prompt stringlengths 665 627k | metadata stringlengths 286 56.7k | task stringclasses 25
values | dataset stringclasses 46
values |
|---|---|---|---|
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_14714", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_14714", "label": [], "labeled_data": [[["Foreign_18", "Foreign_35"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_10599", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_10599", "label": [], "labeled_data": [[["Foreign_12"], "Foreign_16... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_10291", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_10291", "label": [], "labeled_data": [[["Foreign_61", "Foreign_39"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_9107", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_9107", "label": [], "labeled_data": [[["Foreign_69", "Foreign_16"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_5720", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_5720", "label": [], "labeled_data": [[["Foreign_45", "Foreign_86", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_12164", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_12164", "label": [], "labeled_data": [[["Foreign_5", "Foreign_44"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_15921", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_15921", "label": [], "labeled_data": [[["Foreign_41", "Foreign_84"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_12986", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_12986", "label": [], "labeled_data": [[["Foreign_27", "Foreign_46"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_12874", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_12874", "label": [], "labeled_data": [[["Foreign_83", "B"], "Forei... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_10831", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_10831", "label": [], "labeled_data": [[["Foreign_66"], "Foreign_13... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_4429", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_4429", "label": [], "labeled_data": [[["Foreign_28", "Foreign_57", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_1876", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_1876", "label": [], "labeled_data": [[["Foreign_20", "Foreign_8", "... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_3339", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_3339", "label": [], "labeled_data": [[["Foreign_33"], "Foreign_61"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_6294", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_6294", "label": [], "labeled_data": [[["Foreign_5", "Foreign_37"], ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_10562", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_10562", "label": [], "labeled_data": [[["Foreign_11", "Foreign_32"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_3001", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_3001", "label": [], "labeled_data": [[["Foreign_23", "Foreign_20"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_10", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_10", "label": [], "labeled_data": [[["Foreign_78", "Foreign_55"], "Fo... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_13155", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_13155", "label": [], "labeled_data": [[["Foreign_39", "Foreign_92"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_16108", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_16108", "label": [], "labeled_data": [[["Foreign_5", "Foreign_28",... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_330", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_330", "label": [], "labeled_data": [[["Foreign_7", "Foreign_0"], "Fo... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_8953", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_8953", "label": [], "labeled_data": [[["Foreign_29"], "Foreign_24"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_1881", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_1881", "label": [], "labeled_data": [[["Foreign_63", "Foreign_41", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_14956", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_14956", "label": [], "labeled_data": [[["Foreign_38", "Foreign_45"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_14216", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_14216", "label": [], "labeled_data": [[["Foreign_25", "Foreign_0",... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_1926", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_1926", "label": [], "labeled_data": [[["Foreign_41", "Foreign_23"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_5453", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_5453", "label": [], "labeled_data": [[["Foreign_22"], "Foreign_13"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_8247", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_8247", "label": [], "labeled_data": [[["Foreign_1", "Foreign_9"], "... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_5021", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_5021", "label": [], "labeled_data": [[["Foreign_59"], "Foreign_31"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_14845", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_14845", "label": [], "labeled_data": [[["Foreign_15"], "Foreign_4"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_13628", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_13628", "label": [], "labeled_data": [[["Foreign_71", "Foreign_60"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_10796", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_10796", "label": [], "labeled_data": [[["Foreign_9", "Foreign_59",... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_15516", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_15516", "label": [], "labeled_data": [[["Foreign_81"], "Foreign_0"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_9589", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_9589", "label": [], "labeled_data": [[["Foreign_38"], "Foreign_2"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_7651", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_7651", "label": [], "labeled_data": [[["Foreign_2"], "Foreign_39"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_4022", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_4022", "label": [], "labeled_data": [[["Foreign_0", "Foreign_1"], "... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_16519", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_16519", "label": [], "labeled_data": [[["Foreign_86", "Foreign_91"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_13783", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_13783", "label": [], "labeled_data": [[["Foreign_1"], "Foreign_2"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_2711", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_2711", "label": [], "labeled_data": [[["Foreign_25", "Foreign_50", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_12851", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_12851", "label": [], "labeled_data": [[["Foreign_74", "Foreign_63"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_12883", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_12883", "label": [], "labeled_data": [[["Foreign_42", "Foreign_26"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_1329", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_1329", "label": [], "labeled_data": [[["Foreign_18", "Foreign_20", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_2111", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_2111", "label": [], "labeled_data": [[["Foreign_55", "Foreign_0", "... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_5174", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_5174", "label": [], "labeled_data": [[["Foreign_65", "Foreign_24"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_8565", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_8565", "label": [], "labeled_data": [[["Foreign_36", "Foreign_12"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_1167", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_1167", "label": [], "labeled_data": [[["Foreign_82", "Foreign_22", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_8992", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_8992", "label": [], "labeled_data": [[["Foreign_55", "Foreign_18"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_14047", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_14047", "label": [], "labeled_data": [[["Foreign_35", "Foreign_40"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_8203", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_8203", "label": [], "labeled_data": [[["Foreign_91"], "Foreign_16"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_2155", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_2155", "label": [], "labeled_data": [[["Foreign_41", "Foreign_7", "... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_12941", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_12941", "label": [], "labeled_data": [[["Foreign_44"], "Foreign_65... