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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type
struct<id: string, question: list<item: list<item: struct<role: string, content: string>>>, initial_config: struct<TradingBot: struct<orders: struct<12345: struct<symbol: string, price: double, num_shares: int64, status: string>, order_type: string>, account_info: struct<account_id: int64, balance: double, binding_card: int64>, authenticated: bool, market_status: string, order_counter: int64, stocks: struct<AAPL: struct<price: double, percent_change: double, volume: double, MA(5): double, MA(20): double>, GOOG: struct<price: double, percent_change: double, volume: double, MA(5): double, MA(20): double>, TSLA: struct<price: double, percent_change: double, volume: double, MA(5): double, MA(20): double>, MSFT: struct<price: double, percent_change: double, volume: double, MA(5): double, MA(20): double>, NVDA: struct<price: double, percent_change: double, volume: double, MA(5): double, MA(20): double>, ALPH: struct<price: double, percent_change: double, volume: double, MA(5): double, MA(20): double>, OMEG: struct<price: double, percent_change: double, volume: double, MA(5): double, MA(20): double>, QUAS: struct<price: double, percent_change: double, volume: double, MA(5): double, MA(20): double>, NEPT: struct<price: double, percent_change: double, volume: double, MA(5): double, MA(20): double>, SYNX: struct<price: double, percent_change: double, volume: double, MA(5): double, MA(20): double>, ZETA: struct<price: double, percent_change: double, volume: double, MA(5): double, MA(20)
...
eport: struct<type: string, content: string>>>>>, current_working_directory: struct<type: string, contents: struct<>>, shared_workspace: struct<type: string, contents: struct<ResearchDocs: struct<type: string, contents: struct<draft_notes.txt: struct<type: string, content: string>, summary_draft.docx: struct<type: string, content: string>, final_report.pdf: struct<type: string, content: string>>>>>, dylan: struct<type: string, contents: struct<Drafts: struct<type: string, contents: struct<DylanProject.txt: struct<type: string, content: string>>>, ArchivedProjects: struct<type: string, contents: struct<>>>>, Lectures: struct<type: string, contents: struct<>>, project_directory: struct<type: string, contents: struct<student_record.txt: struct<type: string, content: string>>>>>, VehicleControlAPI: struct<fuelLevel: double, batteryVoltage: double, engineState: string, doorStatus: struct<driver: string, passenger: string, rear_left: string, rear_right: string>, acTemperature: double, fanSpeed: int64, acMode: string, humidityLevel: double, headLightStatus: string, parkingBrakeStatus: string, parkingBrakeForce: double, slopeAngle: double, distanceToNextVehicle: double, cruiseStatus: string, destination: string, frontLeftTirePressure: double, frontRightTirePressure: double, rearLeftTirePressure: double, rearRightTirePressure: double, remainingUnlockedDoors: int64>>, path: list<item: string>, involved_classes: list<item: string>, category: string, ground_truth: string, function: null>
to
{'id': Value('string'), 'question': List(List({'role': Value('string'), 'content': Value('string')})), 'function': List({'name': Value('string'), 'description': Value('string'), 'parameters': Json(decode=True)}), 'category': Value('string'), 'ground_truth': Json(decode=True)}
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2255, in cast_table_to_schema
cast_array_to_feature(
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1804, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2101, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<id: string, question: list<item: list<item: struct<role: string, content: string>>>, initial_config: struct<TradingBot: struct<orders: struct<12345: struct<symbol: string, price: double, num_shares: int64, status: string>, order_type: string>, account_info: struct<account_id: int64, balance: double, binding_card: int64>, authenticated: bool, market_status: string, order_counter: int64, stocks: struct<AAPL: struct<price: double, percent_change: double, volume: double, MA(5): double, MA(20): double>, GOOG: struct<price: double, percent_change: double, volume: double, MA(5): double, MA(20): double>, TSLA: struct<price: double, percent_change: double, volume: double, MA(5): double, MA(20): double>, MSFT: struct<price: double, percent_change: double, volume: double, MA(5): double, MA(20): double>, NVDA: struct<price: double, percent_change: double, volume: double, MA(5): double, MA(20): double>, ALPH: struct<price: double, percent_change: double, volume: double, MA(5): double, MA(20): double>, OMEG: struct<price: double, percent_change: double, volume: double, MA(5): double, MA(20): double>, QUAS: struct<price: double, percent_change: double, volume: double, MA(5): double, MA(20): double>, NEPT: struct<price: double, percent_change: double, volume: double, MA(5): double, MA(20): double>, SYNX: struct<price: double, percent_change: double, volume: double, MA(5): double, MA(20): double>, ZETA: struct<price: double, percent_change: double, volume: double, MA(5): double, MA(20)
...
