task_id stringclasses 53
values | query stringclasses 53
values | answer stringlengths 1 139 | artifact_type stringclasses 6
values | artifact_scope stringclasses 4
values | query_cols listlengths 1 5 | artifact_reasoning_cols listlengths 0 8 | table dict | num_rows int64 10 1.13k | num_cols int64 5 20 | recovered_tables_transform_spec dict | base_data_num_tokens int64 1.94k 16.1k | base_data_token_bucket int64 2k 16k | perturbation_note stringclasses 257
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 37 | inconsistent-formatting | naive-multi-column | [
"Diagnosis_Date"
] | [
"Diagnosis_Date",
"Treatment_Start_Date"
] | {
"headers": [
"Patient_ID",
"Primary_Physician",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality",
"Death_Date",
"Comorbidities",
"Height",
"Cancer_Type"
],
"rows": [
[
"PAT000001",
"Dr. VO41",
"2020-11-30",
"2020-12-04",
"69... | 76 | 10 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "Treatment_Start_Date",
"new_value": null,
"row": 38
},
{
"col": "Diagnosis_Date",
"new_value": "dt===October-04-2018",
"row": 45
},
{
"col": "Treatment_Start_Date",... | 3,995 | 4,000 | Introduced formatting inconsistencies in Diagnosis_Date and Treatment_Start_Date columns |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 49 | missingness | naive-multi-column | [
"Diagnosis_Date"
] | [
"Age",
"Nationality",
"Treatment_Start_Date",
"Diagnosis_Date"
] | {
"headers": [
"Patient_ID",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality",
"Death_Date",
"Primary_Physician",
"Comorbidities",
"Height",
"Cancer_Type",
"Smoking_Status",
"Emirate",
"Gender",
"Outcome",
"Cancer_Stage",
"Treatment_Type",
... | 98 | 20 | {
"drop_rows": [
[
52,
76
]
],
"overwrite_cells": [
[
{
"col": "Patient_ID",
"new_value": "PAT000049",
"row": 48
},
{
"col": "Diagnosis_Date",
"new_value": null,
"row": 48
},
{
"col": "Treatment_Start_Dat... | 7,979 | 8,000 | Introduced missingness in, Age, Nationality and Treatment_Start_Date columns. |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 14 | bad-values | naive-multi-column | [
"Diagnosis_Date"
] | [
"Diagnosis_Date",
"Treatment_Start_Date"
] | {
"headers": [
"Patient_ID",
"Primary_Physician",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality",
"Death_Date",
"Comorbidities",
"Height",
"Cancer_Type"
],
"rows": [
[
"PAT000001",
"Dr. VO41",
"2020",
"2020",
"69",
"Em... | 38 | 10 | {
"drop_rows": [
[
15,
36
]
],
"overwrite_cells": [
[
{
"col": "Patient_ID",
"new_value": "PAT000001",
"row": 0
},
{
"col": "Primary_Physician",
"new_value": "Dr. VO41",
"row": 0
},
{
"col": "Diagnosis_Da... | 2,001 | 2,000 | Introduced bad values in Diagnosis_Date and Treatment_Start_Date columns (no month). Need to be dropped. |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 36 | missingness | naive-multi-column | [
"Diagnosis_Date"
] | [
"Age",
"Nationality",
"Treatment_Start_Date",
"Diagnosis_Date"
] | {
"headers": [
"Patient_ID",
"Primary_Physician",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality",
"Death_Date",
"Comorbidities",
"Height",
"Cancer_Type"
],
"rows": [
[
"PAT000001",
"Dr. VO41",
"2020-11-30",
"2020-12-04",
"69... | 76 | 10 | {
"drop_rows": [
[
66
]
],
"overwrite_cells": [
[
{
"col": "Age",
"new_value": null,
"row": 1
},
{
"col": "Nationality",
"new_value": null,
"row": 45
},
{
"col": "Patient_ID",
"new_value": "PAT000062",
... | 3,995 | 4,000 | Introduced missingness in, Age, Nationality and Treatment_Start_Date columns. |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 51 | inconsistent-formatting | naive-multi-column | [
"Diagnosis_Date"
] | [
"Diagnosis_Date",
"Treatment_Start_Date"
] | {
"headers": [
"Patient_ID",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality",
"Death_Date",
"Primary_Physician",
"Comorbidities",
"Height",
"Cancer_Type",
"Smoking_Status",
"Emirate",
"Gender",
"Outcome",
"Cancer_Stage",
"Treatment_Type",
... | 98 | 20 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "Treatment_Start_Date",
"new_value": null,
"row": 2
},
{
"col": "Treatment_Start_Date",
"new_value": null,
"row": 5
},
{
"col": "Diagnosis_Date",
"new_value"... | 7,979 | 8,000 | Introduced formatting inconsistencies in Diagnosis_Date and Treatment_Start_Date columns |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 23 | inconsistent-commonsense-logic | connected-multi-column | [
"Diagnosis_Date"
] | [
"Diagnosis_Date",
"Treatment_Start_Date"
] | {
"headers": [
"Patient_ID",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality"
],
"rows": [
[
"PAT000001",
"2020-11-30",
"2020-12-04",
"69",
"Emirati"
],
[
"PAT000002",
"2015-10-10",
"2015-11-05",
"32",
"Emira... | 55 | 5 | {
"drop_rows": [
[
22,
43
]
],
"overwrite_cells": [
[]
]
} | 2,015 | 2,000 | Introduced an inconsistency in the Diagnosis_Date column where it is after the Treatment_Start_Date. Should drop this record. |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 15 | missingness | naive-multi-column | [
"Diagnosis_Date"
] | [
"Age",
"Nationality",
"Treatment_Start_Date",
"Diagnosis_Date"
] | {
"headers": [
"Patient_ID",
"Primary_Physician",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality",
"Death_Date",
"Comorbidities",
"Height",
"Cancer_Type"
],
"rows": [
[
"PAT000001",
"Dr. VO41",
"2020-11-30",
"2020-12-04",
"69... | 38 | 10 | {
"drop_rows": [
[
15
]
],
"overwrite_cells": [
[
{
"col": "Nationality",
"new_value": null,
"row": 0
},
{
"col": "Patient_ID",
"new_value": "PAT000005",
"row": 4
},
{
"col": "Primary_Physician",
"new_v... | 2,001 | 2,000 | Introduced missingness in, Age, Nationality and Treatment_Start_Date columns. |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 121 | inconsistent-formatting | naive-multi-column | [
"Diagnosis_Date"
] | [
"Diagnosis_Date",
"Treatment_Start_Date"
] | {
"headers": [
"Patient_ID",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality"
],
"rows": [
[
"PAT000001",
"2020-11-30",
"2020-12-04",
"69",
"Emirati"
],
[
"PAT000002",
"2015-10-10",
"2015-11-05",
"32",
"Emira... | 219 | 5 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "Diagnosis_Date",
"new_value": "dt==November-09-2015",
"row": 11
},
{
"col": "Treatment_Start_Date",
"new_value": null,
"row": 25
},
{
"col": "Treatment_Start_Date",... | 7,991 | 8,000 | Introduced formatting inconsistencies in Diagnosis_Date and Treatment_Start_Date columns |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 33 | bad-values | naive-multi-column | [
"Diagnosis_Date"
] | [
"Diagnosis_Date",
"Treatment_Start_Date"
] | {
"headers": [
"Patient_ID",
"Primary_Physician",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality",
"Death_Date",
"Comorbidities",
"Height",
"Cancer_Type"
],
"rows": [
[
"PAT000001",
"Dr. VO41",
"2020-11-30",
"2020-12-04",
"69... | 76 | 10 | {
"drop_rows": [
[
15,
36,
49,
50
]
],
"overwrite_cells": [
[
{
"col": "Patient_ID",
"new_value": "PAT000012",
"row": 11
},
{
"col": "Primary_Physician",
"new_value": "Dr. NS1",
"row": 11
},
{
