seeaman/economic-index-structured huggingface dataset:
Task: analyze market conditions to determine optimum times to execute securities transactions.
Collaboration pattern: directive (100 conversations, 46.948356807511736% of this task's usage)
Task: analyze market conditions to determine optimum times to execute securities transactions.
Collaboration pattern: learning (45 conversations, 21.12676056338028% of this task's usage)
Task: analyze market conditions to determine optimum times to execute securities transactions.
Collaboration pattern: task iteration (36 conversations, 16.901408450704224% of this task's usage)
Task: analyze market conditions to determine optimum times to execute securities transactions.
Collaboration pattern: validation (18 conversations, 8.450704225352112% of this task's usage)
Task: analyze network data to determine network usage, disk space availability, or server function.
Collaboration pattern: directive (20 conversations, 41.66666666666667% of this task's usage)
Task: analyze network data to determine network usage, disk space availability, or server function.
Collaboration pattern: learning (17 conversations, 35.41666666666667% of this task's usage)
Task: analyze operations to evaluate performance of a company or its staff in meeting objectives or to determine areas of potential cost reduction, program improvement, or policy change.
Collaboration pattern: directive (530 conversations, 30.939871570344422% of this task's usage)
Task: analyze operations to evaluate performance of a company or its staff in meeting objectives or to determine areas of potential cost reduction, program improvement, or policy change.
Collaboration pattern: feedback loop (75 conversations, 4.378283712784588% of this task's usage)
Task: analyze operations to evaluate performance of a company or its staff in meeting objectives or to determine areas of potential cost reduction, program improvement, or policy change.
Collaboration pattern: learning (268 conversations, 15.645067133683597% of this task's usage)
Task: analyze operations to evaluate performance of a company or its staff in meeting objectives or to determine areas of potential cost reduction, program improvement, or policy change.
Collaboration pattern: task iteration (600 conversations, 35.02626970227671% of this task's usage)
Task: analyze operations to evaluate performance of a company or its staff in meeting objectives or to determine areas of potential cost reduction, program improvement, or policy change.
Collaboration pattern: validation (194 conversations, 11.325160537069468% of this task's usage)
Task: analyze or interpret logistics data involving customer service, forecasting, procurement, manufacturing, inventory, transportation, or warehousing.
Collaboration pattern: directive (18 conversations, 42.85714285714285% of this task's usage)
Task: analyze or synthesize client data to draw conclusions or make recommendations for therapy.
Collaboration pattern: directive (52 conversations, 49.523809523809526% of this task's usage)
Task: analyze or synthesize client data to draw conclusions or make recommendations for therapy.
Collaboration pattern: learning (25 conversations, 23.809523809523807% of this task's usage)
Task: analyze or synthesize client data to draw conclusions or make recommendations for therapy.
Collaboration pattern: task iteration (21 conversations, 20% of this task's usage)
Task: analyze organic or inorganic compounds to determine chemical or physical properties, composition, structure, relationships, or reactions, using chromatography, spectroscopy, or spectrophotometry techniques.
Collaboration pattern: directive (668 conversations, 27.143437626980905% of this task's usage)
Task: analyze organic or inorganic compounds to determine chemical or physical properties, composition, structure, relationships, or reactions, using chromatography, spectroscopy, or spectrophotometry techniques.
Collaboration pattern: feedback loop (91 conversations, 3.6976838683462008% of this task's usage)
Task: analyze organic or inorganic compounds to determine chemical or physical properties, composition, structure, relationships, or reactions, using chromatography, spectroscopy, or spectrophotometry techniques.
Collaboration pattern: learning (1237 conversations, 50.26412027631044% of this task's usage)
Task: analyze organic or inorganic compounds to determine chemical or physical properties, composition, structure, relationships, or reactions, using chromatography, spectroscopy, or spectrophotometry techniques.
Collaboration pattern: task iteration (282 conversations, 11.458756603006908% of this task's usage)
Task: analyze organic or inorganic compounds to determine chemical or physical properties, composition, structure, relationships, or reactions, using chromatography, spectroscopy, or spectrophotometry techniques.
