window(values, size):\\n    return [sum(values[i:i + size]) for i in range(0, len(values), size)]\\n\\nresult = window([7, 3, 4, 5, 2, 9], 2)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_c5b5\": \"[16, 7, 7]\", \"k_1a1c\": \"[9, 13, 8]\", \"k_1f03\": \"[10, 9, 11]\", \"k_82a1\": \"[10, 13, 7]\"}}}", "gold": "{\"output\": \"k_1f03\"}"}
-{"id": "gen_code:360", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def window(values, size):\\n    return [sum(values[i:i + size]) for i in range(len(values) - size + 1)]\\n\\nresult = window([0, 5, 9, 0, 6, 9, 4], 4)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_8f2a\": \"[14, 20, 24, 19]\", \"k_74b9\": \"[13, 19, 19, 24]\", \"k_a146\": \"[15, 20, 20, 24]\", \"k_2cb8\": \"[11, 20, 29, 28]\"}}}", "gold": "{\"output\": \"k_8f2a\"}"}
-{"id": "gen_code:382", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def window(values, size):\\n    return [sum(values[i:i + size]) for i in range(0, len(values), size)]\\n\\nresult = window([4, 8, 0, 3, 2, 2], 2)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_57b9\": \"[10, 4, 5]\", \"k_8fe4\": \"[12, 5, 2]\", \"k_b654\": \"[7, 10, 2]\", \"k_23cc\": \"[12, 3, 4]\"}}}", "gold": "{\"output\": \"k_23cc\"}"}
-{"id": "gen_code:386", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def sweep(values, start):\\n    total = start\\n    for v in values:\\n        total = total * 2 - v\\n    return total\\n\\nresult = sweep([9, 14, 20, 9, 1, 20], 6)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_841b\": \"-128\", \"k_437e\": \"-421\", \"k_b428\": \"-346\", \"k_bc59\": \"-260\"}}}", "gold": "{\"output\": \"k_b428\"}"}
-{"id": "gen_code:387", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def tally(counts, floor):\\n    return sorted(k for k, v in counts.items() if v != floor)\\n\\nresult = tally({'bnc': 4, 'xtsd': 5, 'gytj': 1, 'nrvww': 3, 'cdrn': 8, 'ejeyb': 3}, 1)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_9e2f\": \"['bnc', 'ejeyb', 'gytj', 'nrvww', 'xtsd']\", \"k_f20a\": \"['bnc', 'cdrn', 'gytj', 'nrvww', 'xtsd']\", \"k_563e\": \"['bnc', 'cdrn', 'ejeyb', 'nrvww', 'xtsd']\", \"k_6fbb\": \"['bnc', 'cdrn', 'ejeyb', 'gytj', 'xtsd']\"}}}", "gold": "{\"output\": \"k_563e\"}"}
-{"id": "gen_code:398", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def tally(counts, floor):\\n    return sorted(k for k, v in counts.items() if v != floor)\\n\\nresult = tally({'wzsf': 1, 'smz': 6, 'iyh': 0, 'nxfx': 4, 'bzx': 5, 'vuxba': 5}, 5)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_f3d7\": \"['bzx', 'iyh', 'smz', 'vuxba']\", \"k_25f8\": \"['bzx', 'iyh', 'smz', 'wzsf']\", \"k_a2d2\": \"['iyh', 'nxfx', 'smz', 'wzsf']\", \"k_289d\": \"['bzx', 'iyh', 'nxfx', 'smz']\"}}}", "gold": "{\"output\": \"k_a2d2\"}"}
-{"id": "gen_code:416", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def sweep(values, start):\\n    total = start\\n    for v in values:\\n        total = total * 2 - v\\n    return total\\n\\nresult = sweep([1, 14, 20, 2, 14, 17], 13)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_4371\": \"-93\", \"k_2988\": \"-126\", \"k_487a\": \"-138\", \"k_98d9\": \"363\"}}}", "gold": "{\"output\": \"k_98d9\"}"}
-{"id": "gen_code:472", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def blend(first, second):\\n    return [a + b for a, b in zip(first, second)]\\n\\nresult = blend([4, 1, 4, 4], [1, 2, 1, 8])\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_7d75\": \"[5, 3, 5, 12]\", \"k_521f\": \"[5, 3, 8, 9]\", \"k_2382\": \"[5, 9, 8, 3]\", \"k_d859\": \"[5, 5, 6, 9]\"}}}", "gold": "{\"output\": \"k_7d75\"}"}
-{"id": "gen_code:477", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def sweep(values, start):\\n    total = start\\n    for v in values:\\n        total = total * 2 - v\\n    return total\\n\\nresult = sweep([16, 19, 12, 6, 16], 1)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_1951\": \"-320\", \"k_dcef\": \"-452\", \"k_b2aa\": \"-312\", \"k_b7f8\": \"-284\"}}}", "gold": "{\"output\": \"k_dcef\"}"}
-{"id": "gen_code:500", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def window(values, size):\\n    return [sum(values[i:i + size]) for i in range(len(values) - size + 1)]\\n\\nresult = window([3, 4, 9, 0, 1, 6, 6], 2)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_d284\": \"[10, 13, 9, 1, 7, 9]\", \"k_a683\": \"[7, 13, 9, 1, 7, 12]\", \"k_198d\": \"[5, 13, 9, 6, 9, 9]\", \"k_9e90\": \"[6, 9, 13, 5, 4, 9]\"}}}", "gold": "{\"output\": \"k_a683\"}"}
-{"id": "gen_code:503", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def sweep(values, start):\\n    total = start\\n    for v in values:\\n        total = abs(total - v)\\n    return total\\n\\nresult = sweep([4, 19, 2, 15, 20], 10)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_4263\": \"16\", \"k_6daa\": \"8\", \"k_a65a\": \"20\", \"k_9b89\": \"10\", \"none_of_these\": \"None of the other options is correct.\"}}}", "gold": "{\"output\": \"k_4263\"}"}
-{"id": "gen_code:510", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def tally(counts, floor):\\n    return sorted(k for k, v in counts.items() if v >= floor)\\n\\nresult = tally({'ysrmr': 8, 'uwh': 4, 'cmgy': 8, 'jzosq': 1, 'gfgs': 8, 'fudbi': 3}, 4)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_a485\": \"['gfgs', 'jzosq', 'uwh', 'ysrmr']\", \"k_db70\": \"['cmgy', 'gfgs', 'jzosq', 'ysrmr']\", \"k_306c\": \"['cmgy', 'fudbi', 'uwh', 'ysrmr']\", \"k_08b5\": \"['cmgy', 'gfgs', 'uwh', 'ysrmr']\"}}}", "gold": "{\"output\": \"k_08b5\"}"}
-{"id": "gen_code:523", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def sweep(values, start):\\n    total = start\\n    for v in values:\\n        total = total * 2 - v\\n    return total\\n\\nresult = sweep([9, 2, 12, 20, 9], 0)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_03c1\": \"-345\", \"k_5bb5\": \"-342\", \"k_e0f0\": \"-257\", \"k_6bdb\": \"-297\"}}}", "gold": "{\"output\": \"k_e0f0\"}"}
-{"id": "gen_code:542", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def sweep(values, start):\\n    total = start\\n    for v in values:\\n        total = total * 2 - v\\n    return total\\n\\nresult = sweep([20, 18, 17, 4, 1, 2], 17)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_c784\": \"203\", \"k_7417\": \"3\", \"k_af39\": \"135\", \"k_852d\": \"4\"}}}", "gold": "{\"output\": \"k_852d\"}"}
-{"id": "gen_code:575", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def sweep(values, start):\\n    total = start\\n    for v in values:\\n        total = max(total, v) + 1\\n    return total\\n\\nresult = sweep([4, 11, 17, 16, 13], 13)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_e747\": \"19\", \"k_b8b2\": \"22\", \"k_fb2f\": \"18\", \"k_87fa\": \"20\"}}}", "gold": "{\"output\": \"k_87fa\"}"}
-{"id": "gen_code:618", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def tally(counts, floor):\\n    return sorted(k for k, v in counts.items() if v >= floor)\\n\\nresult = tally({'cimt': 8, 'qjsv': 1, 'eepb': 7, 'aykhr': 8, 'mxee': 3, 'gekc': 8}, 8)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_7a06\": \"['cimt', 'gekc', 'qjsv']\", \"k_22e0\": \"['aykhr', 'cimt', 'gekc']\", \"k_cf84\": \"['aykhr', 'eepb', 'gekc']\", \"k_fb23\": \"['aykhr', 'gekc', 'qjsv']\", \"none_of_these\": \"None of the other options is correct.\"}}}", "gold": "{\"output\": \"k_22e0\"}"}
-{"id": "gen_code:623", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def blend(first, second):\\n    return [a * b for a, b in zip(first, reversed(second))]\\n\\nresult = blend([9, 2, 3, 5], [5, 4, 1, 2])\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_5fd8\": \"[36, 2, 6, 25]\", \"k_21a2\": \"[18, 2, 12, 25]\", \"k_80b4\": \"[4, 4, 27, 25]\", \"k_cfe8\": \"[6, 4, 18, 25]\"}}}", "gold": "{\"output\": \"k_21a2\"}"}
-{"id": "gen_code:641", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def window(values, size):\\n    return [max(values[i:i + size]) for i in range(len(values) - size + 1)]\\n\\nresult = window([7, 9, 6, 1, 3, 9, 8], 2)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_55f1\": \"[9, 9, 9, 9, 3, 6]\", \"k_f72f\": \"[9, 9, 6, 3, 9, 9]\", \"k_20f1\": \"[9, 9, 9, 3, 8, 8]\", \"k_b459\": \"[7, 9, 9, 9, 3, 8]\"}}}", "gold": "{\"output\": \"k_f72f\"}"}
-{"id": "gen_code:657", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def tally(counts, floor):\\n    return sorted(k for k, v in counts.items() if v < floor)\\n\\nresult = tally({'mbgiv': 3, 'eidat': 1, 'fmndu': 6, 'tuye': 3, 'qchz': 4, 'ynsn': 4}, 4)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_d5b3\": \"['eidat', 'tuye', 'ynsn']\", \"k_5a63\": \"['eidat', 'fmndu', 'tuye']\", \"k_b498\": \"['eidat', 'fmndu', 'qchz']\", \"k_ec13\": \"['eidat', 'mbgiv', 'tuye']\"}}}", "gold": "{\"output\": \"k_ec13\"}"}
-{"id": "gen_code:674", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def sweep(values, start):\\n    total = start\\n    for v in values:\\n        total = total * 2 + v\\n    return total\\n\\nresult = sweep([9, 4, 11, 11, 2], 6)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_1e2d\": \"464\", \"k_517f\": \"436\", \"k_0288\": \"502\", \"k_a7b0\": \"345\"}}}", "gold": "{\"output\": \"k_517f\"}"}
-{"id": "gen_code:690", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def tally(counts, floor):\\n    return sorted(k for k, v in counts.items() if v < floor)\\n\\nresult = tally({'yitb': 1, 'voga': 3, 'shcwt': 0, 'lkfal': 3, 'ssic': 5, 'flqm': 4}, 4)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_4ebd\": \"['lkfal', 'shcwt', 'ssic', 'voga']\", \"k_e307\": \"['flqm', 'lkfal', 'shcwt', 'voga']\", \"k_0595\": \"['flqm', 'lkfal', 'voga', 'yitb']\", \"k_74d2\": \"['lkfal', 'shcwt', 'voga', 'yitb']\"}}}", "gold": "{\"output\": \"k_74d2\"}"}
-{"id": "gen_code:701", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def sweep(values, start):\\n    total = start\\n    for v in values:\\n        total = total * 2 + v\\n    return total\\n\\nresult = sweep([11, 7, 10, 17, 13], 3)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_743e\": \"415\", \"k_426e\": \"424\", \"k_eb5c\": \"432\", \"k_2773\": \"417\"}}}", "gold": "{\"output\": \"k_743e\"}"}
-{"id": "gen_code:717", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def blend(first, second):\\n    return [a + b for a, b in zip(first, second)]\\n\\nresult = blend([5, 1, 1, 6, 7, 5], [6, 6, 6, 1, 9, 9])\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_8846\": \"[11, 7, 15, 7, 8, 14]\", \"k_4cec\": \"[11, 11, 7, 2, 15, 16]\", \"k_0782\": \"[11, 7, 7, 7, 16, 14]\", \"k_ff9b\": \"[12, 6, 7, 7, 16, 14]\"}}}", "gold": "{\"output\": \"k_0782\"}"}
-{"id": "gen_code:721", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def window(values, size):\\n    return [sum(values[i:i + size]) for i in range(0, len(values), size)]\\n\\nresult = window([6, 0, 1, 3, 6, 8, 9, 5, 2], 2)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_746c\": \"[6, 4, 14, 14, 2]\", \"k_182d\": \"[1, 11, 15, 11, 2]\", \"k_7395\": \"[6, 9, 12, 11, 2]\", \"k_51ac\": \"[6, 9, 9, 14, 2]\"}}}", "gold": "{\"output\": \"k_746c\"}"}
-{"id": "gen_code:730", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def window(values, size):\\n    return [sum(values[i:i + size]) for i in range(0, len(values), size)]\\n\\nresult = window([6, 6, 8, 1, 9, 7], 2)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_fb08\": \"[14, 10, 13]\", \"k_40fe\": \"[12, 9, 16]\", \"k_15d7\": \"[12, 10, 15]\", \"k_c671\": \"[12, 8, 17]\"}}}", "gold": "{\"output\": \"k_40fe\"}"}
-{"id": "gen_code:748", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def tally(counts, floor):\\n    return sorted(k for k, v in counts.items() if v != floor)\\n\\nresult = tally({'gzy': 6, 'vfpqf': 7, 'svypb': 6, 'uszs': 5, 'zlx': 1, 'rfgyv': 6}, 1)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_1ce6\": \"['gzy', 'rfgyv', 'svypb', 'uszs', 'vfpqf']\", \"k_6228\": \"['gzy', 'svypb', 'uszs', 'vfpqf', 'zlx']\", \"k_9eef\": \"['rfgyv', 'svypb', 'uszs', 'vfpqf', 'zlx']\", \"k_b36b\": \"['gzy', 'rfgyv', 'svypb', 'vfpqf', 'zlx']\"}}}", "gold": "{\"output\": \"k_1ce6\"}"}
-{"id": "gen_code:776", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def tally(counts, floor):\\n    return sorted(k for k, v in counts.items() if v >= floor)\\n\\nresult = tally({'tgphi': 1, 'hhtk': 6, 'uksta': 3, 'oakvr': 3, 'fxnpp': 3, 'csg': 1}, 3)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_2d55\": \"['csg', 'fxnpp', 'oakvr', 'uksta']\", \"k_3fbb\": \"['csg', 'oakvr', 'tgphi', 'uksta']\", \"k_ea84\": \"['csg', 'hhtk', 'oakvr', 'uksta']\", \"none_of_these\": \"None of the other options is correct.\"}}}", "gold": "{\"output\": \"none_of_these\"}"}
-{"id": "gen_code:778", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def window(values, size):\\n    return [sum(values[i:i + size]) for i in range(len(values) - size + 1)]\\n\\nresult = window([8, 2, 1, 2, 6, 9, 8, 0, 5], 3)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_c14b\": \"[11, 5, 9, 17, 23, 17, 13]\", \"k_317e\": \"[18, 12, 19, 12, 10, 7, 11]\", \"k_ad30\": \"[19, 12, 16, 16, 15, 9, 6]\", \"k_87b6\": \"[18, 12, 16, 17, 16, 15, 6]\"}}}", "gold": "{\"output\": \"k_c14b\"}"}
-{"id": "gen_code:780", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def window(values, size):\\n    return [max(values[i:i + size]) for i in range(len(values) - size + 1)]\\n\\nresult = window([9, 2, 7, 2, 6, 0], 3)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_9a42\": \"[9, 7, 7, 7]\", \"k_4f76\": \"[9, 2, 6, 7]\", \"k_f747\": \"[9, 7, 7, 6]\", \"k_5f02\": \"[6, 7, 9, 9]\"}}}", "gold": "{\"output\": \"k_f747\"}"}
-{"id": "gen_code:782", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def tally(counts, floor):\\n    return sorted(k for k, v in counts.items() if v >= floor)\\n\\nresult = tally({'vmjhc': 2, 'hsb': 7, 'bemg': 8, 'dot': 6, 'kln': 4, 'jzavo': 5}, 7)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_6654\": \"['bemg', 'dot']\", \"k_de3a\": \"['bemg', 'hsb']\", \"k_b232\": \"['dot', 'jzavo']\", \"k_8361\": \"['dot', 'hsb']\"}}}", "gold": "{\"output\": \"k_de3a\"}"}
-{"id": "gen_code:825", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def tally(counts, floor):\\n    return sorted(k for k, v in counts.items() if v > floor)\\n\\nresult = tally({'ycm': 4, 'bfd': 8, 'mozze': 6, 'xbgi': 6, 'fwejl': 2, 'kop': 2}, 2)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_1a84\": \"['bfd', 'kop', 'xbgi', 'ycm']\", \"k_7060\": \"['bfd', 'mozze', 'xbgi', 'ycm']\", \"k_cc72\": \"['kop', 'mozze', 'xbgi', 'ycm']\", \"k_5aaa\": \"['bfd', 'fwejl', 'mozze', 'xbgi']\"}}}", "gold": "{\"output\": \"k_7060\"}"}
-{"id": "gen_code:834", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def blend(first, second):\\n    return [a + b for a, b in zip(first, second)]\\n\\nresult = blend([7, 8, 9, 3, 2, 4], [9, 2, 3, 6, 8, 8])\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_e634\": \"[17, 9, 12, 9, 10, 12]\", \"k_0822\": \"[16, 10, 12, 8, 11, 12]\", \"k_dc7e\": \"[16, 10, 12, 9, 10, 12]\", \"k_adb3\": \"[16, 6, 12, 9, 10, 16]\"}}}", "gold": "{\"output\": \"k_dc7e\"}"}