... | 3,995 | 4,000 | Introduced bad values in Diagnosis_Date and Treatment_Start_Date columns (no month). Need to be dropped. |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 44 | bad-values | naive-multi-column | [
"Diagnosis_Date"
] | [
"Diagnosis_Date",
"Treatment_Start_Date"
] | {
"headers": [
"Patient_ID",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality",
"Death_Date",
"Primary_Physician",
"Comorbidities",
"Height",
"Cancer_Type",
"Smoking_Status",
"Emirate",
"Gender",
"Outcome",
"Cancer_Stage",
"Treatment_Type",
... | 98 | 20 | {
"drop_rows": [
[
36,
53,
83,
87,
88,
94,
95
]
],
"overwrite_cells": [
[
{
"col": "Patient_ID",
"new_value": "PAT000029",
"row": 28
},
{
"col": "Diagnosis_Date",
"new_value": "2017",
"row": 28
... | 7,979 | 8,000 | Introduced bad values in Diagnosis_Date and Treatment_Start_Date columns (no month). Need to be dropped. |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 16 | inconsistent-formatting | naive-multi-column | [
"Diagnosis_Date"
] | [
"Diagnosis_Date",
"Treatment_Start_Date"
] | {
"headers": [
"Patient_ID",
"Primary_Physician",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality",
"Death_Date",
"Comorbidities",
"Height",
"Cancer_Type"
],
"rows": [
[
"PAT000001",
"Dr. VO41",
"dt=November-30-2020",
"2020-12-04",
... | 38 | 10 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "Diagnosis_Date",
"new_value": "dt=November-30-2020",
"row": 0
},
{
"col": "Diagnosis_Date",
"new_value": "Date= 13/02/2018 --",
"row": 2
},
{
"col": "Treatment_Star... | 2,001 | 2,000 | Introduced formatting inconsistencies in Diagnosis_Date and Treatment_Start_Date columns |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 54 | bad-values | naive-multi-column | [
"Diagnosis_Date"
] | [
"Diagnosis_Date",
"Treatment_Start_Date"
] | {
"headers": [
"Patient_ID",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality"
],
"rows": [
[
"PAT000001",
"2020",
"2020",
"69",
"Emirati"
],
[
"PAT000002",
"2015-10-10",
"2015-11-05",
"32",
"Emirati"
],
... | 110 | 5 | {
"drop_rows": [
[
0,
13,
92,
95,
97,
98,
103,
104
]
],
"overwrite_cells": [
[]
]
} | 4,016 | 4,000 | Introduced bad values in Diagnosis_Date and Treatment_Start_Date columns (no month). Need to be dropped. |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 8 | missingness | naive-multi-column | [
"Diagnosis_Date"
] | [
"Age",
"Nationality",
"Treatment_Start_Date",
"Diagnosis_Date"
] | {
"headers": [
"Patient_ID",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality",
"Death_Date",
"Primary_Physician",
"Comorbidities",
"Height",
"Cancer_Type",
"Smoking_Status",
"Emirate",
"Gender",
"Outcome",
"Cancer_Stage",
"Treatment_Type",
... | 24 | 20 | {
"drop_rows": [
[
15
]
],
"overwrite_cells": [
[
{
"col": "Age",
"new_value": null,
"row": 0
},
{
"col": "Patient_ID",
"new_value": "PAT000009",
"row": 8
},
{
"col": "Diagnosis_Date",
"new_value": null... | 1,991 | 2,000 | Introduced missingness in, Age, Nationality and Treatment_Start_Date columns. |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 22 | bad-values | naive-multi-column | [
"Diagnosis_Date"
] | [
"Diagnosis_Date",
"Treatment_Start_Date"
] | {
"headers": [
"Patient_ID",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality"
],
"rows": [
[
"PAT000001",
"2020-11-30",
"2020-12-04",
"69",
"Emirati"
],
[
"PAT000002",
"2015-10-10",
"2015-11-05",
"32",
"Emira... | 55 | 5 | {
"drop_rows": [
[
22,
43,
48
]
],
"overwrite_cells": [
[]
]
} | 2,015 | 2,000 | Introduced bad values in Diagnosis_Date and Treatment_Start_Date columns (no month). Need to be dropped. |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 116 | missingness | naive-multi-column | [
"Diagnosis_Date"
] | [
"Age",
"Nationality",
"Treatment_Start_Date",
"Diagnosis_Date"
] | {
"headers": [
"Patient_ID",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality"
],
"rows": [
[
"PAT000001",
"2020-11-30",
"2020-12-04",
"69",
"Emirati"
],
[
"PAT000002",
"2015-10-10",
"2015-11-05",
"32",
"Emira... | 219 | 5 | {
"drop_rows": [
[
133,
136,
151,
153,
169
]
],
"overwrite_cells": [
[
{
"col": "Nationality",
"new_value": null,
"row": 11
},
{
"col": "Treatment_Start_Date",
"new_value": null,
"row": 43
},
{
... | 7,991 | 8,000 | Introduced missingness in, Age, Nationality and Treatment_Start_Date columns. |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 18 | bad-values | naive-multi-column | [
"Diagnosis_Date"
] | [
"Diagnosis_Date",
"Treatment_Start_Date"
] | {
"headers": [
"Patient_ID",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality",
"Death_Date",
"Primary_Physician",
"Comorbidities",
"Height",
"Cancer_Type",
"Smoking_Status",
"Emirate",
"Gender",
"Outcome",
"Cancer_Stage",
"Treatment_Type",
... | 49 | 20 | {
"drop_rows": [
[
15,
46,
48
]
],
"overwrite_cells": [
[
{
"col": "Patient_ID",
"new_value": "PAT000001",
"row": 0
},
{
"col": "Diagnosis_Date",
"new_value": "2020",
"row": 0
},
{
"col": "Treatment... | 3,991 | 4,000 | Introduced bad values in Diagnosis_Date and Treatment_Start_Date columns (no month). Need to be dropped. |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 210 | bad-values | naive-multi-column | [
"Diagnosis_Date"
] | [
"Diagnosis_Date",
"Treatment_Start_Date"
] | {
"headers": [
"Patient_ID",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality"
],
"rows": [
[
"PAT000001",
"2020-11-30",
"2020-12-04",
"69",
"Emirati"
],
[
"PAT000002",
"2015-10-10",
"2015-11-05",
"32",
"Emira... | 439 | 5 | {
"drop_rows": [
[
4,
20,
24,
27,
35,
47,
53,
66,
70,
81,
90,
94,
114,
119,
141,
144,
151,
154,
170,
185,
197,
200,
210,
230,
260,
272,
283,
312,
... | 16,008 | 16,000 | Introduced bad values in Diagnosis_Date and Treatment_Start_Date columns (no month). Need to be dropped. |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 71 | bad-values | naive-multi-column | [
"Diagnosis_Date"
] | [
"Diagnosis_Date",
"Treatment_Start_Date"
] | {
"headers": [
"Patient_ID",
"Primary_Physician",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality",
"Death_Date",
"Comorbidities",
"Height",
"Cancer_Type"
],
"rows": [
[
"PAT000001",
"Dr. VO41",
"2020",
"2020",
"69",
"Em... | 151 | 10 | {
"drop_rows": [
[
15,
36,
49,
50,
64,
66,
76,
105,
106,
107,
149
]
],
"overwrite_cells": [
[
{
"col": "Patient_ID",
"new_value": "PAT000001",
"row": 0
},
{
"col": "Primary_Physician",
... | 7,996 | 8,000 | Introduced bad values in Diagnosis_Date and Treatment_Start_Date columns (no month). Need to be dropped. |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 9 | inconsistent-formatting | naive-multi-column | [
"Diagnosis_Date"
] | [
"Diagnosis_Date",
"Treatment_Start_Date"
] | {
"headers": [
"Patient_ID",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality",
"Death_Date",
"Primary_Physician",
"Comorbidities",
"Height",
"Cancer_Type",
"Smoking_Status",
"Emirate",
"Gender",
"Outcome",
"Cancer_Stage",
"Treatment_Type",
... | 24 | 20 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "Treatment_Start_Date",
"new_value": "05/05/2016",
"row": 11
},
{