Collaboration pattern: validation (155 conversations, 6.298252742787485% of this task's usage)
Task: analyze organizational, occupational, and industrial data to facilitate organizational functions and provide technical information to business, industry, and government.
Collaboration pattern: directive (312 conversations, 31.901840490797547% of this task's usage)
Task: analyze organizational, occupational, and industrial data to facilitate organizational functions and provide technical information to business, industry, and government.
Collaboration pattern: feedback loop (35 conversations, 3.5787321063394684% of this task's usage)
Task: analyze organizational, occupational, and industrial data to facilitate organizational functions and provide technical information to business, industry, and government.
Collaboration pattern: learning (423 conversations, 43.25153374233129% of this task's usage)
Task: analyze organizational, occupational, and industrial data to facilitate organizational functions and provide technical information to business, industry, and government.
Collaboration pattern: task iteration (91 conversations, 9.304703476482617% of this task's usage)
Task: analyze organizational, occupational, and industrial data to facilitate organizational functions and provide technical information to business, industry, and government.
Collaboration pattern: validation (81 conversations, 8.282208588957054% of this task's usage)
Task: analyze patrons' hair and other physical features to determine and recommend beauty treatment or suggest hair styles.
Collaboration pattern: directive (69 conversations, 34.84848484848485% of this task's usage)
Task: analyze patrons' hair and other physical features to determine and recommend beauty treatment or suggest hair styles.
Collaboration pattern: feedback loop (15 conversations, 7.575757575757576% of this task's usage)
Task: analyze patrons' hair and other physical features to determine and recommend beauty treatment or suggest hair styles.
Collaboration pattern: learning (40 conversations, 20.2020202020202% of this task's usage)
Task: analyze patrons' hair and other physical features to determine and recommend beauty treatment or suggest hair styles.
Collaboration pattern: task iteration (54 conversations, 27.27272727272727% of this task's usage)
Task: analyze patrons' hair and other physical features to determine and recommend beauty treatment or suggest hair styles.
Collaboration pattern: validation (17 conversations, 8.585858585858585% of this task's usage)
Task: analyze patrons' requests to determine needed information and assist in furnishing or locating that information.
Collaboration pattern: directive (140 conversations, 27.237354085603112% of this task's usage)
Task: analyze patrons' requests to determine needed information and assist in furnishing or locating that information.
Collaboration pattern: learning (308 conversations, 59.92217898832685% of this task's usage)
Task: analyze patrons' requests to determine needed information and assist in furnishing or locating that information.
Collaboration pattern: task iteration (28 conversations, 5.447470817120623% of this task's usage)
Task: analyze performance data to determine effectiveness of instructional systems, courses, or instructional materials.
Collaboration pattern: directive (32 conversations, 49.23076923076923% of this task's usage)
Task: analyze physical findings and medical histories to make diagnoses according to oriental medicine traditions.
Collaboration pattern: learning (22 conversations, 64.70588235294117% of this task's usage)
Task: analyze potential loan markets to find opportunities to promote loans and financial services.
Collaboration pattern: directive (36 conversations, 41.37931034482759% of this task's usage)
Task: analyze potential loan markets to find opportunities to promote loans and financial services.
Collaboration pattern: learning (22 conversations, 25.287356321839084% of this task's usage)
Task: analyze potential loan markets to find opportunities to promote loans and financial services.
Collaboration pattern: task iteration (20 conversations, 22.988505747126435% of this task's usage)
Task: analyze price proposals, financial reports, and other data and information to determine reasonable prices.
Collaboration pattern: directive (20 conversations, 28.98550724637681% of this task's usage)
Task: analyze price proposals, financial reports, and other data and information to determine reasonable prices.
Collaboration pattern: learning (15 conversations, 21.73913043478261% of this task's usage)
Task: analyze price proposals, financial reports, and other data and information to determine reasonable prices.
Collaboration pattern: task iteration (16 conversations, 23.18840579710145% of this task's usage)
Task: analyze price proposals, financial reports, and other data and information to determine reasonable prices.
