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You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case11", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case11", "case": "Case11", "label": [["Garnet", "January"], ["Amethyst", "February"], ["Aqu... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case36", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case36", "case": "Case36", "label": [["Bill Gates", "United States"], ["Carlos Slim Helu", ... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case17", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case17", "case": "Case17", "label": [["Walmart", "Retail"], ["Royal Dutch Shell", "Petroleu... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case18", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case18", "case": "Case18", "label": [["Samsung Electronics", "Seoul, South Korea"], ["Apple... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case16", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case16", "case": "Case16", "label": [["Walmart", "United States"], ["Royal Dutch Shell", "N... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case22", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case22", "case": "Case22", "label": [["Michael Jackson's This Is It", "Columbia Pictures"],... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case2", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case2", "case": "Case2", "label": [["Parnate", "tranylcypromine"], ["Nardil", "phenelzine"],... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case27", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case27", "case": "Case27", "label": [["Super Mario 3D Land", "Nintendo"], ["Mario Kart 7", ... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case21", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case21", "case": "Case21", "label": [["The Godfather", 1972], ["Fight Club", 1999], ["The L... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case30", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case30", "case": "Case30", "label": [["Boston Celtics", "Atlantic"], ["Brooklyn Nets", "Atl... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case31", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case31", "case": "Case31", "label": [["Boston Celtics", "TD Garden"], ["Brooklyn Nets", "Ba... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case23", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case23", "case": "Case23", "label": [["Mauritania", "ouguiya"], ["China", "yuan"], ["Afghan... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case42", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case42", "case": "Case42", "label": [["England", "Tudor rose"], ["Nepal", "Rhododendron"], ... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case19", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case19", "case": "Case19", "label": [["CHENIERE ENERGY INC", "Charif Souki"], ["GAMCO INVES... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case25", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case25", "case": "Case25", "label": [["Hartsfield-Jackson Atlanta International Airport", "... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case32", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case32", "case": "Case32", "label": [["Washington Redskins", "Maryland"], ["New York Jets",... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case20", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case20", "case": "Case20", "label": [["LNG", "CHENIERE ENERGY INC"], ["GBL", "GAMCO INVESTO... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case28", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case28", "case": "Case28", "label": [["ABBA Gold: Greatest Hits", "ABBA"], ["Backstreet's B... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case44", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case44", "case": "Case44", "label": [["Lambert\u2013St. Louis International Airport", "MO"]... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case26", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case26", "case": "Case26", "label": [["Hartsfield-Jackson Atlanta International Airport", "... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case43", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case43", "case": "Case43", "label": [["John Adams", "George Washington"], ["Thomas Jefferso... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case10", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case10", "case": "Case10", "label": [["Afghanistan", "Kabul"], ["Albania", "Tirane"], ["Alg... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case45", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case45", "case": "Case45", "label": [["Mount Vesuvius", "Italy"], ["Krakatoa", "Indonesia"]... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case1", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case1", "case": "Case1", "label": [["Algeria", "Africa"], ["Angola", "Africa"], ["Benin", "A... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case49", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case49", "case": "Case49", "label": [["Mimas", "Saturn"], ["Enceladus", "Saturn"], ["Mirand... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case24", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case24", "case": "Case24", "label": [["Abkhazian", "AB"], ["Afar", "AA"], ["Afrikaans", "AF... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case41", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case41", "case": "Case41", "label": [["Toronto", "Ontario"], ["Montreal", "Quebec"], ["Calg... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case46", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case46", "case": "Case46", "label": [["George Washington", "Martha Washington"], ["John Ada... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case3", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case3", "case": "Case3", "label": [["Ac", "Actinium"], ["Ag", "Silver"], ["Al", "Aluminium"]... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case48", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case48", "case": "Case48", "label": [["Al Hirschfeld Theatre", "Jujamcyn Theaters"], ["Amba... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case37", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case37", "case": "Case37", "label": [["Bill Gates", "Microsoft"], ["Carlos Slim Helu", "Tel... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case34", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case34", "case": "Case34", "label": [["Toyota", "Japan"], ["GM", "United States"], ["Volksw... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case15", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case15", "case": "Case15", "label": [["Afghanistan", "AFG"], ["Albania", "ALB"], ["Algeria"... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case33", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case33", "case": "Case33", "label": [["Washington Redskins", "FedEx Field"], ["New York Jet... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case35", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case35", "case": "Case35", "label": [["Emirates Airline", "United Arab Emirates"], ["Qatar ... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case6", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case6", "case": "Case6", "label": [["Zachary Taylor", "Virginia"], ["Warren G. Harding", "Oh... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case13", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case13", "case": "Case13", "label": [["Afghanistan", "93"], ["Albania", "355"], ["Algeria",... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case5", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case5", "case": "Case5", "label": [["Montgomery", "Alabama"], ["Juneau", "Alaska"], ["Phoeni... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case38", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case38", "case": "Case38", "label": [["ICBC", "China"], ["China Construction Bank", "China"... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case50", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case50", "case": "Case50", "label": [["Jameis Winston", "Florida State"], ["Robert Griffin ... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case7", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case7", "case": "Case7", "label": [["Alabama", "AL"], ["Alaska", "AK"], ["Arizona", "AZ"], [... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case40", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case40", "case": "Case40", "label": [["New York", "New York"], ["Los Angeles", "California"... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case4", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case4", "case": "Case4", "label": [["Princess almost there", "The Princess and the Frog"], [... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case14", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case14", "case": "Case14", "label": [["Afghanistan", "AF"], ["Albania", "AL"], ["Algeria", ... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case39", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case39", "case": "Case39", "label": [["Harvard University", "US"], ["Massachusetts Institut... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case29", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case29", "case": "Case29", "label": [["Albany Law School Of Union University", "New York"],... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case47", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case47", "case": "Case47", "label": [["USS Abraham Lincoln", "Nimitz"], ["USS Alabama", "Oh... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case8", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case8", "case": "Case8", "label": [["Ammonia", "NH3"], ["Carbon dioxide", "CO2"], ["Carbon m... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case9", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case9", "case": "Case9", "label": [["AIB College of Business", "Iowa"], ["Abilene Christian ... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "SEMA-join", "test_case": "Case12", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/SEMA-join/Case12", "case": "Case12", "label": [["AIB College of Business", "Des Moines"], ["Abilene C... | semantic-join | SEMA-join |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "AsciiToUnicode", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/AsciiToUnicode", "case": "AsciiToUnicode", "label": [["#", 35], ["(", 40], ["3"... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "IPToCountry", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/IPToCountry", "case": "IPToCountry", "label": [["128.31.34.154", "United States"],... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "CompanyToBloombergID", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/CompanyToBloombergID", "case": "CompanyToBloombergID", "label": [["Amazon... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "ISBNToTitle", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/ISBNToTitle", "case": "ISBNToTitle", "label": [["0-553-10354-7", "A Game of throne... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "City2LongLat", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/City2LongLat", "case": "City2LongLat", "label": [["Rotterdam", "51.924420/4.47773... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "shoesizeUSEUR", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/shoesizeUSEUR", "case": "shoesizeUSEUR", "label": [[6.0, 38.0], [6.5, 38.7], [7.... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "fahrenheitToCelcius", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/fahrenheitToCelcius", "case": "fahrenheitToCelcius", "label": [[32.0, 0.0]... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "Driver2Champioships", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/Driver2Champioships", "case": "Driver2Champioships", "label": [["Michael S... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "PoundsToKg", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/PoundsToKg", "case": "PoundsToKg", "label": [[1.0, 0.45], [70.0, 31.75], [99.0, 44.... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "SymbolToCompanyName", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/SymbolToCompanyName", "case": "SymbolToCompanyName", "label": [["AMZN", "A... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "UniversityTostate", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/UniversityTostate", "case": "UniversityTostate", "label": [["California Inst... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "CompanyToCeo", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/CompanyToCeo", "case": "CompanyToCeo", "label": [["Oracle", "Larry Ellison"], ["I... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "Person2Spouses", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/Person2Spouses", "case": "Person2Spouses", "label": [["Tom Cruise", "Mimi Roger... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "ZipToState", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/ZipToState", "case": "ZipToState", "label": [[75657, "TX"], [76825, "TX"], [45052, ... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "CountryToLanguage", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/CountryToLanguage", "case": "CountryToLanguage", "label": [["Portugal", "Por... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "AnimalToGenusSpeciesCommonNames", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/AnimalToGenusSpeciesCommonNames", "case": "AnimalToGenusSpecie... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "SoccerPlayer2NationalTeam", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/SoccerPlayer2NationalTeam", "case": "SoccerPlayer2NationalTeam", "la... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "GregorianToHijri", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/GregorianToHijri", "case": "GregorianToHijri", "label": [["1/1/15", "03/10/14... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "IPToDomain", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/IPToDomain", "case": "IPToDomain", "label": [["128.31.34.154", "csail.mit.edu"], ["... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "ISSNToTitle", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/ISSNToTitle", "case": "ISSNToTitle", "label": [["1066-8888", "The VLDB Journal"], ... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "WorldRecordToAthlete", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/WorldRecordToAthlete", "case": "WorldRecordToAthlete", "label": [["Ethiop... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "CityToCountry", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/CityToCountry", "case": "CityToCountry", "label": [["Rotterdam", "Netherlands"],... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "SoccerplayerToAllclub", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/SoccerplayerToAllclub", "case": "SoccerplayerToAllclub", "label": [["Ney... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "Author2Novels", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/Author2Novels", "case": "Author2Novels", "label": [["Jonathan Franzen", "The Twe... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "airportToCountry", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/airportToCountry", "case": "airportToCountry", "label": [["lax", "United Stat... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "SoccerPlayer2Birthdate", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/SoccerPlayer2Birthdate", "case": "SoccerPlayer2Birthdate", "label": [["... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "Mountain7k2Countries", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/Mountain7k2Countries", "case": "Mountain7k2Countries", "label": [["Kangch... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "ElementToBP", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/ElementToBP", "case": "ElementToBP", "label": [["Actinium", 3200], ["Aluminum", 24... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "CompanyToIndustry", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/CompanyToIndustry", "case": "CompanyToIndustry", "label": [["Oracle", "IT So... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "Movie2year", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/Movie2year", "case": "Movie2year", "label": [["Platoon", 1986], ["American Beauty",... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "ISBNToAuthor", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/ISBNToAuthor", "case": "ISBNToAuthor", "label": [["0-553-10354-7", "George R. R. ... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "HexCodeToRGB", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/HexCodeToRGB", "case": "HexCodeToRGB", "label": [["#ffb6c1", "(255182193)"], ["#3... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "City2TallBuildings", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/City2TallBuildings", "case": "City2TallBuildings", "label": [["New York Cit... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "AthletesHoldingWorldRecordsPerCountry", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/AthletesHoldingWorldRecordsPerCountry", "case": "Athlete... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "MountainsOver7k2feet", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/MountainsOver7k2feet", "case": "MountainsOver7k2feet", "label": [["Everes... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "TeamToCoach", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/TeamToCoach", "case": "TeamToCoach", "label": [["Golden State Warriors", "Mark Jac... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "soccerTeam2Arena", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/soccerTeam2Arena", "case": "soccerTeam2Arena", "label": [["Real Madrid C.F.",... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "USStandardToMetric", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/USStandardToMetric", "case": "USStandardToMetric", "label": [["feet", "mete... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "Lake2Countries", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/Lake2Countries", "case": "Lake2Countries", "label": [["Albert", "Democratic Rep... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "CountryToThreeLettersISOCode", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/CountryToThreeLettersISOCode", "case": "CountryToThreeLettersISOC... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "CharToAscii", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/CharToAscii", "case": "CharToAscii", "label": [["U+0041", 65], ["U+0042", 66], ["U... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "Continent2Countries", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/Continent2Countries", "case": "Continent2Countries", "label": [["Africa", ... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "ElementToSymbol", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/ElementToSymbol", "case": "ElementToSymbol", "label": [["Ac", "Actinium"], ["A... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "Country2Mountains7k", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/Country2Mountains7k", "case": "Country2Mountains7k", "label": [["India", "... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "CountriesToContinents", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/CountriesToContinents", "case": "CountriesToContinents", "label": [["Alg... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "CUSIPToCompanyName", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/CUSIPToCompanyName", "case": "CUSIPToCompanyName", "label": [["23135106", "... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "EnglishToGerman", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/EnglishToGerman", "case": "EnglishToGerman", "label": [["Hello", "Hallo"], ["s... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "MountainsOver7k2meters", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/MountainsOver7k2meters", "case": "MountainsOver7k2meters", "label": [["... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "CountryToCitizen", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/CountryToCitizen", "case": "CountryToCitizen", "label": [["Portugal", "Portug... | semantic-join | DataXFormer |
You are given two input tables below. Your task is to identify the most likely semantic relationships between values of these two columns, and then output pairs of values from Table 1 and Table 2, that can be joined/linked based on the inferred semantic relationships.
No explanation is needed, only return your answer... | {"task": "semantic-join", "version": "1.0_sample1000_markdown", "tag": "1.0_sample1000_markdown", "note": "", "dataset": "DataXFormer", "test_case": "ISBNToPublisher", "case_path": "$MMTU_HOME/data/semantic-join/sample1000-3shots/DataXFormer/ISBNToPublisher", "case": "ISBNToPublisher", "label": [["0-553-10354-7", "Bant... | semantic-join | DataXFormer |
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.