"col": "Diagnosis_Date",
"new_value": "Date= 17/02/2015 -----",
"row": 15
},
{
"col": "Treatment_St... | 1,991 | 2,000 | Introduced formatting inconsistencies in Diagnosis_Date and Treatment_Start_Date columns |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 121 | clean | clean | [
"Diagnosis_Date"
] | [] | {
"headers": [
"Patient_ID",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality"
],
"rows": [
[
"PAT000001",
"2020-11-30",
"2020-12-04",
"69",
"Emirati"
],
[
"PAT000002",
"2015-10-10",
"2015-11-05",
"32",
"Emira... | 219 | 5 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[]
]
} | 7,991 | 8,000 | |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 79 | missingness | naive-multi-column | [
"Diagnosis_Date"
] | [
"Age",
"Nationality",
"Treatment_Start_Date",
"Diagnosis_Date"
] | {
"headers": [
"Patient_ID",
"Primary_Physician",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality",
"Death_Date",
"Comorbidities",
"Height",
"Cancer_Type"
],
"rows": [
[
"PAT000001",
"Dr. VO41",
"2020-11-30",
"2020-12-04",
"69... | 151 | 10 | {
"drop_rows": [
[
76,
99,
108
]
],
"overwrite_cells": [
[
{
"col": "Nationality",
"new_value": null,
"row": 0
},
{
"col": "Age",
"new_value": null,
"row": 29
},
{
"col": "Age",
"new_value":... | 7,996 | 8,000 | Introduced missingness in, Age, Nationality and Treatment_Start_Date columns. |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 56 | inconsistent-commonsense-logic | connected-multi-column | [
"Diagnosis_Date"
] | [
"Diagnosis_Date",
"Treatment_Start_Date"
] | {
"headers": [
"Patient_ID",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality"
],
"rows": [
[
"PAT000001",
"2020-11-30",
"2020-09-20",
"69",
"Emirati"
],
[
"PAT000002",
"2015-10-10",
"2015-11-05",
"32",
"Emira... | 110 | 5 | {
"drop_rows": [
[
0,
13,
95,
97,
103,
104
]
],
"overwrite_cells": [
[]
]
} | 4,016 | 4,000 | Introduced an inconsistency in the Diagnosis_Date column where it is after the Treatment_Start_Date. Should drop this record. |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 245 | inconsistent-formatting | naive-multi-column | [
"Diagnosis_Date"
] | [
"Diagnosis_Date",
"Treatment_Start_Date"
] | {
"headers": [
"Patient_ID",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality"
],
"rows": [
[
"PAT000001",
"2020-11-30",
"2020-12-04",
"69",
"Emirati"
],
[
"PAT000002",
"2015-10-10",
"2015-11-05",
"32",
"Emira... | 439 | 5 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "Treatment_Start_Date",
"new_value": null,
"row": 18
},
{
"col": "Diagnosis_Date",
"new_value": "dt===June-22-2021",
"row": 20
},
{
"col": "Diagnosis_Date",
... | 16,008 | 16,000 | Introduced formatting inconsistencies in Diagnosis_Date and Treatment_Start_Date columns |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 21 | inconsistent-formatting | naive-multi-column | [
"Diagnosis_Date"
] | [
"Diagnosis_Date",
"Treatment_Start_Date"
] | {
"headers": [
"Patient_ID",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality",
"Death_Date",
"Primary_Physician",
"Comorbidities",
"Height",
"Cancer_Type",
"Smoking_Status",
"Emirate",
"Gender",
"Outcome",
"Cancer_Stage",
"Treatment_Type",
... | 49 | 20 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "Diagnosis_Date",
"new_value": "dt===November-30-2020",
"row": 0
},
{
"col": "Treatment_Start_Date",
"new_value": null,
"row": 12
},
{
"col": "Diagnosis_Date",
... | 3,991 | 4,000 | Introduced formatting inconsistencies in Diagnosis_Date and Treatment_Start_Date columns |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 7 | bad-values | naive-multi-column | [
"Diagnosis_Date"
] | [
"Diagnosis_Date",
"Treatment_Start_Date"
] | {
"headers": [
"Patient_ID",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality",
"Death_Date",
"Primary_Physician",
"Comorbidities",
"Height",
"Cancer_Type",
"Smoking_Status",
"Emirate",
"Gender",
"Outcome",
"Cancer_Stage",
"Treatment_Type",
... | 24 | 20 | {
"drop_rows": [
[
15,
22
]
],
"overwrite_cells": [
[
{
"col": "Patient_ID",
"new_value": "PAT000012",
"row": 11
},
{
"col": "Diagnosis_Date",
"new_value": "2015-13-41",
"row": 11
},
{
"col": "Treatment_S... | 1,991 | 2,000 | Introduced bad values in Diagnosis_Date and Treatment_Start_Date columns (no month). Need to be dropped. |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 82 | inconsistent-formatting | naive-multi-column | [
"Diagnosis_Date"
] | [
"Diagnosis_Date",
"Treatment_Start_Date"
] | {
"headers": [
"Patient_ID",
"Primary_Physician",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality",
"Death_Date",
"Comorbidities",
"Height",
"Cancer_Type"
],
"rows": [
[
"PAT000001",
"Dr. VO41",
"dt=November-30-2020",
"2020-12-04",
... | 151 | 10 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "Diagnosis_Date",
"new_value": "dt=November-30-2020",
"row": 0
},
{
"col": "Diagnosis_Date",
"new_value": "Date= 13/02/2018 -",
"row": 2
},
{
"col": "Diagnosis_Date"... | 7,996 | 8,000 | Introduced formatting inconsistencies in Diagnosis_Date and Treatment_Start_Date columns |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 20 | missingness | naive-multi-column | [
"Diagnosis_Date"
] | [
"Age",
"Nationality",
"Treatment_Start_Date",
"Diagnosis_Date"
] | {
"headers": [
"Patient_ID",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality",
"Death_Date",
"Primary_Physician",
"Comorbidities",
"Height",
"Cancer_Type",
"Smoking_Status",
"Emirate",
"Gender",
"Outcome",
"Cancer_Stage",
"Treatment_Type",
... | 49 | 20 | {
"drop_rows": [
[
48
]
],
"overwrite_cells": [
[
{
"col": "Nationality",
"new_value": null,
"row": 0
},
{
"col": "Age",
"new_value": null,
"row": 27
},
{
"col": "Patient_ID",
"new_value": "PAT000048",
... | 3,991 | 4,000 | Introduced missingness in, Age, Nationality and Treatment_Start_Date columns. |
uae-cancer-patient | How many patients were diagnosed in the second half of the year (months June - December)? | 235 | missingness | naive-multi-column | [
"Diagnosis_Date"
] | [
"Age",
"Nationality",
"Treatment_Start_Date",
"Diagnosis_Date"
] | {
"headers": [
"Patient_ID",
"Diagnosis_Date",
"Treatment_Start_Date",
"Age",
"Nationality"
],
"rows": [
[
"PAT000001",
"2020-11-30",
"2020-12-04",
"69",
"Emirati"
],
[
"PAT000002",
"2015-10-10",
"2015-11-05",
"32",
"Emira... | 439 | 5 | {
"drop_rows": [
[
50,
88,
151,
154,
186,
193,
239,
301,
328,
353
]
],
"overwrite_cells": [
[
{
"col": "Nationality",
"new_value": null,
"row": 20
},
{
"col": "Nationality",
"new_value... | 16,008 | 16,000 | Introduced missingness in, Age, Nationality and Treatment_Start_Date columns. |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.64 | bad-values | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"title",
"budget",
"intgross",
"intgross_2013"
] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483",
... | 106 | 10 | {
"drop_rows": [
[
4,
10,
81,
98,
100
]
],
"overwrite_cells": [
[
{
"col": "budget",
"new_value": "#REF!",
"row": 15
},
{
"col": "intgross_2013",
"new_value": "#REF!",
"row": 27
},
{
