Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type struct<main_format: string, sub_format: null> to null
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1835, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2315, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2071, in cast_array_to_feature
_c(children[name] if name in array_fields else null_array, subfeature)
~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2155, in cast_array_to_feature
return array_cast(
array,
...<2 lines>...
allow_decimal_to_str=allow_decimal_to_str,
)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2016, in array_cast
raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
TypeError: Couldn't cast array of type struct<main_format: string, sub_format: null> to null
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 1379, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1887, 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.
source_group string | source string | domain string | language string | url string | id string | text string | text_preview string | input_sha256 string | text_sha256 string | run_sha256 string | line_number int64 | input_policy string | label_policy_version int64 | requested_model string | backend string | endpoint string | status string | training_eligible bool | label dict | candidate_label dict | topic dict | scores dict | score_expectations dict | api_choices dict | review_reasons list | format_slot_diagnostics dict | confidence dict | probability_margin dict | raw_probabilities dict | probabilities dict | probability_diagnostics dict | usage dict | cache dict | response_metadata dict | scored_at_utc string | scoring_key_slot string | dataset_uid string | dataset_revision string | dataset_config string | content_variant string | source_record_sha256 string | source_metadata dict | parsed_source_meta dict | gpt4o_tokens int64 | dataset_split string | probability_weighted_scores dict | score_applicability dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
cpp | openbmb/UltraData-Stack-v3-L2/cpp | github.com | cpp | https://github.com/pxrag/ohhi/blob/bf735a7190d458217bfc2aff103c6366f8f8fae0/Ohhi.CPP | cpp-0-3abe0e7465c618b82ce542da7aaa3240 | #include<process.h>
#include<graphics.h>
#include<fstream.h>
#include<stdlib.h>
#include<conio.h>
#include<stdio.h>
#include<dos.h>
union REGS in,out;
int callmouse()
{
in.x.ax=1;
int86(51,&in,&out);
return 1;
}
void mouseposi(int &xpos,int &ypos,int &click)
{
in.x.ax=3;
int86(51,&in,&out);
click=out.x.bx;
xp... | #include<process.h> #include<graphics.h> #include<fstream.h> #include<stdlib.h> #include<conio.h> #include<stdio.h> #include<dos.h> union REGS in,out; int callmouse() { in.x.ax=1; int86(51,&in,&out); return 1; } void mouseposi(int &xpos,int | 25e4fa9263da46f9cecf0171c9b8c70cd5239a16870fa54f27b88899e35ce9ba | 3abe0e7465c618b82ce542da7aaa32404824fdca9332846363a7a205d1e1faf4 | 0dbe3046118ab5f0eea428b55f67ac75d558dc1c7da585927c21fa1685f6e177 | 1 | text-and-optional-url-v1 | 12 | decision-models/baseten-mammoth-27b-latest | baseten | https://inference.baseten.co/v1/systemone | ok | true | {
"primary": {
"main_format": "Technical Writing",
"sub_format": null
},
"secondary": null,
"tertiary": null,
"content_structure": []
} | null | {
"primary": {
"main_topic": "Programming & Software Engineering",
"sub_topic": null
},
"secondary": null
} | {
"content_quality": 0,
"noise_severity": 0,
"missing_content_severity": 0,
"factual_density": 4,
"pretraining_utility": 0,
"math_density": 0,
"code_density": 4,
"reasoning_density": 0,
"education_level": 2,
"creative_writing_quality": null
} | {
"content_quality": -0.027571006792013603,
"noise_severity": 0.0649255228916317,
"missing_content_severity": 0.02367354868478364,
"factual_density": 3.114096278214313,
"pretraining_utility": 0.038715658795575196,
"math_density": 0.9172579911166675,
"code_density": 3.8784974455940326,
"reasoning_density... | {
"primary": "Technical Writing",
"secondary": "NONE",
"tertiary": "NONE",
"education_level": "2",
"creative_writing_quality": "not_applicable",
"primary_topic": "Programming & Software Engineering",
"secondary_topic": "NONE"
} | [] | {
"comparable": true,
"secondary_tertiary_identical": false,
"secondary_tertiary_max_abs_gap": 0.0023802100493389242,
"secondary_choice": "NONE",
"tertiary_choice": "NONE"
} | {
"primary": 0.9904592722130136,
"secondary": 0.9715116849957532,
"tertiary": 0.9722538730072455,
"structured_records": 0.0057703376434246325,
"procedural_steps": 0.06165486722358024,
"worked_solution": 0.011959317633533108,
"contextual_dialogue": 0.000009327792534254072,
"content_quality": 0.4284264484... | {
"primary": 0.9843233847637661,
"secondary": 0.9613803856171367,
"tertiary": 0.9606906351471634,
"education_level": 0.7136960561414437,
"creative_writing_quality": 0.9948967204132536,
"primary_topic": 0.8654707775241415,
"secondary_topic": 0.4316440913400539
} | {
"primary": {
"Academic Writing": 0.00005095028610792794,
"Content Listing": 0.00003174545967930365,
"Creative Writing": 0.0001904091956824049,
"Customer Support Page": 0.0000155218896860982,
"Q&A Forum": 0.000019811794646198897,
"Discussion Thread": 0.000014989459623391503,
