evaluation_date
string | test_data_path
string | metrics
dict | detailed_results
list |
|---|---|---|---|
2025-08-28T10:14:48.787227
|
./data/testing/test_examples_101-200.json
|
{
"trained": {
"total_examples": 100,
"valid_json_rate": 0,
"average_inference_time": 0,
"total_inference_time": 0
},
"untrained": {
"total_examples": 100,
"valid_json_rate": 0,
"average_inference_time": 0,
"total_inference_time": 0
}
}
|
[
{
"example_id": 1,
"model_name": "trained",
"question": "What are the ids of the users who either registered or attended a course?",
"ground_truth": {
"dimensions": [
"ids of the users"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 2,
"model_name": "trained",
"question": "Find the id of courses which are registered or attended by student whose id is 121?",
"ground_truth": {
"dimensions": [
"id of courses",
"student whose id is 121"
],
"measures": [],
"calculations": [],
"filters": [
"121"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 3,
"model_name": "trained",
"question": "What are all the the ids of the courses that are registered or attended by the student whose id is 121?",
"ground_truth": {
"dimensions": [
"ids of the courses",
"student whose id is 121"
],
"measures": [],
"calculations": [],
"filters": [
"121"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 4,
"model_name": "trained",
"question": "What are all info of users who registered courses but not attended courses?",
"ground_truth": {
"dimensions": [
"users",
"courses"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 5,
"model_name": "trained",
"question": "What are all details of the users who registered but did not attend any course?",
"ground_truth": {
"dimensions": [
"all details of the users"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 6,
"model_name": "trained",
"question": "List the id of users who registered course statistics in the order of registration date.",
"ground_truth": {
"dimensions": [
"id of users"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 7,
"model_name": "trained",
"question": "What are the ids of the users who registered course statistics by order of registration date?",
"ground_truth": {
"dimensions": [
"ids of the users"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 8,
"model_name": "trained",
"question": "List the id of users who attended statistics courses in the order of attendance date.",
"ground_truth": {
"dimensions": [
"id of users",
"attendance date"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 9,
"model_name": "trained",
"question": "What are the ids of the users who attended courses in the statistics department in order of attendance date.",
"ground_truth": {
"dimensions": [
"ids of the users",
"statistics department",
"attendance date"
],
"measures": [],
"calculations": [],
"filters": [
"Statistics"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 10,
"model_name": "trained",
"question": "Give me the dates when the max temperature was higher than 85.",
"ground_truth": {
"dimensions": [],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 11,
"model_name": "trained",
"question": "What are the dates with a maximum temperature higher than 85?",
"ground_truth": {
"dimensions": [
"dates with a maximum temperature higher than 85"
],
"measures": [],
"calculations": [],
"filters": [
"maximum temperature higher than 85"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 12,
"model_name": "trained",
"question": "What are the names of stations that have latitude lower than 37.5?",
"ground_truth": {
"dimensions": [
"names of stations"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 13,
"model_name": "trained",
"question": "What are the names of all stations with a latitude smaller than 37.5?",
"ground_truth": {
"dimensions": [
"names of all stations"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 14,
"model_name": "trained",
"question": "For each city, return the highest latitude among its stations.",
"ground_truth": {
"dimensions": [
"each city"
],
"measures": [
"highest latitude"
],
"calculations": [
"Maximum"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 15,
"model_name": "trained",
"question": "For each city, what is the highest latitude for its stations?",
"ground_truth": {
"dimensions": [
"each city"
],
"measures": [
"highest latitude"
],
"calculations": [
"Maximum"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 16,
"model_name": "trained",
"question": "Give me the start station and end station for the trips with the three oldest id.",
"ground_truth": {
"dimensions": [
"start station",
"end station"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 17,
"model_name": "trained",
"question": "What is the station station and end station for the trips with the three smallest ids?",
"ground_truth": {
"dimensions": [
"station station",
"end station"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 18,
"model_name": "trained",
"question": "What is the average latitude and longitude of stations located in San Jose city?",
"ground_truth": {
"dimensions": [
"stations",
"San Jose city"
],
"measures": [
"average latitude",
"average longitude"
],
"calculations": [
"Average",
"Average"
],
"filters": [
"San Jose"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 19,
"model_name": "trained",
"question": "What is the average latitude and longitude in San Jose?",
"ground_truth": {
"dimensions": [
"San Jose"
],
"measures": [
"average latitude",
"average longitude"
],
"calculations": [
"Average",
"Average"
],
"filters": [
"San Jose"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 20,
"model_name": "trained",
"question": "What is the id of the trip that has the shortest duration?",
"ground_truth": {
"dimensions": [],
"measures": [
"id"
],
"calculations": [
"None"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 21,
"model_name": "trained",
"question": "What is the id of the shortest trip?",
"ground_truth": {
"dimensions": [
"id of the shortest trip"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 22,
"model_name": "trained",
"question": "What is the total and maximum duration of trips with bike id 636?",
"ground_truth": {
"dimensions": [
"bike id 636"
],
"measures": [
"total duration",
"maximum duration"
],
"calculations": [
"Total",
"Maximum"
],
"filters": [
"636"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 23,
"model_name": "trained",
"question": "What is the total and maximum duration for all trips with the bike id 636?",
"ground_truth": {
"dimensions": [
"bike id 636"
],
"measures": [
"total duration",
"maximum duration"
],
"calculations": [
"Total",
"Maximum"
],
"filters": [
"636"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 24,
"model_name": "trained",
"question": "For each zip code, return the average mean temperature of August there.",
"ground_truth": {
"dimensions": [
"zip code"
],
"measures": [
"average mean temperature"
],
"calculations": [
"Average"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 25,
"model_name": "trained",
"question": "For each zip code, what is the average mean temperature for all dates that start with '8'?",
"ground_truth": {
"dimensions": [
"zip code"
],
"measures": [