-{"id": "gen_code:851", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def window(values, size):\\n    return [sum(values[i:i + size]) for i in range(len(values) - size)]\\n\\nresult = window([2, 3, 1, 7, 7, 9, 6], 2)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_7927\": \"[12, 4, 3, 9, 14]\", \"k_60a7\": \"[10, 9, 8, 9, 16]\", \"k_d67f\": \"[8, 4, 5, 9, 16]\", \"k_e98c\": \"[5, 4, 8, 14, 16]\"}}}", "gold": "{\"output\": \"k_e98c\"}"}
-{"id": "gen_code:872", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def tally(counts, floor):\\n    return sorted(k for k, v in counts.items() if v >= floor)\\n\\nresult = tally({'mqf': 6, 'pglf': 0, 'bzuq': 4, 'bse': 0, 'jvtf': 4, 'trz': 0}, 4)\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_ddf5\": \"['mqf', 'pglf', 'trz']\", \"k_598b\": \"['bse', 'bzuq', 'trz']\", \"k_ff7e\": \"['bzuq', 'jvtf', 'mqf']\", \"k_aa79\": \"['bzuq', 'pglf', 'trz']\"}}}", "gold": "{\"output\": \"k_ff7e\"}"}
-{"id": "gen_code:914", "source": "gen_code", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"def blend(first, second):\\n    return [a + b for a, b in zip(first, second)]\\n\\nresult = blend([7, 6, 4, 2, 8, 6], [6, 8, 7, 1, 5, 5])\"", "questions": "{\"output\": {\"type\": \"choice\", \"instructions\": \"What is the value of result after this Python code runs?\", \"criteria\": {\"k_491a\": \"[14, 15, 9, 7, 9, 11]\", \"k_11ee\": \"[13, 14, 11, 3, 13, 11]\", \"k_ccd8\": \"[16, 14, 12, 5, 7, 11]\", \"k_af93\": \"[14, 15, 13, 9, 3, 11]\"}}}", "gold": "{\"output\": \"k_11ee\"}"}
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data/gen_compare/test.jsonl

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-{"id": "gen_compare:390", "source": "gen_compare", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Milo (points = 47), Hana (points = 173), Dana (points = 66)\"", "questions": "{\"pair\": {\"type\": \"noul\", \"instructions\": \"Dana scored fewer points than Milo.\"}, \"which\": {\"type\": \"choice\", \"instructions\": \"Which of the two scored more points? (Dana or Milo)\", \"criteria\": {\"Dana\": \"Dana\", \"Milo\": \"Milo\"}}, \"most\": {\"type\": \"choice\", \"instructions\": \"Who scored the most points?\", \"criteria\": {\"Milo\": \"Milo\", \"Hana\": \"Hana\", \"Dana\": \"Dana\"}}}", "gold": "{\"pair\": \"no\", \"which\": \"Dana\", \"most\": \"Hana\"}"}
-{"id": "gen_compare:391", "source": "gen_compare", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Milo (height_cm = 69), Dana (height_cm = 62), Nora (height_cm = 46), Gus (height_cm = 70)\"", "questions": "{\"pair\": {\"type\": \"noul\", \"instructions\": \"Dana is taller than Milo.\"}, \"which\": {\"type\": \"choice\", \"instructions\": \"Which of the two is taller? (Dana or Milo)\", \"criteria\": {\"k_c1d0\": \"Dana\", \"k_0b2e\": \"Milo\"}}, \"most\": {\"type\": \"choice\", \"instructions\": \"Who is the tallest?\", \"criteria\": {\"k_c4f3\": \"Milo\", \"k_57f4\": \"Dana\", \"k_b640\": \"Nora\", \"k_894d\": \"Gus\"}}}", "gold": "{\"pair\": \"no\", \"which\": \"k_0b2e\", \"most\": \"k_894d\"}"}
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-{"id": "gen_dates:40", "source": "gen_dates", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Order date: 2025-06-21. Today: 2025-07-20.\"", "questions": "{\"days\": {\"type\": \"choice\", \"instructions\": \"How many days have passed since the order date?\", \"criteria\": {\"29\": \"29 days\", \"30\": \"30 days\", \"32\": \"32 days\", \"36\": \"36 days\"}}, \"window\": {\"type\": \"noul\", \"instructions\": \"The order was placed more than 30 days ago.\"}, \"weekday\": {\"type\": \"choice\", \"instructions\": \"On which day of the week was the order placed?\", \"criteria\": {\"Monday\": \"Monday\", \"Tuesday\": \"Tuesday\", \"Wednesday\": \"Wednesday\", \"Thursday\": \"Thursday\", \"Friday\": \"Friday\", \"Saturday\": \"Saturday\", \"Sunday\": \"Sunday\"}}}", "gold": "{\"days\": \"29\", \"window\": \"no\", \"weekday\": \"Saturday\"}"}
-{"id": "gen_dates:45", "source": "gen_dates", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"The customer ordered on May 05, 2023; it is now July 07, 2023.\"", "questions": "{\"days\": {\"type\": \"choice\", \"instructions\": \"How many days have passed since the order date?\", \"criteria\": {\"30\": \"30 days\", \"53\": \"53 days\", \"56\": \"56 days\", \"60\": \"60 days\", \"61\": \"61 days\", \"62\": \"62 days\", \"63\": \"63 days\", \"64\": \"64 days\", \"65\": \"65 days\", \"70\": \"70 days\"}}, \"window\": {\"type\": \"noul\", \"instructions\": \"The order was placed at most 60 days ago.\"}, \"weekday\": {\"type\": \"choice\", \"instructions\": \"On which day of the week was the order placed?\", \"criteria\": {\"Monday\": \"Monday\", \"Tuesday\": \"Tuesday\", \"Wednesday\": \"Wednesday\", \"Thursday\": \"Thursday\", \"Friday\": \"Friday\", \"Saturday\": \"Saturday\", \"Sunday\": \"Sunday\"}}}", "gold": "{\"days\": \"63\", \"window\": \"no\", \"weekday\": \"Friday\"}"}
-{"id": "gen_dates:81", "source": "gen_dates", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Order date: 2025-04-26. Today: 2025-05-11.\"", "questions": "{\"days\": {\"type\": \"choice\", \"instructions\": \"How many days have passed since the order date?\", \"criteria\": {\"3\": \"3 days\", \"5\": \"5 days\", \"15\": \"15 days\", \"17\": \"17 days\"}}, \"window\": {\"type\": \"noul\", \"instructions\": \"The order was placed more than 14 days ago.\"}, \"weekday\": {\"type\": \"choice\", \"instructions\": \"On which day of the week was the order placed?\", \"criteria\": {\"Monday\": \"Monday\", \"Tuesday\": \"Tuesday\", \"Wednesday\": \"Wednesday\", \"Thursday\": \"Thursday\", \"Friday\": \"Friday\", \"Saturday\": \"Saturday\", \"Sunday\": \"Sunday\"}}}", "gold": "{\"days\": \"15\", \"window\": \"yes\", \"weekday\": \"Saturday\"}"}
-{"id": "gen_dates:82", "source": "gen_dates", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"The customer ordered on September 21, 2024; it is now October 08, 2024.\"", "questions": "{\"days\": {\"type\": \"choice\", \"instructions\": \"How many days have passed since the order date?\", \"criteria\": {\"k_139f\": \"9 days\", \"k_d19d\": \"10 days\", \"k_6121\": \"14 days\", \"k_e4d9\": \"17 days\"}}, \"window\": {\"type\": \"noul\", \"instructions\": \"The order was placed more than 14 days ago.\"}, \"weekday\": {\"type\": \"choice\", \"instructions\": \"On which day of the week was the order placed?\", \"criteria\": {\"k_4954\": \"Monday\", \"k_0b5f\": \"Tuesday\", \"k_2388\": \"Wednesday\", \"k_97d0\": \"Thursday\", \"k_9109\": \"Friday\", \"k_8b4e\": \"Saturday\", \"k_e4f6\": \"Sunday\"}}}", "gold": "{\"days\": \"k_e4d9\", \"window\": \"yes\", \"weekday\": \"k_8b4e\"}"}
-{"id": "gen_dates:95", "source": "gen_dates", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Order date: 2023-05-21. Today: 2023-06-04.\"", "questions": "{\"days\": {\"type\": \"choice\", \"instructions\": \"How many days have passed since the order date?\", \"criteria\": {\"k_d7f4\": \"4 days\", \"k_e225\": \"7 days\", \"k_5756\": \"11 days\", \"k_2cfb\": \"14 days\", \"none_of_these\": \"None of the other options is correct.\"}}, \"window\": {\"type\": \"noul\", \"instructions\": \"The order was placed more than 14 days ago.\"}, \"weekday\": {\"type\": \"choice\", \"instructions\": \"On which day of the week was the order placed?\", \"criteria\": {\"k_c929\": \"Monday\", \"k_6a15\": \"Tuesday\", \"k_7273\": \"Wednesday\", \"k_8b35\": \"Thursday\", \"k_feee\": \"Friday\", \"k_6f23\": \"Saturday\", \"k_4a60\": \"Sunday\", \"none_of_these\": \"None of the other options is correct.\"}}}", "gold": "{\"days\": \"k_2cfb\", \"window\": \"no\", \"weekday\": \"k_4a60\"}"}
-{"id": "gen_dates:165", "source": "gen_dates", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Order date: 2023-08-27. Today: 2023-09-11.\"", "questions": "{\"days\": {\"type\": \"choice\", \"instructions\": \"How many days have passed since the order date?\", \"criteria\": {\"13\": \"13 days\", \"15\": \"15 days\", \"16\": \"16 days\", \"17\": \"17 days\", \"18\": \"18 days\", \"22\": \"22 days\", \"25\": \"25 days\", \"29\": \"29 days\", \"32\": \"32 days\", \"40\": \"40 days\", \"none_of_these\": \"None of the other options is correct.\"}}, \"window\": {\"type\": \"noul\", \"instructions\": \"The order was placed at most 14 days ago.\"}, \"weekday\": {\"type\": \"choice\", \"instructions\": \"On which day of the week was the order placed?\", \"criteria\": {\"Monday\": \"Monday\", \"Tuesday\": \"Tuesday\", \"Wednesday\": \"Wednesday\", \"Thursday\": \"Thursday\", \"Friday\": \"Friday\", \"Saturday\": \"Saturday\", \"none_of_these\": \"None of the other options is correct.\"}}}", "gold": "{\"days\": \"15\", \"window\": \"no\", \"weekday\": \"none_of_these\"}"}
-{"id": "gen_dates:166", "source": "gen_dates", "family": "reasoning", "licence": "CC-BY-4.0", "state": "{\"ordered_on\": \"2025-02-07\", \"today\": \"2025-02-16\"}", "questions": "{\"days\": {\"type\": \"choice\", \"instructions\": \"How many days have passed since the order date?\", \"criteria\": {\"5\": \"5 days\", \"9\": \"9 days\", \"13\": \"13 days\", \"16\": \"16 days\"}}, \"window\": {\"type\": \"noul\", \"instructions\": \"The order was placed at most 7 days ago.\"}, \"weekday\": {\"type\": \"choice\", \"instructions\": \"On which day of the week was the order placed?\", \"criteria\": {\"Monday\": \"Monday\", \"Tuesday\": \"Tuesday\", \"Wednesday\": \"Wednesday\", \"Thursday\": \"Thursday\", \"Friday\": \"Friday\", \"Saturday\": \"Saturday\", \"Sunday\": \"Sunday\"}}}", "gold": "{\"days\": \"9\", \"window\": \"no\", \"weekday\": \"Friday\"}"}
-{"id": "gen_dates:167", "source": "gen_dates", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Order date: 2025-06-21. Today: 2025-07-24.\"", "questions": "{\"days\": {\"type\": \"choice\", \"instructions\": \"How many days have passed since the order date?\", \"criteria\": {\"6\": \"6 days\", \"17\": \"17 days\", \"32\": \"32 days\", \"33\": \"33 days\", \"34\": \"34 days\", \"35\": \"35 days\", \"38\": \"38 days\", \"40\": \"40 days\", \"43\": \"43 days\", \"71\": \"71 days\"}}, \"window\": {\"type\": \"noul\", \"instructions\": \"The order was placed at most 30 days ago.\"}, \"weekday\": {\"type\": \"choice\", \"instructions\": \"On which day of the week was the order placed?\", \"criteria\": {\"Monday\": \"Monday\", \"Tuesday\": \"Tuesday\", \"Wednesday\": \"Wednesday\", \"Thursday\": \"Thursday\", \"Friday\": \"Friday\", \"Saturday\": \"Saturday\", \"Sunday\": \"Sunday\"}}}", "gold": "{\"days\": \"33\", \"window\": \"no\", \"weekday\": \"Saturday\"}"}
-{"id": "gen_dates:186", "source": "gen_dates", "family": "reasoning", "licence": "CC-BY-4.0", "state": "{\"ordered_on\": \"2025-06-26\", \"today\": \"2025-09-25\"}", "questions": "{\"days\": {\"type\": \"choice\", \"instructions\": \"How many days have passed since the order date?\", \"criteria\": {\"30\": \"30 days\", \"91\": \"91 days\", \"93\": \"93 days\", \"94\": \"94 days\"}}, \"window\": {\"type\": \"noul\", \"instructions\": \"The order was placed more than 90 days ago.\"}, \"weekday\": {\"type\": \"choice\", \"instructions\": \"On which day of the week was the order placed?\", \"criteria\": {\"Monday\": \"Monday\", \"Tuesday\": \"Tuesday\", \"Wednesday\": \"Wednesday\", \"Thursday\": \"Thursday\", \"Friday\": \"Friday\", \"Saturday\": \"Saturday\", \"Sunday\": \"Sunday\"}}}", "gold": "{\"days\": \"91\", \"window\": \"yes\", \"weekday\": \"Thursday\"}"}
-{"id": "gen_dates:213", "source": "gen_dates", "family": "reasoning", "licence": "CC-BY-4.0", "state": "{\"ordered_on\": \"2023-08-01\", \"today\": \"2023-08-29\"}", "questions": "{\"days\": {\"type\": \"choice\", \"instructions\": \"How many days have passed since the order date?\", \"criteria\": {\"25\": \"25 days\", \"28\": \"28 days\", \"30\": \"30 days\", \"35\": \"35 days\"}}, \"window\": {\"type\": \"noul\", \"instructions\": \"The order was placed more than 30 days ago.\"}, \"weekday\": {\"type\": \"choice\", \"instructions\": \"On which day of the week was the order placed?\", \"criteria\": {\"Monday\": \"Monday\", \"Tuesday\": \"Tuesday\", \"Wednesday\": \"Wednesday\", \"Thursday\": \"Thursday\", \"Friday\": \"Friday\", \"Saturday\": \"Saturday\", \"Sunday\": \"Sunday\"}}}", "gold": "{\"days\": \"28\", \"window\": \"no\", \"weekday\": \"Tuesday\"}"}
-{"id": "gen_dates:228", "source": "gen_dates", "family": "reasoning", "licence": "CC-BY-4.0", "state": "{\"ordered_on\": \"2025-06-26\", \"today\": \"2025-09-24\"}", "questions": "{\"days\": {\"type\": \"choice\", \"instructions\": \"How many days have passed since the order date?\", \"criteria\": {\"90\": \"90 days\", \"91\": \"91 days\", \"92\": \"92 days\", \"93\": \"93 days\", \"96\": \"96 days\", \"97\": \"97 days\", \"100\": \"100 days\", \"107\": \"107 days\", \"135\": \"135 days\", \"157\": \"157 days\"}}, \"window\": {\"type\": \"noul\", \"instructions\": \"The order was placed more than 90 days ago.\"}, \"weekday\": {\"type\": \"choice\", \"instructions\": \"On which day of the week was the order placed?\", \"criteria\": {\"Monday\": \"Monday\", \"Tuesday\": \"Tuesday\", \"Wednesday\": \"Wednesday\", \"Thursday\": \"Thursday\", \"Friday\": \"Friday\", \"Saturday\": \"Saturday\", \"Sunday\": \"Sunday\"}}}", "gold": "{\"days\": \"90\", \"window\": \"no\", \"weekday\": \"Thursday\"}"}
-{"id": "gen_dates:234", "source": "gen_dates", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Order date: 2023-05-21. Today: 2023-06-07.\"", "questions": "{\"days\": {\"type\": \"choice\", \"instructions\": \"How many days have passed since the order date?\", \"criteria\": {\"15\": \"15 days\", \"17\": \"17 days\", \"20\": \"20 days\", \"24\": \"24 days\"}}, \"window\": {\"type\": \"noul\", \"instructions\": \"The order was placed at most 14 days ago.\"}, \"weekday\": {\"type\": \"choice\", \"instructions\": \"On which day of the week was the order placed?\", \"criteria\": {\"Monday\": \"Monday\", \"Tuesday\": \"Tuesday\", \"Wednesday\": \"Wednesday\", \"Thursday\": \"Thursday\", \"Friday\": \"Friday\", \"Saturday\": \"Saturday\", \"Sunday\": \"Sunday\"}}}", "gold": "{\"days\": \"17\", \"window\": \"no\", \"weekday\": \"Sunday\"}"}
-{"id": "gen_dates:243", "source": "gen_dates", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"The customer ordered on May 05, 2023; it is now July 04, 2023.\"", "questions": "{\"days\": {\"type\": \"choice\", \"instructions\": \"How many days have passed since the order date?\", \"criteria\": {\"60\": \"60 days\", \"70\": \"70 days\", \"90\": \"90 days\", \"92\": \"92 days\"}}, \"window\": {\"type\": \"noul\", \"instructions\": \"The order was placed at most 60 days ago.\"}, \"weekday\": {\"type\": \"choice\", \"instructions\": \"On which day of the week was the order placed?\", \"criteria\": {\"Monday\": \"Monday\", \"Tuesday\": \"Tuesday\", \"Wednesday\": \"Wednesday\", \"Thursday\": \"Thursday\", \"Friday\": \"Friday\", \"Saturday\": \"Saturday\", \"Sunday\": \"Sunday\"}}}", "gold": "{\"days\": \"60\", \"window\": \"yes\", \"weekday\": \"Friday\"}"}