"Comment Sect... | {
"primary": {
"Academic Writing": 0.00005095028610792794,
"Content Listing": 0.00003174545967930365,
"Creative Writing": 0.0001904091956824049,
"Customer Support Page": 0.0000155218896860982,
"Q&A Forum": 0.000019811794646198897,
"Discussion Thread": 0.000014989459623391503,
"Comment Sect... | {
"primary": {
"raw_sum": 1,
"mass_delta": 0,
"missing_mass": 0,
"excess_mass": 0,
"valid": true,
"normalized": false
},
"secondary": {
"raw_sum": 0.9999999999999999,
"mass_delta": -1.1102230246251565e-16,
"missing_mass": 1.1102230246251565e-16,
"excess_mass": 0,
"valid... | {
"input_tokens": 11415,
"output_tokens": 19
} | {
"status": "unreported",
"cached_tokens": null,
"cache_write_tokens": null,
"input_tokens": 11415,
"cached_share": null,
"cache_discount_reported": null,
"reported_cost_usd": null
} | {
"model": "decision-models/baseten-mammoth-27b-latest"
} | 2026-10-25T18:29:05.084192+00:00 | primary | 3f796687-34c4-4aba-9009-90b794c49a15 | 62077439f2c81c79b71c084d1057ee1d042369a3 | default | content | be514008bc01705c0758ab40223966dee0de8ebc27f5cbf05a20ebeff4dfa3fb | {
"uuid": "3f796687-34c4-4aba-9009-90b794c49a15",
"repo_name": "pxrag/ohhi",
"relative_path": "Ohhi.CPP",
"category": "ALGO",
"algo_rel_score": 0.9181943535804749,
"quality_score": 3.2390854358673096,
"source_meta": {
"github_metadata": {
"branch": "master",
"commit_count": 8,
"repo_... | {
"github_metadata": {
"branch": "master",
"commit_count": 8,
"repo_created_at": "2020-07-15T16:52:15.000Z",
"is_fork": false,
"is_org_owned": false,
"forked_from": null,
"stars": 0,
"forks": 0,
"issues": 0,
"pull_requests": 0
},
"file_meta": {
"content_id": "d4005f3883... | 2,450 | cpp | {
"content_quality": -0.027571006792013603,
"noise_severity": 0.06492552289163171,
"missing_content_severity": 0.02367354868478364,
"factual_density": 3.114096278214313,
"pretraining_utility": 0.038715658795575196,
"math_density": 0.9172579911166675,
"code_density": 3.8784974455940326,
"reasoning_densit... | {
"education_level": 0.9980936194884301,
"creative_writing_quality": 0.0037032764991599292
} |
cpp | openbmb/UltraData-Stack-v3-L2/cpp | github.com | cpp | https://github.com/Xperiaxtr/sweeper-des/blob/0e246f3a483c98d685215dc8cd87da561b186b0c/navigation/planning/include/double_circle_method.h | cpp-0-4fa336ce1ec8d293388d910e74439866 | #include <iostream>
#include <opencv2/opencv.hpp>
#include <vector>
#include "../../../common/log.h"
#include "road_edge_detect.h"
#include "sweeper_msgs/SensorFaultInformation.h"
#include "tracker/object.h"
#define PI 3.1415926
#define RAD_TO_DEGREE (180.0 / PI)
#define DEGREE_TO_RAD (PI / 180.0)
namespace sweeper ... | #include <iostream> #include <opencv2/opencv.hpp> #include <vector> #include "../../../common/log.h" #include "road_edge_detect.h" #include "sweeper_msgs/SensorFaultInformation.h" #include "tracker/object.h" #define PI 3.1415926 #define RAD | b5e01a4360d2e746c572da65e4ed478679ae18be3defc09f3ae86c3a99357fa1 | 4fa336ce1ec8d293388d910e74439866baccdc6831af16cf4527fd1878164333 | 0dbe3046118ab5f0eea428b55f67ac75d558dc1c7da585927c21fa1685f6e177 | 4 | text-and-optional-url-v1 | 12 | decision-models/baseten-mammoth-27b-latest | baseten | https://inference.baseten.co/v1/systemone | ok | true | {
"primary": {
"main_format": "Technical Writing",
"sub_format": null
},
"secondary": null,
"tertiary": null,
"content_structure": []
} | null | {
"primary": {
"main_topic": "Programming & Software Engineering",
"sub_topic": null
},
"secondary": null
} | {
"content_quality": 1,
"noise_severity": 0,
"missing_content_severity": 0,
"factual_density": 4,
"pretraining_utility": 0,
"math_density": 1,
"code_density": 4,
"reasoning_density": 0,
"education_level": 3,
"creative_writing_quality": null
} | {
"content_quality": 1.0200422863958665,
"noise_severity": 0.017873470973810524,
"missing_content_severity": 0.15962078949995476,
"factual_density": 3.5682379906456765,
"pretraining_utility": 0.2502875579938104,
"math_density": 1.288603560277008,
"code_density": 3.8615280895830737,
"reasoning_density": ... | {
"primary": "Technical Writing",
"secondary": "NONE",
"tertiary": "NONE",
"education_level": "3",
"creative_writing_quality": "not_applicable",
"primary_topic": "Programming & Software Engineering",
"secondary_topic": "NONE"
} | [] | {
"comparable": true,
"secondary_tertiary_identical": false,
"secondary_tertiary_max_abs_gap": 0.010380706813249208,
"secondary_choice": "NONE",
"tertiary_choice": "NONE"
} | {
"primary": 0.9983451961930984,
"secondary": 0.983114535856929,
"tertiary": 0.9939465777490151,
"structured_records": 0.02920034402487845,
"procedural_steps": 0.0005024255428259432,
"worked_solution": 0.0001660213718216755,
"contextual_dialogue": 0.00000745413579567921,
"content_quality": 0.56850950210... | {
"primary": 0.9977095430744976,
"secondary": 0.9762816542481365,
"tertiary": 0.9917413264762861,
"education_level": 0.03083931913812865,
"creative_writing_quality": 0.9993940194462981,
"primary_topic": 0.8759400059847735,
"secondary_topic": 0.11263528831565794
} | {
"primary": {
"Academic Writing": 0.000023726480163343446,
"Content Listing": 0.000016039257047259966,