"average mean temperature"
],
"calculations": [
"Average"
],
"filters": [],
"time_references": [
"dates that start with '8'"
]
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 26,
"model_name": "trained",
"question": "From the trip record, find the number of unique bikes.",
"ground_truth": {
"dimensions": [
"bikes"
],
"measures": [
"number of unique bikes"
],
"calculations": [
"Count Distinct"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 27,
"model_name": "trained",
"question": "How many different bike ids are there?",
"ground_truth": {
"dimensions": [
"bike ids"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 28,
"model_name": "trained",
"question": "What is the number of distinct cities the stations are located at?",
"ground_truth": {
"dimensions": [
"cities"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 29,
"model_name": "trained",
"question": "How many different cities have these stations?",
"ground_truth": {
"dimensions": [
"cities"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 30,
"model_name": "trained",
"question": "How many stations does Mountain View city has?",
"ground_truth": {
"dimensions": [
"Mountain View city"
],
"measures": [
"how many stations"
],
"calculations": [
"Count"
],
"filters": [
"Mountain View"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 31,
"model_name": "trained",
"question": "How many stations are in Mountain View?",
"ground_truth": {
"dimensions": [
"stations",
"Mountain View"
],
"measures": [
"how many"
],
"calculations": [
"Count"
],
"filters": [
"Mountain View"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 32,
"model_name": "trained",
"question": "Return the unique name for stations that have ever had 7 bikes available.",
"ground_truth": {
"dimensions": [
"station"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 33,
"model_name": "trained",
"question": "What are the different names for each station that has ever had 7 bikes available?",
"ground_truth": {
"dimensions": [
"names for each station"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 34,
"model_name": "trained",
"question": "Which start station had the most trips starting from August? Give me the name and id of the station.",
"ground_truth": {
"dimensions": [
"name",
"id"
],
"measures": [
"most trips"
],
"calculations": [
"Count"
],
"filters": [],
"time_references": [
"August"
]
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 35,
"model_name": "trained",
"question": "What are the start station's name and id for the one that had the most start trips in August?",
"ground_truth": {
"dimensions": [],
"measures": [
"start station's name",
"id"
],
"calculations": [],
"filters": [],
"time_references": [
"August"
]
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 36,
"model_name": "trained",
"question": "Which bike traveled the most often in zip code 94002?",
"ground_truth": {
"dimensions": [
"bike",
"zip code 94002"
],
"measures": [],
"calculations": [],
"filters": [
"94002"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 37,
"model_name": "trained",
"question": "What is the id of the bike that traveled the most in 94002?",
"ground_truth": {
"dimensions": [
"id of the bike"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": [
"in 94002"
]
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 38,
"model_name": "trained",
"question": "How many days had both mean humidity above 50 and mean visibility above 8?",
"ground_truth": {
"dimensions": [],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 39,
"model_name": "trained",
"question": "What is the number of days that had an average humity above 50 and an average visibility above 8?",
"ground_truth": {
"dimensions": [],
"measures": [
"number of days"
],
"calculations": [
"Count"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 40,
"model_name": "trained",
"question": "What is the latitude, longitude, city of the station from which the shortest trip started?",
"ground_truth": {
"dimensions": [
"latitude",
"longitude",
"city"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 41,
"model_name": "trained",
"question": "What is the latitude, longitude, and city of the station from which the trip with smallest duration started?",
"ground_truth": {
"dimensions": [
"latitude",
"longitude",
"city"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 42,
"model_name": "trained",
"question": "What are the ids of stations that are located in San Francisco and have average bike availability above 10.",
"ground_truth": {
"dimensions": [
"ids of stations",
"located in San Francisco"
],
"measures": [],
"calculations": [],
"filters": [
"San Francisco"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 43,
"model_name": "trained",
"question": "What are the ids of the stations in San Francisco that normally have more than 10 bikes available?",
"ground_truth": {
"dimensions": [
"ids of the stations",
"stations in San Francisco"
],
"measures": [],
"calculations": [],
"filters": [
"San Francisco"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 44,
"model_name": "trained",
"question": "What are the names and ids of stations that had more than 14 bikes available on average or were installed in December?",
"ground_truth": {
"dimensions": [
"names of stations",
"ids of stations"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 45,
"model_name": "trained",
"question": "What are the names and ids of all stations that have more than 14 bikes available on average or had bikes installed in December?",
"ground_truth": {
"dimensions": [
"names",
"ids"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 46,
"model_name": "trained",
"question": "What is the 3 most common cloud cover rates in the region of zip code 94107?",
"ground_truth": {
"dimensions": [
"region of zip code 94107"
],
"measures": [
"most common cloud cover rates"
],
"calculations": [
"most common"
],
"filters": [
"zip code 94107"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 47,
"model_name": "trained",
"question": "What are all the the 3 most common cloud covers in the zip code of 94107?",
"ground_truth": {
"dimensions": [
"cloud covers",
"zip code of 94107"
],
"measures": [],
"calculations": [],
"filters": [
"94107"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 48,
"model_name": "trained",
"question": "What is the zip code in which the average mean sea level pressure is the lowest?",
"ground_truth": {
"dimensions": [
"zip code"
],
"measures": [
"average mean sea level pressure"
],
"calculations": [
"Average"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 49,
"model_name": "trained",
"question": "What is the zip code that has the lowest average mean sea level pressure?",
"ground_truth": {
"dimensions": [
"zip code"
],
"measures": [
"lowest average mean sea level pressure"
],
"calculations": [
"Lowest"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 50,
"model_name": "trained",
"question": "What is the average bike availability in stations that are not located in Palo Alto?",
"ground_truth": {
"dimensions": [
"stations"
],
"measures": [
"average bike availability"
],
"calculations": [
"Average"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 51,