-{"id": "gen_dates:246", "source": "gen_dates", "family": "reasoning", "licence": "CC-BY-4.0", "state": "{\"ordered_on\": \"2025-04-23\", \"today\": \"2025-06-25\"}", "questions": "{\"days\": {\"type\": \"choice\", \"instructions\": \"How many days have passed since the order date?\", \"criteria\": {\"7\": \"7 days\", \"32\": \"32 days\", \"53\": \"53 days\", \"63\": \"63 days\"}}, \"window\": {\"type\": \"noul\", \"instructions\": \"The order was placed at most 60 days ago.\"}, \"weekday\": {\"type\": \"choice\", \"instructions\": \"On which day of the week was the order placed?\", \"criteria\": {\"Monday\": \"Monday\", \"Tuesday\": \"Tuesday\", \"Wednesday\": \"Wednesday\", \"Thursday\": \"Thursday\", \"Friday\": \"Friday\", \"Saturday\": \"Saturday\", \"Sunday\": \"Sunday\"}}}", "gold": "{\"days\": \"63\", \"window\": \"no\", \"weekday\": \"Wednesday\"}"}
-{"id": "gen_dates:276", "source": "gen_dates", "family": "reasoning", "licence": "CC-BY-4.0", "state": "{\"ordered_on\": \"2025-04-23\", \"today\": \"2025-06-21\"}", "questions": "{\"days\": {\"type\": \"choice\", \"instructions\": \"How many days have passed since the order date?\", \"criteria\": {\"30\": \"30 days\", \"41\": \"41 days\", \"49\": \"49 days\", \"57\": \"57 days\", \"59\": \"59 days\", \"60\": \"60 days\", \"61\": \"61 days\", \"64\": \"64 days\", \"66\": \"66 days\", \"99\": \"99 days\"}}, \"window\": {\"type\": \"noul\", \"instructions\": \"The order was placed more than 60 days ago.\"}, \"weekday\": {\"type\": \"choice\", \"instructions\": \"On which day of the week was the order placed?\", \"criteria\": {\"Monday\": \"Monday\", \"Tuesday\": \"Tuesday\", \"Wednesday\": \"Wednesday\", \"Thursday\": \"Thursday\", \"Friday\": \"Friday\", \"Saturday\": \"Saturday\", \"Sunday\": \"Sunday\"}}}", "gold": "{\"days\": \"59\", \"window\": \"no\", \"weekday\": \"Wednesday\"}"}
-{"id": "gen_dates:316", "source": "gen_dates", "family": "reasoning", "licence": "CC-BY-4.0", "state": "{\"ordered_on\": \"2025-02-07\", \"today\": \"2025-02-14\"}", "questions": "{\"days\": {\"type\": \"choice\", \"instructions\": \"How many days have passed since the order date?\", \"criteria\": {\"0\": \"0 days\", \"1\": \"1 days\", \"2\": \"2 days\", \"3\": \"3 days\", \"4\": \"4 days\", \"5\": \"5 days\", \"6\": \"6 days\", \"7\": \"7 days\", \"10\": \"10 days\", \"31\": \"31 days\"}}, \"window\": {\"type\": \"noul\", \"instructions\": \"The order was placed more than 7 days ago.\"}, \"weekday\": {\"type\": \"choice\", \"instructions\": \"On which day of the week was the order placed?\", \"criteria\": {\"Monday\": \"Monday\", \"Tuesday\": \"Tuesday\", \"Wednesday\": \"Wednesday\", \"Thursday\": \"Thursday\", \"Friday\": \"Friday\", \"Saturday\": \"Saturday\", \"Sunday\": \"Sunday\"}}}", "gold": "{\"days\": \"7\", \"window\": \"no\", \"weekday\": \"Friday\"}"}
-{"id": "gen_dates:324", "source": "gen_dates", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Order date: 2024-02-08. Today: 2024-04-10.\"", "questions": "{\"days\": {\"type\": \"choice\", \"instructions\": \"How many days have passed since the order date?\", \"criteria\": {\"52\": \"52 days\", \"62\": \"62 days\", \"93\": \"93 days\", \"124\": \"124 days\"}}, \"window\": {\"type\": \"noul\", \"instructions\": \"The order was placed at most 60 days ago.\"}, \"weekday\": {\"type\": \"choice\", \"instructions\": \"On which day of the week was the order placed?\", \"criteria\": {\"Monday\": \"Monday\", \"Tuesday\": \"Tuesday\", \"Wednesday\": \"Wednesday\", \"Thursday\": \"Thursday\", \"Friday\": \"Friday\", \"Saturday\": \"Saturday\", \"Sunday\": \"Sunday\"}}}", "gold": "{\"days\": \"62\", \"window\": \"no\", \"weekday\": \"Thursday\"}"}
-{"id": "gen_dates:347", "source": "gen_dates", "family": "reasoning", "licence": "CC-BY-4.0", "state": "{\"ordered_on\": \"2024-08-22\", \"today\": \"2024-08-27\"}", "questions": "{\"days\": {\"type\": \"choice\", \"instructions\": \"How many days have passed since the order date?\", \"criteria\": {\"5\": \"5 days\", \"6\": \"6 days\", \"7\": \"7 days\", \"27\": \"27 days\"}}, \"window\": {\"type\": \"noul\", \"instructions\": \"The order was placed at most 7 days ago.\"}, \"weekday\": {\"type\": \"choice\", \"instructions\": \"On which day of the week was the order placed?\", \"criteria\": {\"Monday\": \"Monday\", \"Tuesday\": \"Tuesday\", \"Wednesday\": \"Wednesday\", \"Thursday\": \"Thursday\", \"Friday\": \"Friday\", \"Saturday\": \"Saturday\", \"Sunday\": \"Sunday\"}}}", "gold": "{\"days\": \"5\", \"window\": \"yes\", \"weekday\": \"Thursday\"}"}
-{"id": "gen_dates:365", "source": "gen_dates", "family": "reasoning", "licence": "CC-BY-4.0", "state": "{\"ordered_on\": \"2024-08-22\", \"today\": \"2024-08-30\"}", "questions": "{\"days\": {\"type\": \"choice\", \"instructions\": \"How many days have passed since the order date?\", \"criteria\": {\"8\": \"8 days\", \"9\": \"9 days\", \"10\": \"10 days\", \"11\": \"11 days\", \"12\": \"12 days\", \"13\": \"13 days\", \"15\": \"15 days\", \"18\": \"18 days\", \"31\": \"31 days\", \"34\": \"34 days\"}}, \"window\": {\"type\": \"noul\", \"instructions\": \"The order was placed at most 7 days ago.\"}, \"weekday\": {\"type\": \"choice\", \"instructions\": \"On which day of the week was the order placed?\", \"criteria\": {\"Monday\": \"Monday\", \"Tuesday\": \"Tuesday\", \"Wednesday\": \"Wednesday\", \"Thursday\": \"Thursday\", \"Friday\": \"Friday\", \"Saturday\": \"Saturday\", \"Sunday\": \"Sunday\"}}}", "gold": "{\"days\": \"8\", \"window\": \"no\", \"weekday\": \"Thursday\"}"}
-{"id": "gen_dates:367", "source": "gen_dates", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"The customer ordered on September 21, 2024; it is now October 05, 2024.\"", "questions": "{\"days\": {\"type\": \"choice\", \"instructions\": \"How many days have passed since the order date?\", \"criteria\": {\"14\": \"14 days\", \"17\": \"17 days\", \"21\": \"21 days\", \"24\": \"24 days\"}}, \"window\": {\"type\": \"noul\", \"instructions\": \"The order was placed at most 14 days ago.\"}, \"weekday\": {\"type\": \"choice\", \"instructions\": \"On which day of the week was the order placed?\", \"criteria\": {\"Monday\": \"Monday\", \"Tuesday\": \"Tuesday\", \"Wednesday\": \"Wednesday\", \"Thursday\": \"Thursday\", \"Friday\": \"Friday\", \"Saturday\": \"Saturday\", \"Sunday\": \"Sunday\"}}}", "gold": "{\"days\": \"14\", \"window\": \"yes\", \"weekday\": \"Saturday\"}"}
-{"id": "gen_dates:389", "source": "gen_dates", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Order date: 2025-04-26. Today: 2025-05-08.\"", "questions": "{\"days\": {\"type\": \"choice\", \"instructions\": \"How many days have passed since the order date?\", \"criteria\": {\"6\": \"6 days\", \"12\": \"12 days\", \"13\": \"13 days\", \"18\": \"18 days\"}}, \"window\": {\"type\": \"noul\", \"instructions\": \"The order was placed at most 14 days ago.\"}, \"weekday\": {\"type\": \"choice\", \"instructions\": \"On which day of the week was the order placed?\", \"criteria\": {\"Monday\": \"Monday\", \"Tuesday\": \"Tuesday\", \"Wednesday\": \"Wednesday\", \"Thursday\": \"Thursday\", \"Friday\": \"Friday\", \"Saturday\": \"Saturday\", \"Sunday\": \"Sunday\"}}}", "gold": "{\"days\": \"12\", \"window\": \"yes\", \"weekday\": \"Saturday\"}"}
-{"id": "gen_dates:393", "source": "gen_dates", "family": "reasoning", "licence": "CC-BY-4.0", "state": "{\"ordered_on\": \"2023-08-01\", \"today\": \"2023-09-02\"}", "questions": "{\"days\": {\"type\": \"choice\", \"instructions\": \"How many days have passed since the order date?\", \"criteria\": {\"16\": \"16 days\", \"29\": \"29 days\", \"30\": \"30 days\", \"31\": \"31 days\", \"32\": \"32 days\", \"33\": \"33 days\", \"34\": \"34 days\", \"39\": \"39 days\", \"48\": \"48 days\", \"58\": \"58 days\"}}, \"window\": {\"type\": \"noul\", \"instructions\": \"The order was placed at most 30 days ago.\"}, \"weekday\": {\"type\": \"choice\", \"instructions\": \"On which day of the week was the order placed?\", \"criteria\": {\"Monday\": \"Monday\", \"Tuesday\": \"Tuesday\", \"Wednesday\": \"Wednesday\", \"Thursday\": \"Thursday\", \"Friday\": \"Friday\", \"Saturday\": \"Saturday\", \"Sunday\": \"Sunday\"}}}", "gold": "{\"days\": \"32\", \"window\": \"no\", \"weekday\": \"Tuesday\"}"}

data/gen_dates/validation.parquet

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data/gen_deduce/test.jsonl

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-{"id": "gen_deduce:1000", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The flute is directly right of the apple; The flute is third from the left.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is second from the left?\", \"criteria\": {\"k_12da\": \"the apple\", \"k_a47c\": \"the flute\", \"k_e376\": \"the kite\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The kite is right of the apple.\"}}", "gold": "{\"position\": \"k_12da\", \"relation\": \"no\"}"}
-{"id": "gen_deduce:1001", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The egg is somewhere left of the kite; The candle is somewhere right of the egg; The lamp is somewhere left of the kite; The book is somewhere left of the kite; The egg is second from the left; The kite is somewhere right of the candle; The egg is somewhere left of the drum; The candle is somewhere right of the lamp; The egg is somewhere right of the lamp; The book is somewhere left of the candle; The book is directly right of the egg; The hat is seventh from the left; The candle is directly right of the book; The drum is sixth from the left.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is fourth from the left?\", \"criteria\": {\"k_31e1\": \"the book\", \"k_224a\": \"the candle\", \"k_a0da\": \"the drum\", \"k_95e9\": \"the egg\", \"k_3caa\": \"the hat\", \"k_b5ff\": \"the kite\", \"k_807d\": \"the lamp\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The drum is left of the kite.\"}}", "gold": "{\"position\": \"k_224a\", \"relation\": \"no\"}"}
-{"id": "gen_deduce:1002", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The egg is somewhere left of the flute; The mask is sixth from the left; The hat is somewhere left of the candle; The book is somewhere left of the candle; The hat is somewhere left of the egg; The book is somewhere right of the drum; The egg is directly right of the drum; The book is fourth from the left; The candle is fifth from the left.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is seventh from the left?\", \"criteria\": {\"book\": \"the book\", \"candle\": \"the candle\", \"drum\": \"the drum\", \"egg\": \"the egg\", \"flute\": \"the flute\", \"hat\": \"the hat\", \"mask\": \"the mask\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The flute is right of the book.\"}}", "gold": "{\"position\": \"flute\", \"relation\": \"yes\"}"}
-{"id": "gen_deduce:1003", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The globe is directly right of the jar; The jar is second from the left.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is first from the left?\", \"criteria\": {\"book\": \"the book\", \"globe\": \"the globe\", \"jar\": \"the jar\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The jar is right of the book.\"}}", "gold": "{\"position\": \"book\", \"relation\": \"yes\"}"}
-{"id": "gen_deduce:1004", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The candle is somewhere left of the drum; The drum is third from the left; The candle is second from the left.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is first from the left?\", \"criteria\": {\"candle\": \"the candle\", \"drum\": \"the drum\", \"kite\": \"the kite\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The candle is right of the kite.\"}}", "gold": "{\"position\": \"kite\", \"relation\": \"yes\"}"}
-{"id": "gen_deduce:1005", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The drum is somewhere left of the mask; The jar is somewhere right of the lamp; The mask is somewhere right of the lamp; The drum is somewhere left of the candle; The mask is somewhere right of the candle; The jar is somewhere left of the kite; The mask is directly right of the kite; The drum is somewhere left of the book; The book is fifth from the left; The lamp is third from the left.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is first from the left?\", \"criteria\": {\"book\": \"the book\", \"candle\": \"the candle\", \"drum\": \"the drum\", \"jar\": \"the jar\", \"kite\": \"the kite\", \"lamp\": \"the lamp\", \"mask\": \"the mask\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The kite is right of the lamp.\"}}", "gold": "{\"position\": \"drum\", \"relation\": \"yes\"}"}
-{"id": "gen_deduce:1006", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The drum is somewhere right of the apple; The drum is somewhere right of the lamp; The jar is somewhere right of the candle; The jar is somewhere right of the lamp; The lamp is somewhere right of the apple; The jar is directly right of the drum; The apple is somewhere left of the candle; The lamp is third from the left.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is second from the left?\", \"criteria\": {\"apple\": \"the apple\", \"candle\": \"the candle\", \"drum\": \"the drum\", \"jar\": \"the jar\", \"lamp\": \"the lamp\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The lamp is left of the candle.\"}}", "gold": "{\"position\": \"candle\", \"relation\": \"no\"}"}
-{"id": "gen_deduce:1007", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The mask is first from the left; The drum is directly right of the candle; The candle is somewhere left of the book; The candle is directly right of the mask; The globe is directly right of the book.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is fifth from the left?\", \"criteria\": {\"book\": \"the book\", \"candle\": \"the candle\", \"drum\": \"the drum\", \"globe\": \"the globe\", \"mask\": \"the mask\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The mask is right of the book.\"}}", "gold": "{\"position\": \"globe\", \"relation\": \"no\"}"}
-{"id": "gen_deduce:1008", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The mask is somewhere left of the candle; The apple is somewhere right of the flute; The apple is directly right of the flute; The mask is first from the left; The flute is directly right of the jar; The apple is somewhere right of the candle.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is fifth from the left?\", \"criteria\": {\"apple\": \"the apple\", \"candle\": \"the candle\", \"flute\": \"the flute\", \"jar\": \"the jar\", \"mask\": \"the mask\", \"none_of_these\": \"None of the other options is correct.\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The flute is left of the mask.\"}}", "gold": "{\"position\": \"apple\", \"relation\": \"no\"}"}
-{"id": "gen_deduce:1009", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The apple is somewhere left of the hat; The hat is somewhere right of the jar; The apple is second from the left.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is first from the left?\", \"criteria\": {\"apple\": \"the apple\", \"hat\": \"the hat\", \"jar\": \"the jar\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The jar is right of the apple.\"}}", "gold": "{\"position\": \"jar\", \"relation\": \"no\"}"}