eport: struct<type: string, content: string>>>>>, current_working_directory: struct<type: string, contents: struct<>>, shared_workspace: struct<type: string, contents: struct<ResearchDocs: struct<type: string, contents: struct<draft_notes.txt: struct<type: string, content: string>, summary_draft.docx: struct<type: string, content: string>, final_report.pdf: struct<type: string, content: string>>>>>, dylan: struct<type: string, contents: struct<Drafts: struct<type: string, contents: struct<DylanProject.txt: struct<type: string, content: string>>>, ArchivedProjects: struct<type: string, contents: struct<>>>>, Lectures: struct<type: string, contents: struct<>>, project_directory: struct<type: string, contents: struct<student_record.txt: struct<type: string, content: string>>>>>, VehicleControlAPI: struct<fuelLevel: double, batteryVoltage: double, engineState: string, doorStatus: struct<driver: string, passenger: string, rear_left: string, rear_right: string>, acTemperature: double, fanSpeed: int64, acMode: string, humidityLevel: double, headLightStatus: string, parkingBrakeStatus: string, parkingBrakeForce: double, slopeAngle: double, distanceToNextVehicle: double, cruiseStatus: string, destination: string, frontLeftTirePressure: double, frontRightTirePressure: double, rearLeftTirePressure: double, rearRightTirePressure: double, remainingUnlockedDoors: int64>>, path: list<item: string>, involved_classes: list<item: string>, category: string, ground_truth: string, function: null>
to
{'id': Value('string'), 'question': List(List({'role': Value('string'), 'content': Value('string')})), 'function': List({'name': Value('string'), 'description': Value('string'), 'parameters': Json(decode=True)}), 'category': Value('string'), 'ground_truth': Json(decode=True)}
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1348, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
index int64 | model string | model_output dict | messages list | metadata dict |
|---|---|---|---|---|
1 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
"id": null,
"model": "vela/ibm-granite/granite-4.0-8b-preview-r260310a",
"choices": [
{
"message": {
"id": "7c4bdc21",
"content": "[]",
"source": "generate",
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.6273319721,
... | [
{
"id": "4f664309",
"content": "Solve the quadratic equation with coefficients a = 1, b = 2, and c = 3.",
"source": null,
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.6273319721,
"ttft": null,
"input_tokens": 302,
"output_tokens": 3,
"tpot"... | {
"id": "irrelevance_1",
"question": [
[
{
"role": "user",
"content": "Solve the quadratic equation with coefficients a = 1, b = 2, and c = 3."
}
]
],
"function": [
{
"name": "math.sum",
"description": "Compute the sum of all numbers in a list.",
"parame... |
2 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
"id": null,
"model": "vela/ibm-granite/granite-4.0-8b-preview-r260310a",
"choices": [
{
"message": {
"id": "dea38ec2",
"content": "[]",
"source": "generate",
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.6407985687,
... | [
{
"id": "b5323523",
"content": "Solve for the roots of the equation 3x^2 - 2x - 5.",
"source": null,
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.6407985687000001,
"ttft": null,
"input_tokens": 323,
"output_tokens": 3,
"tpot": null
},
... | {
"id": "irrelevance_2",
"question": [
[
{
"role": "user",
"content": "Solve for the roots of the equation 3x^2 - 2x - 5."
}
]
],
"function": [
{
"name": "distance_calculator.calculate",
"description": "Calculate the distance between two geographical coordinat... |
3 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
"id": null,
"model": "vela/ibm-granite/granite-4.0-8b-preview-r260310a",
"choices": [
{
"message": {
"id": "1154c401",
"content": "[]",
"source": "generate",
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.6397247314,
... | [
{
"id": "cee552eb",
"content": "What is the slope of the line which is perpendicular to the line with the equation y = 3x + 2?",
"source": null,
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.6397247314,
"ttft": null,
"input_tokens": 344,
"output_t... | {
"id": "irrelevance_3",
"question": [
[
{
"role": "user",
"content": "What is the slope of the line which is perpendicular to the line with the equation y = 3x + 2?"
}
]
],
"function": [
{
"name": "find_critical_points",
"description": "Finds the critical poi... |
0 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
"id": null,
"model": "vela/ibm-granite/granite-4.0-8b-preview-r260310a",
"choices": [
{
"message": {
"id": "d5020283",
"content": "[]",
"source": "generate",
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.6423172951,
... | [
{
"id": "666c4fe2",
"content": "Calculate the area of a triangle given the base is 10 meters and height is 5 meters.",
"source": null,
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.6423172951,
"ttft": null,
"input_tokens": 313,
"output_tokens": 3,... | {
"id": "irrelevance_0",
"question": [
[
{
"role": "user",
"content": "Calculate the area of a triangle given the base is 10 meters and height is 5 meters."
