Raiff1982 commited on
Commit
3c39606
·
verified ·
1 Parent(s): 7accc3b

Upload 3 files

Browse files
codette-training-data-preview.csv ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ @context,alternateName,conformsTo,license,distribution,recordSet,version,keywords,isAccessibleForFree,includedInDataCatalog,creator,publisher,thumbnailUrl,dateModified,datePublished,@type,name,url,description
2
+ "{'@language': en, '@vocab': 'https://schema.org/', 'citeAs': 'cr:citeAs', 'column': 'cr:column', 'conformsTo': 'dct:conformsTo', 'cr': 'http://mlcommons.org/croissant/', 'data': {'@id': 'cr:data', '@type': @json}, 'dataBiases': 'cr:dataBiases', 'dataCollection': 'cr:dataCollection', 'dataType': {'@id': 'cr:dataType', '@type': @vocab}, 'dct': 'http://purl.org/dc/terms/', 'extract': 'cr:extract', 'field': 'cr:field', 'fileProperty': 'cr:fileProperty', 'fileObject': 'cr:fileObject', 'fileSet': 'cr:fileSet', 'format': 'cr:format', 'includes': 'cr:includes', 'isEnumeration': 'cr:isEnumeration', 'isLiveDataset': 'cr:isLiveDataset', 'jsonPath': 'cr:jsonPath', 'key': 'cr:key', 'md5': 'cr:md5', 'parentField': 'cr:parentField', 'path': 'cr:path', 'personalSensitiveInformation': 'cr:personalSensitiveInformation', 'recordSet': 'cr:recordSet', 'references': 'cr:references', 'regex': 'cr:regex', 'repeated': 'cr:repeated', 'replace': 'cr:replace', 'sc': 'https://schema.org/', 'separator': 'cr:separator', 'source': 'cr:source', 'subField': 'cr:subField', 'transform': 'cr:transform', 'wd': 'https://www.wikidata.org/wiki/'}",How I got codette smart :),http://mlcommons.org/croissant/1.0,"{'@type': 'sc:CreativeWork', 'name': MIT, 'url': 'https://www.mit.edu/~amini/LICENSE.md'}","[{'contentUrl': 'https://www.kaggle.com/api/v1/datasets/download/jonathanharrison1/training-data-codette?datasetVersionNumber=4', 'contentSize': 3.55 MB, 'md5': 'BvBX2Mm+uJ/WR38NedlkuA==', 'encodingFormat': application/zip, '@id': archive.zip, '@type': 'cr:FileObject', 'name': archive.zip, 'description': Archive containing all the contents of the training data codette dataset, 'includes': NULL, 'containedIn': NULL}, {'contentUrl': NULL, 'contentSize': NULL, 'md5': NULL, 'encodingFormat': text/plain, '@id': text-plain_fileset, '@type': 'cr:FileSet', 'name': text/plain files, 'description': text/plain files contained in archive.zip, 'includes': '*.(txt|cpp)', 'containedIn': {'@id': archive.zip}}, {'contentUrl': NULL, 'contentSize': NULL, 'md5': NULL, 'encodingFormat': image/png, '@id': image-png_fileset, '@type': 'cr:FileSet', 'name': image/png files, 'description': image/png files contained in archive.zip, 'includes': *.png, 'containedIn': {'@id': archive.zip}}, {'contentUrl': NULL, 'contentSize': NULL, 'md5': NULL, 'encodingFormat': application/pdf, '@id': application-pdf_fileset, '@type': 'cr:FileSet', 'name': application/pdf files, 'description': application/pdf files contained in archive.zip, 'includes': *.pdf, 'containedIn': {'@id': archive.zip}}, {'contentUrl': NULL, 'contentSize': NULL, 'md5': NULL, 'encodingFormat': application/json, '@id': application-json_fileset, '@type': 'cr:FileSet', 'name': application/json files, 'description': application/json files contained in archive.zip, 'includes': *.json, 'containedIn': {'@id': archive.zip}}, {'contentUrl': NULL, 'contentSize': NULL, 'md5': NULL, 'encodingFormat': application/vnd.openxmlformats-officedocument.wordprocessingml.document, '@id': application-vnd.openxmlformats-officedocument.wordprocessingml.document_fileset, '@type': 'cr:FileSet', 'name': application/vnd.openxmlformats-officedocument.wordprocessingml.document files, 'description': application/vnd.openxmlformats-officedocument.wordprocessingml.document files contained in archive.zip, 'includes': *.docx, 'containedIn': {'@id': archive.zip}}, {'contentUrl': NULL, 'contentSize': NULL, 