"Creative Writing": 0.000008809867609168775,
"Customer Support Page": 0.000003968730176481825,
"Q&A Forum": 0.000006305297918849491,
"Discussion Thread": 0.000003878590046923153,
"Commen... | {
"primary": {
"Academic Writing": 0.000023726480163343446,
"Content Listing": 0.000016039257047259966,
"Creative Writing": 0.000008809867609168775,
"Customer Support Page": 0.000003968730176481825,
"Q&A Forum": 0.000006305297918849491,
"Discussion Thread": 0.000003878590046923153,
"Commen... | {
"primary": {
"raw_sum": 1,
"mass_delta": 0,
"missing_mass": 0,
"excess_mass": 0,
"valid": true,
"normalized": false
},
"secondary": {
"raw_sum": 1,
"mass_delta": 0,
"missing_mass": 0,
"excess_mass": 0,
"valid": true,
"normalized": false
},
"tertiary": {
"r... | {
"input_tokens": 9990,
"output_tokens": 19
} | {
"status": "unreported",
"cached_tokens": null,
"cache_write_tokens": null,
"input_tokens": 9990,
"cached_share": null,
"cache_discount_reported": null,
"reported_cost_usd": null
} | {
"model": "decision-models/baseten-mammoth-27b-latest"
} | 2026-10-25T18:29:06.614145+00:00 | assistant_1 | f7007bed-4506-4105-8078-bcb4ec482418 | 62077439f2c81c79b71c084d1057ee1d042369a3 | default | content | c31a80b376e95157198b0a457b3c739d91bca5bf64d33602f1170b69c96878ad | {
"uuid": "f7007bed-4506-4105-8078-bcb4ec482418",
"repo_name": "Xperiaxtr/sweeper-des",
"relative_path": "navigation/planning/include/double_circle_method.h",
"category": "ALGO",
"algo_rel_score": 0.9889076352119446,
"quality_score": 4.461674213409424,
"source_meta": {
"github_metadata": {
"bran... | {
"github_metadata": {
"branch": "master",
"commit_count": 1,
"repo_created_at": "2023-03-17T17:39:52.000Z",
"is_fork": false,
"is_org_owned": false,
"forked_from": null,
"stars": 0,
"forks": 0,
"issues": 0,
"pull_requests": 0
},
"file_meta": {
"content_id": "d48c52a432... | 1,325 | cpp | {
"content_quality": 1.0200422863958662,
"noise_severity": 0.017873470973810524,
"missing_content_severity": 0.15962078949995476,
"factual_density": 3.5682379906456765,
"pretraining_utility": 0.2502875579938104,
"math_density": 1.288603560277008,
"code_density": 3.8615280895830737,
"reasoning_density": ... | {
"education_level": 0.9983342416813341,
"creative_writing_quality": 0.0004390450675636041
} |
cpp | openbmb/UltraData-Stack-v3-L2/cpp | github.com | cpp | https://github.com/h4kyu/Advent-of-Code/blob/0fe50e663adcff60114b8f5885f790fcc9f900cf/2024/3/main.cpp | cpp-0-896b01818bed084d38b8fce0e5009945 | #include <iostream>
#include <fstream>
/* find all instances of 'mul('
* for each instance, check if valid:
* check if ')' exists within 8 characters inclusive
* yes -->
* check for comma: if exists, split starting from position after '(' on the left and before ')' on the right
* --> check if ... | #include <iostream> #include <fstream> /* find all instances of 'mul(' * for each instance, check if valid: * check if ')' exists within 8 characters inclusive * yes --> * check for comma: if exists, split starting from position after '(' o | 16ce17a9b3f2260a521581d7b48421833170dae48c441947df369b533ffe455a | 896b01818bed084d38b8fce0e500994587584d4d78236f6e9de11026678c0443 | 0dbe3046118ab5f0eea428b55f67ac75d558dc1c7da585927c21fa1685f6e177 | 3 | text-and-optional-url-v1 | 12 | decision-models/baseten-mammoth-27b-latest | baseten | https://inference.baseten.co/v1/systemone | ok | true | {
"primary": {
"main_format": "Technical Writing",
"sub_format": null
},
"secondary": null,
"tertiary": null,
"content_structure": []
} | null | {
"primary": {
"main_topic": "Programming & Software Engineering",
"sub_topic": null
},
"secondary": null
} | {
"content_quality": 1,
"noise_severity": 0,
"missing_content_severity": 0,
"factual_density": 3,
"pretraining_utility": 1,
"math_density": 1,
"code_density": 4,
"reasoning_density": 0,
"education_level": 2,
"creative_writing_quality": null
} | {
"content_quality": 0.6987864299004549,
"noise_severity": 0.08069441385984946,
"missing_content_severity": 0.006968757393441665,
"factual_density": 3.0116630641632183,
"pretraining_utility": 0.578860638329988,
"math_density": 1.6255840582442092,
"code_density": 3.6807940535531483,
"reasoning_density": ... | {
"primary": "Technical Writing",
"secondary": "NONE",
"tertiary": "NONE",
"education_level": "2",
"creative_writing_quality": "not_applicable",
"primary_topic": "Programming & Software Engineering",
"secondary_topic": "NONE"
} | [] | {
"comparable": true,
"secondary_tertiary_identical": false,
"secondary_tertiary_max_abs_gap": 0.014675367352462443,
"secondary_choice": "NONE",
"tertiary_choice": "NONE"
} | {
"primary": 0.9882585448752241,
"secondary": 0.954256433995221,
"tertiary": 0.9695698607977905,
"structured_records": 0.0001876213034235898,
"procedural_steps": 0.10307996310515402,
"worked_solution": 0.04415988791626728,
"contextual_dialogue": 0.00000963913768668819,
"content_quality": 0.4898516580277... | {
"primary": 0.9810150173249547,
"secondary": 0.9349903380941407,
"tertiary": 0.9555396966941432,
"education_level": 0.6828294543966889,
"creative_writing_quality": 0.9985957227254872,
"primary_topic": 0.9605610627477972,
"secondary_topic": 0.6991740346640949
} | {
"primary": {
"Academic Writing": 0.00005642892981996334,