Collaboration pattern: validation (16 conversations, 23.18840579710145% of this task's usage)
Task: analyze problems to develop solutions involving computer hardware and software.
Collaboration pattern: directive (58 conversations, 29.292929292929298% of this task's usage)
Task: analyze problems to develop solutions involving computer hardware and software.
Collaboration pattern: learning (80 conversations, 40.4040404040404% of this task's usage)
Task: analyze problems to develop solutions involving computer hardware and software.
Collaboration pattern: task iteration (37 conversations, 18.68686868686869% of this task's usage)
Task: analyze recipes to assign prices to menu items, based on food, labor, and overhead costs.
Collaboration pattern: directive (34 conversations, 50.74626865671642% of this task's usage)
Task: analyze recipes to assign prices to menu items, based on food, labor, and overhead costs.
Collaboration pattern: task iteration (23 conversations, 34.32835820895522% of this task's usage)
Task: analyze records, reports, test results, or examination information to diagnose medical condition of patient.
Collaboration pattern: directive (180 conversations, 23.591087811271297% of this task's usage)
Task: analyze records, reports, test results, or examination information to diagnose medical condition of patient.
Collaboration pattern: feedback loop (33 conversations, 4.3250327653997385% of this task's usage)
Task: analyze records, reports, test results, or examination information to diagnose medical condition of patient.
Collaboration pattern: learning (451 conversations, 59.10878112712975% of this task's usage)
Task: analyze records, reports, test results, or examination information to diagnose medical condition of patient.
Collaboration pattern: task iteration (43 conversations, 5.6356487549148095% of this task's usage)
Task: analyze records, reports, test results, or examination information to diagnose medical condition of patient.
Collaboration pattern: validation (50 conversations, 6.553079947575361% of this task's usage)
Task: analyze research data to determine its significance, using computers.
Collaboration pattern: directive (104 conversations, 30.4093567251462% of this task's usage)
Task: analyze research data to determine its significance, using computers.
Collaboration pattern: feedback loop (30 conversations, 8.771929824561402% of this task's usage)
Task: analyze research data to determine its significance, using computers.
Collaboration pattern: learning (97 conversations, 28.362573099415204% of this task's usage)
Task: analyze research data to determine its significance, using computers.
Collaboration pattern: task iteration (58 conversations, 16.95906432748538% of this task's usage)
Task: analyze research data to determine its significance, using computers.
Collaboration pattern: validation (45 conversations, 13.157894736842104% of this task's usage)
Task: analyze system performance or operational requirements.
Collaboration pattern: directive (205 conversations, 17.82608695652174% of this task's usage)
Task: analyze system performance or operational requirements.
Collaboration pattern: feedback loop (166 conversations, 14.43478260869565% of this task's usage)
Task: analyze system performance or operational requirements.
Collaboration pattern: learning (541 conversations, 47.04347826086956% of this task's usage)
Task: analyze system performance or operational requirements.
Collaboration pattern: task iteration (116 conversations, 10.08695652173913% of this task's usage)
Task: analyze system performance or operational requirements.
Collaboration pattern: validation (99 conversations, 8.608695652173912% of this task's usage)
Task: analyze target companies or investment opportunities to inform investment decisions.
Collaboration pattern: directive (306 conversations, 55.53539019963702% of this task's usage)
Task: analyze target companies or investment opportunities to inform investment decisions.
Collaboration pattern: learning (86 conversations, 15.60798548094374% of this task's usage)
Task: analyze target companies or investment opportunities to inform investment decisions.
Collaboration pattern: task iteration (111 conversations, 20.14519056261343% of this task's usage)
Task: analyze target companies or investment opportunities to inform investment decisions.
Collaboration pattern: validation (32 conversations, 5.807622504537205% of this task's usage)
Task: analyze technology trends to identify markets for future product development or to improve sales of existing products.
Collaboration pattern: directive (16 conversations, 32.6530612244898% of this task's usage)
Task: analyze technology trends to identify markets for future product development or to improve sales of existing products.
Collaboration pattern: learning (17 conversations, 34.69387755102041% of this task's usage)
Task: analyze technology trends to identify markets for future product development or to improve sales of existing products.