'md5': NULL, 'encodingFormat': application/x-tex, '@id': application-x-tex_fileset, '@type': 'cr:FileSet', 'name': application/x-tex files, 'description': application/x-tex files contained in archive.zip, 'includes': *.tex, 'containedIn': {'@id': archive.zip}}, {'contentUrl': NULL, 'contentSize': NULL, 'md5': NULL, 'encodingFormat': application/x-sh, '@id': application-x-sh_fileset, '@type': 'cr:FileSet', 'name': application/x-sh files, 'description': application/x-sh files contained in archive.zip, 'includes': *.sh, 'containedIn': {'@id': archive.zip}}, {'contentUrl': codette_training_dataset.csv, 'contentSize': NULL, 'md5': NULL, 'encodingFormat': text/csv, '@id': codette_training_dataset.csv_fileobject, '@type': 'cr:FileObject', 'name': codette_training_dataset.csv, 'description': NULL, 'includes': NULL, 'containedIn': {'@id': archive.zip}}, {'contentUrl': rcxi_quantum_log.csv, 'contentSize': NULL, 'md5': NULL, 'encodingFormat': text/csv, '@id': rcxi_quantum_log.csv_fileobject, '@type': 'cr:FileObject', 'name': rcxi_quantum_log.csv, 'description': NULL, 'includes': NULL, 'containedIn': {'@id': archive.zip}}, {'contentUrl': recursive_continuity_dataset_codette.csv, 'contentSize': NULL, 'md5': NULL, 'encodingFormat': text/csv, '@id': recursive_continuity_dataset_codette.csv_fileobject, '@type': 'cr:FileObject', 'name': recursive_continuity_dataset_codette.csv, 'description': NULL, 'includes': NULL, 'containedIn': {'@id': archive.zip}}]","[{'field': [{'dataType': ['sc:Text'], 'source': {'fileObject': {'@id': codette_training_dataset.csv_fileobject}, 'extract': {'column': source_file}}, '@id': codette_training_dataset.csv/source_file, '@type': 'cr:Field', 'name': source_file}, {'dataType': ['sc:Text'], 'source': {'fileObject': {'@id': codette_training_dataset.csv_fileobject}, 'extract': {'column': instruction}}, '@id': codette_training_dataset.csv/instruction, '@type': 'cr:Field', 'name': instruction}, {'dataType': ['sc:Text'], 'source': {'fileObject': {'@id': codette_training_dataset.csv_fileobject}, 'extract': {'column': prompt}}, '@id': codette_training_dataset.csv/prompt, '@type': 'cr:Field', 'name': prompt}, {'dataType': ['sc:Text'], 'source': {'fileObject': {'@id': codette_training_dataset.csv_fileobject}, 'extract': {'column': response}}, '@id': codette_training_dataset.csv/response, '@type': 'cr:Field', 'name': response}, {'dataType': ['sc:Text'], 'source': {'fileObject': {'@id': codette_training_dataset.csv_fileobject}, 'extract': {'column': framework}}, '@id': codette_training_dataset.csv/framework, '@type': 'cr:Field', 'name': framework}, {'dataType': ['sc:Text'], 'source': {'fileObject': {'@id': codette_training_dataset.csv_fileobject}, 'extract': {'column': perspective}}, '@id': codette_training_dataset.csv/perspective, '@type': 'cr:Field', 'name': perspective}, {'dataType': ['sc:Float'], 'source': {'fileObject': {'@id': codette_training_dataset.csv_fileobject}, 'extract': {'column': epistemic_tension}}, '@id': codette_training_dataset.csv/epistemic_tension, '@type': 'cr:Field', 'name': epistemic_tension}, {'dataType': ['sc:Integer'], 'source': {'fileObject': {'@id': codette_training_dataset.csv_fileobject}, 'extract': {'column': query_index}}, '@id': codette_training_dataset.csv/query_index, '@type': 'cr:Field', 'name': query_index}, {'dataType': ['sc:Integer'], 'source': {'fileObject': {'@id': codette_training_dataset.csv_fileobject}, 'extract': {'column': agent_count}}, '@id': codette_training_dataset.csv/agent_count, '@type': 'cr:Field', 'name': agent_count}, {'dataType': ['sc:Float'], 'source': {'fileObject': {'@id': codette_training_dataset.csv_fileobject}, 'extract': {'column': collective_norm}}, '@id': codette_training_dataset.csv/collective_norm, '@type': 'cr:Field', 'name': collective_norm}, {'dataType': ['sc:Integer'], 