"model_name": "trained",
"question": "What is the average bike availablility for stations not in Palo Alto?",
"ground_truth": {
"dimensions": [
"stations not in Palo Alto"
],
"measures": [
"average bike availablility"
],
"calculations": [
"Average"
],
"filters": [
"not in Palo Alto"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 52,
"model_name": "trained",
"question": "What is the average longitude of stations that never had bike availability more than 10?",
"ground_truth": {
"dimensions": [
"stations"
],
"measures": [
"average longitude"
],
"calculations": [
"Average"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 53,
"model_name": "trained",
"question": "What is the mean longitude for all stations that have never had more than 10 bikes available?",
"ground_truth": {
"dimensions": [
"stations"
],
"measures": [
"mean longitude"
],
"calculations": [
"Mean"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 54,
"model_name": "trained",
"question": "When and in what zip code did max temperature reach 80?",
"ground_truth": {
"dimensions": [
"zip code",
"When"
],
"measures": [
"max temperature"
],
"calculations": [
"Maximum"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 55,
"model_name": "trained",
"question": "What zip codes have a station with a max temperature greater than or equal to 80 and when did it reach that temperature?",
"ground_truth": {
"dimensions": [
"zip codes",
"station"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 56,
"model_name": "trained",
"question": "Give me ids for all the trip that took place in a zip code area with average mean temperature above 60.",
"ground_truth": {
"dimensions": [
"ids for all the trip",
"zip code area"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 57,
"model_name": "trained",
"question": "For each zip code, find the ids of all trips that have a higher average mean temperature above 60?",
"ground_truth": {
"dimensions": [
"each zip code"
],
"measures": [
"ids of all trips"
],
"calculations": [
"All"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 58,
"model_name": "trained",
"question": "For each zip code, return how many times max wind speed reached 25?",
"ground_truth": {
"dimensions": [
"zip code"
],
"measures": [
"max wind speed"
],
"calculations": [
"Maximum"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 59,
"model_name": "trained",
"question": "For each zip code, how many times has the maximum wind speed reached 25 mph?",
"ground_truth": {
"dimensions": [
"zip code"
],
"measures": [
"maximum wind speed"
],
"calculations": [
"Maximum"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 60,
"model_name": "trained",
"question": "On which day and in which zip code was the min dew point lower than any day in zip code 94107?",
"ground_truth": {
"dimensions": [
"day",
"zip code 94107"
],
"measures": [
"min dew point"
],
"calculations": [
"Minimum"
],
"filters": [
"94107"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 61,
"model_name": "trained",
"question": "Which days had a minimum dew point smaller than any day in zip code 94107, and in which zip codes were those measurements taken?",
"ground_truth": {
"dimensions": [
"Which days",
"zip code 94107"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 62,
"model_name": "trained",
"question": "For each trip, return its ending station's installation date.",
"ground_truth": {
"dimensions": [
"ending station's installation date"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 63,
"model_name": "trained",
"question": "What is the installation date for each ending station on all the trips?",
"ground_truth": {
"dimensions": [
"ending station",
"trips"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 64,
"model_name": "trained",
"question": "Which trip started from the station with the largest dock total? Give me the trip id.",
"ground_truth": {
"dimensions": [
"trip id"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 65,
"model_name": "trained",
"question": "What is the id of the trip that started from the station with the highest dock total?",
"ground_truth": {
"dimensions": [
"id of the trip"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 66,
"model_name": "trained",
"question": "total the number of trips that did not end in San Francisco city.",
"ground_truth": {
"dimensions": [
"end in San Francisco city"
],
"measures": [
"total the number of trips"
],
"calculations": [
"Count"
],
"filters": [
"San Francisco"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 67,
"model_name": "trained",
"question": "How many trips did not end in San Francisco?",
"ground_truth": {
"dimensions": [
"in San Francisco"
],
"measures": [
"how many trips"
],
"calculations": [
"Count"
],
"filters": [
"San Francisco"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 68,
"model_name": "trained",
"question": "In zip code 94107, on which day neither Fog nor Rain was not observed?",
"ground_truth": {
"dimensions": [
"zip code 94107"
],
"measures": [],
"calculations": [],
"filters": [
"94107"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 69,
"model_name": "trained",
"question": "On which day has it neither been foggy nor rained in the zip code of 94107?",
"ground_truth": {
"dimensions": [],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 70,
"model_name": "trained",
"question": "What are the ids of stations that have latitude above 37.4 and never had bike availability below 7?",
"ground_truth": {
"dimensions": [
"ids of stations"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 71,
"model_name": "trained",
"question": "What are the ids of all stations that have a latitude above 37.4 and have never had less than 7 bikes available?",
"ground_truth": {
"dimensions": [
"ids of all stations"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 72,
"model_name": "trained",
"question": "What are names of stations that have average bike availability above 10 and are not located in San Jose city?",
"ground_truth": {
"dimensions": [
"names of stations"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 73,
"model_name": "trained",
"question": "What are the names of all stations that have more than 10 bikes available and are not located in San Jose?",
"ground_truth": {
"dimensions": [
"names of all stations"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 74,
"model_name": "trained",
"question": "What are the name, latitude, and city of the station with the lowest latitude?",
"ground_truth": {
"dimensions": [
"name",
"latitude",
"city"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 75,
"model_name": "trained",
"question": "What is the name, latitude, and city of the station that is located the furthest South?",
"ground_truth": {
"dimensions": [
"name",
"latitude",
"city"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 76,
"model_name": "trained",
"question": "What are the date, mean temperature and mean humidity for the top 3 days with the largest max gust speeds?",
"ground_truth": {
"dimensions": [],
"measures": [
"date",
"mean temperature",
"mean humidity"
],
"calculations": [
"Average",
"Average"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 77,