Collaboration pattern: task iteration (15 conversations, 30.612244897959183% of this task's usage)
Task: analyze test data, making computations as necessary, to determine test results.
Collaboration pattern: directive (285 conversations, 37.157757496740544% of this task's usage)
Task: analyze test data, making computations as necessary, to determine test results.
Collaboration pattern: feedback loop (90 conversations, 11.734028683181226% of this task's usage)
Task: analyze test data, making computations as necessary, to determine test results.
Collaboration pattern: learning (131 conversations, 17.07953063885267% of this task's usage)
Task: analyze test data, making computations as necessary, to determine test results.
Collaboration pattern: task iteration (133 conversations, 17.340286831812254% of this task's usage)
Task: analyze test data, making computations as necessary, to determine test results.
Collaboration pattern: validation (112 conversations, 14.602346805736635% of this task's usage)
Task: analyze the effectiveness of marketing tactics or channels.
Collaboration pattern: directive (22 conversations, 41.50943396226416% of this task's usage)
Task: analyze the financial details of past, present, and expected operations to identify development opportunities and areas where improvement is needed.
Collaboration pattern: directive (38 conversations, 35.51401869158878% of this task's usage)
Task: analyze the financial details of past, present, and expected operations to identify development opportunities and areas where improvement is needed.
Collaboration pattern: learning (15 conversations, 14.018691588785046% of this task's usage)
Task: analyze the financial details of past, present, and expected operations to identify development opportunities and areas where improvement is needed.
Collaboration pattern: task iteration (38 conversations, 35.51401869158878% of this task's usage)
Task: analyze the layout, instrumentation, or function of electrical generation or transmission facilities.
Collaboration pattern: directive (49 conversations, 29.8780487804878% of this task's usage)
Task: analyze the layout, instrumentation, or function of electrical generation or transmission facilities.
Collaboration pattern: learning (53 conversations, 32.31707317073171% of this task's usage)
Task: analyze the layout, instrumentation, or function of electrical generation or transmission facilities.
Collaboration pattern: task iteration (39 conversations, 23.78048780487805% of this task's usage)
Task: analyze training needs to develop new training programs or modify and improve existing programs.
Collaboration pattern: directive (30 conversations, 44.776119402985074% of this task's usage)
Task: analyze training needs to develop new training programs or modify and improve existing programs.
Collaboration pattern: task iteration (24 conversations, 35.82089552238806% of this task's usage)
Task: analyze trends in sales prices, construction costs, and rents, to assess property values or determine the accuracy of assessments.
Collaboration pattern: directive (40 conversations, 45.97701149425287% of this task's usage)
Task: analyze trends in sales prices, construction costs, and rents, to assess property values or determine the accuracy of assessments.
Collaboration pattern: task iteration (28 conversations, 32.18390804597701% of this task's usage)
Task: analyze user needs and recommend appropriate hardware.
Collaboration pattern: directive (40 conversations, 40.4040404040404% of this task's usage)
Task: analyze user needs and recommend appropriate hardware.
Collaboration pattern: task iteration (37 conversations, 37.37373737373738% of this task's usage)
Task: analyze user needs and software requirements to determine feasibility of design within time and cost constraints.
Collaboration pattern: directive (2301 conversations, 31.090393190109445% of this task's usage)
Task: analyze user needs and software requirements to determine feasibility of design within time and cost constraints.
Collaboration pattern: feedback loop (174 conversations, 2.351033644102148% of this task's usage)
Task: analyze user needs and software requirements to determine feasibility of design within time and cost constraints.
Collaboration pattern: learning (2648 conversations, 35.77894879070396% of this task's usage)
Task: analyze user needs and software requirements to determine feasibility of design within time and cost constraints.
Collaboration pattern: task iteration (1730 conversations, 23.375219564923658% of this task's usage)
Task: analyze user needs and software requirements to determine feasibility of design within time and cost constraints.
Collaboration pattern: validation (383 conversations, 5.174976354546683% of this task's usage)
Task: analyze, interpret, or create graphical representations of energy data, using engineering software.