"co... | 7,973 | 8,000 | Introduced bad values in title and budget columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 3.094 | outliers | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"budget"
] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 11 | 20 | {
"drop_rows": [
[
5
]
],
"overwrite_cells": [
[]
]
} | 1,965 | 2,000 | Introduced large outliers in budget_2013 and budget columns for absurdly high gross |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 3.243 | missingness | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483",
... | 213 | 10 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "intgross",
"new_value": null,
"row": 9
},
{
"col": "budget_2013",
"new_value": null,
"row": 31
},
{
"col": "budget_2013",
"new_value": null,
"row": ... | 16,026 | 16,000 | Introduced missingness in intgross and budget_2013 columns so the LLM needs to do the calculation with this in mind |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.797 | bad-values | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"title",
"budget",
"intgross",
"intgross_2013"
] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"Nacho Libre",
"99296462.0",
"114766488.0",
"32000000",
"36985483"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"1328111219.0",
"13755... | 176 | 5 | {
"drop_rows": [
[
16,
20,
30,
45,
67,
119,
139,
172
]
],
"overwrite_cells": [
[
{
"col": "budget",
"new_value": "#REF!",
"row": 9
},
{
"col": "title",
"new_value": "TEST ROW - REMEMBER TO REMOVE"... | 8,020 | 8,000 | Introduced bad values in title and budget columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.753 | inconsistent-formatting | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483",
... | 106 | 10 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "budget_2013",
"new_value": "$10,823,267 2013 adjusted dollars",
"row": 4
},
{
"col": "intgross",
"new_value": "549444574.0 dollars",
"row": 20
},
{
"col": "budget_2... | 7,973 | 8,000 | Introduced formatting inconsistencies in intgross and budget_2013 columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.895 | outliers | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"budget"
] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"Nacho Libre",
"99296462.0",
"114766488.0",
"32000000",
"36985483"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"1328111219.0",
"13755... | 43 | 5 | {
"drop_rows": [
[
24,
25,
36,
37
]
],
"overwrite_cells": [
[]
]
} | 1,983 | 2,000 | Introduced large outliers in budget_2013 and budget columns for absurdly high gross |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.742 | inconsistent-commonsense-logic | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"intgross",
"intgross_2013",
"budget"
] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"Nacho Libre",
"99296462.0",
"114766488.0",
"32000000",
"36985483"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"1328111219.0",
"13755... | 43 | 5 | {
"drop_rows": [
[
30,
37
]
],
"overwrite_cells": [
[]
]
} | 1,983 | 2,000 | We introduced perturbations that make it impossible to tell what is the correct values for budget and gross when it doesn't match the multiplier. |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 3.092 | inconsistent-formatting | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 23 | 20 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "intgross",
"new_value": "1328111219.0 dollars",
"row": 1
},
{
"col": "budget_2013",
"new_value": "$10,823,267 2013 adjusted dollars",
"row": 4
},
{
"col": "budget_2... | 4,011 | 4,000 | Introduced formatting inconsistencies in intgross and budget_2013 columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.785 | clean | clean | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 11 | 20 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[]
]
} | 1,965 | 2,000 | |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.962 | inconsistent-formatting | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"Nacho Libre",
"99296462.0",
"114766488.0",
"32000000",
"36985483"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"1328111219.0",
"13755... | 353 | 5 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "budget_2013",
"new_value": "$129,461,348 2013 adjusted dollars",
"row": 1
},
{
"col": "intgross",
"new_value": "302710615.0 dollars",
"row": 9
},
{
"col": "intgross... | 15,995 | 16,000 | Introduced formatting inconsistencies in intgross and budget_2013 columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.841 | missingness | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"Nacho Libre",
"99296462.0",
"114766488.0",
"32000000",
"36985483"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"1328111219.0",
"13755... | 176 | 5 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "budget_2013",
"new_value": null,
"row": 12
},
{
"col": "intgross",
"new_value": null,
"row": 19
},
{
"col": "budget_2013",
"new_value": null,
"row":... | 8,020 | 8,000 | Introduced missingness in intgross and budget_2013 columns so the LLM needs to do the calculation with this in mind |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.527 | clean | clean | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"Nacho Libre",
"99296462.0",
"114766488.0",
"32000000",
"36985483"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"1328111219.0",
"13755... | 88 | 5 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[]
]
} | 4,013 | 4,000 | |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 3.146 | bad-values | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"title",
"budget",
"intgross",
"intgross_2013"
] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 23 | 20 | {
"drop_rows": [
[
15
]
],
"overwrite_cells": [
[
{
"col": "budget",
"new_value": "#REF!",
"row": 18
},
{
"col": "intgross_2013",
"new_value": "#REF!",
"row": 19
}
]
]
} | 4,011 | 4,000 | Introduced bad values in title and budget columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.992 | bad-values | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"title",
"budget",
"intgross",
"intgross_2013"
] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"Nacho Libre",
"99296462.0",
"114766488.0",
"32000000",
"36985483"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"1328111219.0",
"13755... | 353 | 5 | {
"drop_rows": [
[
15,
42,
56,
57,
78,
90,
94,
116,
126,
139,
148,
155,
179,
193,
208,
211,
219
]
],
"overwrite_cells": [
[
{
"col": "intgross_2013",
"new_value": "#REF!",
... | 15,995 | 16,000 | Introduced bad values in title and budget columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.458 | outliers | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"budget"
] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483",
... | 106 | 10 | {
"drop_rows": [
[
4,
10,
11,
30,
33,
65,
81,
93,
97,
100
]
],
"overwrite_cells": [
[]
]
} | 7,973 | 8,000 | Introduced large outliers in budget_2013 and budget columns for absurdly high gross |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 3.094 | bad-values | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"title",