-{"id": "gen_deduce:1010", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The lamp is somewhere left of the book; The lamp is somewhere right of the apple; The globe is somewhere left of the apple; The drum is somewhere right of the apple; The lamp is fourth from the left.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is fifth from the left?\", \"criteria\": {\"k_2375\": \"the apple\", \"k_9576\": \"the book\", \"k_90c7\": \"the drum\", \"k_3514\": \"the globe\", \"k_7b28\": \"the lamp\", \"none_of_these\": \"None of the other options is correct.\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The book is right of the apple.\"}}", "gold": "{\"position\": \"k_9576\", \"relation\": \"yes\"}"}
-{"id": "gen_deduce:1011", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The apple is somewhere left of the mask; The mask is somewhere right of the jar; The mask is somewhere left of the candle; The mask is somewhere left of the lamp; The candle is fourth from the left; The jar is directly right of the apple.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is first from the left?\", \"criteria\": {\"apple\": \"the apple\", \"candle\": \"the candle\", \"jar\": \"the jar\", \"lamp\": \"the lamp\", \"mask\": \"the mask\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The jar is right of the lamp.\"}}", "gold": "{\"position\": \"apple\", \"relation\": \"no\"}"}
-{"id": "gen_deduce:1012", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The flute is somewhere right of the candle; The flute is somewhere right of the apple; The apple is second from the left.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is third from the left?\", \"criteria\": {\"apple\": \"the apple\", \"candle\": \"the candle\", \"flute\": \"the flute\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The apple is left of the candle.\"}}", "gold": "{\"position\": \"flute\", \"relation\": \"no\"}"}
-{"id": "gen_deduce:1013", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The apple is first from the left; The flute is directly right of the apple.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is second from the left?\", \"criteria\": {\"apple\": \"the apple\", \"flute\": \"the flute\", \"jar\": \"the jar\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The flute is right of the jar.\"}}", "gold": "{\"position\": \"flute\", \"relation\": \"no\"}"}
-{"id": "gen_deduce:1014", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The apple is somewhere left of the drum; The drum is directly right of the globe; The drum is somewhere left of the book; The hat is somewhere left of the globe; The hat is first from the left.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is fifth from the left?\", \"criteria\": {\"k_3fe6\": \"the apple\", \"k_61ce\": \"the book\", \"k_78aa\": \"the drum\", \"k_964f\": \"the globe\", \"k_3ab7\": \"the hat\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The hat is left of the drum.\"}}", "gold": "{\"position\": \"k_61ce\", \"relation\": \"yes\"}"}
-{"id": "gen_deduce:1015", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The hat is fourth from the left; The drum is somewhere right of the globe; The globe is first from the left; The hat is somewhere right of the drum; The drum is somewhere right of the kite.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is third from the left?\", \"criteria\": {\"k_a2a3\": \"the book\", \"k_272b\": \"the drum\", \"k_2357\": \"the globe\", \"k_3072\": \"the hat\", \"k_9fe5\": \"the kite\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The kite is right of the book.\"}}", "gold": "{\"position\": \"k_272b\", \"relation\": \"no\"}"}
-{"id": "gen_deduce:1016", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The book is directly right of the flute; The flute is second from the left.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is first from the left?\", \"criteria\": {\"book\": \"the book\", \"flute\": \"the flute\", \"kite\": \"the kite\", \"none_of_these\": \"None of the other options is correct.\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The kite is right of the flute.\"}}", "gold": "{\"position\": \"kite\", \"relation\": \"no\"}"}
-{"id": "gen_deduce:1017", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The kite is somewhere left of the jar; The flute is somewhere right of the kite; The globe is somewhere right of the kite; The drum is somewhere right of the kite; The globe is somewhere left of the drum; The globe is second from the left; The drum is somewhere right of the jar; The jar is directly right of the globe; The drum is fifth from the left.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is third from the left?\", \"criteria\": {\"k_93f4\": \"the drum\", \"k_13f7\": \"the flute\", \"k_8e81\": \"the globe\", \"k_4da7\": \"the jar\", \"k_d0b2\": \"the kite\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The flute is left of the drum.\"}}", "gold": "{\"position\": \"k_4da7\", \"relation\": \"yes\"}"}
-{"id": "gen_deduce:1018", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The mask is somewhere right of the globe; The globe is first from the left; The mask is second from the left.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is third from the left?\", \"criteria\": {\"globe\": \"the globe\", \"kite\": \"the kite\", \"mask\": \"the mask\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The globe is left of the kite.\"}}", "gold": "{\"position\": \"kite\", \"relation\": \"yes\"}"}
-{"id": "gen_deduce:1019", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The flute is somewhere left of the drum; The flute is somewhere left of the kite; The kite is second from the left.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is first from the left?\", \"criteria\": {\"k_9260\": \"the drum\", \"k_adf0\": \"the flute\", \"k_53e8\": \"the kite\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The kite is right of the drum.\"}}", "gold": "{\"position\": \"k_adf0\", \"relation\": \"no\"}"}
-{"id": "gen_deduce:1020", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The globe is somewhere right of the lamp; The hat is somewhere right of the lamp; The flute is somewhere right of the kite; The flute is somewhere left of the globe; The flute is somewhere left of the apple; The globe is somewhere right of the hat; The apple is directly right of the hat; The flute is somewhere right of the mask; The kite is third from the left; The lamp is second from the left.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is seventh from the left?\", \"criteria\": {\"apple\": \"the apple\", \"flute\": \"the flute\", \"globe\": \"the globe\", \"hat\": \"the hat\", \"kite\": \"the kite\", \"lamp\": \"the lamp\", \"mask\": \"the mask\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The kite is right of the mask.\"}}", "gold": "{\"position\": \"globe\", \"relation\": \"yes\"}"}
-{"id": "gen_deduce:1021", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The hat is somewhere left of the lamp; The candle is somewhere left of the apple; The candle is third from the left; The lamp is somewhere right of the globe; The candle is directly right of the hat; The lamp is somewhere left of the apple.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is fifth from the left?\", \"criteria\": {\"candle\": \"the candle\", \"globe\": \"the globe\", \"hat\": \"the hat\", \"lamp\": \"the lamp\", \"none_of_these\": \"None of the other options is correct.\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The hat is right of the globe.\"}}", "gold": "{\"position\": \"none_of_these\", \"relation\": \"yes\"}"}
-{"id": "gen_deduce:1022", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The lamp is somewhere right of the drum; The flute is somewhere left of the drum.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is first from the left?\", \"criteria\": {\"drum\": \"the drum\", \"flute\": \"the flute\", \"lamp\": \"the lamp\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The flute is left of the lamp.\"}}", "gold": "{\"position\": \"flute\", \"relation\": \"yes\"}"}
-{"id": "gen_deduce:1023", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The candle is directly right of the jar; The jar is directly right of the kite.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is second from the left?\", \"criteria\": {\"candle\": \"the candle\", \"kite\": \"the kite\", \"none_of_these\": \"None of the other options is correct.\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The kite is left of the candle.\"}}", "gold": "{\"position\": \"none_of_these\", \"relation\": \"yes\"}"}
-{"id": "gen_deduce:1024", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The apple is somewhere left of the flute; The kite is somewhere left of the flute; The apple is third from the left; The drum is somewhere left of the flute; The hat is somewhere right of the book; The jar is somewhere left of the flute; The kite is first from the left; The hat is somewhere right of the drum; The drum is directly right of the apple; The flute is somewhere left of the hat; The apple is directly right of the jar; The book is somewhere right of the flute.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is fifth from the left?\", \"criteria\": {\"apple\": \"the apple\", \"book\": \"the book\", \"drum\": \"the drum\", \"flute\": \"the flute\", \"hat\": \"the hat\", \"jar\": \"the jar\", \"kite\": \"the kite\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The apple is right of the kite.\"}}", "gold": "{\"position\": \"flute\", \"relation\": \"yes\"}"}
-{"id": "gen_deduce:1025", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The kite is second from the left; The jar is somewhere left of the apple.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is first from the left?\", \"criteria\": {\"apple\": \"the apple\", \"kite\": \"the kite\", \"none_of_these\": \"None of the other options is correct.\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The jar is right of the kite.\"}}", "gold": "{\"position\": \"none_of_these\", \"relation\": \"no\"}"}
-{"id": "gen_deduce:1026", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The globe is first from the left; The mask is third from the left.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is second from the left?\", \"criteria\": {\"drum\": \"the drum\", \"globe\": \"the globe\", \"mask\": \"the mask\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The mask is left of the globe.\"}}", "gold": "{\"position\": \"drum\", \"relation\": \"no\"}"}
-{"id": "gen_deduce:1027", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The apple is directly right of the lamp; The flute is first from the left.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is third from the left?\", \"criteria\": {\"apple\": \"the apple\", \"flute\": \"the flute\", \"lamp\": \"the lamp\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The flute is right of the lamp.\"}}", "gold": "{\"position\": \"apple\", \"relation\": \"no\"}"}
-{"id": "gen_deduce:1028", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The hat is first from the left; The book is directly right of the kite; The kite is directly right of the hat; The egg is directly right of the book.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is third from the left?\", \"criteria\": {\"book\": \"the book\", \"egg\": \"the egg\", \"hat\": \"the hat\", \"kite\": \"the kite\", \"lamp\": \"the lamp\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The lamp is right of the kite.\"}}", "gold": "{\"position\": \"book\", \"relation\": \"yes\"}"}
-{"id": "gen_deduce:1029", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The apple is somewhere right of the jar; The apple is somewhere right of the drum; The apple is directly right of the jar.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is second from the left?\", \"criteria\": {\"apple\": \"the apple\", \"drum\": \"the drum\", \"jar\": \"the jar\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The drum is left of the jar.\"}}", "gold": "{\"position\": \"jar\", \"relation\": \"yes\"}"}
-{"id": "gen_deduce:1030", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The apple is first from the left; The egg is somewhere right of the kite; The kite is second from the left; The book is directly right of the egg; The jar is directly right of the book.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is third from the left?\", \"criteria\": {\"apple\": \"the apple\", \"book\": \"the book\", \"egg\": \"the egg\", \"jar\": \"the jar\", \"kite\": \"the kite\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The book is left of the apple.\"}}", "gold": "{\"position\": \"egg\", \"relation\": \"no\"}"}
-{"id": "gen_deduce:1031", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The hat is second from the left; The kite is somewhere left of the flute.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is third from the left?\", \"criteria\": {\"flute\": \"the flute\", \"hat\": \"the hat\", \"kite\": \"the kite\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The hat is right of the kite.\"}}", "gold": "{\"position\": \"flute\", \"relation\": \"yes\"}"}
-{"id": "gen_deduce:1032", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The jar is somewhere right of the kite; The kite is first from the left; The candle is directly right of the kite.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is second from the left?\", \"criteria\": {\"candle\": \"the candle\", \"jar\": \"the jar\", \"kite\": \"the kite\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The candle is right of the jar.\"}}", "gold": "{\"position\": \"candle\", \"relation\": \"no\"}"}
-{"id": "gen_deduce:1033", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The jar is somewhere right of the lamp; The jar is somewhere right of the book; The jar is directly right of the lamp.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is second from the left?\", \"criteria\": {\"k_3d4b\": \"the book\", \"k_247f\": \"the jar\", \"k_259a\": \"the lamp\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The lamp is left of the book.\"}}", "gold": "{\"position\": \"k_259a\", \"relation\": \"no\"}"}
-{"id": "gen_deduce:1034", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The candle is somewhere left of the drum; The candle is first from the left; The drum is third from the left.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is second from the left?\", \"criteria\": {\"candle\": \"the candle\", \"drum\": \"the drum\", \"egg\": \"the egg\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The egg is right of the drum.\"}}", "gold": "{\"position\": \"egg\", \"relation\": \"no\"}"}
-{"id": "gen_deduce:1035", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The egg is somewhere right of the lamp; The lamp is somewhere left of the flute; The flute is directly right of the candle; The drum is somewhere left of the egg; The flute is somewhere left of the egg; The flute is somewhere right of the drum; The drum is somewhere left of the lamp.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is fourth from the left?\", \"criteria\": {\"candle\": \"the candle\", \"drum\": \"the drum\", \"egg\": \"the egg\", \"flute\": \"the flute\", \"lamp\": \"the lamp\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The candle is right of the egg.\"}}", "gold": "{\"position\": \"flute\", \"relation\": \"no\"}"}