"model_name": "trained",
"question": "What is the date, average temperature and mean humidity for the days with the 3 largest maximum gust speeds?",
"ground_truth": {
"dimensions": [],
"measures": [
"date",
"average temperature",
"mean humidity"
],
"calculations": [
"None",
"Average",
"Mean"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 78,
"model_name": "trained",
"question": "List the name and the number of stations for all the cities that have at least 15 stations.",
"ground_truth": {
"dimensions": [
"cities that have at least 15 stations"
],
"measures": [
"name",
"number of stations"
],
"calculations": [
"Count"
],
"filters": [
"stations >= 15"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 79,
"model_name": "trained",
"question": "What is the name of every city that has at least 15 stations and how many stations does it have?",
"ground_truth": {
"dimensions": [
"city"
],
"measures": [
"how many stations"
],
"calculations": [
"Count"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 80,
"model_name": "trained",
"question": "Find the ids and names of stations from which at least 200 trips started.",
"ground_truth": {
"dimensions": [
"stations from which at least 200 trips started"
],
"measures": [
"ids",
"names"
],
"calculations": [
"Identify",
"Identify"
],
"filters": [
"from which at least 200 trips started"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 81,
"model_name": "trained",
"question": "What are the ids and names of all start stations that were the beginning of at least 200 trips?",
"ground_truth": {
"dimensions": [
"ids",
"names"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 82,
"model_name": "trained",
"question": "Find the zip code in which the average mean visibility is lower than 10.",
"ground_truth": {
"dimensions": [
"zip code"
],
"measures": [
"average mean visibility"
],
"calculations": [
"Average"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 83,
"model_name": "trained",
"question": "For each zip code, select all those that have an average mean visiblity below 10.",
"ground_truth": {
"dimensions": [
"zip code"
],
"measures": [
"average mean visiblity"
],
"calculations": [
"Average"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 84,
"model_name": "trained",
"question": "List all the cities in a decreasing order of each city's stations' highest latitude.",
"ground_truth": {
"dimensions": [
"cities"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 85,
"model_name": "trained",
"question": "For each city, list their names in decreasing order by their highest station latitude.",
"ground_truth": {
"dimensions": [
"city"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 86,
"model_name": "trained",
"question": "What are the dates that had the top 5 cloud cover rates? Also tell me the cloud cover rate.",
"ground_truth": {
"dimensions": [
"dates"
],
"measures": [
"top 5 cloud cover rates"
],
"calculations": [
"Top 5"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 87,
"model_name": "trained",
"question": "What are the dates that have the 5 highest cloud cover rates and what are the rates?",
"ground_truth": {
"dimensions": [
"dates"
],
"measures": [
"5 highest cloud cover rates"
],
"calculations": [
"Top 5"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 88,
"model_name": "trained",
"question": "What are the ids and durations of the trips with the top 3 durations?",
"ground_truth": {
"dimensions": [],
"measures": [
"ids",
"durations"
],
"calculations": [
"List",
"Max"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 89,
"model_name": "trained",
"question": "What are all the the ids of the trips that lasted the longest and how long did they last?",
"ground_truth": {
"dimensions": [],
"measures": [
"ids of the trips",
"lasted the longest",
"how long did they last"
],
"calculations": [
"All",
"Maximum",
"Total or average"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 90,
"model_name": "trained",
"question": "For each station, return its longitude and the average duration of trips that started from the station.",
"ground_truth": {
"dimensions": [
"each station"
],
"measures": [
"average duration of trips"
],
"calculations": [
"Average"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 91,
"model_name": "trained",
"question": "For each start station id, what is its name, longitude and average duration of trips started there?",
"ground_truth": {
"dimensions": [
"start station id",
"name",
"longitude"
],
"measures": [
"average duration of trips started there"
],
"calculations": [
"Average"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 92,
"model_name": "trained",
"question": "For each station, find its latitude and the minimum duration of trips that ended at the station.",
"ground_truth": {
"dimensions": [
"each station"
],
"measures": [
"minimum duration"
],
"calculations": [
"Minimum"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 93,
"model_name": "trained",
"question": "For each end station id, what is its name, latitude, and minimum duration for trips ended there?",
"ground_truth": {
"dimensions": [
"end station id"
],
"measures": [
"name",
"latitude",
"minimum duration"
],
"calculations": [
"None",
"None",
"Minimum"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 94,
"model_name": "trained",
"question": "List all the distinct stations from which a trip of duration below 100 started.",
"ground_truth": {
"dimensions": [
"stations"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 95,
"model_name": "trained",
"question": "What are all the different start station names for a trip that lasted less than 100?",
"ground_truth": {
"dimensions": [
"start station names"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": [
"less than 100"
]
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 96,
"model_name": "trained",
"question": "Find all the zip codes in which the max dew point have never reached 70.",
"ground_truth": {
"dimensions": [
"zip codes"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 97,
"model_name": "trained",
"question": "What are all the different zip codes that have a maximum dew point that was always below 70?",
"ground_truth": {
"dimensions": [
"zip codes"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 98,
"model_name": "trained",
"question": "Find the id for the trips that lasted at least as long as the average duration of trips in zip code 94103.",
"ground_truth": {
"dimensions": [],
"measures": [
"id",
"duration"
],
"calculations": [
"None",
"None"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 99,
"model_name": "trained",
"question": "What are the ids of all trips that had a duration as long as the average trip duration in the zip code 94103?",
"ground_truth": {
"dimensions": [],
"measures": [
"ids of all trips",
"trip duration"
],
"calculations": [
"All",
"All"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 100,
"model_name": "trained",
"question": "What are the dates in which the mean sea level pressure was between 30.3 and 31?",
"ground_truth": {
"dimensions": [
"dates"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 1,
"model_name": "untrained",