"budget",
"intgross",
"intgross_2013"
] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 11 | 20 | {
"drop_rows": [
[
5
]
],
"overwrite_cells": [
[
{
"col": "budget",
"new_value": "#REF!",
"row": 0
},
{
"col": "intgross_2013",
"new_value": "#REF!",
"row": 6
}
]
]
} | 1,965 | 2,000 | Introduced bad values in title and budget columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 3.169 | outliers | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"budget"
] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483",
... | 213 | 10 | {
"drop_rows": [
[
9,
15,
18,
45,
66,
73,
75,
86,
98,
111,
117,
141,
144,
167,
170,
178,
182,
184,
190,
191,
197
]
],
"overwrite_cells": [
[]
]
} | 16,026 | 16,000 | Introduced large outliers in budget_2013 and budget columns for absurdly high gross |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 3.092 | clean | clean | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 23 | 20 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[]
]
} | 4,011 | 4,000 | |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.785 | inconsistent-formatting | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 11 | 20 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "budget_2013",
"new_value": "$129,461,348 2013 adjusted dollars",
"row": 1
},
{
"col": "intgross",
"new_value": "97527535.0 dollars",
"row": 10
}
]
]
} | 1,965 | 2,000 | Introduced formatting inconsistencies in intgross and budget_2013 columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.962 | clean | clean | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"Nacho Libre",
"99296462.0",
"114766488.0",
"32000000",
"36985483"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"1328111219.0",
"13755... | 353 | 5 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[]
]
} | 15,995 | 16,000 | |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.753 | clean | clean | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483",
... | 106 | 10 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[]
]
} | 7,973 | 8,000 | |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.652 | clean | clean | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 93 | 20 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[]
]
} | 15,961 | 16,000 | |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.792 | inconsistent-formatting | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"Nacho Libre",
"99296462.0",
"114766488.0",
"32000000",
"36985483"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"1328111219.0",
"13755... | 43 | 5 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "budget_2013",
"new_value": "$129,461,348 2013 adjusted dollars",
"row": 1
},
{
"col": "intgross",
"new_value": "226792.0 dollars",
"row": 3
},
{
"col": "budget_2013... | 1,983 | 2,000 | Introduced formatting inconsistencies in intgross and budget_2013 columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 3.023 | outliers | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"budget"
] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 23 | 20 | {
"drop_rows": [
[
9,
15
]
],
"overwrite_cells": [
[]
]
} | 4,011 | 4,000 | Introduced large outliers in budget_2013 and budget columns for absurdly high gross |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.674 | bad-values | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"title",
"budget",
"intgross",
"intgross_2013"
] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 93 | 20 | {
"drop_rows": [
[
22,
41,
55,
72
]
],
"overwrite_cells": [
[
{
"col": "budget",
"new_value": "#REF!",
"row": 23
},
{
"col": "title",
"new_value": "TEST ROW - REMEMBER TO REMOVE",
"row": 39
},
{
... | 15,961 | 16,000 | Introduced bad values in title and budget columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.99 | outliers | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"budget"
] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"Nacho Libre",
"99296462.0",
"114766488.0",
"32000000",
"36985483"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"1328111219.0",
"13755... | 353 | 5 | {
"drop_rows": [
[
9,
15,
25,
33,
42,
56,
57,
73,
78,
84,
90,
94,
110,
116,
119,
126,
132,
137,
139,
140,
145,
148,
155,
157,
179,
193,
208,
211,
... | 15,995 | 16,000 | Introduced large outliers in budget_2013 and budget columns for absurdly high gross |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.839 | bad-values | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"title",
"budget",
"intgross",
"intgross_2013"
] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483",
... | 26 | 10 | {
"drop_rows": [
[
8
]
],
"overwrite_cells": [
[
{
"col": "budget",
"new_value": "#REF!",
"row": 13
},
{
"col": "intgross_2013",
"new_value": "#REF!",
"row": 16
}
]
]
} | 2,001 | 2,000 | Introduced bad values in title and budget columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.685 | outliers | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"budget"
] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 46 | 20 | {
"drop_rows": [
[
25,
26,
39,
44
]
],
"overwrite_cells": [
[]
]
} | 7,924 | 8,000 | Introduced large outliers in budget_2013 and budget columns for absurdly high gross |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.527 | inconsistent-formatting | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"Nacho Libre",
"99296462.0",
"114766488.0",
"32000000",
"36985483"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"1328111219.0",
"13755... | 88 | 5 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "budget_2013",
"new_value": "$10,823,267 2013 adjusted dollars",
"row": 4
},
{
"col": "intgross",
"new_value": "18959424.0 dollars",
"row": 13
},
{
"col": "budget_20... | 4,013 | 4,000 | Introduced formatting inconsistencies in intgross and budget_2013 columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.889 | inconsistent-formatting | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483",
... | 26 | 10 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "intgross",
"new_value": "226792.0 dollars",
"row": 3
},
{
"col": "budget_2013",
"new_value": "$29,910,492 2013 adjusted dollars",
"row": 10
},
{
"col": "budget_2013... | 2,001 | 2,000 | Introduced formatting inconsistencies in intgross and budget_2013 columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.698 | clean | clean | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483",
... | 53 | 10 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[]
]
} | 4,011 | 4,000 | |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.68 | outliers | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"budget"
] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 93 | 20 | {
"drop_rows": [
[
0,
10,
22,
26,
39,
40,
55,
67,
72
]
],
"overwrite_cells": [
[]
]