"Content Listing": 0.000031158765173476354,
"Creative Writing": 0.000042476685302764614,
"Customer Support Page": 0.00001540637461430725,
"Q&A Forum": 0.000029849492846696378,
"Discussion Thread": 0.000016929356820769204,
"Comment ... | {
"primary": {
"Academic Writing": 0.00005642892981996334,
"Content Listing": 0.000031158765173476354,
"Creative Writing": 0.000042476685302764614,
"Customer Support Page": 0.00001540637461430725,
"Q&A Forum": 0.000029849492846696378,
"Discussion Thread": 0.000016929356820769204,
"Comment ... | {
"primary": {
"raw_sum": 1,
"mass_delta": 0,
"missing_mass": 0,
"excess_mass": 0,
"valid": true,
"normalized": false
},
"secondary": {
"raw_sum": 0.9999999999999999,
"mass_delta": -1.1102230246251565e-16,
"missing_mass": 1.1102230246251565e-16,
"excess_mass": 0,
"valid... | {
"input_tokens": 9825,
"output_tokens": 19
} | {
"status": "unreported",
"cached_tokens": null,
"cache_write_tokens": null,
"input_tokens": 9825,
"cached_share": null,
"cache_discount_reported": null,
"reported_cost_usd": null
} | {
"model": "decision-models/baseten-mammoth-27b-latest"
} | 2026-10-25T18:29:07.724215+00:00 | primary | efcc93c6-c2f9-42cf-906d-04140946313d | 62077439f2c81c79b71c084d1057ee1d042369a3 | default | content | 9d6ecd03663b4cb1db45336ff8d18d408ea1d9294f72782eda74b8d50384f65f | {
"uuid": "efcc93c6-c2f9-42cf-906d-04140946313d",
"repo_name": "h4kyu/Advent-of-Code",
"relative_path": "2024/3/main.cpp",
"category": "ALGO",
"algo_rel_score": 0.9983080625534058,
"quality_score": 4.9190826416015625,
"source_meta": {
"github_metadata": {
"branch": "main",
"commit_count": ... | {
"github_metadata": {
"branch": "main",
"commit_count": 42,
"repo_created_at": "2025-02-17T21:16:08.000Z",
"is_fork": false,
"is_org_owned": false,
"forked_from": null,
"stars": 0,
"forks": 0,
"issues": 0,
"pull_requests": 0
},
"file_meta": {
"content_id": "2ba48de52c4... | 1,216 | cpp | {
"content_quality": 0.6987864299004549,
"noise_severity": 0.08069441385984946,
"missing_content_severity": 0.0069687573934416654,
"factual_density": 3.0116630641632183,
"pretraining_utility": 0.578860638329988,
"math_density": 1.6255840582442092,
"code_density": 3.6807940535531483,
"reasoning_density":... | {
"education_level": 0.9986071856834753,
"creative_writing_quality": 0.0009397150021474358
} |
cpp | openbmb/UltraData-Stack-v3-L2/cpp | github.com | cpp | https://github.com/vincentvillani/RFIMStar/blob/af6ee13fe9379e888945ecfd99c28ec5c66b6b6d/Source/WorkerThread.cpp | cpp-0-6ecb4dfda6f3668ab38334dd8633a027 | /*
* WorkerThread.cpp
*
* Created on: 9 May 2016
* Author: vincentvillani
*/
#include "../Header/WorkerThread.h"
#include <math.h>
#include <string.h>
#include <algorithm>
#include "../Header/RFIMHelperFunctions.h"
#ifdef BUILD_WITH_MKL
#include <mkl.h>
#include <mkl_trans.h>
#endif
//Private worker f... | /* * WorkerThread.cpp * * Created on: 9 May 2016 * Author: vincentvillani */ #include "../Header/WorkerThread.h" #include <math.h> #include <string.h> #include <algorithm> #include "../Header/RFIMHelperFunctions.h" #ifdef BUILD_WITH_MKL #in | 4aec78d7b12982836417d5204ad8cc9c2285b5f65880da1186d6b8b15799da31 | 6ecb4dfda6f3668ab38334dd8633a027195673193639996aefa794f429d5c195 | 0dbe3046118ab5f0eea428b55f67ac75d558dc1c7da585927c21fa1685f6e177 | 2 | text-and-optional-url-v1 | 12 | decision-models/baseten-mammoth-27b-latest | baseten | https://inference.baseten.co/v1/systemone | ok | true | {
"primary": {
"main_format": "Technical Writing",
"sub_format": null
},
"secondary": null,
"tertiary": null,
"content_structure": []
} | null | {
"primary": {
"main_topic": "Programming & Software Engineering",
"sub_topic": null
},
"secondary": null
} | {
"content_quality": 1,
"noise_severity": 0,
"missing_content_severity": 0,
"factual_density": 3,
"pretraining_utility": 0,
"math_density": 4,
"code_density": 4,
"reasoning_density": 0,
"education_level": 3,
"creative_writing_quality": null
} | {
"content_quality": 0.5841822659845828,
"noise_severity": 0.33894471065920734,
"missing_content_severity": 0.14011462773237407,
"factual_density": 3.164765674202243,
"pretraining_utility": 0.43083918325016285,
"math_density": 2.7261522614822966,
"code_density": 3.7786884425561222,
"reasoning_density": ... | {
"primary": "Technical Writing",
"secondary": "NONE",
"tertiary": "NONE",
"education_level": "3",
"creative_writing_quality": "not_applicable",
"primary_topic": "Programming & Software Engineering",
"secondary_topic": "NONE"
} | [] | {
"comparable": true,
"secondary_tertiary_identical": false,
"secondary_tertiary_max_abs_gap": 0.0035226712564725322,
"secondary_choice": "NONE",
"tertiary_choice": "NONE"
} | {
"primary": 0.9970178320011359,
"secondary": 0.9811511560644013,
"tertiary": 0.9782392443172856,
"structured_records": 0.0008564170366372603,
"procedural_steps": 0.024271308908432862,
"worked_solution": 0.009921456279232077,
"contextual_dialogue": 0.000005526926769177412,
"content_quality": 0.442501313... | {
"primary": 0.9953719169461567,
"secondary": 0.9722198902233443,
"tertiary": 0.972673850094298,
"education_level": 0.2663089660424807,
"creative_writing_quality": 0.9990266455235889,
"primary_topic": 0.9334431354185129,