"question": "What are the ids of the users who either registered or attended a course?",
"ground_truth": {
"dimensions": [
"ids of the users"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 2,
"model_name": "untrained",
"question": "Find the id of courses which are registered or attended by student whose id is 121?",
"ground_truth": {
"dimensions": [
"id of courses",
"student whose id is 121"
],
"measures": [],
"calculations": [],
"filters": [
"121"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 3,
"model_name": "untrained",
"question": "What are all the the ids of the courses that are registered or attended by the student whose id is 121?",
"ground_truth": {
"dimensions": [
"ids of the courses",
"student whose id is 121"
],
"measures": [],
"calculations": [],
"filters": [
"121"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 4,
"model_name": "untrained",
"question": "What are all info of users who registered courses but not attended courses?",
"ground_truth": {
"dimensions": [
"users",
"courses"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 5,
"model_name": "untrained",
"question": "What are all details of the users who registered but did not attend any course?",
"ground_truth": {
"dimensions": [
"all details of the users"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 6,
"model_name": "untrained",
"question": "List the id of users who registered course statistics in the order of registration date.",
"ground_truth": {
"dimensions": [
"id of users"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 7,
"model_name": "untrained",
"question": "What are the ids of the users who registered course statistics by order of registration date?",
"ground_truth": {
"dimensions": [
"ids of the users"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 8,
"model_name": "untrained",
"question": "List the id of users who attended statistics courses in the order of attendance date.",
"ground_truth": {
"dimensions": [
"id of users",
"attendance date"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 9,
"model_name": "untrained",
"question": "What are the ids of the users who attended courses in the statistics department in order of attendance date.",
"ground_truth": {
"dimensions": [
"ids of the users",
"statistics department",
"attendance date"
],
"measures": [],
"calculations": [],
"filters": [
"Statistics"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 10,
"model_name": "untrained",
"question": "Give me the dates when the max temperature was higher than 85.",
"ground_truth": {
"dimensions": [],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 11,
"model_name": "untrained",
"question": "What are the dates with a maximum temperature higher than 85?",
"ground_truth": {
"dimensions": [
"dates with a maximum temperature higher than 85"
],
"measures": [],
"calculations": [],
"filters": [
"maximum temperature higher than 85"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 12,
"model_name": "untrained",
"question": "What are the names of stations that have latitude lower than 37.5?",
"ground_truth": {
"dimensions": [
"names of stations"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 13,
"model_name": "untrained",
"question": "What are the names of all stations with a latitude smaller than 37.5?",
"ground_truth": {
"dimensions": [
"names of all stations"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 14,
"model_name": "untrained",
"question": "For each city, return the highest latitude among its stations.",
"ground_truth": {
"dimensions": [
"each city"
],
"measures": [
"highest latitude"
],
"calculations": [
"Maximum"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 15,
"model_name": "untrained",
"question": "For each city, what is the highest latitude for its stations?",
"ground_truth": {
"dimensions": [
"each city"
],
"measures": [
"highest latitude"
],
"calculations": [
"Maximum"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 16,
"model_name": "untrained",
"question": "Give me the start station and end station for the trips with the three oldest id.",
"ground_truth": {
"dimensions": [
"start station",
"end station"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 17,
"model_name": "untrained",
"question": "What is the station station and end station for the trips with the three smallest ids?",
"ground_truth": {
"dimensions": [
"station station",
"end station"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 18,
"model_name": "untrained",
"question": "What is the average latitude and longitude of stations located in San Jose city?",
"ground_truth": {
"dimensions": [
"stations",
"San Jose city"
],
"measures": [
"average latitude",
"average longitude"
],
"calculations": [
"Average",
"Average"
],
"filters": [
"San Jose"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 19,
"model_name": "untrained",
"question": "What is the average latitude and longitude in San Jose?",
"ground_truth": {
"dimensions": [
"San Jose"
],
"measures": [
"average latitude",
"average longitude"
],
"calculations": [
"Average",
"Average"
],
"filters": [
"San Jose"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 20,
"model_name": "untrained",
"question": "What is the id of the trip that has the shortest duration?",
"ground_truth": {
"dimensions": [],
"measures": [
"id"
],
"calculations": [
"None"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 21,
"model_name": "untrained",
"question": "What is the id of the shortest trip?",
"ground_truth": {
"dimensions": [
"id of the shortest trip"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 22,
"model_name": "untrained",
"question": "What is the total and maximum duration of trips with bike id 636?",
"ground_truth": {
"dimensions": [
"bike id 636"
],
"measures": [
"total duration",
"maximum duration"
],
"calculations": [
"Total",
"Maximum"
],
"filters": [
"636"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 23,
"model_name": "untrained",
"question": "What is the total and maximum duration for all trips with the bike id 636?",
"ground_truth": {
"dimensions": [
"bike id 636"
],
"measures": [
"total duration",
"maximum duration"
],
"calculations": [
"Total",
"Maximum"
],
"filters": [
"636"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 24,
"model_name": "untrained",
"question": "For each zip code, return the average mean temperature of August there.",
"ground_truth": {
"dimensions": [
"zip code"
],
"measures": [
"average mean temperature"
],
"calculations": [
"Average"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 25,
"model_name": "untrained",
"question": "For each zip code, what is the average mean temperature for all dates that start with '8'?",
"ground_truth": {
"dimensions": [
"zip code"
],
"measures": [
"average mean temperature"
],
"calculations": [
"Average"
],
"filters": [],
"time_references": [
"dates that start with '8'"
]
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 26,
"model_name": "untrained",
"question": "From the trip record, find the number of unique bikes.",
"ground_truth": {
"dimensions": [
"bikes"
],
"measures": [
"number of unique bikes"
],
"calculations": [
"Count Distinct"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 27,