-{"id": "gen_deduce:1036", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The book is somewhere left of the apple; The lamp is somewhere left of the apple; The kite is somewhere right of the lamp; The apple is somewhere left of the flute; The apple is fourth from the left; The book is third from the left.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is first from the left?\", \"criteria\": {\"k_bc23\": \"the apple\", \"k_3aab\": \"the book\", \"k_e2c6\": \"the flute\", \"k_944a\": \"the kite\", \"none_of_these\": \"None of the other options is correct.\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The kite is right of the book.\"}}", "gold": "{\"position\": \"none_of_these\", \"relation\": \"no\"}"}
-{"id": "gen_deduce:1037", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The apple is somewhere right of the globe; The lamp is somewhere right of the apple.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is second from the left?\", \"criteria\": {\"apple\": \"the apple\", \"globe\": \"the globe\", \"lamp\": \"the lamp\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The globe is left of the lamp.\"}}", "gold": "{\"position\": \"apple\", \"relation\": \"yes\"}"}
-{"id": "gen_deduce:1038", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The lamp is fourth from the left; The jar is somewhere left of the book; The book is fifth from the left; The jar is directly right of the candle; The jar is third from the left.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is second from the left?\", \"criteria\": {\"book\": \"the book\", \"candle\": \"the candle\", \"hat\": \"the hat\", \"jar\": \"the jar\", \"lamp\": \"the lamp\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The lamp is left of the hat.\"}}", "gold": "{\"position\": \"candle\", \"relation\": \"no\"}"}
-{"id": "gen_deduce:1039", "source": "gen_deduce", "family": "reasoning", "licence": "CC-BY-4.0", "state": "\"Shelf puzzle: The hat is somewhere right of the jar; The jar is fourth from the left; The flute is somewhere right of the egg; The egg is somewhere right of the candle.\"", "questions": "{\"position\": {\"type\": \"choice\", \"instructions\": \"Which object is fifth from the left?\", \"criteria\": {\"candle\": \"the candle\", \"egg\": \"the egg\", \"flute\": \"the flute\", \"hat\": \"the hat\", \"jar\": \"the jar\"}}, \"relation\": {\"type\": \"noul\", \"instructions\": \"The flute is right of the jar.\"}}", "gold": "{\"position\": \"hat\", \"relation\": \"no\"}"}

data/gen_deduce/test.parquet

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data/gen_facts/test.jsonl

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-{"id": "gen_facts:904", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Lena has a job with Ion. Nora has a job with Ion. Ion's main office is located in Perth. Ivan has a job with Borealis. Borealis's main office is located in Busan. Helix's main office is located in Leeds. Cobalt's main office is located in Quito. Kofi has a job with Ion. Dana has a job with Ion. Jade has a job with Helix.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Jade's employer?\", \"criteria\": {\"Quito\": \"Quito\", \"Busan\": \"Busan\", \"Lima\": \"Lima\", \"Leeds\": \"Leeds\", \"Perth\": \"Perth\", \"Pune\": \"Pune\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ivan's employer?\", \"criteria\": {\"Quito\": \"Quito\", \"Busan\": \"Busan\", \"Lima\": \"Lima\", \"Leeds\": \"Leeds\", \"Perth\": \"Perth\", \"Pune\": \"Pune\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Lena's employer?\", \"criteria\": {\"Quito\": \"Quito\", \"Busan\": \"Busan\", \"Lima\": \"Lima\", \"Leeds\": \"Leeds\", \"Perth\": \"Perth\", \"Pune\": \"Pune\"}}}", "gold": "{\"q0\": \"Leeds\", \"q1\": \"Busan\", \"q2\": \"Perth\"}"}
-{"id": "gen_facts:905", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Chen has a job with Juniper. Fjord's main office is located in Leeds. Gus has a job with Borealis. Ava has a job with Fjord. Nora has a job with Borealis. Borealis's main office is located in Hanoi. Cobalt's main office is located in Quito. Ivan has a job with Lumen. Fay has a job with Ion. Lumen's main office is located in Fez.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ava's employer?\", \"criteria\": {\"Hanoi\": \"Hanoi\", \"Accra\": \"Accra\", \"Leeds\": \"Leeds\", \"Quito\": \"Quito\", \"Cork\": \"Cork\", \"Fez\": \"Fez\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ivan's employer?\", \"criteria\": {\"Hanoi\": \"Hanoi\", \"Accra\": \"Accra\", \"Leeds\": \"Leeds\", \"Quito\": \"Quito\", \"Cork\": \"Cork\", \"Fez\": \"Fez\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Nora's employer?\", \"criteria\": {\"Hanoi\": \"Hanoi\", \"Accra\": \"Accra\", \"Leeds\": \"Leeds\", \"Quito\": \"Quito\", \"Cork\": \"Cork\", \"Fez\": \"Fez\", \"unknown\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"Leeds\", \"q1\": \"Fez\", \"q2\": \"Hanoi\"}"}
-{"id": "gen_facts:906", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Lena has a job with Acme. Eli has a job with Evergreen. Gus has a job with Granite. Fay has a job with Granite. Granite's main office is located in Oslo. Ava has a job with Ion. Kestrel's main office is located in Accra. Acme's main office is located in Fez. Hana has a job with Ion. Ion's main office is located in Quito.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ava's employer?\", \"criteria\": {\"Quito\": \"Quito\", \"Fez\": \"Fez\", \"Pune\": \"Pune\", \"Accra\": \"Accra\", \"Oslo\": \"Oslo\", \"Busan\": \"Busan\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Lena's employer?\", \"criteria\": {\"Quito\": \"Quito\", \"Fez\": \"Fez\", \"Pune\": \"Pune\", \"Accra\": \"Accra\", \"Oslo\": \"Oslo\", \"Busan\": \"Busan\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Gus's employer?\", \"criteria\": {\"Quito\": \"Quito\", \"Fez\": \"Fez\", \"Pune\": \"Pune\", \"Accra\": \"Accra\", \"Oslo\": \"Oslo\", \"Busan\": \"Busan\"}}}", "gold": "{\"q0\": \"Quito\", \"q1\": \"Fez\", \"q2\": \"Oslo\"}"}
-{"id": "gen_facts:907", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Fjord's main office is located in Accra. Ava has a job with Cobalt. Gus has a job with Dynamo. Dynamo's main office is located in Turin. Evergreen's main office is located in Fez. Helix's main office is located in Hanoi. Ivan has a job with Evergreen. Jade has a job with Granite. Fay has a job with Cobalt. Nora has a job with Helix.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Gus's employer?\", \"criteria\": {\"Fez\": \"Fez\", \"Accra\": \"Accra\", \"Turin\": \"Turin\", \"Hanoi\": \"Hanoi\", \"Cork\": \"Cork\", \"Lima\": \"Lima\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Nora's employer?\", \"criteria\": {\"Fez\": \"Fez\", \"Accra\": \"Accra\", \"Turin\": \"Turin\", \"Hanoi\": \"Hanoi\", \"Cork\": \"Cork\", \"Lima\": \"Lima\", \"unknown\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"Turin\", \"q1\": \"Hanoi\"}"}
-{"id": "gen_facts:908", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Jade has a job with Acme. Kestrel's main office is located in Quito. Cobalt's main office is located in Lima. Ivan has a job with Acme. Milo has a job with Acme. Acme's main office is located in Turin. Lumen's main office is located in Oslo. Dana has a job with Lumen. Ava has a job with Evergreen. Hana has a job with Evergreen.\"", "questions": "{\"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ivan's employer?\", \"criteria\": {\"k_3bc6\": \"Turin\", \"k_9061\": \"Oslo\", \"k_3648\": \"Cork\", \"k_50c9\": \"Busan\", \"k_0f07\": \"Lima\", \"k_55ab\": \"Quito\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ava's employer?\", \"criteria\": {\"k_cf9e\": \"Turin\", \"k_dd61\": \"Oslo\", \"k_49c8\": \"Cork\", \"k_4af6\": \"Busan\", \"k_202f\": \"Lima\", \"k_1141\": \"Quito\", \"k_2107\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q1\": \"k_3bc6\", \"q2\": \"k_2107\"}"}
-{"id": "gen_facts:909", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Helix's main office is located in Fez. Chen has a job with Fjord. Dana has a job with Lumen. Fjord's main office is located in Cork. Fay has a job with Lumen. Ion's main office is located in Hanoi. Jade has a job with Lumen. Lumen's main office is located in Pune. Lena has a job with Ion. Kofi has a job with Acme.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Lena's employer?\", \"criteria\": {\"Cork\": \"Cork\", \"Quito\": \"Quito\", \"Pune\": \"Pune\", \"Hanoi\": \"Hanoi\", \"Fez\": \"Fez\", \"Leeds\": \"Leeds\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Chen's employer?\", \"criteria\": {\"Cork\": \"Cork\", \"Quito\": \"Quito\", \"Pune\": \"Pune\", \"Hanoi\": \"Hanoi\", \"Fez\": \"Fez\", \"Leeds\": \"Leeds\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Fay's employer?\", \"criteria\": {\"Cork\": \"Cork\", \"Quito\": \"Quito\", \"Pune\": \"Pune\", \"Hanoi\": \"Hanoi\", \"Fez\": \"Fez\", \"Leeds\": \"Leeds\"}}}", "gold": "{\"q0\": \"Hanoi\", \"q1\": \"Cork\", \"q2\": \"Pune\"}"}
-{"id": "gen_facts:910", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Fay has a job with Borealis. Kofi has a job with Granite. Hana has a job with Kestrel. Lena has a job with Dynamo. Helix's main office is located in Pune. Juniper's main office is located in Busan. Kestrel's main office is located in Turin. Jade has a job with Helix. Granite's main office is located in Perth. Nora has a job with Kestrel.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Jade's employer?\", \"criteria\": {\"Pune\": \"Pune\", \"Perth\": \"Perth\", \"Lima\": \"Lima\", \"Turin\": \"Turin\", \"Oslo\": \"Oslo\", \"Busan\": \"Busan\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Hana's employer?\", \"criteria\": {\"Pune\": \"Pune\", \"Perth\": \"Perth\", \"Lima\": \"Lima\", \"Turin\": \"Turin\", \"Oslo\": \"Oslo\", \"Busan\": \"Busan\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Kofi's employer?\", \"criteria\": {\"Pune\": \"Pune\", \"Perth\": \"Perth\", \"Lima\": \"Lima\", \"Turin\": \"Turin\", \"Oslo\": \"Oslo\", \"Busan\": \"Busan\", \"unknown\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"Pune\", \"q1\": \"Turin\", \"q2\": \"Perth\"}"}
-{"id": "gen_facts:911", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Jade has a job with Helix. Dana has a job with Helix. Nora has a job with Cobalt. Juniper's main office is located in Perth. Helix's main office is located in Quito. Lumen's main office is located in Accra. Evergreen's main office is located in Leeds. Eli has a job with Helix. Fay has a job with Juniper. Ivan has a job with Acme.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Nora's employer?\", \"criteria\": {\"Accra\": \"Accra\", \"Quito\": \"Quito\", \"Lima\": \"Lima\", \"Perth\": \"Perth\", \"Leeds\": \"Leeds\", \"Pune\": \"Pune\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Dana's employer?\", \"criteria\": {\"Accra\": \"Accra\", \"Quito\": \"Quito\", \"Lima\": \"Lima\", \"Perth\": \"Perth\", \"Leeds\": \"Leeds\", \"Pune\": \"Pune\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Fay's employer?\", \"criteria\": {\"Accra\": \"Accra\", \"Quito\": \"Quito\", \"Lima\": \"Lima\", \"Perth\": \"Perth\", \"Leeds\": \"Leeds\", \"Pune\": \"Pune\"}}}", "gold": "{\"q0\": \"unknown\", \"q1\": \"Quito\", \"q2\": \"Perth\"}"}
-{"id": "gen_facts:912", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Cobalt's main office is located in Fez. Nora has a job with Granite. Acme's main office is located in Leeds. Kestrel's main office is located in Hanoi. Ivan has a job with Juniper. Chen has a job with Helix. Kofi has a job with Helix. Dana has a job with Cobalt. Helix's main office is located in Turin. Ben has a job with Juniper.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ivan's employer?\", \"criteria\": {\"Turin\": \"Turin\", \"Fez\": \"Fez\", \"Leeds\": \"Leeds\", \"Lima\": \"Lima\", \"Hanoi\": \"Hanoi\", \"Perth\": \"Perth\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Chen's employer?\", \"criteria\": {\"Turin\": \"Turin\", \"Fez\": \"Fez\", \"Leeds\": \"Leeds\", \"Lima\": \"Lima\", \"Hanoi\": \"Hanoi\", \"Perth\": \"Perth\"}}}", "gold": "{\"q0\": \"unknown\", \"q1\": \"Turin\"}"}
-{"id": "gen_facts:913", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Kofi has a job with Juniper. Kestrel's main office is located in Lima. Chen has a job with Helix. Dynamo's main office is located in Fez. Dana has a job with Helix. Fjord's main office is located in Quito. Granite's main office is located in Accra. Nora has a job with Kestrel. Milo has a job with Helix. Eli has a job with Fjord.\"", "questions": "{\"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Dana's employer?\", \"criteria\": {\"Quito\": \"Quito\", \"Cork\": \"Cork\", \"Lima\": \"Lima\", \"Leeds\": \"Leeds\", \"Fez\": \"Fez\", \"Accra\": \"Accra\", \"unknown\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q2\": \"unknown\"}"}
-{"id": "gen_facts:914", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Lena has a job with Evergreen. Evergreen's main office is located in Busan. Eli has a job with Fjord. Cobalt's main office is located in Lima. Dynamo's main office is located in Accra. Nora has a job with Evergreen. Ivan has a job with Evergreen. Juniper's main office is located in Perth. Hana has a job with Cobalt. Dana has a job with Dynamo.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Eli's employer?\", \"criteria\": {\"Accra\": \"Accra\", \"Busan\": \"Busan\", \"Lima\": \"Lima\", \"Turin\": \"Turin\", \"Perth\": \"Perth\", \"Leeds\": \"Leeds\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Dana's employer?\", \"criteria\": {\"Accra\": \"Accra\", \"Busan\": \"Busan\", \"Lima\": \"Lima\", \"Turin\": \"Turin\", \"Perth\": \"Perth\", \"Leeds\": \"Leeds\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ivan's employer?\", \"criteria\": {\"Accra\": \"Accra\", \"Busan\": \"Busan\", \"Lima\": \"Lima\", \"Turin\": \"Turin\", \"Perth\": \"Perth\", \"Leeds\": \"Leeds\", \"unknown\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"unknown\", \"q1\": \"Accra\", \"q2\": \"Busan\"}"}
-{"id": "gen_facts:915", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Jade has a job with Acme. Cobalt's main office is located in Hanoi. Gus has a job with Dynamo. Ivan has a job with Dynamo. Juniper's main office is located in Pune. Hana has a job with Evergreen. Nora has a job with Acme. Evergreen's main office is located in Cork. Chen has a job with Evergreen. Dynamo's main office is located in Lima.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Hana's employer?\", \"criteria\": {\"k_f3f3\": \"Pune\", \"k_d906\": \"Cork\", \"k_5beb\": \"Lima\", \"k_0ffa\": \"Hanoi\", \"k_2b19\": \"Leeds\", \"k_6a54\": \"Turin\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Jade's employer?\", \"criteria\": {\"k_ab0e\": \"Pune\", \"k_8078\": \"Cork\", \"k_d286\": \"Lima\", \"k_46b6\": \"Hanoi\", \"k_f657\": \"Leeds\", \"k_f708\": \"Turin\", \"k_64cb\": \"The state does not give enough information to decide.\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Chen's employer?\", \"criteria\": {\"k_4ed1\": \"Pune\", \"k_3f76\": \"Cork\", \"k_ade1\": \"Lima\", \"k_6165\": \"Hanoi\", \"k_bbad\": \"Leeds\", \"k_6c5d\": \"Turin\", \"k_bb25\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"k_d906\", \"q1\": \"k_64cb\", \"q2\": \"k_3f76\"}"}