"secondary_topic": 0.4617413732927541
} | {
"primary": {
"Academic Writing": 0.000060584782199415226,
"Content Listing": 0.000026301561417999696,
"Creative Writing": 0.000023519256945347123,
"Customer Support Page": 0.000009551201129370178,
"Q&A Forum": 0.000015310827071143547,
"Discussion Thread": 0.000010108394277682582,
"Commen... | {
"primary": {
"Academic Writing": 0.00006058478219941524,
"Content Listing": 0.000026301561417999703,
"Creative Writing": 0.00002351925694534713,
"Customer Support Page": 0.00000955120112937018,
"Q&A Forum": 0.00001531082707114355,
"Discussion Thread": 0.000010108394277682584,
"Comment Se... | {
"primary": {
"raw_sum": 0.9999999999999998,
"mass_delta": -2.220446049250313e-16,
"missing_mass": 2.220446049250313e-16,
"excess_mass": 0,
"valid": true,
"normalized": false
},
"secondary": {
"raw_sum": 1,
"mass_delta": 0,
"missing_mass": 0,
"excess_mass": 0,
"valid":... | {
"input_tokens": 13283,
"output_tokens": 19
} | {
"status": "unreported",
"cached_tokens": null,
"cache_write_tokens": null,
"input_tokens": 13283,
"cached_share": null,
"cache_discount_reported": null,
"reported_cost_usd": null
} | {
"model": "decision-models/baseten-mammoth-27b-latest"
} | 2026-10-25T18:29:07.754044+00:00 | assistant_1 | f5d57e47-d0a5-40aa-b44b-704ef0d4e81f | 62077439f2c81c79b71c084d1057ee1d042369a3 | default | content | 6c36a35886328f4b19995d77d4b91abe3457e4358490c794c9de18b78244b19c | {
"uuid": "f5d57e47-d0a5-40aa-b44b-704ef0d4e81f",
"repo_name": "vincentvillani/RFIMStar",
"relative_path": "Source/WorkerThread.cpp",
"category": "TOOL",
"algo_rel_score": 0.9598955512046814,
"quality_score": 5.093673229217529,
"source_meta": {
"github_metadata": {
"branch": "master",
"com... | {
"github_metadata": {
"branch": "master",
"commit_count": 65,
"repo_created_at": "2016-05-06T03:18:02.000Z",
"is_fork": false,
"is_org_owned": false,
"forked_from": null,
"stars": 3,
"forks": 0,
"issues": 0,
"pull_requests": 0
},
"file_meta": {
"content_id": "122aab4d2... | 4,473 | cpp | {
"content_quality": 0.5841822659845828,
"noise_severity": 0.33894471065920734,
"missing_content_severity": 0.14011462773237407,
"factual_density": 3.164765674202243,
"pretraining_utility": 0.43083918325016285,
"math_density": 2.7261522614822966,
"code_density": 3.7786884425561222,
"reasoning_density": ... | {
"education_level": 0.9988086498063665,
"creative_writing_quality": 0.0006773299245278802
} |
cpp | openbmb/UltraData-Stack-v3-L2/cpp | github.com | cpp | https://github.com/KarinaKorsgaard/Fazer-Interactive-Wall-Installation/blob/4910f21abc73f8afb52f5d36991bdcea92e7c085/src/swarmParticle.cpp | cpp-0-f46faf98b7f9e8e0c324ce8818130a91 | "#include \"swarmParticle.h\"\n#include \"defines.h\"\n//-------------------------------------------(...TRUNCATED) | "#include \"swarmParticle.h\" #include \"defines.h\" //---------------------------------------------(...TRUNCATED) | ce1a5f531730c8e5697b09eb72330a346ddb5347f3130a76d626e91c1bf74e68 | f46faf98b7f9e8e0c324ce8818130a91f41e5d0159fa37b3fc3aedec53574b7d | 0dbe3046118ab5f0eea428b55f67ac75d558dc1c7da585927c21fa1685f6e177 | 6 | text-and-optional-url-v1 | 12 | decision-models/baseten-mammoth-27b-latest | baseten | https://inference.baseten.co/v1/systemone | ok | true | {"primary":{"main_format":"Technical Writing","sub_format":null},"secondary":null,"tertiary":null,"c(...TRUNCATED) | null | {
"primary": {
"main_topic": "Programming & Software Engineering",
"sub_topic": null
},
"secondary": null
} | {"content_quality":1,"noise_severity":0,"missing_content_severity":0,"factual_density":4,"pretrainin(...TRUNCATED) | {"content_quality":0.3777927205647005,"noise_severity":0.33715332326365405,"missing_content_severity(...TRUNCATED) | {"primary":"Technical Writing","secondary":"NONE","tertiary":"NONE","education_level":"2","creative_(...TRUNCATED) | [] | {"comparable":true,"secondary_tertiary_identical":false,"secondary_tertiary_max_abs_gap":0.006592374(...TRUNCATED) | {"primary":0.9964505699457983,"secondary":0.9887181843218854,"tertiary":0.9955971837453186,"structur(...TRUNCATED) | {"primary":0.9948345829195832,"secondary":0.9832827133995584,"tertiary":0.9942468050282824,"educatio(...TRUNCATED) | {"primary":{"Academic Writing":0.000041154636981700065,"Content Listing":0.000024752940044665576,"Cr(...TRUNCATED) | {"primary":{"Academic Writing":0.00004115463698170007,"Content Listing":0.00002475294004466558,"Crea(...TRUNCATED) | {"primary":{"raw_sum":0.9999999999999999,"mass_delta":-1.1102230246251565e-16,"missing_mass":1.11022(...TRUNCATED) | {
"input_tokens": 9724,
"output_tokens": 19
} | {"status":"unreported","cached_tokens":null,"cache_write_tokens":null,"input_tokens":9724,"cached_sh(...TRUNCATED) | {
"model": "decision-models/baseten-mammoth-27b-latest"
} | 2026-10-25T18:29:08.495390+00:00 | assistant_1 | edeea0ab-1bed-4d16-9c2a-e496ff3d788a | 62077439f2c81c79b71c084d1057ee1d042369a3 | default | content | d9a382cc36c90f03c8e9365e4b0655e8753e0b58fceb9f59223f56ea2dde53e6 | {"uuid":"edeea0ab-1bed-4d16-9c2a-e496ff3d788a","repo_name":"KarinaKorsgaard/Fazer-Interactive-Wall-I(...TRUNCATED) | {"github_metadata":{"branch":"master","commit_count":5,"repo_created_at":"2016-06-27T11:10:27.000Z",(...TRUNCATED) | 1,056 | cpp | {"content_quality":0.3777927205647005,"noise_severity":0.33715332326365405,"missing_content_severity(...TRUNCATED) | {