"model_name": "untrained",
"question": "How many different bike ids are there?",
"ground_truth": {
"dimensions": [
"bike ids"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 28,
"model_name": "untrained",
"question": "What is the number of distinct cities the stations are located at?",
"ground_truth": {
"dimensions": [
"cities"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 29,
"model_name": "untrained",
"question": "How many different cities have these stations?",
"ground_truth": {
"dimensions": [
"cities"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 30,
"model_name": "untrained",
"question": "How many stations does Mountain View city has?",
"ground_truth": {
"dimensions": [
"Mountain View city"
],
"measures": [
"how many stations"
],
"calculations": [
"Count"
],
"filters": [
"Mountain View"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 31,
"model_name": "untrained",
"question": "How many stations are in Mountain View?",
"ground_truth": {
"dimensions": [
"stations",
"Mountain View"
],
"measures": [
"how many"
],
"calculations": [
"Count"
],
"filters": [
"Mountain View"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 32,
"model_name": "untrained",
"question": "Return the unique name for stations that have ever had 7 bikes available.",
"ground_truth": {
"dimensions": [
"station"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 33,
"model_name": "untrained",
"question": "What are the different names for each station that has ever had 7 bikes available?",
"ground_truth": {
"dimensions": [
"names for each station"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 34,
"model_name": "untrained",
"question": "Which start station had the most trips starting from August? Give me the name and id of the station.",
"ground_truth": {
"dimensions": [
"name",
"id"
],
"measures": [
"most trips"
],
"calculations": [
"Count"
],
"filters": [],
"time_references": [
"August"
]
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 35,
"model_name": "untrained",
"question": "What are the start station's name and id for the one that had the most start trips in August?",
"ground_truth": {
"dimensions": [],
"measures": [
"start station's name",
"id"
],
"calculations": [],
"filters": [],
"time_references": [
"August"
]
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 36,
"model_name": "untrained",
"question": "Which bike traveled the most often in zip code 94002?",
"ground_truth": {
"dimensions": [
"bike",
"zip code 94002"
],
"measures": [],
"calculations": [],
"filters": [
"94002"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 37,
"model_name": "untrained",
"question": "What is the id of the bike that traveled the most in 94002?",
"ground_truth": {
"dimensions": [
"id of the bike"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": [
"in 94002"
]
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 38,
"model_name": "untrained",
"question": "How many days had both mean humidity above 50 and mean visibility above 8?",
"ground_truth": {
"dimensions": [],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 39,
"model_name": "untrained",
"question": "What is the number of days that had an average humity above 50 and an average visibility above 8?",
"ground_truth": {
"dimensions": [],
"measures": [
"number of days"
],
"calculations": [
"Count"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 40,
"model_name": "untrained",
"question": "What is the latitude, longitude, city of the station from which the shortest trip started?",
"ground_truth": {
"dimensions": [
"latitude",
"longitude",
"city"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 41,
"model_name": "untrained",
"question": "What is the latitude, longitude, and city of the station from which the trip with smallest duration started?",
"ground_truth": {
"dimensions": [
"latitude",
"longitude",
"city"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 42,
"model_name": "untrained",
"question": "What are the ids of stations that are located in San Francisco and have average bike availability above 10.",
"ground_truth": {
"dimensions": [
"ids of stations",
"located in San Francisco"
],
"measures": [],
"calculations": [],
"filters": [
"San Francisco"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 43,
"model_name": "untrained",
"question": "What are the ids of the stations in San Francisco that normally have more than 10 bikes available?",
"ground_truth": {
"dimensions": [
"ids of the stations",
"stations in San Francisco"
],
"measures": [],
"calculations": [],
"filters": [
"San Francisco"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 44,
"model_name": "untrained",
"question": "What are the names and ids of stations that had more than 14 bikes available on average or were installed in December?",
"ground_truth": {
"dimensions": [
"names of stations",
"ids of stations"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 45,
"model_name": "untrained",
"question": "What are the names and ids of all stations that have more than 14 bikes available on average or had bikes installed in December?",
"ground_truth": {
"dimensions": [
"names",
"ids"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 46,
"model_name": "untrained",
"question": "What is the 3 most common cloud cover rates in the region of zip code 94107?",
"ground_truth": {
"dimensions": [
"region of zip code 94107"
],
"measures": [
"most common cloud cover rates"
],
"calculations": [
"most common"
],
"filters": [
"zip code 94107"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 47,
"model_name": "untrained",
"question": "What are all the the 3 most common cloud covers in the zip code of 94107?",
"ground_truth": {
"dimensions": [
"cloud covers",
"zip code of 94107"
],
"measures": [],
"calculations": [],
"filters": [
"94107"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 48,
"model_name": "untrained",
"question": "What is the zip code in which the average mean sea level pressure is the lowest?",
"ground_truth": {
"dimensions": [
"zip code"
],
"measures": [
"average mean sea level pressure"
],
"calculations": [
"Average"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 49,
"model_name": "untrained",
"question": "What is the zip code that has the lowest average mean sea level pressure?",
"ground_truth": {
"dimensions": [
"zip code"
],
"measures": [
"lowest average mean sea level pressure"
],
"calculations": [
"Lowest"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 50,
"model_name": "untrained",
"question": "What is the average bike availability in stations that are not located in Palo Alto?",
"ground_truth": {
"dimensions": [
"stations"
],
"measures": [
"average bike availability"
],
"calculations": [
"Average"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 51,
"model_name": "untrained",
"question": "What is the average bike availablility for stations not in Palo Alto?",
"ground_truth": {
"dimensions": [
"stations not in Palo Alto"
],
"measures": [
"average bike availablility"
],
"calculations": [
"Average"
],
"filters": [
"not in Palo Alto"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 52,
"model_name": "untrained",