-{"id": "gen_facts:916", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Ben has a job with Fjord. Borealis's main office is located in Accra. Dynamo's main office is located in Leeds. Lena has a job with Cobalt. Jade has a job with Evergreen. Ava has a job with Evergreen. Evergreen's main office is located in Pune. Nora has a job with Dynamo. Ion's main office is located in Quito. Dana has a job with Borealis.\"", "questions": "{\"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Nora's employer?\", \"criteria\": {\"Accra\": \"Accra\", \"Cork\": \"Cork\", \"Leeds\": \"Leeds\", \"Busan\": \"Busan\", \"Pune\": \"Pune\", \"Quito\": \"Quito\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Lena's employer?\", \"criteria\": {\"Accra\": \"Accra\", \"Cork\": \"Cork\", \"Leeds\": \"Leeds\", \"Busan\": \"Busan\", \"Pune\": \"Pune\", \"Quito\": \"Quito\", \"unknown\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q1\": \"Leeds\", \"q2\": \"unknown\"}"}
-{"id": "gen_facts:917", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Acme's main office is located in Turin. Dynamo's main office is located in Leeds. Hana has a job with Evergreen. Cobalt's main office is located in Lima. Ivan has a job with Borealis. Nora has a job with Borealis. Evergreen's main office is located in Hanoi. Lena has a job with Cobalt. Chen has a job with Borealis. Gus has a job with Evergreen.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Gus's employer?\", \"criteria\": {\"Hanoi\": \"Hanoi\", \"Turin\": \"Turin\", \"Leeds\": \"Leeds\", \"Perth\": \"Perth\", \"Lima\": \"Lima\", \"Fez\": \"Fez\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Nora's employer?\", \"criteria\": {\"Hanoi\": \"Hanoi\", \"Turin\": \"Turin\", \"Leeds\": \"Leeds\", \"Perth\": \"Perth\", \"Lima\": \"Lima\", \"Fez\": \"Fez\", \"unknown\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"Hanoi\", \"q1\": \"unknown\"}"}
-{"id": "gen_facts:918", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Fjord's main office is located in Hanoi. Milo has a job with Lumen. Dana has a job with Granite. Ion's main office is located in Lima. Ivan has a job with Fjord. Acme's main office is located in Oslo. Eli has a job with Ion. Granite's main office is located in Fez. Ava has a job with Granite. Jade has a job with Borealis.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ivan's employer?\", \"criteria\": {\"k_b623\": \"Hanoi\", \"k_2856\": \"Busan\", \"k_9cee\": \"Fez\", \"k_b3f8\": \"Oslo\", \"k_b37c\": \"Lima\", \"k_bd4e\": \"Perth\", \"k_41fb\": \"The state does not give enough information to decide.\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ava's employer?\", \"criteria\": {\"k_513f\": \"Hanoi\", \"k_2a99\": \"Busan\", \"k_117f\": \"Fez\", \"k_a7d1\": \"Oslo\", \"k_4825\": \"Lima\", \"k_d7c2\": \"Perth\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Eli's employer?\", \"criteria\": {\"k_df60\": \"Hanoi\", \"k_3225\": \"Busan\", \"k_aa9d\": \"Fez\", \"k_5749\": \"Oslo\", \"k_26c3\": \"Lima\", \"k_49f6\": \"Perth\"}}}", "gold": "{\"q0\": \"k_b623\", \"q1\": \"k_117f\", \"q2\": \"k_26c3\"}"}
-{"id": "gen_facts:919", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Dynamo's main office is located in Oslo. Chen has a job with Kestrel. Juniper's main office is located in Turin. Ion's main office is located in Lima. Hana has a job with Ion. Dana has a job with Kestrel. Ava has a job with Fjord. Jade has a job with Ion. Fjord's main office is located in Quito. Fay has a job with Fjord.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Jade's employer?\", \"criteria\": {\"k_2238\": \"Lima\", \"k_e401\": \"Leeds\", \"k_eb60\": \"Fez\", \"k_ffc0\": \"Turin\", \"k_9f0b\": \"Quito\", \"k_bc13\": \"Oslo\", \"k_045f\": \"The state does not give enough information to decide.\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Fay's employer?\", \"criteria\": {\"k_a264\": \"Lima\", \"k_0822\": \"Leeds\", \"k_5488\": \"Fez\", \"k_7622\": \"Turin\", \"k_0b84\": \"Quito\", \"k_950b\": \"Oslo\", \"k_699c\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"k_2238\", \"q2\": \"k_0b84\"}"}
-{"id": "gen_facts:920", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Kofi has a job with Lumen. Evergreen's main office is located in Turin. Lumen's main office is located in Accra. Jade has a job with Granite. Juniper's main office is located in Busan. Eli has a job with Evergreen. Gus has a job with Fjord. Milo has a job with Granite. Dynamo's main office is located in Pune. Ivan has a job with Evergreen.\"", "questions": "{\"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Eli's employer?\", \"criteria\": {\"Cork\": \"Cork\", \"Lima\": \"Lima\", \"Turin\": \"Turin\", \"Busan\": \"Busan\", \"Accra\": \"Accra\", \"Pune\": \"Pune\"}}}", "gold": "{\"q1\": \"Turin\"}"}
-{"id": "gen_facts:921", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Jade has a job with Borealis. Acme's main office is located in Quito. Lena has a job with Helix. Eli has a job with Helix. Chen has a job with Acme. Granite's main office is located in Hanoi. Ava has a job with Acme. Ion's main office is located in Leeds. Hana has a job with Granite. Kestrel's main office is located in Turin.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Chen's employer?\", \"criteria\": {\"Accra\": \"Accra\", \"Cork\": \"Cork\", \"Turin\": \"Turin\", \"Hanoi\": \"Hanoi\", \"Leeds\": \"Leeds\", \"Quito\": \"Quito\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Jade's employer?\", \"criteria\": {\"Accra\": \"Accra\", \"Cork\": \"Cork\", \"Turin\": \"Turin\", \"Hanoi\": \"Hanoi\", \"Leeds\": \"Leeds\", \"Quito\": \"Quito\", \"unknown\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"Quito\", \"q1\": \"unknown\"}"}
-{"id": "gen_facts:922", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Jade has a job with Lumen. Ion's main office is located in Quito. Lumen's main office is located in Lima. Evergreen's main office is located in Fez. Ava has a job with Lumen. Gus has a job with Juniper. Lena has a job with Ion. Juniper's main office is located in Turin. Fay has a job with Evergreen. Ivan has a job with Evergreen.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ava's employer?\", \"criteria\": {\"k_823f\": \"Fez\", \"k_2298\": \"Accra\", \"k_56ed\": \"Hanoi\", \"k_b2ef\": \"Quito\", \"k_3ddc\": \"Lima\", \"k_c667\": \"Turin\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ivan's employer?\", \"criteria\": {\"k_6107\": \"Fez\", \"k_29c4\": \"Accra\", \"k_e680\": \"Hanoi\", \"k_587d\": \"Quito\", \"k_fb1c\": \"Lima\", \"k_edc6\": \"Turin\", \"k_d5ae\": \"The state does not give enough information to decide.\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Fay's employer?\", \"criteria\": {\"k_f552\": \"Fez\", \"k_0f95\": \"Accra\", \"k_09ac\": \"Hanoi\", \"k_1e4a\": \"Quito\", \"k_71ca\": \"Lima\", \"k_bdf7\": \"Turin\"}}}", "gold": "{\"q0\": \"k_3ddc\", \"q1\": \"k_6107\", \"q2\": \"k_f552\"}"}
-{"id": "gen_facts:923", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Hana has a job with Evergreen. Kofi has a job with Cobalt. Cobalt's main office is located in Busan. Ivan has a job with Cobalt. Dana has a job with Fjord. Acme's main office is located in Oslo. Jade has a job with Dynamo. Ben has a job with Fjord. Evergreen's main office is located in Hanoi. Dynamo's main office is located in Leeds.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Kofi's employer?\", \"criteria\": {\"Lima\": \"Lima\", \"Quito\": \"Quito\", \"Hanoi\": \"Hanoi\", \"Oslo\": \"Oslo\", \"Busan\": \"Busan\", \"Leeds\": \"Leeds\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ivan's employer?\", \"criteria\": {\"Lima\": \"Lima\", \"Quito\": \"Quito\", \"Hanoi\": \"Hanoi\", \"Oslo\": \"Oslo\", \"Busan\": \"Busan\", \"Leeds\": \"Leeds\", \"unknown\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"Busan\", \"q1\": \"Busan\"}"}
-{"id": "gen_facts:924", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Borealis's main office is located in Oslo. Helix's main office is located in Lima. Fay has a job with Evergreen. Ivan has a job with Granite. Dynamo's main office is located in Turin. Kestrel's main office is located in Pune. Nora has a job with Evergreen. Ava has a job with Kestrel. Eli has a job with Kestrel. Milo has a job with Granite.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Eli's employer?\", \"criteria\": {\"Lima\": \"Lima\", \"Oslo\": \"Oslo\", \"Turin\": \"Turin\", \"Hanoi\": \"Hanoi\", \"Accra\": \"Accra\", \"Pune\": \"Pune\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ivan's employer?\", \"criteria\": {\"Lima\": \"Lima\", \"Oslo\": \"Oslo\", \"Turin\": \"Turin\", \"Hanoi\": \"Hanoi\", \"Accra\": \"Accra\", \"Pune\": \"Pune\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Fay's employer?\", \"criteria\": {\"Lima\": \"Lima\", \"Oslo\": \"Oslo\", \"Turin\": \"Turin\", \"Hanoi\": \"Hanoi\", \"Accra\": \"Accra\", \"Pune\": \"Pune\", \"unknown\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"Pune\", \"q1\": \"unknown\", \"q2\": \"unknown\"}"}
-{"id": "gen_facts:925", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Kofi has a job with Juniper. Gus has a job with Helix. Fjord's main office is located in Pune. Dana has a job with Fjord. Fay has a job with Helix. Juniper's main office is located in Busan. Cobalt's main office is located in Leeds. Lena has a job with Dynamo. Kestrel's main office is located in Oslo. Ava has a job with Cobalt.\"", "questions": "{\"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Dana's employer?\", \"criteria\": {\"k_6866\": \"Lima\", \"k_96e6\": \"Pune\", \"k_0436\": \"Oslo\", \"k_e696\": \"Busan\", \"k_39fa\": \"Fez\", \"k_2ce1\": \"Leeds\"}}}", "gold": "{\"q1\": \"k_96e6\"}"}
-{"id": "gen_facts:926", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Gus has a job with Kestrel. Juniper's main office is located in Leeds. Eli has a job with Dynamo. Dynamo's main office is located in Hanoi. Ivan has a job with Granite. Ben has a job with Evergreen. Fay has a job with Juniper. Evergreen's main office is located in Perth. Granite's main office is located in Lima. Ava has a job with Dynamo.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Eli's employer?\", \"criteria\": {\"k_b4f6\": \"Lima\", \"k_1ade\": \"Cork\", \"k_39f9\": \"Leeds\", \"k_c4c5\": \"Accra\", \"k_bef0\": \"Hanoi\", \"k_3892\": \"Perth\", \"k_f135\": \"The state does not give enough information to decide.\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ivan's employer?\", \"criteria\": {\"k_76fd\": \"Lima\", \"k_f568\": \"Cork\", \"k_ea9c\": \"Leeds\", \"k_18f2\": \"Accra\", \"k_08d1\": \"Hanoi\", \"k_bebe\": \"Perth\", \"k_0a9d\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"k_bef0\", \"q1\": \"k_76fd\"}"}
-{"id": "gen_facts:927", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Granite's main office is located in Oslo. Fjord's main office is located in Fez. Ava has a job with Cobalt. Kofi has a job with Lumen. Ben has a job with Cobalt. Juniper's main office is located in Pune. Chen has a job with Fjord. Eli has a job with Lumen. Lumen's main office is located in Cork. Ivan has a job with Cobalt.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Chen's employer?\", \"criteria\": {\"Cork\": \"Cork\", \"Pune\": \"Pune\", \"Hanoi\": \"Hanoi\", \"Fez\": \"Fez\", \"Oslo\": \"Oslo\", \"Leeds\": \"Leeds\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ben's employer?\", \"criteria\": {\"Cork\": \"Cork\", \"Pune\": \"Pune\", \"Hanoi\": \"Hanoi\", \"Fez\": \"Fez\", \"Oslo\": \"Oslo\", \"Leeds\": \"Leeds\", \"unknown\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"Fez\", \"q1\": \"unknown\"}"}
-{"id": "gen_facts:928", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Fjord's main office is located in Turin. Nora has a job with Evergreen. Chen has a job with Ion. Jade has a job with Helix. Fay has a job with Fjord. Dynamo's main office is located in Quito. Helix's main office is located in Lima. Kofi has a job with Helix. Ben has a job with Ion. Borealis's main office is located in Leeds.\"", "questions": "{\"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Fay's employer?\", \"criteria\": {\"Busan\": \"Busan\", \"Perth\": \"Perth\", \"Quito\": \"Quito\", \"Lima\": \"Lima\", \"Leeds\": \"Leeds\", \"Turin\": \"Turin\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Jade's employer?\", \"criteria\": {\"Busan\": \"Busan\", \"Perth\": \"Perth\", \"Quito\": \"Quito\", \"Lima\": \"Lima\", \"Leeds\": \"Leeds\", \"Turin\": \"Turin\", \"unknown\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q1\": \"Turin\", \"q2\": \"Lima\"}"}
-{"id": "gen_facts:929", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Fay has a job with Fjord. Juniper's main office is located in Hanoi. Kofi has a job with Evergreen. Ben has a job with Evergreen. Cobalt's main office is located in Busan. Hana has a job with Cobalt. Gus has a job with Juniper. Borealis's main office is located in Oslo. Dana has a job with Juniper. Kestrel's main office is located in Lima.\"", "questions": "{\"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Gus's employer?\", \"criteria\": {\"Busan\": \"Busan\", \"Fez\": \"Fez\", \"Oslo\": \"Oslo\", \"Hanoi\": \"Hanoi\", \"Lima\": \"Lima\", \"Quito\": \"Quito\", \"unknown\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q2\": \"Hanoi\"}"}
-{"id": "gen_facts:930", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Juniper's main office is located in Busan. Ion's main office is located in Perth. Dana has a job with Cobalt. Ben has a job with Juniper. Eli has a job with Cobalt. Lumen's main office is located in Turin. Lena has a job with Cobalt. Ivan has a job with Juniper. Kofi has a job with Cobalt. Fjord's main office is located in Oslo.\"", "questions": "{\"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Lena's employer?\", \"criteria\": {\"Perth\": \"Perth\", \"Turin\": \"Turin\", \"Oslo\": \"Oslo\", \"Busan\": \"Busan\", \"Quito\": \"Quito\", \"Fez\": \"Fez\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Dana's employer?\", \"criteria\": {\"Perth\": \"Perth\", \"Turin\": \"Turin\", \"Oslo\": \"Oslo\", \"Busan\": \"Busan\", \"Quito\": \"Quito\", \"Fez\": \"Fez\", \"unknown\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q1\": \"unknown\", \"q2\": \"unknown\"}"}
-{"id": "gen_facts:931", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Kestrel's main office is located in Lima. Dynamo's main office is located in Fez. Borealis's main office is located in Perth. Jade has a job with Helix. Dana has a job with Acme. Ava has a job with Borealis. Acme's main office is located in Cork. Chen has a job with Dynamo. Eli has a job with Helix. Kofi has a job with Acme.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Chen's employer?\", \"criteria\": {\"Lima\": \"Lima\", \"Turin\": \"Turin\", \"Oslo\": \"Oslo\", \"Fez\": \"Fez\", \"Perth\": \"Perth\", \"Cork\": \"Cork\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Dana's employer?\", \"criteria\": {\"Lima\": \"Lima\", \"Turin\": \"Turin\", \"Oslo\": \"Oslo\", \"Fez\": \"Fez\", \"Perth\": \"Perth\", \"Cork\": \"Cork\"}}}", "gold": "{\"q0\": \"Fez\", \"q1\": \"Cork\"}"}