} | 15,961 | 16,000 | Introduced large outliers in budget_2013 and budget columns for absurdly high gross |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 3.243 | clean | clean | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483",
... | 213 | 10 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[]
]
} | 16,026 | 16,000 | |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.616 | clean | clean | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 46 | 20 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[]
]
} | 7,924 | 8,000 | |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 3.253 | bad-values | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"title",
"budget",
"intgross",
"intgross_2013"
] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483",
... | 213 | 10 | {
"drop_rows": [
[
9,
15,
67,
76,
86,
111,
117,
144,
191,
197
]
],
"overwrite_cells": [
[
{
"col": "title",
"new_value": "TEST ROW - REMEMBER TO REMOVE",
"row": 64
},
{
"col": "intgross",
... | 16,026 | 16,000 | Introduced bad values in title and budget columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.614 | outliers | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"budget"
] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483",
... | 53 | 10 | {
"drop_rows": [
[
12,
19,
41,
43,
47
]
],
"overwrite_cells": [
[]
]
} | 4,011 | 4,000 | Introduced large outliers in budget_2013 and budget columns for absurdly high gross |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.792 | clean | clean | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"Nacho Libre",
"99296462.0",
"114766488.0",
"32000000",
"36985483"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"1328111219.0",
"13755... | 43 | 5 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[]
]
} | 1,983 | 2,000 | |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.652 | missingness | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 93 | 20 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "intgross",
"new_value": null,
"row": 22
},
{
"col": "budget_2013",
"new_value": null,
"row": 24
},
{
"col": "intgross",
"new_value": null,
"row": 40... | 15,961 | 16,000 | Introduced missingness in intgross and budget_2013 columns so the LLM needs to do the calculation with this in mind |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.783 | outliers | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"budget"
] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483",
... | 26 | 10 | {
"drop_rows": [
[
8,
16
]
],
"overwrite_cells": [
[]
]
} | 2,001 | 2,000 | Introduced large outliers in budget_2013 and budget columns for absurdly high gross |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.659 | bad-values | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"title",
"budget",
"intgross",
"intgross_2013"
] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 46 | 20 | {
"drop_rows": [
[
25,
39
]
],
"overwrite_cells": [
[
{
"col": "budget",
"new_value": "#REF!",
"row": 2
},
{
"col": "intgross_2013",
"new_value": "#REF!",
"row": 16
}
]
]
} | 7,924 | 8,000 | Introduced bad values in title and budget columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.616 | inconsistent-formatting | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 46 | 20 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "budget_2013",
"new_value": "$129,461,348 2013 adjusted dollars",
"row": 1
},
{
"col": "intgross",
"new_value": "226792.0 dollars",
"row": 3
},
{
"col": "intgross",
... | 7,924 | 8,000 | Introduced formatting inconsistencies in intgross and budget_2013 columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.491 | inconsistent-commonsense-logic | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"intgross",
"intgross_2013",
"budget"
] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"Nacho Libre",
"99296462.0",
"114766488.0",
"32000000",
"36985483"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"1328111219.0",
"13755... | 88 | 5 | {
"drop_rows": [
[
68,
76
]
],
"overwrite_cells": [
[]
]
} | 4,013 | 4,000 | We introduced perturbations that make it impossible to tell what is the correct values for budget and gross when it doesn't match the multiplier. |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.473 | outliers | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"budget"
] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"Nacho Libre",
"99296462.0",
"114766488.0",
"2269128919",
"1234892434"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"1328111219.0",
"1... | 88 | 5 | {
"drop_rows": [
[
0,
10,
12,
18,
22,
26,
67,
76
]
],
"overwrite_cells": [
[]
]
} | 4,013 | 4,000 | Introduced large outliers in budget_2013 and budget columns for absurdly high gross |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.889 | clean | clean | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483",
... | 26 | 10 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[]
]
} | 2,001 | 2,000 | |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.698 | inconsistent-formatting | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483",
... | 53 | 10 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "intgross",
"new_value": "302710615.0 dollars",
"row": 9
},
{
"col": "budget_2013",
"new_value": "$13,869,556 2013 adjusted dollars",
"row": 11
},
{
"col": "intgross... | 4,011 | 4,000 | Introduced formatting inconsistencies in intgross and budget_2013 columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.625 | bad-values | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"title",
"budget",
"intgross",
"intgross_2013"
] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483",
... | 53 | 10 | {
"drop_rows": [
[
19,
41
]
],
"overwrite_cells": [
[
{
"col": "intgross_2013",
"new_value": "#REF!",
"row": 1
},
{
"col": "budget",
"new_value": "#REF!",
"row": 30
}
]
]
} | 4,011 | 4,000 | Introduced bad values in title and budget columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.698 | missingness | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483",
... | 53 | 10 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "intgross",
"new_value": null,
"row": 19
},
{
"col": "budget_2013",
"new_value": null,
"row": 39
}
]
]
} | 4,011 | 4,000 | Introduced missingness in intgross and budget_2013 columns so the LLM needs to do the calculation with this in mind |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.665 | inconsistent-commonsense-logic | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"intgross",
"intgross_2013",
"budget"
] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 93 | 20 | {
"drop_rows": [
[
40,
80
]
],
"overwrite_cells": [
[]
]
} | 15,961 | 16,000 | We introduced perturbations that make it impossible to tell what is the correct values for budget and gross when it doesn't match the multiplier. |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.891 | outliers | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"budget"
] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"Nacho Libre",
"99296462.0",
"114766488.0",
"32000000",