"question": "What is the average longitude of stations that never had bike availability more than 10?",
"ground_truth": {
"dimensions": [
"stations"
],
"measures": [
"average longitude"
],
"calculations": [
"Average"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 53,
"model_name": "untrained",
"question": "What is the mean longitude for all stations that have never had more than 10 bikes available?",
"ground_truth": {
"dimensions": [
"stations"
],
"measures": [
"mean longitude"
],
"calculations": [
"Mean"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 54,
"model_name": "untrained",
"question": "When and in what zip code did max temperature reach 80?",
"ground_truth": {
"dimensions": [
"zip code",
"When"
],
"measures": [
"max temperature"
],
"calculations": [
"Maximum"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 55,
"model_name": "untrained",
"question": "What zip codes have a station with a max temperature greater than or equal to 80 and when did it reach that temperature?",
"ground_truth": {
"dimensions": [
"zip codes",
"station"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 56,
"model_name": "untrained",
"question": "Give me ids for all the trip that took place in a zip code area with average mean temperature above 60.",
"ground_truth": {
"dimensions": [
"ids for all the trip",
"zip code area"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 57,
"model_name": "untrained",
"question": "For each zip code, find the ids of all trips that have a higher average mean temperature above 60?",
"ground_truth": {
"dimensions": [
"each zip code"
],
"measures": [
"ids of all trips"
],
"calculations": [
"All"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 58,
"model_name": "untrained",
"question": "For each zip code, return how many times max wind speed reached 25?",
"ground_truth": {
"dimensions": [
"zip code"
],
"measures": [
"max wind speed"
],
"calculations": [
"Maximum"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 59,
"model_name": "untrained",
"question": "For each zip code, how many times has the maximum wind speed reached 25 mph?",
"ground_truth": {
"dimensions": [
"zip code"
],
"measures": [
"maximum wind speed"
],
"calculations": [
"Maximum"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 60,
"model_name": "untrained",
"question": "On which day and in which zip code was the min dew point lower than any day in zip code 94107?",
"ground_truth": {
"dimensions": [
"day",
"zip code 94107"
],
"measures": [
"min dew point"
],
"calculations": [
"Minimum"
],
"filters": [
"94107"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 61,
"model_name": "untrained",
"question": "Which days had a minimum dew point smaller than any day in zip code 94107, and in which zip codes were those measurements taken?",
"ground_truth": {
"dimensions": [
"Which days",
"zip code 94107"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 62,
"model_name": "untrained",
"question": "For each trip, return its ending station's installation date.",
"ground_truth": {
"dimensions": [
"ending station's installation date"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 63,
"model_name": "untrained",
"question": "What is the installation date for each ending station on all the trips?",
"ground_truth": {
"dimensions": [
"ending station",
"trips"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 64,
"model_name": "untrained",
"question": "Which trip started from the station with the largest dock total? Give me the trip id.",
"ground_truth": {
"dimensions": [
"trip id"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 65,
"model_name": "untrained",
"question": "What is the id of the trip that started from the station with the highest dock total?",
"ground_truth": {
"dimensions": [
"id of the trip"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 66,
"model_name": "untrained",
"question": "total the number of trips that did not end in San Francisco city.",
"ground_truth": {
"dimensions": [
"end in San Francisco city"
],
"measures": [
"total the number of trips"
],
"calculations": [
"Count"
],
"filters": [
"San Francisco"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 67,
"model_name": "untrained",
"question": "How many trips did not end in San Francisco?",
"ground_truth": {
"dimensions": [
"in San Francisco"
],
"measures": [
"how many trips"
],
"calculations": [
"Count"
],
"filters": [
"San Francisco"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 68,
"model_name": "untrained",
"question": "In zip code 94107, on which day neither Fog nor Rain was not observed?",
"ground_truth": {
"dimensions": [
"zip code 94107"
],
"measures": [],
"calculations": [],
"filters": [
"94107"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 69,
"model_name": "untrained",
"question": "On which day has it neither been foggy nor rained in the zip code of 94107?",
"ground_truth": {
"dimensions": [],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 70,
"model_name": "untrained",
"question": "What are the ids of stations that have latitude above 37.4 and never had bike availability below 7?",
"ground_truth": {
"dimensions": [
"ids of stations"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 71,
"model_name": "untrained",
"question": "What are the ids of all stations that have a latitude above 37.4 and have never had less than 7 bikes available?",
"ground_truth": {
"dimensions": [
"ids of all stations"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 72,
"model_name": "untrained",
"question": "What are names of stations that have average bike availability above 10 and are not located in San Jose city?",
"ground_truth": {
"dimensions": [
"names of stations"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 73,
"model_name": "untrained",
"question": "What are the names of all stations that have more than 10 bikes available and are not located in San Jose?",
"ground_truth": {
"dimensions": [
"names of all stations"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 74,
"model_name": "untrained",
"question": "What are the name, latitude, and city of the station with the lowest latitude?",
"ground_truth": {
"dimensions": [
"name",
"latitude",
"city"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 75,
"model_name": "untrained",
"question": "What is the name, latitude, and city of the station that is located the furthest South?",
"ground_truth": {
"dimensions": [
"name",
"latitude",
"city"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 76,
"model_name": "untrained",
"question": "What are the date, mean temperature and mean humidity for the top 3 days with the largest max gust speeds?",
"ground_truth": {
"dimensions": [],
"measures": [
"date",
"mean temperature",
"mean humidity"
],
"calculations": [
"Average",
"Average"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 77,
"model_name": "untrained",
"question": "What is the date, average temperature and mean humidity for the days with the 3 largest maximum gust speeds?",
"ground_truth": {
"dimensions": [],
"measures": [
"date",
"average temperature",
"mean humidity"
],
"calculations": [
"None",
"Average",
"Mean"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 78,
