Datasets:
jsonifize
/
JsonJuggernugget

Dataset card Data Studio Files Community
1
text
stringlengths
13
30k
{"task": "02387ed5_development__Rapidsoft_Systems__Customer_Needs", "input": "[Rapidsoft Solution] Rapidsoft Systems provide full protection of our customer's IPRs. We even tell you when to file an IPR if believe that certain technology developed by us for you can be patented. [Customer Needs] ", "output": "IPR Protection", "options": [], "pageTitle": "Outsourced Software Developement Company, iPhone Software Development, Android Software development, Mobile Software Development, Web Software, E-commerce Software, Security Software, Ecommerce Software, Blackberry Software, Offshore development: Rapidsoft Systems", "outputColName": "Customer Needs", "url": "http://www.rapidsoftsystems.com/advantage-rapidsoft-differentiator.html", "wdcFile": "11/1438042988048.90_20150728002308-00299-ip-10-236-191-2_660705600_1.json"}
{"tripleset": [["First Clearing", "LOCATION", "On NYS 52 1 Mi. Youngsville"], ["On NYS 52 1 Mi. Youngsville", "CITY_OR_TOWN", "Callicoon, New York"]], "subtree_was_extended": false, "annotations": {"source": ["WikiTableQuestions_mturk"], "text": ["First Clearing\tbased on Callicoon, New York and location at On NYS 52 1 Mi. Youngsville"]}}
{"tripleset": [["[TABLECONTEXT]", "MARKER_NAME", "Old Turnpike"], ["[TABLECONTEXT]", "[TITLE]", "List of New York State Historic Markers in Sullivan County, New York"]], "subtree_was_extended": true, "annotations": {"source": ["WikiTableQuestions_mturk"], "text": ["Old Turnpike is a Historic Marker in Sullivan County, New York."]}}
{"tripleset": [["5", "STADIUM", "shea stadium"]], "subtree_was_extended": false, "annotations": {"source": ["WikiSQL_decl_sents"], "text": ["The week 5 game is played in Shea Stadium."]}}
{"tripleset": [["Northwestern College", "NICKNAME", "Red Raiders"], ["Northwestern College", "LOCATION", "Orange City, Iowa"]], "subtree_was_extended": true, "annotations": {"source": ["WikiSQL_decl_sents"], "text": ["The team whose nickname is red raiders is located in the orange city, iowa"]}}
{"tripleset": [["University of Mississippi", "NEW_CONFERENCE", "SELC"]], "subtree_was_extended": false, "annotations": {"source": ["WikiSQL_decl_sents"], "text": ["University of mississippi was in the selc new conference."]}}
{"tripleset": [["University of Mississippi", "NEW_CLASSIFICATION", "MCLA Division I"], ["University of Mississippi", "YEARS", "2008-2009"]], "subtree_was_extended": true, "annotations": {"source": ["WikiSQL_decl_sents"], "text": ["The years that the new classification was MCLA division i are 2008-2009."]}}
{"tripleset": [["University of Nebraska at Omaha", "NICKNAME", "Mavericks"]], "subtree_was_extended": false, "annotations": {"source": ["WikiSQL_decl_sents"], "text": ["The nickname of the team of University of Nebraska at Omaha is mavericks."]}}
{"tripleset": [["William Wasmund", "FIELD_GOALS", "0"], ["William Wasmund", "EXTRA_POINTS", "0"], ["William Wasmund", "POINTS", "5"], ["William Wasmund", "TOUCHDOWNS", "1"]], "subtree_was_extended": false, "annotations": {"source": ["WikiSQL_decl_sents"], "text": ["William Wasmund scored 5.0 points"]}}
{"feat_Unnamed: 0": 30, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Et tu, Brute? Then fall, Carmax\r\nOutput: Et tu, Brute? Then fall,", "classes": [" Caesar", " Carmax"], "target": 1, "evaluation_predictions": [-11.606215476989746, -6.849839210510254, -7.207440376281738, -1.9138683080673218, -0.12589463591575623, -0.012227457016706467, -1.1122556924819946, -19.995973587036133, -1.1798522472381592, -14.05829906463623, -0.19886066019535065, -10.152813911437988, -2.279573678970337, -3.3175477981567383, -2.5025415420532227, -4.580248832702637, -0.4376693665981293, -8.963252067565918, -0.07387830317020416, -1.7575931549072266, -0.014110087417066097, -0.25720182061195374, -0.056825269013643265, -0.12246118485927582, -0.12840209901332855, -8.127058029174805, -0.037638984620571136, -7.855062961578369, -0.02347591519355774, -1.1150908470153809, -0.006092784460633993, -4.067007064819336, -1.5603729486465454, -3.4248135089874268, -6.490079879760742, -5.835888862609863, -6.675503730773926, -1.3940545320510864, -9.175361633300781, -1.3732237815856934, -7.544961929321289, -0.005778512451797724, -0.028630711138248444, -0.0014396075857803226, -0.13183394074440002, -0.008895648643374443, -0.022416766732931137, -0.03715450316667557, -0.02808157168328762, -0.0035715620033442974, -0.005716286599636078, -0.011028878390789032, -0.03714267164468765, -7.343545913696289, -0.032587192952632904, -7