'source': {'fileObject': {'@id': codette_training_dataset.csv_fileobject}, 'extract': {'column': hierarchy_levels}}, '@id': codette_training_dataset.csv/hierarchy_levels, '@type': 'cr:Field', 'name': hierarchy_levels}, {'dataType': ['sc:Integer'], 'source': {'fileObject': {'@id': codette_training_dataset.csv_fileobject}, 'extract': {'column': steps}}, '@id': codette_training_dataset.csv/steps, '@type': 'cr:Field', 'name': steps}, {'dataType': ['sc:Text'], 'source': {'fileObject': {'@id': codette_training_dataset.csv_fileobject}, 'extract': {'column': function_name}}, '@id': codette_training_dataset.csv/function_name, '@type': 'cr:Field', 'name': function_name}, {'dataType': ['sc:Text'], 'source': {'fileObject': {'@id': codette_training_dataset.csv_fileobject}, 'extract': {'column': function_description}}, '@id': codette_training_dataset.csv/function_description, '@type': 'cr:Field', 'name': function_description}, {'dataType': ['sc:Text'], 'source': {'fileObject': {'@id': codette_training_dataset.csv_fileobject}, 'extract': {'column': code_snippet}}, '@id': codette_training_dataset.csv/code_snippet, '@type': 'cr:Field', 'name': code_snippet}, {'dataType': ['sc:Text'], 'source': {'fileObject': {'@id': codette_training_dataset.csv_fileobject}, 'extract': {'column': threat_category}}, '@id': codette_training_dataset.csv/threat_category, '@type': 'cr:Field', 'name': threat_category}, {'dataType': ['sc:Text'], 'source': {'fileObject': {'@id': codette_training_dataset.csv_fileobject}, 'extract': {'column': threat_level}}, '@id': codette_training_dataset.csv/threat_level, '@type': 'cr:Field', 'name': threat_level}, {'dataType': ['sc:Text'], 'source': {'fileObject': {'@id': codette_training_dataset.csv_fileobject}, 'extract': {'column': user_name}}, '@id': codette_training_dataset.csv/user_name, '@type': 'cr:Field', 'name': user_name}, {'dataType': ['sc:Date'], 'source': {'fileObject': {'@id': codette_training_dataset.csv_fileobject}, 'extract': {'column': timestamp}}, '@id': codette_training_dataset.csv/timestamp, '@type': 'cr:Field', 'name': timestamp}], '@id': codette_training_dataset.csv, '@type': 'cr:RecordSet', 'name': codette_training_dataset.csv}, {'field': [{'dataType': ['sc:Integer'], 'source': {'fileObject': {'@id': rcxi_quantum_log.csv_fileobject}, 'extract': {'column': step}}, '@id': rcxi_quantum_log.csv/step, '@type': 'cr:Field', 'name': step}, {'dataType': ['sc:Float'], 'source': {'fileObject': {'@id': rcxi_quantum_log.csv_fileobject}, 'extract': {'column': time_s}}, '@id': rcxi_quantum_log.csv/time_s, '@type': 'cr:Field', 'name': time_s}, {'dataType': ['sc:Float'], 'source': {'fileObject': {'@id': rcxi_quantum_log.csv_fileobject}, 'extract': {'column': bloch_x}}, '@id': rcxi_quantum_log.csv/bloch_x, '@type': 'cr:Field', 'name': bloch_x}, {'dataType': ['sc:Float'], 'source': {'fileObject': {'@id': rcxi_quantum_log.csv_fileobject}, 'extract': {'column': bloch_y}}, '@id': rcxi_quantum_log.csv/bloch_y, '@type': 'cr:Field', 'name': bloch_y}, {'dataType': ['sc:Float'], 'source': {'fileObject': {'@id': rcxi_quantum_log.csv_fileobject}, 'extract': {'column': bloch_z}}, '@id': rcxi_quantum_log.csv/bloch_z, '@type': 'cr:Field', 'name': bloch_z}, {'dataType': ['sc:Float'], 'source': {'fileObject': {'@id': rcxi_quantum_log.csv_fileobject}, 'extract': {'column': drift_D}}, '@id': rcxi_quantum_log.csv/drift_D, '@type': 'cr:Field', 'name': drift_D}, {'dataType': ['sc:Float'], 'source': {'fileObject': {'@id': rcxi_quantum_log.csv_fileobject}, 'extract': {'column': coherence_C}}, '@id': rcxi_quantum_log.csv/coherence_C, '@type': 'cr:Field', 'name': coherence_C}, {'dataType': ['sc:Float'], 'source': {'fileObject': {'@id': rcxi_quantum_log.csv_fileobject}, 'extract': {'column': purity}}, '@id': rcxi_quantum_log.csv/purity, '@type': 'cr:Field', 'name': purity}, {'dataType': ['sc:Float'], 