-{"id": "gen_facts:932", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Ion's main office is located in Busan. Lena has a job with Granite. Dynamo's main office is located in Accra. Milo has a job with Dynamo. Acme's main office is located in Perth. Nora has a job with Lumen. Dana has a job with Dynamo. Gus has a job with Lumen. Kofi has a job with Dynamo. Granite's main office is located in Quito.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Dana's employer?\", \"criteria\": {\"Lima\": \"Lima\", \"Quito\": \"Quito\", \"Accra\": \"Accra\", \"Busan\": \"Busan\", \"Turin\": \"Turin\", \"Perth\": \"Perth\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Kofi's employer?\", \"criteria\": {\"Lima\": \"Lima\", \"Quito\": \"Quito\", \"Accra\": \"Accra\", \"Busan\": \"Busan\", \"Turin\": \"Turin\", \"Perth\": \"Perth\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Milo's employer?\", \"criteria\": {\"Lima\": \"Lima\", \"Quito\": \"Quito\", \"Accra\": \"Accra\", \"Busan\": \"Busan\", \"Turin\": \"Turin\", \"Perth\": \"Perth\"}}}", "gold": "{\"q0\": \"Accra\", \"q1\": \"Accra\", \"q2\": \"Accra\"}"}
-{"id": "gen_facts:933", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Dynamo's main office is located in Quito. Ben has a job with Lumen. Lumen's main office is located in Lima. Dana has a job with Fjord. Evergreen's main office is located in Pune. Gus has a job with Fjord. Ivan has a job with Acme. Milo has a job with Dynamo. Ion's main office is located in Cork. Hana has a job with Evergreen.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Gus's employer?\", \"criteria\": {\"k_b942\": \"Cork\", \"k_b141\": \"Hanoi\", \"k_3908\": \"Quito\", \"k_fd4f\": \"Lima\", \"k_309e\": \"Oslo\", \"k_9256\": \"Pune\", \"k_fdfd\": \"The state does not give enough information to decide.\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Dana's employer?\", \"criteria\": {\"k_2059\": \"Cork\", \"k_6487\": \"Hanoi\", \"k_ca02\": \"Quito\", \"k_951c\": \"Lima\", \"k_34b4\": \"Oslo\", \"k_4368\": \"Pune\", \"k_cae9\": \"The state does not give enough information to decide.\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Milo's employer?\", \"criteria\": {\"k_2d88\": \"Cork\", \"k_9c21\": \"Hanoi\", \"k_02cc\": \"Quito\", \"k_93fb\": \"Lima\", \"k_d6ca\": \"Oslo\", \"k_5c8c\": \"Pune\", \"k_8c96\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"k_fdfd\", \"q1\": \"k_cae9\", \"q2\": \"k_02cc\"}"}
-{"id": "gen_facts:934", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Borealis's main office is located in Pune. Hana has a job with Borealis. Milo has a job with Cobalt. Ben has a job with Evergreen. Granite's main office is located in Leeds. Jade has a job with Cobalt. Evergreen's main office is located in Busan. Eli has a job with Kestrel. Fay has a job with Ion. Ion's main office is located in Perth.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Milo's employer?\", \"criteria\": {\"Perth\": \"Perth\", \"Pune\": \"Pune\", \"Turin\": \"Turin\", \"Leeds\": \"Leeds\", \"Busan\": \"Busan\", \"Cork\": \"Cork\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Jade's employer?\", \"criteria\": {\"Perth\": \"Perth\", \"Pune\": \"Pune\", \"Turin\": \"Turin\", \"Leeds\": \"Leeds\", \"Busan\": \"Busan\", \"Cork\": \"Cork\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Fay's employer?\", \"criteria\": {\"Perth\": \"Perth\", \"Pune\": \"Pune\", \"Turin\": \"Turin\", \"Leeds\": \"Leeds\", \"Busan\": \"Busan\", \"Cork\": \"Cork\", \"unknown\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"unknown\", \"q1\": \"unknown\", \"q2\": \"Perth\"}"}
-{"id": "gen_facts:935", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Cobalt's main office is located in Turin. Hana has a job with Cobalt. Juniper's main office is located in Perth. Kofi has a job with Dynamo. Chen has a job with Granite. Dynamo's main office is located in Accra. Nora has a job with Helix. Jade has a job with Helix. Granite's main office is located in Fez. Lena has a job with Helix.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Nora's employer?\", \"criteria\": {\"Fez\": \"Fez\", \"Lima\": \"Lima\", \"Hanoi\": \"Hanoi\", \"Accra\": \"Accra\", \"Perth\": \"Perth\", \"Turin\": \"Turin\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Kofi's employer?\", \"criteria\": {\"Fez\": \"Fez\", \"Lima\": \"Lima\", \"Hanoi\": \"Hanoi\", \"Accra\": \"Accra\", \"Perth\": \"Perth\", \"Turin\": \"Turin\"}}}", "gold": "{\"q0\": \"unknown\", \"q1\": \"Accra\"}"}
-{"id": "gen_facts:936", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Fay has a job with Fjord. Lena has a job with Lumen. Dana has a job with Dynamo. Granite's main office is located in Pune. Fjord's main office is located in Turin. Dynamo's main office is located in Hanoi. Lumen's main office is located in Leeds. Ava has a job with Kestrel. Chen has a job with Kestrel. Gus has a job with Kestrel.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Lena's employer?\", \"criteria\": {\"Turin\": \"Turin\", \"Oslo\": \"Oslo\", \"Hanoi\": \"Hanoi\", \"Lima\": \"Lima\", \"Leeds\": \"Leeds\", \"Pune\": \"Pune\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Dana's employer?\", \"criteria\": {\"Turin\": \"Turin\", \"Oslo\": \"Oslo\", \"Hanoi\": \"Hanoi\", \"Lima\": \"Lima\", \"Leeds\": \"Leeds\", \"Pune\": \"Pune\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Fay's employer?\", \"criteria\": {\"Turin\": \"Turin\", \"Oslo\": \"Oslo\", \"Hanoi\": \"Hanoi\", \"Lima\": \"Lima\", \"Leeds\": \"Leeds\", \"Pune\": \"Pune\"}}}", "gold": "{\"q0\": \"Leeds\", \"q1\": \"Hanoi\", \"q2\": \"Turin\"}"}
-{"id": "gen_facts:937", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Ben has a job with Granite. Borealis's main office is located in Turin. Cobalt's main office is located in Busan. Fay has a job with Acme. Dynamo's main office is located in Oslo. Ivan has a job with Borealis. Chen has a job with Helix. Jade has a job with Cobalt. Nora has a job with Dynamo. Granite's main office is located in Fez.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ivan's employer?\", \"criteria\": {\"Accra\": \"Accra\", \"Busan\": \"Busan\", \"Fez\": \"Fez\", \"Oslo\": \"Oslo\", \"Turin\": \"Turin\", \"Leeds\": \"Leeds\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ben's employer?\", \"criteria\": {\"Accra\": \"Accra\", \"Busan\": \"Busan\", \"Fez\": \"Fez\", \"Oslo\": \"Oslo\", \"Turin\": \"Turin\", \"Leeds\": \"Leeds\"}}}", "gold": "{\"q0\": \"Turin\", \"q1\": \"Fez\"}"}
-{"id": "gen_facts:938", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Ben has a job with Cobalt. Juniper's main office is located in Busan. Lena has a job with Juniper. Granite's main office is located in Cork. Fjord's main office is located in Leeds. Gus has a job with Borealis. Borealis's main office is located in Fez. Eli has a job with Cobalt. Dana has a job with Cobalt. Kofi has a job with Borealis.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Kofi's employer?\", \"criteria\": {\"Busan\": \"Busan\", \"Fez\": \"Fez\", \"Lima\": \"Lima\", \"Leeds\": \"Leeds\", \"Oslo\": \"Oslo\", \"Cork\": \"Cork\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Lena's employer?\", \"criteria\": {\"Busan\": \"Busan\", \"Fez\": \"Fez\", \"Lima\": \"Lima\", \"Leeds\": \"Leeds\", \"Oslo\": \"Oslo\", \"Cork\": \"Cork\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Gus's employer?\", \"criteria\": {\"Busan\": \"Busan\", \"Fez\": \"Fez\", \"Lima\": \"Lima\", \"Leeds\": \"Leeds\", \"Oslo\": \"Oslo\", \"Cork\": \"Cork\"}}}", "gold": "{\"q0\": \"Fez\", \"q1\": \"Busan\", \"q2\": \"Fez\"}"}
-{"id": "gen_facts:939", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Acme's main office is located in Leeds. Milo has a job with Acme. Chen has a job with Acme. Ben has a job with Borealis. Juniper's main office is located in Lima. Kofi has a job with Kestrel. Borealis's main office is located in Cork. Nora has a job with Juniper. Ava has a job with Evergreen. Kestrel's main office is located in Turin.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ben's employer?\", \"criteria\": {\"k_91b8\": \"Cork\", \"k_eedd\": \"Turin\", \"k_1d5d\": \"Leeds\", \"k_c9cc\": \"Quito\", \"k_9470\": \"Lima\", \"k_22c0\": \"Oslo\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Chen's employer?\", \"criteria\": {\"k_db6d\": \"Cork\", \"k_acef\": \"Turin\", \"k_fcba\": \"Leeds\", \"k_a1c9\": \"Quito\", \"k_4aa0\": \"Lima\", \"k_1cba\": \"Oslo\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ava's employer?\", \"criteria\": {\"k_1cba\": \"Cork\", \"k_6de9\": \"Turin\", \"k_18d8\": \"Leeds\", \"k_714f\": \"Quito\", \"k_f55d\": \"Lima\", \"k_fd08\": \"Oslo\", \"k_1a24\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"k_91b8\", \"q1\": \"k_fcba\", \"q2\": \"k_1a24\"}"}
-{"id": "gen_facts:940", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Helix's main office is located in Fez. Evergreen's main office is located in Quito. Ivan has a job with Borealis. Borealis's main office is located in Cork. Gus has a job with Granite. Juniper's main office is located in Perth. Milo has a job with Borealis. Ben has a job with Helix. Dana has a job with Borealis. Kofi has a job with Granite.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ben's employer?\", \"criteria\": {\"Perth\": \"Perth\", \"Fez\": \"Fez\", \"Accra\": \"Accra\", \"Cork\": \"Cork\", \"Quito\": \"Quito\", \"Turin\": \"Turin\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Gus's employer?\", \"criteria\": {\"Perth\": \"Perth\", \"Fez\": \"Fez\", \"Accra\": \"Accra\", \"Cork\": \"Cork\", \"Quito\": \"Quito\", \"Turin\": \"Turin\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Dana's employer?\", \"criteria\": {\"Perth\": \"Perth\", \"Fez\": \"Fez\", \"Accra\": \"Accra\", \"Cork\": \"Cork\", \"Quito\": \"Quito\", \"Turin\": \"Turin\", \"unknown\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"Fez\", \"q1\": \"unknown\", \"q2\": \"Cork\"}"}
-{"id": "gen_facts:941", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Milo has a job with Evergreen. Kofi has a job with Evergreen. Kestrel's main office is located in Fez. Hana has a job with Granite. Fjord's main office is located in Accra. Granite's main office is located in Turin. Lena has a job with Kestrel. Ben has a job with Fjord. Evergreen's main office is located in Quito. Eli has a job with Juniper.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Lena's employer?\", \"criteria\": {\"Fez\": \"Fez\", \"Quito\": \"Quito\", \"Perth\": \"Perth\", \"Hanoi\": \"Hanoi\", \"Turin\": \"Turin\", \"Accra\": \"Accra\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Kofi's employer?\", \"criteria\": {\"Fez\": \"Fez\", \"Quito\": \"Quito\", \"Perth\": \"Perth\", \"Hanoi\": \"Hanoi\", \"Turin\": \"Turin\", \"Accra\": \"Accra\"}}}", "gold": "{\"q0\": \"Fez\", \"q2\": \"Quito\"}"}
-{"id": "gen_facts:942", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Borealis's main office is located in Hanoi. Ion's main office is located in Pune. Lena has a job with Helix. Cobalt's main office is located in Quito. Granite's main office is located in Leeds. Ava has a job with Borealis. Dana has a job with Borealis. Ivan has a job with Borealis. Nora has a job with Cobalt. Milo has a job with Evergreen.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Dana's employer?\", \"criteria\": {\"Quito\": \"Quito\", \"Perth\": \"Perth\", \"Pune\": \"Pune\", \"Accra\": \"Accra\", \"Leeds\": \"Leeds\", \"Hanoi\": \"Hanoi\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Lena's employer?\", \"criteria\": {\"Quito\": \"Quito\", \"Perth\": \"Perth\", \"Pune\": \"Pune\", \"Accra\": \"Accra\", \"Leeds\": \"Leeds\", \"Hanoi\": \"Hanoi\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ivan's employer?\", \"criteria\": {\"Quito\": \"Quito\", \"Perth\": \"Perth\", \"Pune\": \"Pune\", \"Accra\": \"Accra\", \"Leeds\": \"Leeds\", \"Hanoi\": \"Hanoi\", \"unknown\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"Hanoi\", \"q1\": \"unknown\", \"q2\": \"Hanoi\"}"}
-{"id": "gen_facts:943", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Borealis's main office is located in Pune. Jade has a job with Helix. Ivan has a job with Acme. Acme's main office is located in Busan. Fay has a job with Borealis. Chen has a job with Borealis. Cobalt's main office is located in Cork. Kofi has a job with Borealis. Ben has a job with Juniper. Helix's main office is located in Accra.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Fay's employer?\", \"criteria\": {\"Pune\": \"Pune\", \"Quito\": \"Quito\", \"Busan\": \"Busan\", \"Accra\": \"Accra\", \"Cork\": \"Cork\", \"Fez\": \"Fez\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ivan's employer?\", \"criteria\": {\"Pune\": \"Pune\", \"Quito\": \"Quito\", \"Busan\": \"Busan\", \"Accra\": \"Accra\", \"Cork\": \"Cork\", \"Fez\": \"Fez\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Kofi's employer?\", \"criteria\": {\"Pune\": \"Pune\", \"Quito\": \"Quito\", \"Busan\": \"Busan\", \"Accra\": \"Accra\", \"Cork\": \"Cork\", \"Fez\": \"Fez\"}}}", "gold": "{\"q0\": \"Pune\", \"q1\": \"Busan\", \"q2\": \"Pune\"}"}
-{"id": "gen_facts:944", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Granite's main office is located in Lima. Ivan has a job with Kestrel. Dana has a job with Kestrel. Ava has a job with Cobalt. Cobalt's main office is located in Fez. Fjord's main office is located in Leeds. Eli has a job with Cobalt. Hana has a job with Juniper. Juniper's main office is located in Perth. Jade has a job with Cobalt.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ava's employer?\", \"criteria\": {\"k_aa24\": \"Perth\", \"k_d6ee\": \"Fez\", \"k_eddf\": \"Quito\", \"k_9687\": \"Busan\", \"k_13f2\": \"Leeds\", \"k_0997\": \"Lima\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Eli's employer?\", \"criteria\": {\"k_ebb9\": \"Perth\", \"k_8354\": \"Fez\", \"k_0398\": \"Quito\", \"k_78b7\": \"Busan\", \"k_e693\": \"Leeds\", \"k_8885\": \"Lima\", \"k_c992\": \"The state does not give enough information to decide.\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Jade's employer?\", \"criteria\": {\"k_d699\": \"Perth\", \"k_0096\": \"Fez\", \"k_f03f\": \"Quito\", \"k_95d1\": \"Busan\", \"k_17aa\": \"Leeds\", \"k_b43c\": \"Lima\", \"k_df88\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"k_d6ee\", \"q1\": \"k_8354\", \"q2\": \"k_0096\"}"}
-{"id": "gen_facts:945", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Kofi has a job with Fjord. Ben has a job with Evergreen. Jade has a job with Helix. Fay has a job with Evergreen. Milo has a job with Helix. Acme's main office is located in Busan. Helix's main office is located in Leeds. Fjord's main office is located in Fez. Kestrel's main office is located in Accra. Nora has a job with Kestrel.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Nora's employer?\", \"criteria\": {\"k_9042\": \"Accra\", \"k_7d1e\": \"Busan\", \"k_86c2\": \"Cork\", \"k_e7f5\": \"Leeds\", \"k_261f\": \"Lima\", \"k_0d37\": \"Fez\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Kofi's employer?\", \"criteria\": {\"k_2673\": \"Accra\", \"k_4dc1\": \"Busan\", \"k_f6bb\": \"Cork\", \"k_686e\": \"Leeds\", \"k_af22\": \"Lima\", \"k_039b\": \"Fez\"}}}", "gold": "{\"q0\": \"k_9042\", \"q2\": \"k_039b\"}"}