Collaboration pattern: directive (102 conversations, 38.63636363636363% of this task's usage)
Task: analyze, interpret, or create graphical representations of energy data, using engineering software.
Collaboration pattern: feedback loop (31 conversations, 11.742424242424242% of this task's usage)
Task: analyze, interpret, or create graphical representations of energy data, using engineering software.
Collaboration pattern: learning (59 conversations, 22.348484848484848% of this task's usage)
Task: analyze, interpret, or create graphical representations of energy data, using engineering software.
Collaboration pattern: task iteration (49 conversations, 18.560606060606062% of this task's usage)
Task: analyze, interpret, or create graphical representations of energy data, using engineering software.
Collaboration pattern: validation (17 conversations, 6.4393939393939394% of this task's usage)
Task: analyze, interpret, or disseminate system performance data.
Collaboration pattern: directive (99 conversations, 19.565217391304348% of this task's usage)
Task: analyze, interpret, or disseminate system performance data.
Collaboration pattern: feedback loop (77 conversations, 15.217391304347828% of this task's usage)
Task: analyze, interpret, or disseminate system performance data.
Collaboration pattern: learning (252 conversations, 49.80237154150198% of this task's usage)
Task: analyze, interpret, or disseminate system performance data.
Collaboration pattern: task iteration (37 conversations, 7.312252964426877% of this task's usage)
Task: analyze, interpret, or disseminate system performance data.
Collaboration pattern: validation (30 conversations, 5.928853754940711% of this task's usage)
Task: answer applicants' questions about benefits and claim procedures.
Collaboration pattern: directive (40 conversations, 30.53435114503817% of this task's usage)
Task: answer applicants' questions about benefits and claim procedures.
Collaboration pattern: learning (79 conversations, 60.30534351145038% of this task's usage)
Task: answer clients' questions about the purposes and details of financial plans and strategies.
Collaboration pattern: directive (49 conversations, 23.11320754716981% of this task's usage)
Task: answer clients' questions about the purposes and details of financial plans and strategies.
Collaboration pattern: learning (102 conversations, 48.11320754716981% of this task's usage)
Task: answer clients' questions about the purposes and details of financial plans and strategies.
Collaboration pattern: task iteration (34 conversations, 16.037735849056602% of this task's usage)
Task: answer clients' questions about the purposes and details of financial plans and strategies.
Collaboration pattern: validation (17 conversations, 8.018867924528301% of this task's usage)
Task: answer customer inquiries or explain cost, availability, policies, and procedures of facilities.
Collaboration pattern: directive (48 conversations, 47.05882352941176% of this task's usage)
Task: answer customer inquiries or explain cost, availability, policies, and procedures of facilities.
Collaboration pattern: learning (30 conversations, 29.411764705882355% of this task's usage)
Task: answer customers' questions about merchandise and advise customers on merchandise selection.
Collaboration pattern: directive (105 conversations, 47.511312217194565% of this task's usage)
Task: answer customers' questions about merchandise and advise customers on merchandise selection.
Collaboration pattern: learning (42 conversations, 19.004524886877828% of this task's usage)
Task: answer customers' questions about merchandise and advise customers on merchandise selection.
Collaboration pattern: task iteration (62 conversations, 28.054298642533936% of this task's usage)
Task: answer customers' questions about products, prices, availability, or credit terms.
Collaboration pattern: directive (998 conversations, 40.85141219811707% of this task's usage)
Task: answer customers' questions about products, prices, availability, or credit terms.
Collaboration pattern: feedback loop (73 conversations, 2.988129349160868% of this task's usage)
Task: answer customers' questions about products, prices, availability, or credit terms.
Collaboration pattern: learning (812 conversations, 33.2378223495702% of this task's usage)
Task: answer customers' questions about products, prices, availability, or credit terms.
Collaboration pattern: task iteration (313 conversations, 12.812116250511666% of this task's usage)
Task: answer customers' questions about products, prices, availability, or credit terms.
Collaboration pattern: validation (47 conversations, 1.9238641015145312% of this task's usage)