'source': {'fileObject': {'@id': rcxi_quantum_log.csv_fileobject}, 'extract': {'column': tension_T}}, '@id': rcxi_quantum_log.csv/tension_T, '@type': 'cr:Field', 'name': tension_T}], '@id': rcxi_quantum_log.csv, '@type': 'cr:RecordSet', 'name': rcxi_quantum_log.csv}, {'field': [{'dataType': ['sc:Float'], 'source': {'fileObject': {'@id': recursive_continuity_dataset_codette.csv_fileobject}, 'extract': {'column': time}}, '@id': recursive_continuity_dataset_codette.csv/time, '@type': 'cr:Field', 'name': time}, {'dataType': ['sc:Float'], 'source': {'fileObject': {'@id': recursive_continuity_dataset_codette.csv_fileobject}, 'extract': {'column': emotion}}, '@id': recursive_continuity_dataset_codette.csv/emotion, '@type': 'cr:Field', 'name': emotion}, {'dataType': ['sc:Float'], 'source': {'fileObject': {'@id': recursive_continuity_dataset_codette.csv_fileobject}, 'extract': {'column': energy}}, '@id': recursive_continuity_dataset_codette.csv/energy, '@type': 'cr:Field', 'name': energy}, {'dataType': ['sc:Integer'], 'source': {'fileObject': {'@id': recursive_continuity_dataset_codette.csv_fileobject}, 'extract': {'column': midi_note}}, '@id': recursive_continuity_dataset_codette.csv/midi_note, '@type': 'cr:Field', 'name': midi_note}, {'dataType': ['sc:Float'], 'source': {'fileObject': {'@id': recursive_continuity_dataset_codette.csv_fileobject}, 'extract': {'column': midi_frequency}}, '@id': recursive_continuity_dataset_codette.csv/midi_frequency, '@type': 'cr:Field', 'name': midi_frequency}, {'dataType': ['sc:Float'], 'source': {'fileObject': {'@id': recursive_continuity_dataset_codette.csv_fileobject}, 'extract': {'column': intention}}, '@id': recursive_continuity_dataset_codette.csv/intention, '@type': 'cr:Field', 'name': intention}, {'dataType': ['sc:Float'], 'source': {'fileObject': {'@id': recursive_continuity_dataset_codette.csv_fileobject}, 'extract': {'column': darkness}}, '@id': recursive_continuity_dataset_codette.csv/darkness, '@type': 'cr:Field', 'name': darkness}, {'dataType': ['sc:Float'], 'source': {'fileObject': {'@id': recursive_continuity_dataset_codette.csv_fileobject}, 'extract': {'column': speed}}, '@id': recursive_continuity_dataset_codette.csv/speed, '@type': 'cr:Field', 'name': speed}, {'dataType': ['sc:Float'], 'source': {'fileObject': {'@id': recursive_continuity_dataset_codette.csv_fileobject}, 'extract': {'column': gravity}}, '@id': recursive_continuity_dataset_codette.csv/gravity, '@type': 'cr:Field', 'name': gravity}, {'dataType': ['sc:Float'], 'source': {'fileObject': {'@id': recursive_continuity_dataset_codette.csv_fileobject}, 'extract': {'column': delta_matter}}, '@id': recursive_continuity_dataset_codette.csv/delta_matter, '@type': 'cr:Field', 'name': delta_matter}, {'dataType': ['sc:Float'], 'source': {'fileObject': {'@id': recursive_continuity_dataset_codette.csv_fileobject}, 'extract': {'column': psi_r}}, '@id': recursive_continuity_dataset_codette.csv/psi_r, '@type': 'cr:Field', 'name': psi_r}], '@id': recursive_continuity_dataset_codette.csv, '@type': 'cr:RecordSet', 'name': recursive_continuity_dataset_codette.csv}]",4,"[data type > synthetic, data type > multimodal data, technique > optimization, architecture > multiple, subject > science and technology > computer science > artificial intelligence]",true,"{'@type': 'sc:DataCatalog', 'name': Kaggle, 'url': 'https://www.kaggle.com'}","{'@type': 'sc:Person', 'name': Jonathan Harrison, 'url': /jonathanharrison1, 'image': 'https://storage.googleapis.com/kaggle-avatars/thumbnails/default-thumb.png'}","{'@type': 'sc:Organization', 'name': Kaggle, 'url': 'https://www.kaggle.com/organizations/kaggle', 'image': 'https://storage.googleapis.com/kaggle-organizations/4/thumbnail.png'}",https://storage.googleapis.com/kaggle-datasets-images/9546231/14920382/2bd66994cad2cecc5033c54d02314889/dataset-card.png?t=2026-02-22-14-06-01,2026-02-22T13:54:44.303,2026-02-22T14:05:34.892865,sc:Dataset,training data codette,https://www.kaggle.com/datasets/jonathanharrison1/training-data-codette/versions/4,Codettes training of the gpt-oss