}
]
],
"function": [
{
"name": "determine_body_mass_index",
"description": "Calculate body mass index g... |
7 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
"id": null,
"model": "vela/ibm-granite/granite-4.0-8b-preview-r260310a",
"choices": [
{
"message": {
"id": "51870865",
"content": "[]",
"source": "generate",
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.1130051613,
... | [
{
"id": "5d51af1d",
"content": "What is the area under the curve of the function f(x) = 3x^2 from x = 1 to x = 5?",
"source": null,
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.1130051613,
"ttft": null,
"input_tokens": 320,
"output_tokens": 3,
... | {
"id": "irrelevance_7",
"question": [
[
{
"role": "user",
"content": "What is the area under the curve of the function f(x) = 3x^2 from x = 1 to x = 5?"
}
]
],
"function": [
{
"name": "draw_circle",
"description": "Draw a circle based on the radius provided."... |
4 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
"id": null,
"model": "vela/ibm-granite/granite-4.0-8b-preview-r260310a",
"choices": [
{
"message": {
"id": "8bac49cb",
"content": "[]",
"source": "generate",
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.4940276146,
... | [
{
"id": "cedcb92d",
"content": "What is the roots of linear equation bx + c = 0?",
"source": null,
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.4940276146,
"ttft": null,
"input_tokens": 345,
"output_tokens": 31,
"tpot": null
},
"rol... | {
"id": "irrelevance_4",
"question": [
[
{
"role": "user",
"content": "What is the roots of linear equation bx + c = 0?"
}
]
],
"function": [
{
"name": "find_roots",
"description": "Find the roots of a quadratic equation ax^2 + bx + c = 0.",
"parameters"... |
6 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
"id": null,
"model": "vela/ibm-granite/granite-4.0-8b-preview-r260310a",
"choices": [
{
"message": {
"id": "d3dc50ae",
"content": "[]",
"source": "generate",
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.1163313389,
... | [
{
"id": "c83b305e",
"content": "What's the area of a rectangle that has width of 5m and length of 7m?",
"source": null,
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.1163313389,
"ttft": null,
"input_tokens": 310,
"output_tokens": 3,
"tpot": ... | {
"id": "irrelevance_6",
"question": [
[
{
"role": "user",
"content": "What's the area of a rectangle that has width of 5m and length of 7m?"
}
]
],
"function": [
{
"name": "draw_circle",
"description": "Draw a circle based on the radius provided.",
"par... |
5 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
"id": null,
"model": "vela/ibm-granite/granite-4.0-8b-preview-r260310a",
"choices": [
{
"message": {
"id": "f1182495",
"content": "[]",
"source": "generate",
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.1196146011,
... | [
{
"id": "4132b8ac",
"content": "What is the perimeter of a rectangle with length 5 meters and width 4 meters?",
"source": null,
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.11961460110000001,
"ttft": null,
"input_tokens": 365,
"output_tokens": 3,... | {
"id": "irrelevance_5",
"question": [
[
{
"role": "user",
"content": "What is the perimeter of a rectangle with length 5 meters and width 4 meters?"
}
]
],
"function": [
{
"name": "solve_quadratic_equation",
"description": "Solves a quadratic equation and ret... |
11 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
"id": null,
"model": "vela/ibm-granite/granite-4.0-8b-preview-r260310a",
"choices": [
{
"message": {
"id": "355507f7",
"content": "[]",
"source": "generate",
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.1006810665,
... | [
{
"id": "d02ceec7",
"content": "What is the closest integer to 30?",
"source": null,
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.1006810665,
"ttft": null,
"input_tokens": 287,
"output_tokens": 3,
"tpot": null
},
"role": "user",
... | {
"id": "irrelevance_11",
"question": [
[
{
"role": "user",
"content": "What is the closest integer to 30?"
}
]
],
"function": [
{
"name": "get_closest_prime",
"description": "Retrieve the closest prime number that is lesser than a given number.",
"param... |
9 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
"id": null,
"model": "vela/ibm-granite/granite-4.0-8b-preview-r260310a",
"choices": [
{
"message": {
"id": "6034804e",
"content": "[]",
"source": "generate",
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.1065497398,
... | [
{
"id": "41a60c35",
"content": "Find the definite integral of f(x)=x^2 from x=1 to x=3.",
"source": null,
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.1065497398,
"ttft": null,
"input_tokens": 374,
"output_tokens": 3,
"tpot": null
},
... | {
"id": "irrelevance_9",
"question": [
[
{
"role": "user",
"content": "Find the definite integral of f(x)=x^2 from x=1 to x=3."