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_8445", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_8445", "label": [], "labeled_data": [[["Foreign_37", "Foreign_0"], ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_10125", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_10125", "label": [], "labeled_data": [[["Foreign_5", "Foreign_51"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_9285", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_9285", "label": [], "labeled_data": [[["Foreign_11", "Foreign_13"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_8022", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_8022", "label": [], "labeled_data": [[["Foreign_80"], "Foreign_13"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_2773", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_2773", "label": [], "labeled_data": [[["Foreign_47", "Foreign_38"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_9105", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_9105", "label": [], "labeled_data": [[["Foreign_18", "Foreign_62"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_12048", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_12048", "label": [], "labeled_data": [[["Foreign_9", "Foreign_11",... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_5244", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_5244", "label": [], "labeled_data": [[["Foreign_57", "Foreign_59", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_14856", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_14856", "label": [], "labeled_data": [[["Foreign_43", "Foreign_52"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_11149", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_11149", "label": [], "labeled_data": [[["Foreign_7", "Foreign_41"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_11355", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_11355", "label": [], "labeled_data": [[["Foreign_50", "Foreign_66"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_6285", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_6285", "label": [], "labeled_data": [[["Foreign_96"], "Foreign_34"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_1442", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_1442", "label": [], "labeled_data": [[["Foreign_87", "Foreign_14", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_6105", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_6105", "label": [], "labeled_data": [[["Foreign_85", "Foreign_84"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_3560", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_3560", "label": [], "labeled_data": [[["Foreign_68", "Foreign_19", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_16291", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_16291", "label": [], "labeled_data": [[["Foreign_39", "Foreign_15"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_8734", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_8734", "label": [], "labeled_data": [[["Foreign_36"], "Foreign_33"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_4457", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_4457", "label": [], "labeled_data": [[["Foreign_11", "Foreign_99"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_7127", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_7127", "label": [], "labeled_data": [[["Foreign_17", "Foreign_48", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_11661", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_11661", "label": [], "labeled_data": [[["Foreign_83", "Foreign_23"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_5686", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_5686", "label": [], "labeled_data": [[["Foreign_4", "Foreign_2", "F... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_9945", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_9945", "label": [], "labeled_data": [[["Foreign_89", "Foreign_59"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_15583", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_15583", "label": [], "labeled_data": [[["Foreign_21", "Foreign_23"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_979", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_979", "label": [], "labeled_data": [[["Foreign_22", "Foreign_19"], "... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_994", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_994", "label": [], "labeled_data": [[["Foreign_59", "Foreign_58", "F... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_3864", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_3864", "label": [], "labeled_data": [[["Foreign_67", "Foreign_12", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_10660", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_10660", "label": [], "labeled_data": [[["Foreign_24", "Foreign_60"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_9355", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_9355", "label": [], "labeled_data": [[["Foreign_93"], "Foreign_1"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_1197", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_1197", "label": [], "labeled_data": [[["Foreign_18", "Foreign_1", "... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_14528", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_14528", "label": [], "labeled_data": [[["Foreign_4", "Foreign_47",... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_12334", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_12334", "label": [], "labeled_data": [[["Foreign_83", "Foreign_30"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_8908", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_8908", "label": [], "labeled_data": [[["Foreign_58"], "Foreign_14"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_4681", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_4681", "label": [], "labeled_data": [[["Foreign_64", "Foreign_55"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_355", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_355", "label": [], "labeled_data": [[["Foreign_56", "Foreign_14", "F... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_3378", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_3378", "label": [], "labeled_data": [[["Foreign_67"], "Foreign_11"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_4162", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_4162", "label": [], "labeled_data": [[["Foreign_19"], "Foreign_14"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_11306", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_11306", "label": [], "labeled_data": [[["Foreign_21", "Foreign_84"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_11965", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_11965", "label": [], "labeled_data": [[["Foreign_50", "Foreign_26"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_3699", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_3699", "label": [], "labeled_data": [[["Foreign_3", "Foreign_5"], "... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_2219", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_2219", "label": [], "labeled_data": [[["Foreign_82", "Foreign_2", "... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_3844", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_3844", "label": [], "labeled_data": [[["Foreign_3"], "Foreign_11"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_15300", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_15300", "label": [], "labeled_data": [[["Foreign_24", "Foreign_6"]... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_10080", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_10080", "label": [], "labeled_data": [[["Foreign_70", "Foreign_46"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_15201", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_15201", "label": [], "labeled_data": [[["Foreign_42", "Foreign_97"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_1194", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_1194", "label": [], "labeled_data": [[["Foreign_84", "Foreign_56", ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_9653", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_9653", "label": [], "labeled_data": [[["Foreign_85", "Foreign_8"], ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_12226", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_12226", "label": [], "labeled_data": [[["Foreign_96", "Foreign_65"... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_9744", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_9744", "label": [], "labeled_data": [[["Foreign_65", "Foreign_17"],... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_1631", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_1631", "label": [], "labeled_data": [[["Foreign_73", "Foreign_9"], ... | String-Relationship | Auto-Relate |
You are given a table below, where some of the columns may be derived from other columns using string-based transformations (e.g., string split, concatenation, formatting, substring extraction, and pattern matching, etc.).
Your task is to identify string transformation relationships between the columns, by determinin... | {"task": "String-Relationship", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "Auto-Relate", "test_case": "case_8677", "case_path": "$MMTU_HOME/data/String-Relationship/sample1000-3shots/Auto-Relate/case_8677", "label": [], "labeled_data": [[["A", "Foreign_50"], "Foreign... | String-Relationship | Auto-Relate |
Subsets and Splits
Cisco Random Formula Prediction Case 166
Retrieves a specific subset of training data with particular task, dataset, and metadata conditions, but only returns raw examples without providing broader analytical insights.