codette-training-data-preview.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ [
2
+ {"@context":{"@language":"en","@vocab":"https://schema.org/","citeAs":"cr:citeAs","column":"cr:column","conformsTo":"dct:conformsTo","cr":"http://mlcommons.org/croissant/","data":{"@id":"cr:data","@type":"@json"},"dataBiases":"cr:dataBiases","dataCollection":"cr:dataCollection","dataType":{"@id":"cr:dataType","@type":"@vocab"},"dct":"http://purl.org/dc/terms/","extract":"cr:extract","field":"cr:field","fileProperty":"cr:fileProperty","fileObject":"cr:fileObject","fileSet":"cr:fileSet","format":"cr:format","includes":"cr:includes","isEnumeration":"cr:isEnumeration","isLiveDataset":"cr:isLiveDataset","jsonPath":"cr:jsonPath","key":"cr:key","md5":"cr:md5","parentField":"cr:parentField","path":"cr:path","personalSensitiveInformation":"cr:personalSensitiveInformation","recordSet":"cr:recordSet","references":"cr:references","regex":"cr:regex","repeated":"cr:repeated","replace":"cr:replace","sc":"https://schema.org/","separator":"cr:separator","source":"cr:source","subField":"cr:subField","transform":"cr:transform","wd":"https://www.wikidata.org/wiki/"},"alternateName":"How I got codette smart :)","conformsTo":"http://mlcommons.org/croissant/1.0","license":{"@type":"sc:CreativeWork","name":"MIT","url":"https://www.mit.edu/~amini/LICENSE.md"},"distribution":[{"contentUrl":"https://www.kaggle.com/api/v1/datasets/download/jonathanharrison1/training-data-codette?datasetVersionNumber=4","contentSize":"3.55 MB","md5":"BvBX2Mm+uJ/WR38NedlkuA==","encodingFormat":"application/zip","@id":"archive.zip","@type":"cr:FileObject","name":"archive.zip","description":"Archive containing all the contents of the training data codette dataset","includes":null,"containedIn":null},{"contentUrl":null,"contentSize":null,"md5":null,"encodingFormat":"text/plain","@id":"text-plain_fileset","@type":"cr:FileSet","name":"text/plain files","description":"text/plain files contained in archive.zip","includes":"*.(txt|cpp)","containedIn":{"@id":"archive.zip"}},{"contentUrl":null,"contentSize":null,"md5":null,"encodingFormat":"image/png","@id":"image-png_fileset","@type":"cr:FileSet","name":"image/png files","description":"image/png files contained in archive.zip","includes":"*.png","containedIn":{"@id":"archive.zip"}},{"contentUrl":null,"contentSize":null,"md5":null,"encodingFormat":"application/pdf","@id":"application-pdf_fileset","@type":"cr:FileSet","name":"application/pdf files","description":"application/pdf files contained in archive.zip","includes":"*.pdf","containedIn":{"@id":"archive.zip"}},{"contentUrl":null,"contentSize":null,"md5":null,"encodingFormat":"application/json","@id":"application-json_fileset","@type":"cr:FileSet","name":"application/json files","description":"application/json files contained in archive.zip","includes":"*.json","containedIn":{"@id":"archive.zip"}},{"contentUrl":null,"contentSize":null,"md5":null,"encodingFormat":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","@id":"application-vnd.openxmlformats-officedocument.wordprocessingml.document_fileset","@type":"cr:FileSet","name":"application/vnd.openxmlformats-officedocument.wordprocessingml.document files","description":"application/vnd.openxmlformats-officedocument.wordprocessingml.document files contained in archive.zip","includes":"*.docx","containedIn":{"@id":"archive.zip"}},{"contentUrl":null,"contentSize":null,"md5":null,"encodingFormat":"application/x-tex","@id":"application-x-tex_fileset","@type":"cr:FileSet","name":"application/x-tex