"education_level": 0.9981094435673057,
"creative_writing_quality": 0.0009229752595100576
} |
cpp | openbmb/UltraData-Stack-v3-L2/cpp | github.com | cpp | https://github.com/NCAR/lrose-core/blob/6acab89ee4651b39eff98280e48336fe244e920d/codebase/apps/radar/src/Lucid/old/contours.cc | cpp-0-a26ee4d3f0729c97117d9616e821ab03 | "// *=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=* \n// ** Copyright UCAR(...TRUNCATED) | "// *=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=* // ** Copyright UCAR ((...TRUNCATED) | 97886a2d8b75ba59fe2ebfdbd9097e0d4940daf2a85ea8b5281abf1138e6a8ce | a26ee4d3f0729c97117d9616e821ab032eb922f9a7221edf4726de7184726ee2 | 0dbe3046118ab5f0eea428b55f67ac75d558dc1c7da585927c21fa1685f6e177 | 5 | text-and-optional-url-v1 | 12 | decision-models/baseten-mammoth-27b-latest | baseten | https://inference.baseten.co/v1/systemone | ok | true | {"primary":{"main_format":"Technical Writing","sub_format":null},"secondary":{"main_format":"Legal N(...TRUNCATED) | null | {
"primary": {
"main_topic": "Programming & Software Engineering",
"sub_topic": null
},
"secondary": null
} | {"content_quality":1,"noise_severity":0,"missing_content_severity":0,"factual_density":3,"pretrainin(...TRUNCATED) | {"content_quality":0.9476316346619995,"noise_severity":0.5836915492300131,"missing_content_severity"(...TRUNCATED) | {"primary":"Technical Writing","secondary":"Legal Notices","tertiary":"NONE","education_level":"3","(...TRUNCATED) | [] | {"comparable":true,"secondary_tertiary_identical":false,"secondary_tertiary_max_abs_gap":0.708915334(...TRUNCATED) | {"primary":0.9873745034313332,"secondary":0.8287334081325166,"tertiary":0.8091100409801201,"structur(...TRUNCATED) | {"primary":0.9775512974887716,"secondary":0.7277210609361096,"tertiary":0.6508633462358346,"educatio(...TRUNCATED) | {"primary":{"Academic Writing":0.00004270750802187707,"Content Listing":0.000032331501267690516,"Cre(...TRUNCATED) | {"primary":{"Academic Writing":0.00004270750802187707,"Content Listing":0.000032331501267690516,"Cre(...TRUNCATED) | {"primary":{"raw_sum":1.0,"mass_delta":0.0,"missing_mass":0.0,"excess_mass":0.0,"valid":true,"normal(...TRUNCATED) | {
"input_tokens": 14919,
"output_tokens": 19
} | {"status":"unreported","cached_tokens":null,"cache_write_tokens":null,"input_tokens":14919,"cached_s(...TRUNCATED) | {
"model": "decision-models/baseten-mammoth-27b-latest"
} | 2026-10-25T18:29:09.136093+00:00 | primary | 2c558f91-7cec-481b-97bb-08fc4832ee81 | 62077439f2c81c79b71c084d1057ee1d042369a3 | default | content | 887118f288601fe86759449b143b598b7ab1d8d74e6d911ebe02ca6fc085410a | {"uuid":"2c558f91-7cec-481b-97bb-08fc4832ee81","repo_name":"NCAR/lrose-core","relative_path":"codeba(...TRUNCATED) | {"github_metadata":{"branch":"master","commit_count":7406,"repo_created_at":"2016-02-09T23:36:25.000(...TRUNCATED) | 5,949 | cpp | {"content_quality":0.9476316346619995,"noise_severity":0.5836915492300131,"missing_content_severity"(...TRUNCATED) | {
"education_level": 0.9978627123557521,
"creative_writing_quality": 0.0006845943494134508
} |
cpp | openbmb/UltraData-Stack-v3-L2/cpp | github.com | cpp | https://github.com/UniversalRobots/Universal_Robots_ROS_controllers_cartesian/blob/6dbfea943c0ea8135e392f45ed1bbed5f5cf6b4c/cartesian_trajectory_interpolation/include/cartesian_trajectory_interpolation/cartesian_trajectory_segment.h | cpp-0-2ae1b26b2df7b56d271553d870f80c5e | "// -- BEGIN LICENSE BLOCK ----------------------------------------------\n// Copyright 2021 FZI For(...TRUNCATED) | "// -- BEGIN LICENSE BLOCK ---------------------------------------------- // Copyright 2021 FZI Fors(...TRUNCATED) | 1ed45f558adc020f9d86c17e710ecf2a1a1a178bd189165ef9c577702481b9da | 2ae1b26b2df7b56d271553d870f80c5eb5d9544119aed12776c086ba40abb18e | 0dbe3046118ab5f0eea428b55f67ac75d558dc1c7da585927c21fa1685f6e177 | 8 | text-and-optional-url-v1 | 12 | decision-models/baseten-mammoth-27b-latest | baseten | https://inference.baseten.co/v1/systemone | needs_review | false | null | {"primary":{"main_format":"Technical Writing","sub_format":null},"secondary":{"main_format":"Legal N(...TRUNCATED) | {"primary":{"main_topic":"Programming & Software Engineering","sub_topic":null},"secondary":{"main_t(...TRUNCATED) | {"content_quality":1,"noise_severity":1,"missing_content_severity":0,"factual_density":3,"pretrainin(...TRUNCATED) | {"content_quality":1.2377619928692365,"noise_severity":0.6472194178246908,"missing_content_severity"(...TRUNCATED) | {"primary":"Technical Writing","secondary":"Legal Notices","tertiary":"NONE","education_level":"3","(...TRUNCATED) | [
"secondary_topic probability 0.4654 below 0.70"
] | {"comparable":true,"secondary_tertiary_identical":false,"secondary_tertiary_max_abs_gap":0.722825610(...TRUNCATED) | {"primary":0.986760246158913,"secondary":0.8243506790748026,"tertiary":0.8228904901051457,"structure(...TRUNCATED) | {"primary":0.9764380095068637,"secondary":0.7242249581020263,"tertiary":0.6854079618728505,"educatio(...TRUNCATED) | {"primary":{"Academic Writing":0.00012636143922160133,"Content Listing":0.000032268969228107986,"Cre(...TRUNCATED) | {"primary":{"Academic Writing":0.00012636143922160133,"Content Listing":0.000032268969228107986,"Cre(...TRUNCATED) | {"primary":{"raw_sum":1.0,"mass_delta":0.0,"missing_mass":0.0,"excess_mass":0.0,"valid":true,"normal(...TRUNCATED) | {