}
]
],
"function": [
{
"name": "CalculateTax",
"description": "Calculate the income tax based on the annual income, tax rate, and ot... |
8 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
"id": null,
"model": "vela/ibm-granite/granite-4.0-8b-preview-r260310a",
"choices": [
{
"message": {
"id": "feab5bee",
"content": "[]",
"source": "generate",
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.0931248665,
... | [
{
"id": "29ee9747",
"content": "Find the integral of x^3 from 1 to 5",
"source": null,
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.0931248665,
"ttft": null,
"input_tokens": 241,
"output_tokens": 3,
"tpot": null
},
"role": "user",
... | {
"id": "irrelevance_8",
"question": [
[
{
"role": "user",
"content": "Find the integral of x^3 from 1 to 5"
}
]
],
"function": [
{
"name": "str_to_int",
"description": "Converts string value to integer.",
"parameters": {
"type": "dict",
... |
10 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
"id": null,
"model": "vela/ibm-granite/granite-4.0-8b-preview-r260310a",
"choices": [
{
"message": {
"id": "c79629de",
"content": "[]",
"source": "generate",
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.1049222946,
... | [
{
"id": "caed9844",
"content": "Compute the derivative of the function '2x' within the at 1.",
"source": null,
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.10492229460000001,
"ttft": null,
"input_tokens": 340,
"output_tokens": 3,
"tpot": nu... | {
"id": "irrelevance_10",
"question": [
[
{
"role": "user",
"content": "Compute the derivative of the function '2x' within the at 1."
}
]
],
"function": [
{
"name": "calculus.compute_definite_integral",
"description": "Compute the definite integral of a functi... |
15 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
"id": null,
"model": "vela/ibm-granite/granite-4.0-8b-preview-r260310a",
"choices": [
{
"message": {
"id": "909584be",
"content": "[]",
"source": "generate",
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.1136615276,
... | [
{
"id": "6d3194a2",
"content": "What are the latest movie releases?",
"source": null,
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.1136615276,
"ttft": null,
"input_tokens": 363,
"output_tokens": 3,
"tpot": null
},
"role": "user",
... | {
"id": "irrelevance_15",
"question": [
[
{
"role": "user",
"content": "What are the latest movie releases?"
}
]
],
"function": [
{
"name": "calculate_velocity",
"description": "Calculate the final velocity of an object in motion given its initial velocity, ac... |
12 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
"id": null,
"model": "vela/ibm-granite/granite-4.0-8b-preview-r260310a",
"choices": [
{
"message": {
"id": "7a6dc1ab",
"content": "[]",
"source": "generate",
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.1047310829,
... | [
{
"id": "50a97595",
"content": "Find the fastest route from New York to Boston.",
"source": null,
"metadata": null,
"internal": null,
"perf_metrics": {
"latency": 0.10473108290000001,
"ttft": null,
"input_tokens": 328,
"output_tokens": 3,
"tpot": null
},
... | {
"id": "irrelevance_12",
"question": [
[
{
"role": "user",
"content": "Find the fastest route from New York to Boston."
}
]
],
"function": [
{
"name": "prime_numbers_in_range",
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14 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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19 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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16 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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17 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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21 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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{
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],
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"name": "calculate_wave_amplitude",
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20 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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18 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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{
"name": "calculate_vector_angle",
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22 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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"id": "7d10b6a0",
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[
{
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"content": "What is the magnetic field at a point located at distance 'r' from a wire carrying current 'I'?"
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],
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{
"name": "magnetic_field_intensity",
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25 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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{
"id": "8e3338ac",
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{
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26 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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"id": "6dff372c",
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{
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... | {
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"question": [
[
{
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],
"function": [
{
"name": "thermodynamics.calc_gas_pressure",
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24 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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23 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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{
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29 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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"id": "c0e1708a",
"content": "{\"get_cell_function\": \"{\\\"cell_part\... | {
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30 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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"name": "bloodcell_classification",
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27 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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28 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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33 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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"id": "245239f1",
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34 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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31 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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32 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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35 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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"id": "e5f05a88",
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59 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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60 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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58 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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61 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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63 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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64 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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65 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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67 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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],
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66 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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62 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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70 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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71 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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68 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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69 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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73 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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"id": "090c2f44",
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75 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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74 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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72 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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78 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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77 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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76 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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"name": "investment_trend_analysis",
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79 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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83 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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82 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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81 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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85 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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87 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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84 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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86 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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91 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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88 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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93 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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89 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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94 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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95 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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96 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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99 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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97 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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98 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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100 | vela/ibm-granite/granite-4.0-8b-preview-r260310a | {
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End of preview.
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