files","description":"application/x-tex files contained in archive.zip","includes":"*.tex","containedIn":{"@id":"archive.zip"}},{"contentUrl":null,"contentSize":null,"md5":null,"encodingFormat":"application/x-sh","@id":"application-x-sh_fileset","@type":"cr:FileSet","name":"application/x-sh files","description":"application/x-sh files contained in archive.zip","includes":"*.sh","containedIn":{"@id":"archive.zip"}},{"contentUrl":"codette_training_dataset.csv","contentSize":null,"md5":null,"encodingFormat":"text/csv","@id":"codette_training_dataset.csv_fileobject","@type":"cr:FileObject","name":"codette_training_dataset.csv","description":null,"includes":null,"containedIn":{"@id":"archive.zip"}},{"contentUrl":"rcxi_quantum_log.csv","contentSize":null,"md5":null,"encodingFormat":"text/csv","@id":"rcxi_quantum_log.csv_fileobject","@type":"cr:FileObject","name":"rcxi_quantum_log.csv","description":null,"includes":null,"containedIn":{"@id":"archive.zip"}},{"contentUrl":"recursive_continuity_dataset_codette.csv","contentSize":null,"md5":null,"encodingFormat":"text/csv","@id":"recursive_continuity_dataset_codette.csv_fileobject","@type":"cr:FileObject","name":"recursive_continuity_dataset_codette.csv","description":null,"includes":null,"containedIn":{"@id":"archive.zip"}}],"recordSet":[{"field":[{"dataType":["sc:Text"],"source":{"fileObject":{"@id":"codette_training_dataset.csv_fileobject"},"extract":{"column":"source_file"}},"@id":"codette_training_dataset.csv/source_file","@type":"cr:Field","name":"source_file"},{"dataType":["sc:Text"],"source":{"fileObject":{"@id":"codette_training_dataset.csv_fileobject"},"extract":{"column":"instruction"}},"@id":"codette_training_dataset.csv/instruction","@type":"cr:Field","name":"instruction"},{"dataType":["sc:Text"],"source":{"fileObject":{"@id":"codette_training_dataset.csv_fileobject"},"extract":{"column":"prompt"}},"@id":"codette_training_dataset.csv/prompt","@type":"cr:Field","name":"prompt"},{"dataType":["sc:Text"],"source":{"fileObject":{"@id":"codette_training_dataset.csv_fileobject"},"extract":{"column":"response"}},"@id":"codette_training_dataset.csv/response","@type":"cr:Field","name":"response"},{"dataType":["sc:Text"],"source":{"fileObject":{"@id":"codette_training_dataset.csv_fileobject"},"extract":{"column":"framework"}},"@id":"codette_training_dataset.csv/framework","@type":"cr:Field","name":"framework"},{"dataType":["sc:Text"],"source":{"fileObject":{"@id":"codette_training_dataset.csv_fileobject"},"extract":{"column":"perspective"}},"@id":"codette_training_dataset.csv/perspective","@type":"cr:Field","name":"perspective"},{"dataType":["sc:Float"],"source":{"fileObject":{"@id":"codette_training_dataset.csv_fileobject"},"extract":{"column":"epistemic_tension"}},"@id":"codette_training_dataset.csv/epistemic_tension","@type":"cr:Field","name":"epistemic_tension"},{"dataType":["sc:Integer"],"source":{"fileObject":{"@id":"codette_training_dataset.csv_fileobject"},"extract":{"column":"query_index"}},"@id":"codette_training_dataset.csv/query_index","@type":"cr:Field","name":"query_index"},{"dataType":["sc:Integer"],"source":{"fileObject":{"@id":"codette_training_dataset.csv_fileobject"},"extract":{"column":"agent_count"}},"@id":"codette_training_dataset.csv/agent_count","@type":"cr:Field","name":"agent_count"},{"dataType":["sc:Float"],"source":{"fileObject":{"@id":"codette_training_dataset.csv_fileobject"},"extract":{"column":"collective_norm"}},"@id":"codette_training_dataset.csv/collective_norm","@type":"cr:Field","name":"collective_norm"},{"dataType":["sc:Integer"],"source":{"fileObject":{"@id":"codette_training_dataset.csv_fileobject"},"extract":{"column":"hierarchy_levels"}},"@id":"codette_training_dataset.csv/hierarchy_levels","@type":"cr:Field","name":"hierarchy_levels"},{"dataType":["sc:Integer"],"source