"input_tokens": 10203,
"output_tokens": 19
} | {"status":"unreported","cached_tokens":null,"cache_write_tokens":null,"input_tokens":10203,"cached_s(...TRUNCATED) | {
"model": "decision-models/baseten-mammoth-27b-latest"
} | 2026-10-25T18:29:09.875302+00:00 | primary | 848a3ca2-6ed6-4b04-8bc9-7228c7d421f4 | 62077439f2c81c79b71c084d1057ee1d042369a3 | default | content | aafbf0092224cbdb50ea0eb25a9b0ac96f0ba4382f45280733939847a5dbd9e3 | {"uuid":"848a3ca2-6ed6-4b04-8bc9-7228c7d421f4","repo_name":"UniversalRobots/Universal_Robots_ROS_con(...TRUNCATED) | {"github_metadata":{"branch":"main","commit_count":124,"repo_created_at":"2021-05-20T10:33:02.000Z",(...TRUNCATED) | 1,544 | cpp | {"content_quality":1.2377619928692365,"noise_severity":0.6472194178246908,"missing_content_severity"(...TRUNCATED) | {
"education_level": 0.9989260190176511,
"creative_writing_quality": 0.0009560873582463478
} |
cpp | openbmb/UltraData-Stack-v3-L2/cpp | github.com | cpp | https://github.com/Tejasvi-13/ADS-tutorial/blob/e0338474f8574e09efddcbb7a7536aae0b0d3201/EMS_without_stack.cpp | cpp-0-e8003c1412cec1de20e06b7fb3417e1f | "#include<iostream>\n\nusing namespace std;\nint c,c1,c2;\nclass Employee\n{\n public:\n int a(...TRUNCATED) | "#include<iostream> using namespace std; int c,c1,c2; class Employee { public: int age,c=0; string n(...TRUNCATED) | 7ceea734f0040a4c021d56b03138e0e1024619c38dce91aa9ff127cc0358065e | e8003c1412cec1de20e06b7fb3417e1f0eeb2cbad1bed48dccc3e9b5eba3be33 | 0dbe3046118ab5f0eea428b55f67ac75d558dc1c7da585927c21fa1685f6e177 | 7 | text-and-optional-url-v1 | 12 | decision-models/baseten-mammoth-27b-latest | baseten | https://inference.baseten.co/v1/systemone | ok | true | {"primary":{"main_format":"Technical Writing","sub_format":null},"secondary":null,"tertiary":null,"c(...TRUNCATED) | null | {
"primary": {
"main_topic": "Programming & Software Engineering",
"sub_topic": null
},
"secondary": null
} | {"content_quality":0,"noise_severity":0,"missing_content_severity":0,"factual_density":4,"pretrainin(...TRUNCATED) | {"content_quality":-0.32739743100900986,"noise_severity":0.6048033339612335,"missing_content_severit(...TRUNCATED) | {"primary":"Technical Writing","secondary":"NONE","tertiary":"NONE","education_level":"2","creative_(...TRUNCATED) | [] | {"comparable":true,"secondary_tertiary_identical":false,"secondary_tertiary_max_abs_gap":0.025400134(...TRUNCATED) | {"primary":0.9810173149898954,"secondary":0.9550667260892167,"tertiary":0.9815712137898772,"structur(...TRUNCATED) | {"primary":0.9670597732765824,"secondary":0.93228263397591,"tertiary":0.972548172046785,"education_l(...TRUNCATED) | {"primary":{"Academic Writing":0.00012614783895426043,"Content Listing":0.00006847376426308535,"Crea(...TRUNCATED) | {"primary":{"Academic Writing":0.00012614783895426043,"Content Listing":0.00006847376426308535,"Crea(...TRUNCATED) | {"primary":{"raw_sum":1.0,"mass_delta":0.0,"missing_mass":0.0,"excess_mass":0.0,"valid":true,"normal(...TRUNCATED) | {
"input_tokens": 9883,
"output_tokens": 19
} | {"status":"unreported","cached_tokens":null,"cache_write_tokens":null,"input_tokens":9883,"cached_sh(...TRUNCATED) | {
"model": "decision-models/baseten-mammoth-27b-latest"
} | 2026-10-25T18:29:10.644068+00:00 | primary | 131e74cd-acde-47dd-8343-3feccdc1c6bf | 62077439f2c81c79b71c084d1057ee1d042369a3 | default | content | 96f892c986ad73addddc8fb48fba43ea9509c73b036a49a1f08da63c10113608 | {"uuid":"131e74cd-acde-47dd-8343-3feccdc1c6bf","repo_name":"Tejasvi-13/ADS-tutorial","relative_path"(...TRUNCATED) | {"github_metadata":{"branch":"main","commit_count":3,"repo_created_at":"2024-04-27T13:51:59.000Z","i(...TRUNCATED) | 1,193 | cpp | {"content_quality":-0.32739743100900986,"noise_severity":0.6048033339612335,"missing_content_severit(...TRUNCATED) | {
"education_level": 0.9988840556059607,
"creative_writing_quality": 0.002162586974579173
} |
cpp | openbmb/UltraData-Stack-v3-L2/cpp | github.com | cpp | https://github.com/pixelsuchter/sloppyEyeTracker/blob/b31f974f0adef9f53e46df5c978973a602cbef36/main.cpp | cpp-0-ddaaf5e0b351ad5ce9332bb68cb43ec4 | "#include <iostream>\n#include <opencv2/opencv.hpp>\n#include <tuple>\n#include <utility>\n\nusing c(...TRUNCATED) | "#include <iostream> #include <opencv2/opencv.hpp> #include <tuple> #include <utility> using coordin(...TRUNCATED) | b0a115f0d2ad038bced6e56b4cdd8ddb99520cc5e2c19f7691ebce77fd450e93 | ddaaf5e0b351ad5ce9332bb68cb43ec4fae98aeeaaf9f289b7329d8cd9c7de49 | 0dbe3046118ab5f0eea428b55f67ac75d558dc1c7da585927c21fa1685f6e177 | 9 | text-and-optional-url-v1 | 12 | decision-models/baseten-mammoth-27b-latest | baseten | https://inference.baseten.co/v1/systemone | ok | true | {"primary":{"main_format":"Technical Writing","sub_format":null},"secondary":null,"tertiary":null,"c(...TRUNCATED) | null | {
"primary": {