"36985483"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"1328111219.0",
"13755... | 176 | 5 | {
"drop_rows": [
[
15,
16,
19,
24,
30,
41,
45,
67,
109,
111,
113,
118,
119,
139,
140,
160,
172
]
],
"overwrite_cells": [
[]
]
} | 8,020 | 8,000 | Introduced large outliers in budget_2013 and budget columns for absurdly high gross |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.779 | bad-values | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"title",
"budget",
"intgross",
"intgross_2013"
] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"Nacho Libre",
"99296462.0",
"114766488.0",
"32000000",
"36985483"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"1328111219.0",
"13755... | 43 | 5 | {
"drop_rows": [
[
24,
37
]
],
"overwrite_cells": [
[
{
"col": "intgross_2013",
"new_value": "#REF!",
"row": 13
},
{
"col": "budget",
"new_value": "#REF!",
"row": 33
}
]
]
} | 1,983 | 2,000 | Introduced bad values in title and budget columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.792 | missingness | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"Nacho Libre",
"99296462.0",
"114766488.0",
"32000000",
"36985483"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"1328111219.0",
"13755... | 43 | 5 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "budget_2013",
"new_value": null,
"row": 30
},
{
"col": "intgross",
"new_value": null,
"row": 37
}
]
]
} | 1,983 | 2,000 | Introduced missingness in intgross and budget_2013 columns so the LLM needs to do the calculation with this in mind |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.816 | inconsistent-commonsense-logic | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"intgross",
"intgross_2013",
"budget"
] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"Nacho Libre",
"99296462.0",
"114766488.0",
"32000000",
"36985483.0"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"1328111219.0",
"137... | 176 | 5 | {
"drop_rows": [
[
170,
171,
172,
173,
174,
175
]
],
"overwrite_cells": [
[
{
"col": "budget_2013",
"new_value": "36985483.0",
"row": 0
},
{
"col": "budget_2013",
"new_value": "129461348.0",
"row": 1
... | 8,020 | 8,000 | We introduced perturbations that make it impossible to tell what is the correct values for budget and gross when it doesn't match the multiplier. |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.616 | missingness | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 46 | 20 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "budget_2013",
"new_value": null,
"row": 2
},
{
"col": "intgross",
"new_value": null,
"row": 39
}
]
]
} | 7,924 | 8,000 | Introduced missingness in intgross and budget_2013 columns so the LLM needs to do the calculation with this in mind |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 3.204 | inconsistent-commonsense-logic | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"intgross",
"intgross_2013",
"budget"
] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 11 | 20 | {
"drop_rows": [
[
9,
10
]
],
"overwrite_cells": [
[
{
"col": "title",
"new_value": "Nacho Libre",
"row": 0
},
{
"col": "released",
"new_value": "16 Jun 2006",
"row": 0
},
{
"col": "awards",
"new_... | 1,965 | 2,000 | We introduced perturbations that make it impossible to tell what is the correct values for budget and gross when it doesn't match the multiplier. |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.929 | inconsistent-commonsense-logic | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"intgross",
"intgross_2013",
"budget"
] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 23 | 20 | {
"drop_rows": [
[
21,
22
]
],
"overwrite_cells": [
[
{
"col": "budget_2013",
"new_value": "36985483.0",
"row": 0
},
{
"col": "budget_2013",
"new_value": "129461348.0",
"row": 1
},
{
"col": "budget_2013",... | 4,011 | 4,000 | We introduced perturbations that make it impossible to tell what is the correct values for budget and gross when it doesn't match the multiplier. |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.985 | inconsistent-commonsense-logic | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"intgross",
"intgross_2013",
"budget"
] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"Nacho Libre",
"99296462.0",
"114766488.0",
"32000000",
"36985483.0"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"1328111219.0",
"137... | 353 | 5 | {
"drop_rows": [
[
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
350,
351,
352
]
],
"overwrite_cells": [
[
{
"col": "budget_2013",
"new_value": "36985483.0",
"row": 0
},
{
... | 15,995 | 16,000 | We introduced perturbations that make it impossible to tell what is the correct values for budget and gross when it doesn't match the multiplier. |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 3.243 | inconsistent-formatting | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483",
... | 213 | 10 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "intgross",
"new_value": "28674417.0 dollars",
"row": 4
},
{
"col": "budget_2013",
"new_value": "$13,869,556 2013 adjusted dollars",
"row": 11
},
{
"col": "intgross"... | 16,026 | 16,000 | Introduced formatting inconsistencies in intgross and budget_2013 columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.652 | inconsistent-commonsense-logic | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"intgross",
"intgross_2013",
"budget"
] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483.0",
... | 106 | 10 | {
"drop_rows": [
[
102,
103,
104,
105
]
],
"overwrite_cells": [
[
{
"col": "budget_2013",
"new_value": "36985483.0",
"row": 0
},
{
"col": "budget_2013",
"new_value": "129461348.0",
"row": 1
},
{
... | 7,973 | 8,000 | We introduced perturbations that make it impossible to tell what is the correct values for budget and gross when it doesn't match the multiplier. |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.889 | missingness | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483",
... | 26 | 10 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "intgross",
"new_value": null,
"row": 8
},
{
"col": "budget_2013",
"new_value": null,
"row": 14
}
]
]
} | 2,001 | 2,000 | Introduced missingness in intgross and budget_2013 columns so the LLM needs to do the calculation with this in mind |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.841 | inconsistent-formatting | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"Nacho Libre",
"99296462.0",
"114766488.0",
"32000000",
"36985483"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"1328111219.0",
"13755... | 176 | 5 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "intgross",
"new_value": "28674417.0 dollars",
"row": 4
},
{
"col": "budget_2013",
"new_value": "$13,869,556 2013 adjusted dollars",
"row": 11
},
{
"col": "budget_20... | 8,020 | 8,000 | Introduced formatting inconsistencies in intgross and budget_2013 columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.616 | inconsistent-commonsense-logic | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"intgross",