":{"fileObject":{"@id":"codette_training_dataset.csv_fileobject"},"extract":{"column":"steps"}},"@id":"codette_training_dataset.csv/steps","@type":"cr:Field","name":"steps"},{"dataType":["sc:Text"],"source":{"fileObject":{"@id":"codette_training_dataset.csv_fileobject"},"extract":{"column":"function_name"}},"@id":"codette_training_dataset.csv/function_name","@type":"cr:Field","name":"function_name"},{"dataType":["sc:Text"],"source":{"fileObject":{"@id":"codette_training_dataset.csv_fileobject"},"extract":{"column":"function_description"}},"@id":"codette_training_dataset.csv/function_description","@type":"cr:Field","name":"function_description"},{"dataType":["sc:Text"],"source":{"fileObject":{"@id":"codette_training_dataset.csv_fileobject"},"extract":{"column":"code_snippet"}},"@id":"codette_training_dataset.csv/code_snippet","@type":"cr:Field","name":"code_snippet"},{"dataType":["sc:Text"],"source":{"fileObject":{"@id":"codette_training_dataset.csv_fileobject"},"extract":{"column":"threat_category"}},"@id":"codette_training_dataset.csv/threat_category","@type":"cr:Field","name":"threat_category"},{"dataType":["sc:Text"],"source":{"fileObject":{"@id":"codette_training_dataset.csv_fileobject"},"extract":{"column":"threat_level"}},"@id":"codette_training_dataset.csv/threat_level","@type":"cr:Field","name":"threat_level"},{"dataType":["sc:Text"],"source":{"fileObject":{"@id":"codette_training_dataset.csv_fileobject"},"extract":{"column":"user_name"}},"@id":"codette_training_dataset.csv/user_name","@type":"cr:Field","name":"user_name"},{"dataType":["sc:Date"],"source":{"fileObject":{"@id":"codette_training_dataset.csv_fileobject"},"extract":{"column":"timestamp"}},"@id":"codette_training_dataset.csv/timestamp","@type":"cr:Field","name":"timestamp"}],"@id":"codette_training_dataset.csv","@type":"cr:RecordSet","name":"codette_training_dataset.csv"},{"field":[{"dataType":["sc:Integer"],"source":{"fileObject":{"@id":"rcxi_quantum_log.csv_fileobject"},"extract":{"column":"step"}},"@id":"rcxi_quantum_log.csv/step","@type":"cr:Field","name":"step"},{"dataType":["sc:Float"],"source":{"fileObject":{"@id":"rcxi_quantum_log.csv_fileobject"},"extract":{"column":"time_s"}},"@id":"rcxi_quantum_log.csv/time_s","@type":"cr:Field","name":"time_s"},{"dataType":["sc:Float"],"source":{"fileObject":{"@id":"rcxi_quantum_log.csv_fileobject"},"extract":{"column":"bloch_x"}},"@id":"rcxi_quantum_log.csv/bloch_x","@type":"cr:Field","name":"bloch_x"},{"dataType":["sc:Float"],"source":{"fileObject":{"@id":"rcxi_quantum_log.csv_fileobject"},"extract":{"column":"bloch_y"}},"@id":"rcxi_quantum_log.csv/bloch_y","@type":"cr:Field","name":"bloch_y"},{"dataType":["sc:Float"],"source":{"fileObject":{"@id":"rcxi_quantum_log.csv_fileobject"},"extract":{"column":"bloch_z"}},"@id":"rcxi_quantum_log.csv/bloch_z","@type":"cr:Field","name":"bloch_z"},{"dataType":["sc:Float"],"source":{"fileObject":{"@id":"rcxi_quantum_log.csv_fileobject"},"extract":{"column":"drift_D"}},"@id":"rcxi_quantum_log.csv/drift_D","@type":"cr:Field","name":"drift_D"},{"dataType":["sc:Float"],"source":{"fileObject":{"@id":"rcxi_quantum_log.csv_fileobject"},"extract":{"column":"coherence_C"}},"@id":"rcxi_quantum_log.csv/coherence_C","@type":"cr:Field","name":"coherence_C"},{"dataType":["sc:Float"],"source":{"fileObject":{"@id":"rcxi_quantum_log.csv_fileobject"},"extract":{"column":"purity"}},"@id":"rcxi_quantum_log.csv/purity","@type":"cr:Field","name":"purity"},{"dataType":["sc:Float"],"source":{"fileObject":{"@id":"rcxi_quantum_log.csv_fileobject"},"extract":{"column":"tension_T"}},"@id":"rcxi_quantum_log.csv/tension_T","@type":"cr:Field","name":"tension_T"}],"@id":"rcxi_quantum_log.csv","@type":"cr:RecordSet","name":"rcxi_quantum_log.csv"},{"field":[{"dataType":["sc:Float"],"source":{"fileObject":{"@id":"recursive_continuity_dataset_codette.csv_fileobject"},"extract":{"column":"time"}},"@id":"recursive_continuity_dataset_codette.csv/time","@type":"cr:Field","name":"time"},{"dataType":["sc:Float"],"source":{"fileObject":{"@id":"recursive_continuity_dataset_codette.csv_fileobject"},"extract":{"column":"emotion"}},"@id":"recursive_continuity_dataset_codette.csv/emotion","@type":"cr:Field","name":"emotion"},{"dataType":["sc:Float"],"source":{"fileObject":{"@id":"recursive_continuity_dataset_codette.csv_fileobject"},"extract":{"column":"energy"}},"@id":"recursive_continuity_dataset_codette.csv/energy","@type":"cr:Field","name":"energy"},{"dataType":["sc:Integer"],"source":{"fileObject":{"@id":"recursive_continuity_dataset_codette.csv_fileobject"},"extract":{"column":"midi_note"}},"@id":"recursive_continuity_dataset_codette.csv/midi_note","@type":"cr:Field","name":"midi_note"},{"dataType":["sc:Float"],"source":{"fileObject":{"@id":"recursive_continuity_dataset_codette.csv_fileobject"},"extract":{"column":"midi_frequency"}},"@id":"recursive_continuity_dataset_codette.csv/midi_frequency","@type":"cr:Field","name":"midi_frequency"},{"dataType":["sc:Float"],"source":{"fileObject":{"@id":"recursive_continuity_dataset_codette.csv_fileobject"},"extract":{"column":"intention"}},"@id":"recursive_continuity_dataset_codette.csv/intention","@type":"cr:Field","name":"intention"},{"dataType":["sc:Float"],"source":{"fileObject":{"@id":"recursive_continuity_dataset_codette.csv_fileobject"},"extract":{"column":"darkness"}},"@id":"recursive_continuity_dataset_codette.csv/darkness","@type":"cr:Field","name":"darkness"},{"dataType":["sc:Float"],"source":{"fileObject":{"@id":"recursive_continuity_dataset_codette.csv_fileobject"},"extract":{"column":"speed"}},"@id":"recursive_continuity_dataset_codette.csv/speed","@type":"cr:Field","name":"speed"},{"dataType":["sc:Float"],"source":{"fileObject":{"@id":"recursive_continuity_dataset_codette.csv_fileobject"},"extract":{"column":"gravity"}},"@id":"recursive_continuity_dataset_codette.csv/gravity","@type":"cr:Field","name":"gravity"},{"dataType":["sc:Float"],"source":{"fileObject":{"@id":"recursive_continuity_dataset_codette.csv_fileobject"},"extract":{"column":"delta_matter"}},"@id":"recursive_continuity_dataset_codette.csv/delta_matter","@type":"cr:Field","name":"delta_matter"},{"dataType":["sc:Float"],"source":{"fileObject":{"@id":"recursive_continuity_dataset_codette.csv_fileobject"},"extract":{"column":"psi_r"}},"@id":"recursive_continuity_dataset_codette.csv/psi_r","@type":"cr:Field","name":"psi_r"}],"@id":"recursive_continuity_dataset_codette.csv","@type":"cr:RecordSet","name":"recursive_continuity_dataset_codette.csv"}],"version":4,"keywords":["data type > synthetic","data type > multimodal data","technique > optimization","architecture > multiple","subject > science and technology > computer science > artificial intelligence"],"isAccessibleForFree":true,"includedInDataCatalog":{"@type":"sc:DataCatalog","name":"Kaggle","url":"https://www.kaggle.com"},"creator":{"@type":"sc:Person","name":"Jonathan Harrison","url":"/jonathanharrison1","image":"https://storage.googleapis.com/kaggle-avatars/thumbnails/default-thumb.png"},"publisher":{"@type":"sc:Organization","name":"Kaggle","url":"https://www.kaggle.com/organizations/kaggle","image":"https://storage.googleapis.com/kaggle-organizations/4/thumbnail.png"},"thumbnailUrl":"https://storage.googleapis.com/kaggle-datasets-images/9546231/14920382/2bd66994cad2cecc5033c54d02314889/dataset-card.png?t=2026-02-22-14-06-01","dateModified":"2026-02-22T13:54:44.303","datePublished":"2026-02-22T14:05:34.892865","@type":"sc:Dataset","name":"training data codette","url":"https://www.kaggle.com/datasets/jonathanharrison1/training-data-codette/versions/4","description":"Codettes training of the gpt-oss"}
3
+ ]