"main_topic": "Programming & Software Engineering",
"sub_topic": null
},
"secondary": null
} | {"content_quality":0,"noise_severity":0,"missing_content_severity":0,"factual_density":3,"pretrainin(...TRUNCATED) | {"content_quality":0.3459961894490975,"noise_severity":0.04449028180253403,"missing_content_severity(...TRUNCATED) | {"primary":"Technical Writing","secondary":"NONE","tertiary":"NONE","education_level":"2","creative_(...TRUNCATED) | [] | {"comparable":true,"secondary_tertiary_identical":false,"secondary_tertiary_max_abs_gap":0.010974267(...TRUNCATED) | {"primary":0.9943885780922297,"secondary":0.9842644456151572,"tertiary":0.9957158550985772,"structur(...TRUNCATED) | {"primary":0.9921558690234378,"secondary":0.9757697852707786,"tertiary":0.9939298042677028,"educatio(...TRUNCATED) | {"primary":{"Academic Writing":0.00005345599042086737,"Content Listing":0.000025156660368811955,"Cre(...TRUNCATED) | {"primary":{"Academic Writing":0.00005345599042086737,"Content Listing":0.000025156660368811955,"Cre(...TRUNCATED) | {"primary":{"raw_sum":1.0,"mass_delta":0.0,"missing_mass":0.0,"excess_mass":0.0,"valid":true,"normal(...TRUNCATED) | {
"input_tokens": 11298,
"output_tokens": 19
} | {"status":"unreported","cached_tokens":null,"cache_write_tokens":null,"input_tokens":11298,"cached_s(...TRUNCATED) | {
"model": "decision-models/baseten-mammoth-27b-latest"
} | 2026-10-25T18:29:12.764014+00:00 | primary | cb2fd0b4-307c-4b25-b2bc-5a62a3f0e37d | 62077439f2c81c79b71c084d1057ee1d042369a3 | default | content | a8db51ca403c1905949660d08966f9c654aff5b111849b2beacfeb8875662c99 | {"uuid":"cb2fd0b4-307c-4b25-b2bc-5a62a3f0e37d","repo_name":"pixelsuchter/sloppyEyeTracker","relative(...TRUNCATED) | {"github_metadata":{"branch":"master","commit_count":5,"repo_created_at":"2024-10-30T21:09:44.000Z",(...TRUNCATED) | 2,517 | cpp | {"content_quality":0.3459961894490975,"noise_severity":0.04449028180253403,"missing_content_severity(...TRUNCATED) | {
"education_level": 0.9988935818677933,
"creative_writing_quality": 0.0012122819643852968
} |
cpp | openbmb/UltraData-Stack-v3-L2/cpp | github.com | cpp | https://github.com/fishy15/competitive_programming/blob/739a10ba45bc0eb8ea5a83bf8ae455045dd233fa/icpc/brazil_subregional/2019/artwork.cpp | cpp-0-563b4ad98651acbebf89a58ebc6f7ac4 | "#include <iostream>\n#include <iomanip>\n#include <fstream>\n#include <vector>\n#include <array>\n#(...TRUNCATED) | "#include <iostream> #include <iomanip> #include <fstream> #include <vector> #include <array> #inclu(...TRUNCATED) | ed59ac27be969677d8ab0a4a8dd76e0e484a3ecb061eb497aa33ad854ba977b5 | 563b4ad98651acbebf89a58ebc6f7ac446b9234cdcd54336605ce40f456e4275 | 0dbe3046118ab5f0eea428b55f67ac75d558dc1c7da585927c21fa1685f6e177 | 10 | text-and-optional-url-v1 | 12 | decision-models/baseten-mammoth-27b-latest | baseten | https://inference.baseten.co/v1/systemone | needs_review | false | null | {"primary":{"main_format":"Technical Writing","sub_format":null},"secondary":null,"tertiary":null,"c(...TRUNCATED) | {"primary":{"main_topic":"Programming & Software Engineering","sub_topic":null},"secondary":{"main_t(...TRUNCATED) | {"content_quality":1,"noise_severity":0,"missing_content_severity":0,"factual_density":4,"pretrainin(...TRUNCATED) | {"content_quality":1.0867677825471882,"noise_severity":0.05930789250569578,"missing_content_severity(...TRUNCATED) | {"primary":"Technical Writing","secondary":"NONE","tertiary":"NONE","education_level":"2","creative_(...TRUNCATED) | [
"secondary_topic probability 0.5097 below 0.70"
] | {"comparable":true,"secondary_tertiary_identical":false,"secondary_tertiary_max_abs_gap":0.004624908(...TRUNCATED) | {"primary":0.9950568968265066,"secondary":0.9896787577617809,"tertiary":0.9945047493040323,"structur(...TRUNCATED) | {"primary":0.9924742593209945,"secondary":0.9839233762495683,"tertiary":0.9919688622918064,"educatio(...TRUNCATED) | {"primary":{"Academic Writing":0.0000422486125616531,"Content Listing":0.00001921578548260699,"Creat(...TRUNCATED) | {"primary":{"Academic Writing":0.0000422486125616531,"Content Listing":0.00001921578548260699,"Creat(...TRUNCATED) | {"primary":{"raw_sum":1.0,"mass_delta":0.0,"missing_mass":0.0,"excess_mass":0.0,"valid":true,"normal(...TRUNCATED) | {
"input_tokens": 9827,
"output_tokens": 19
} | {"status":"unreported","cached_tokens":null,"cache_write_tokens":null,"input_tokens":9827,"cached_sh(...TRUNCATED) | {
"model": "decision-models/baseten-mammoth-27b-latest"
} | 2026-10-25T18:29:13.474098+00:00 | primary | 8630bf1d-2057-46af-bcc4-1ae9b16d1dcf | 62077439f2c81c79b71c084d1057ee1d042369a3 | default | content | 4417593852c5c842e9a6fa75f5edd501a1ad8916b63e6d6622f97a13075ffb21 | {"uuid":"8630bf1d-2057-46af-bcc4-1ae9b16d1dcf","repo_name":"fishy15/competitive_programming","relati(...TRUNCATED) | {"github_metadata":{"branch":"master","commit_count":1058,"repo_created_at":"2019-02-21T11:46:05.000(...TRUNCATED) | 1,202 | cpp | {"content_quality":1.0867677825471882,"noise_severity":0.05930789250569578,"missing_content_severity(...TRUNCATED) | {
"education_level": 0.9987248605392595,
"creative_writing_quality": 0.0005970238612108118
} |
End of preview.
No dataset card yet
- Downloads last month
- -