-{"id": "gen_facts:946", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Ivan has a job with Cobalt. Acme's main office is located in Oslo. Cobalt's main office is located in Turin. Nora has a job with Dynamo. Jade has a job with Cobalt. Milo has a job with Evergreen. Dynamo's main office is located in Lima. Chen has a job with Dynamo. Dana has a job with Acme. Juniper's main office is located in Accra.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Nora's employer?\", \"criteria\": {\"k_bbb8\": \"Turin\", \"k_4f40\": \"Cork\", \"k_d89b\": \"Lima\", \"k_15fa\": \"Fez\", \"k_3215\": \"Oslo\", \"k_5380\": \"Accra\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Milo's employer?\", \"criteria\": {\"k_4643\": \"Turin\", \"k_9ba0\": \"Cork\", \"k_2b60\": \"Lima\", \"k_9c85\": \"Fez\", \"k_ce0d\": \"Oslo\", \"k_9c02\": \"Accra\", \"k_c663\": \"The state does not give enough information to decide.\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Chen's employer?\", \"criteria\": {\"k_ff91\": \"Turin\", \"k_ea1d\": \"Cork\", \"k_5ca2\": \"Lima\", \"k_1ebe\": \"Fez\", \"k_0a45\": \"Oslo\", \"k_1f61\": \"Accra\", \"k_c999\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"k_d89b\", \"q1\": \"k_c663\", \"q2\": \"k_5ca2\"}"}
-{"id": "gen_facts:947", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Nora has a job with Evergreen. Chen has a job with Granite. Gus has a job with Granite. Cobalt's main office is located in Quito. Granite's main office is located in Leeds. Eli has a job with Borealis. Jade has a job with Borealis. Borealis's main office is located in Lima. Acme's main office is located in Oslo. Ava has a job with Acme.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Nora's employer?\", \"criteria\": {\"Accra\": \"Accra\", \"Cork\": \"Cork\", \"Lima\": \"Lima\", \"Oslo\": \"Oslo\", \"Quito\": \"Quito\", \"Leeds\": \"Leeds\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Jade's employer?\", \"criteria\": {\"Accra\": \"Accra\", \"Cork\": \"Cork\", \"Lima\": \"Lima\", \"Oslo\": \"Oslo\", \"Quito\": \"Quito\", \"Leeds\": \"Leeds\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Gus's employer?\", \"criteria\": {\"Accra\": \"Accra\", \"Cork\": \"Cork\", \"Lima\": \"Lima\", \"Oslo\": \"Oslo\", \"Quito\": \"Quito\", \"Leeds\": \"Leeds\"}}}", "gold": "{\"q0\": \"unknown\", \"q1\": \"Lima\", \"q2\": \"Leeds\"}"}
-{"id": "gen_facts:948", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Lumen's main office is located in Perth. Gus has a job with Granite. Dynamo's main office is located in Hanoi. Kofi has a job with Evergreen. Evergreen's main office is located in Leeds. Chen has a job with Granite. Eli has a job with Cobalt. Granite's main office is located in Turin. Ava has a job with Granite. Nora has a job with Dynamo.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Chen's employer?\", \"criteria\": {\"Perth\": \"Perth\", \"Leeds\": \"Leeds\", \"Hanoi\": \"Hanoi\", \"Fez\": \"Fez\", \"Turin\": \"Turin\", \"Pune\": \"Pune\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Gus's employer?\", \"criteria\": {\"Perth\": \"Perth\", \"Leeds\": \"Leeds\", \"Hanoi\": \"Hanoi\", \"Fez\": \"Fez\", \"Turin\": \"Turin\", \"Pune\": \"Pune\", \"unknown\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"Turin\", \"q2\": \"Turin\"}"}
-{"id": "gen_facts:949", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Acme's main office is located in Busan. Ivan has a job with Evergreen. Evergreen's main office is located in Oslo. Dynamo's main office is located in Leeds. Jade has a job with Helix. Juniper's main office is located in Hanoi. Chen has a job with Dynamo. Ava has a job with Evergreen. Kofi has a job with Juniper. Hana has a job with Juniper.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Kofi's employer?\", \"criteria\": {\"k_1758\": \"Hanoi\", \"k_02cd\": \"Oslo\", \"k_6f9f\": \"Busan\", \"k_296d\": \"Quito\", \"k_2908\": \"Pune\", \"k_d6d3\": \"Leeds\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ava's employer?\", \"criteria\": {\"k_5110\": \"Hanoi\", \"k_cf60\": \"Oslo\", \"k_f0ab\": \"Busan\", \"k_3013\": \"Quito\", \"k_be97\": \"Pune\", \"k_f3ee\": \"Leeds\", \"k_5102\": \"The state does not give enough information to decide.\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ivan's employer?\", \"criteria\": {\"k_b303\": \"Hanoi\", \"k_6be6\": \"Oslo\", \"k_9dbf\": \"Busan\", \"k_634c\": \"Quito\", \"k_c3b6\": \"Pune\", \"k_00b1\": \"Leeds\", \"k_07c9\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"k_1758\", \"q1\": \"k_cf60\", \"q2\": \"k_6be6\"}"}
-{"id": "gen_facts:950", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Hana has a job with Cobalt. Ava has a job with Dynamo. Kofi has a job with Dynamo. Eli has a job with Helix. Chen has a job with Dynamo. Acme's main office is located in Leeds. Ion's main office is located in Cork. Nora has a job with Ion. Helix's main office is located in Pune. Dynamo's main office is located in Oslo.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ava's employer?\", \"criteria\": {\"Lima\": \"Lima\", \"Perth\": \"Perth\", \"Oslo\": \"Oslo\", \"Pune\": \"Pune\", \"Cork\": \"Cork\", \"Leeds\": \"Leeds\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Nora's employer?\", \"criteria\": {\"Lima\": \"Lima\", \"Perth\": \"Perth\", \"Oslo\": \"Oslo\", \"Pune\": \"Pune\", \"Cork\": \"Cork\", \"Leeds\": \"Leeds\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Eli's employer?\", \"criteria\": {\"Lima\": \"Lima\", \"Perth\": \"Perth\", \"Oslo\": \"Oslo\", \"Pune\": \"Pune\", \"Cork\": \"Cork\", \"Leeds\": \"Leeds\", \"unknown\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"Oslo\", \"q1\": \"Cork\", \"q2\": \"Pune\"}"}
-{"id": "gen_facts:951", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Cobalt's main office is located in Oslo. Nora has a job with Lumen. Ion's main office is located in Busan. Jade has a job with Juniper. Hana has a job with Lumen. Ben has a job with Ion. Fjord's main office is located in Hanoi. Juniper's main office is located in Perth. Fay has a job with Cobalt. Chen has a job with Lumen.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Chen's employer?\", \"criteria\": {\"k_e58b\": \"Oslo\", \"k_deab\": \"Hanoi\", \"k_1918\": \"Turin\", \"k_be24\": \"Pune\", \"k_00a0\": \"Perth\", \"k_f7d7\": \"Busan\", \"k_575e\": \"The state does not give enough information to decide.\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Nora's employer?\", \"criteria\": {\"k_bf79\": \"Oslo\", \"k_2dff\": \"Hanoi\", \"k_9dcb\": \"Turin\", \"k_2e2f\": \"Pune\", \"k_3364\": \"Perth\", \"k_7203\": \"Busan\", \"k_65da\": \"The state does not give enough information to decide.\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Fay's employer?\", \"criteria\": {\"k_5ec9\": \"Oslo\", \"k_338a\": \"Hanoi\", \"k_d07d\": \"Turin\", \"k_6e1c\": \"Pune\", \"k_3f42\": \"Perth\", \"k_6daa\": \"Busan\", \"k_2732\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"k_575e\", \"q1\": \"k_65da\", \"q2\": \"k_5ec9\"}"}
-{"id": "gen_facts:953", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Kofi has a job with Dynamo. Fjord's main office is located in Pune. Chen has a job with Kestrel. Milo has a job with Kestrel. Kestrel's main office is located in Quito. Fay has a job with Dynamo. Dana has a job with Lumen. Ion's main office is located in Perth. Ava has a job with Ion. Lumen's main office is located in Busan.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Dana's employer?\", \"criteria\": {\"Pune\": \"Pune\", \"Perth\": \"Perth\", \"Busan\": \"Busan\", \"Fez\": \"Fez\", \"Quito\": \"Quito\", \"Leeds\": \"Leeds\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Chen's employer?\", \"criteria\": {\"Pune\": \"Pune\", \"Perth\": \"Perth\", \"Busan\": \"Busan\", \"Fez\": \"Fez\", \"Quito\": \"Quito\", \"Leeds\": \"Leeds\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Milo's employer?\", \"criteria\": {\"Pune\": \"Pune\", \"Perth\": \"Perth\", \"Busan\": \"Busan\", \"Fez\": \"Fez\", \"Quito\": \"Quito\", \"Leeds\": \"Leeds\"}}}", "gold": "{\"q0\": \"Busan\", \"q1\": \"Quito\", \"q2\": \"Quito\"}"}
-{"id": "gen_facts:954", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Ion's main office is located in Fez. Fay has a job with Kestrel. Kestrel's main office is located in Perth. Lena has a job with Juniper. Borealis's main office is located in Pune. Gus has a job with Ion. Dana has a job with Ion. Ben has a job with Fjord. Hana has a job with Juniper. Dynamo's main office is located in Hanoi.\"", "questions": "{\"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Hana's employer?\", \"criteria\": {\"Lima\": \"Lima\", \"Fez\": \"Fez\", \"Quito\": \"Quito\", \"Perth\": \"Perth\", \"Hanoi\": \"Hanoi\", \"Pune\": \"Pune\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Fay's employer?\", \"criteria\": {\"Lima\": \"Lima\", \"Fez\": \"Fez\", \"Quito\": \"Quito\", \"Perth\": \"Perth\", \"Hanoi\": \"Hanoi\", \"Pune\": \"Pune\"}}}", "gold": "{\"q1\": \"unknown\", \"q2\": \"Perth\"}"}
-{"id": "gen_facts:955", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Gus has a job with Ion. Granite's main office is located in Lima. Borealis's main office is located in Oslo. Cobalt's main office is located in Perth. Lena has a job with Cobalt. Hana has a job with Evergreen. Nora has a job with Granite. Lumen's main office is located in Fez. Ivan has a job with Borealis. Jade has a job with Evergreen.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Gus's employer?\", \"criteria\": {\"Pune\": \"Pune\", \"Turin\": \"Turin\", \"Lima\": \"Lima\", \"Perth\": \"Perth\", \"Fez\": \"Fez\", \"Oslo\": \"Oslo\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Hana's employer?\", \"criteria\": {\"Pune\": \"Pune\", \"Turin\": \"Turin\", \"Lima\": \"Lima\", \"Perth\": \"Perth\", \"Fez\": \"Fez\", \"Oslo\": \"Oslo\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Lena's employer?\", \"criteria\": {\"Pune\": \"Pune\", \"Turin\": \"Turin\", \"Lima\": \"Lima\", \"Perth\": \"Perth\", \"Fez\": \"Fez\", \"Oslo\": \"Oslo\"}}}", "gold": "{\"q0\": \"unknown\", \"q1\": \"unknown\", \"q2\": \"Perth\"}"}
-{"id": "gen_facts:956", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Lena has a job with Fjord. Eli has a job with Juniper. Fay has a job with Granite. Ben has a job with Juniper. Juniper's main office is located in Quito. Fjord's main office is located in Oslo. Ivan has a job with Granite. Milo has a job with Juniper. Dynamo's main office is located in Perth. Granite's main office is located in Busan.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Milo's employer?\", \"criteria\": {\"k_cc22\": \"Quito\", \"k_767c\": \"Perth\", \"k_9486\": \"Oslo\", \"k_4e77\": \"Fez\", \"k_ac11\": \"Cork\", \"k_e36d\": \"Busan\", \"k_ecae\": \"The state does not give enough information to decide.\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Eli's employer?\", \"criteria\": {\"k_5a21\": \"Quito\", \"k_744b\": \"Perth\", \"k_a2d4\": \"Oslo\", \"k_c035\": \"Fez\", \"k_1bbc\": \"Cork\", \"k_1bc4\": \"Busan\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Fay's employer?\", \"criteria\": {\"k_2f90\": \"Quito\", \"k_735b\": \"Perth\", \"k_ad46\": \"Oslo\", \"k_8973\": \"Fez\", \"k_f40c\": \"Cork\", \"k_5cd4\": \"Busan\"}}}", "gold": "{\"q0\": \"k_cc22\", \"q1\": \"k_5a21\", \"q2\": \"k_5cd4\"}"}
-{"id": "gen_facts:957", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Milo has a job with Cobalt. Kofi has a job with Evergreen. Dana has a job with Evergreen. Ivan has a job with Kestrel. Kestrel's main office is located in Cork. Helix's main office is located in Busan. Acme's main office is located in Accra. Hana has a job with Acme. Ava has a job with Borealis. Evergreen's main office is located in Fez.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Hana's employer?\", \"criteria\": {\"Leeds\": \"Leeds\", \"Fez\": \"Fez\", \"Busan\": \"Busan\", \"Cork\": \"Cork\", \"Perth\": \"Perth\", \"Accra\": \"Accra\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Dana's employer?\", \"criteria\": {\"Leeds\": \"Leeds\", \"Fez\": \"Fez\", \"Busan\": \"Busan\", \"Cork\": \"Cork\", \"Perth\": \"Perth\", \"Accra\": \"Accra\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Milo's employer?\", \"criteria\": {\"Leeds\": \"Leeds\", \"Fez\": \"Fez\", \"Busan\": \"Busan\", \"Cork\": \"Cork\", \"Perth\": \"Perth\", \"Accra\": \"Accra\", \"unknown\": \"The state does not give enough information to decide.\"}}}", "gold": "{\"q0\": \"Accra\", \"q1\": \"Fez\", \"q2\": \"unknown\"}"}
-{"id": "gen_facts:958", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Jade has a job with Acme. Acme's main office is located in Quito. Milo has a job with Lumen. Ben has a job with Dynamo. Fay has a job with Dynamo. Lena has a job with Dynamo. Dynamo's main office is located in Fez. Evergreen's main office is located in Lima. Lumen's main office is located in Turin. Kofi has a job with Dynamo.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Fay's employer?\", \"criteria\": {\"Quito\": \"Quito\", \"Fez\": \"Fez\", \"Turin\": \"Turin\", \"Lima\": \"Lima\", \"Pune\": \"Pune\", \"Leeds\": \"Leeds\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Jade's employer?\", \"criteria\": {\"Quito\": \"Quito\", \"Fez\": \"Fez\", \"Turin\": \"Turin\", \"Lima\": \"Lima\", \"Pune\": \"Pune\", \"Leeds\": \"Leeds\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Kofi's employer?\", \"criteria\": {\"Quito\": \"Quito\", \"Fez\": \"Fez\", \"Turin\": \"Turin\", \"Lima\": \"Lima\", \"Pune\": \"Pune\", \"Leeds\": \"Leeds\"}}}", "gold": "{\"q0\": \"Fez\", \"q1\": \"Quito\", \"q2\": \"Fez\"}"}
-{"id": "gen_facts:959", "source": "gen_facts", "family": "synthetic", "licence": "CC-BY-4.0", "state": "\"Kestrel's main office is located in Perth. Chen has a job with Fjord. Dana has a job with Juniper. Kofi has a job with Ion. Lena has a job with Kestrel. Helix's main office is located in Busan. Jade has a job with Kestrel. Lumen's main office is located in Leeds. Ivan has a job with Lumen. Ion's main office is located in Lima.\"", "questions": "{\"q0\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Chen's employer?\", \"criteria\": {\"Lima\": \"Lima\", \"Hanoi\": \"Hanoi\", \"Perth\": \"Perth\", \"Pune\": \"Pune\", \"Busan\": \"Busan\", \"Leeds\": \"Leeds\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q1\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Ivan's employer?\", \"criteria\": {\"Lima\": \"Lima\", \"Hanoi\": \"Hanoi\", \"Perth\": \"Perth\", \"Pune\": \"Pune\", \"Busan\": \"Busan\", \"Leeds\": \"Leeds\", \"unknown\": \"The state does not give enough information to decide.\"}}, \"q2\": {\"type\": \"choice\", \"instructions\": \"In which city is the head office of Lena's employer?\", \"criteria\": {\"Lima\": \"Lima\", \"Hanoi\": \"Hanoi\", \"Perth\": \"Perth\", \"Pune\": \"Pune\", \"Busan\": \"Busan\", \"Leeds\": \"Leeds\"}}}", "gold": "{\"q0\": \"unknown\", \"q1\": \"Leeds\", \"q2\": \"Perth\"}"}

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