"model_name": "untrained",
"question": "List the name and the number of stations for all the cities that have at least 15 stations.",
"ground_truth": {
"dimensions": [
"cities that have at least 15 stations"
],
"measures": [
"name",
"number of stations"
],
"calculations": [
"Count"
],
"filters": [
"stations >= 15"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 79,
"model_name": "untrained",
"question": "What is the name of every city that has at least 15 stations and how many stations does it have?",
"ground_truth": {
"dimensions": [
"city"
],
"measures": [
"how many stations"
],
"calculations": [
"Count"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 80,
"model_name": "untrained",
"question": "Find the ids and names of stations from which at least 200 trips started.",
"ground_truth": {
"dimensions": [
"stations from which at least 200 trips started"
],
"measures": [
"ids",
"names"
],
"calculations": [
"Identify",
"Identify"
],
"filters": [
"from which at least 200 trips started"
],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 81,
"model_name": "untrained",
"question": "What are the ids and names of all start stations that were the beginning of at least 200 trips?",
"ground_truth": {
"dimensions": [
"ids",
"names"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 82,
"model_name": "untrained",
"question": "Find the zip code in which the average mean visibility is lower than 10.",
"ground_truth": {
"dimensions": [
"zip code"
],
"measures": [
"average mean visibility"
],
"calculations": [
"Average"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 83,
"model_name": "untrained",
"question": "For each zip code, select all those that have an average mean visiblity below 10.",
"ground_truth": {
"dimensions": [
"zip code"
],
"measures": [
"average mean visiblity"
],
"calculations": [
"Average"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 84,
"model_name": "untrained",
"question": "List all the cities in a decreasing order of each city's stations' highest latitude.",
"ground_truth": {
"dimensions": [
"cities"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 85,
"model_name": "untrained",
"question": "For each city, list their names in decreasing order by their highest station latitude.",
"ground_truth": {
"dimensions": [
"city"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 86,
"model_name": "untrained",
"question": "What are the dates that had the top 5 cloud cover rates? Also tell me the cloud cover rate.",
"ground_truth": {
"dimensions": [
"dates"
],
"measures": [
"top 5 cloud cover rates"
],
"calculations": [
"Top 5"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 87,
"model_name": "untrained",
"question": "What are the dates that have the 5 highest cloud cover rates and what are the rates?",
"ground_truth": {
"dimensions": [
"dates"
],
"measures": [
"5 highest cloud cover rates"
],
"calculations": [
"Top 5"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 88,
"model_name": "untrained",
"question": "What are the ids and durations of the trips with the top 3 durations?",
"ground_truth": {
"dimensions": [],
"measures": [
"ids",
"durations"
],
"calculations": [
"List",
"Max"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 89,
"model_name": "untrained",
"question": "What are all the the ids of the trips that lasted the longest and how long did they last?",
"ground_truth": {
"dimensions": [],
"measures": [
"ids of the trips",
"lasted the longest",
"how long did they last"
],
"calculations": [
"All",
"Maximum",
"Total or average"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 90,
"model_name": "untrained",
"question": "For each station, return its longitude and the average duration of trips that started from the station.",
"ground_truth": {
"dimensions": [
"each station"
],
"measures": [
"average duration of trips"
],
"calculations": [
"Average"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 91,
"model_name": "untrained",
"question": "For each start station id, what is its name, longitude and average duration of trips started there?",
"ground_truth": {
"dimensions": [
"start station id",
"name",
"longitude"
],
"measures": [
"average duration of trips started there"
],
"calculations": [
"Average"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 92,
"model_name": "untrained",
"question": "For each station, find its latitude and the minimum duration of trips that ended at the station.",
"ground_truth": {
"dimensions": [
"each station"
],
"measures": [
"minimum duration"
],
"calculations": [
"Minimum"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 93,
"model_name": "untrained",
"question": "For each end station id, what is its name, latitude, and minimum duration for trips ended there?",
"ground_truth": {
"dimensions": [
"end station id"
],
"measures": [
"name",
"latitude",
"minimum duration"
],
"calculations": [
"None",
"None",
"Minimum"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 94,
"model_name": "untrained",
"question": "List all the distinct stations from which a trip of duration below 100 started.",
"ground_truth": {
"dimensions": [
"stations"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 95,
"model_name": "untrained",
"question": "What are all the different start station names for a trip that lasted less than 100?",
"ground_truth": {
"dimensions": [
"start station names"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": [
"less than 100"
]
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 96,
"model_name": "untrained",
"question": "Find all the zip codes in which the max dew point have never reached 70.",
"ground_truth": {
"dimensions": [
"zip codes"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 97,
"model_name": "untrained",
"question": "What are all the different zip codes that have a maximum dew point that was always below 70?",
"ground_truth": {
"dimensions": [
"zip codes"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 98,
"model_name": "untrained",
"question": "Find the id for the trips that lasted at least as long as the average duration of trips in zip code 94103.",
"ground_truth": {
"dimensions": [],
"measures": [
"id",
"duration"
],
"calculations": [
"None",
"None"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 99,
"model_name": "untrained",
"question": "What are the ids of all trips that had a duration as long as the average trip duration in the zip code 94103?",
"ground_truth": {
"dimensions": [],
"measures": [
"ids of all trips",
"trip duration"
],
"calculations": [
"All",
"All"
],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
},
{
"example_id": 100,
"model_name": "untrained",
"question": "What are the dates in which the mean sea level pressure was between 30.3 and 31?",
"ground_truth": {
"dimensions": [
"dates"
],
"measures": [],
"calculations": [],
"filters": [],
"time_references": []
},
"model_response": "ERROR: '\\n \"dimensions\"'",
"inference_time": 0,
"dimensions_accuracy": 0,
"measures_accuracy": 0,
"calculations_accuracy": 0,
"filters_accuracy": 0,
"time_references_accuracy": 0,
"overall_accuracy": 0
}
] |
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