"intgross_2013",
"budget"
] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483",
... | 53 | 10 | {
"drop_rows": [
[
19,
39
]
],
"overwrite_cells": [
[]
]
} | 4,011 | 4,000 | We introduced perturbations that make it impossible to tell what is the correct values for budget and gross when it doesn't match the multiplier. |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.652 | inconsistent-formatting | naive-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 93 | 20 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "budget_2013",
"new_value": "$10,823,267 2013 adjusted dollars",
"row": 4
},
{
"col": "intgross",
"new_value": "97527535.0 dollars",
"row": 10
},
{
"col": "intgross"... | 15,961 | 16,000 | Introduced formatting inconsistencies in intgross and budget_2013 columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.607 | inconsistent-commonsense-logic | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"intgross",
"intgross_2013",
"budget"
] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 46 | 20 | {
"drop_rows": [
[
44,
45
]
],
"overwrite_cells": [
[
{
"col": "budget_2013",
"new_value": "36985483.0",
"row": 0
},
{
"col": "budget_2013",
"new_value": "129461348.0",
"row": 1
},
{
"col": "title",
... | 7,924 | 8,000 | We introduced perturbations that make it impossible to tell what is the correct values for budget and gross when it doesn't match the multiplier. |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.785 | missingness | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 11 | 20 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "budget_2013",
"new_value": null,
"row": 0
},
{
"col": "intgross",
"new_value": null,
"row": 5
}
]
]
} | 1,965 | 2,000 | Introduced missingness in intgross and budget_2013 columns so the LLM needs to do the calculation with this in mind |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 3.267 | inconsistent-commonsense-logic | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"intgross",
"intgross_2013",
"budget"
] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483.0",
... | 213 | 10 | {
"drop_rows": [
[
205,
206,
207,
208,
209,
210,
211,
212
]
],
"overwrite_cells": [
[
{
"col": "budget_2013",
"new_value": "36985483.0",
"row": 0
},
{
"col": "budget_2013",
"new_value": "129461348... | 16,026 | 16,000 | We introduced perturbations that make it impossible to tell what is the correct values for budget and gross when it doesn't match the multiplier. |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.962 | missingness | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"Nacho Libre",
"99296462.0",
"114766488.0",
"32000000",
"36985483"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"1328111219.0",
"13755... | 353 | 5 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "intgross",
"new_value": null,
"row": 15
},
{
"col": "intgross",
"new_value": null,
"row": 42
},
{
"col": "intgross",
"new_value": null,
"row": 56
... | 15,995 | 16,000 | Introduced missingness in intgross and budget_2013 columns so the LLM needs to do the calculation with this in mind |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 3.092 | missingness | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"released",
"awards",
"test",
"year",
"imdb_votes",
"genre",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"response",
"domgross_2013",
"clean_test",
"language",
"poster",
"decade_code",
"rated",
"binary",
... | 23 | 20 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "intgross",
"new_value": null,
"row": 15
},
{
"col": "budget_2013",
"new_value": null,
"row": 19
}
]
]
} | 4,011 | 4,000 | Introduced missingness in intgross and budget_2013 columns so the LLM needs to do the calculation with this in mind |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.841 | clean | clean | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"Nacho Libre",
"99296462.0",
"114766488.0",
"32000000",
"36985483"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"1328111219.0",
"13755... | 176 | 5 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[]
]
} | 8,020 | 8,000 | |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.527 | missingness | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"Nacho Libre",
"",
"114766488.0",
"32000000",
"36985483"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"1328111219.0",
"1375512553.0",
... | 88 | 5 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "intgross",
"new_value": null,
"row": 0
},
{
"col": "budget_2013",
"new_value": null,
"row": 31
},
{
"col": "budget_2013",
"new_value": null,
"row": ... | 4,013 | 4,000 | Introduced missingness in intgross and budget_2013 columns so the LLM needs to do the calculation with this in mind |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.447 | bad-values | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"title",
"budget",
"intgross",
"intgross_2013"
] | {
"headers": [
"title",
"intgross",
"intgross_2013",
"budget",
"budget_2013"
],
"rows": [
[
"TEST ROW - REMEMBER TO REMOVE",
"99296462.0",
"114766488.0",
"32000000",
"36985483"
],
[
"Harry Potter and the Deathly Hallows: Part 2",
"132811121... | 88 | 5 | {
"drop_rows": [
[
0,
22,
26,
76
]
],
"overwrite_cells": [
[
{
"col": "intgross_2013",
"new_value": "#REF!",
"row": 30
},
{
"col": "budget",
"new_value": "#REF!",
"row": 52
},
{
"col": "budget... | 4,013 | 4,000 | Introduced bad values in title and budget columns |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.753 | missingness | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"intgross",
"budget_2013"
] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483",
... | 106 | 10 | {
"drop_rows": [
[]
],
"overwrite_cells": [
[
{
"col": "intgross",
"new_value": null,
"row": 4
},
{
"col": "intgross",
"new_value": null,
"row": 10
},
{
"col": "budget_2013",
"new_value": null,
"row": 11
... | 7,973 | 8,000 | Introduced missingness in intgross and budget_2013 columns so the LLM needs to do the calculation with this in mind |
movies-roi | The dataset includes budget and gross numbers as of the release year of movies as well as normalized to 2013 dollars.
What is the average ROI where ROI = (intgross - budget) / budget?
Return your answer as a float rounded to the nearest 3 decimal places. | 2.955 | inconsistent-commonsense-logic | connected-multi-column | [
"intgross",
"intgross_2013",
"budget",
"budget_2013"
] | [
"budget_2013",
"intgross",
"intgross_2013",
"budget"
] | {
"headers": [
"title",
"response",
"intgross",
"intgross_2013",
"budget",
"budget_2013",
"year",
"domgross_2013",
"released",
"clean_test"
],
"rows": [
[
"Nacho Libre",
"True",
"99296462.0",
"114766488.0",
"32000000",
"36985483",
... | 26 | 10 | {
"drop_rows": [
[
8,
14
]
],
"overwrite_cells": [
[]
]
} | 2,001 | 2,000 | We introduced perturbations that make it impossible to tell what is the correct values for budget and gross when it doesn't match the multiplier. |
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