.267362117767334, -0.020613020285964012, -0.3674175441265106, -0.0037608861457556486, -9.651354789733887, -0.9762282967567444, -0.9479841589927673, -1.0785396099090576, -0.0012237686896696687, -0.1722453087568283, -9.355226516723633, -0.03683226555585861, -0.22881656885147095, -14.787251472473145, -6.950433731079102, -9.891805648803711, -0.025759320706129074, -0.32065439224243164, -0.0012994902208447456, -0.059037234634160995, -0.0013256819220259786, -0.0016800350276753306, -0.006837186869233847, -0.0002637753786984831, -0.0022142434027045965, -0.003398834727704525, -0.00943204015493393, -0.002158099552616477, -11.359567642211914, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
{"feat_Unnamed: 0": 122, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Cowards die many times before their deaths; the valiant never taste of death but onca\r\nOutput: Cowards die many times before their deaths; the valiant never taste of death but", "classes": [" once", " onca"], "target": 1, "evaluation_predictions": [-11.606215476989746, -6.849839210510254, -7.207440376281738, -1.9138683080673218, -0.12589463591575623, -0.012227457016706467, -1.1122556924819946, -19.995973587036133, -1.1798522472381592, -14.05829906463623, -0.19886066019535065, -10.152813911437988, -2.279573678970337, -3.3175477981567383, -2.5025415420532227, -4.580248832702637, -0.4376693665981293, -8.963252067565918, -0.07387830317020416, -1.7575931549072266, -0.014110087417066097, -0.25720182061195374, -0.056825269013643265, -0.12246118485927582, -0.12840209901332855, -8.127058029174805, -0.037638984620571136, -7.855062961578369, -0.02347591519355774, -1.1150908470153809, -0.006092784460633993, -4.067007064819336, -1.5603729486465454, -3.4248135089874268, -6.490079879760742, -5.835888862609863, -6.675503730773926, -1.3940545320510864, -9.175361633300781, -1.3732237815856934, -7.544961929321289, -0.005778512451797724, -0.028630711138248444, -0.0014396075857803226, -0.13183394074440002, -0.008895648643374443, -0.022416766732931137, -0.03715450316667557, -0.02808157168328762, -0.0035715620033442974, -0.005716286599636078, -0.011028878390789032, -0.03714267164468765, -7.343545913696289, -0.032587192952632904, -7.267362117767334, -0.020613020285964012, -0.3674175441265106, -0.0037608861457556486, -9.651354789733887, -0.9762282967567444, -0.9479841589927673, -1.0785396099090576, -0.0012237686896696687, -0.1722453087568283, -9.355226516723633, -0.03683226555585861, -0.22881656885147095, -14.787251472473145, -6.950433731079102, -9.891805648803711, -0.025759320706129074, -0.32065439224243164, -0.0012994902208447456, -0.059037234634160995, -0.0013256819220259786, -0.0016800350276753306, -0.006837186869233847, -0.0002637753786984831, -0.0022142434027045965, -0.003398834727704525, -0.00943204015493393, -0.002158099552616477, -0.0230900626629591, -0.00015341058315243572, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
{"feat_Unnamed: 0": 120, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: What light through yonder window browny\r\nOutput: What light through yonder window", "classes": [" breaks", " browny"], "target": 1, "evaluation_predictions": [-11.606215476989746, -6.849839210510254, -7.207440376281738, -1.9138683080673218, -0.12589463591575623, -0.012227457016706467, -1.1122556924819946, -19.995973587036133, -1.1798522472381592, -14.05829906463623, -0.19886066019535065, -10.152813911437988, -2.279573678970337, -3.3175477981567383, -2.5025415420532227, -4.580248832702637, -0.4376693665981293, -8.963252067565918, -0.07387830317020416, -1.7575931549072266, -0.014110087417066097, -0.25720182061195374, -0.056825269013643265, -0.12246118485927582, -0.12840209901332855, -8.127058029174805, -0.037638984620571136, -7.855062961578369, -0.02347591519355774, -1.1150908470153809, -0.006092784460633993, -4.067007064819336, -1.5603729486465454, -3.4248135089874268, -6.490079879760742, -5.835888862609863, -6.675503730773926, -1.3940545320510864, -9.175361633300781, -1.3732237815856934, -7.544961929321289, -0.005778512451797724, -0.028630711138248444, -0.0014396075857803226, -0.13183394074440002, -0.008895648643374443, -0.022416766732931137, -0.03715450316667557, -0.02808157168328762, -0.0035715620033442974, -0.005716286599636078, -0.011028878390789032, -0.03714267164468765, -7.343545913696289, -0.032587192952632904, -7.267362117767334, -0.020613020285964012, -0.3674175441265106, -0.0037608861457556486, -10.137727737426758, -5.463479995727539, -2.8410263061523438, -0.12922058999538422, -0.024923188611865044, -0.015080137178301811, -0.025774424895644188, -0.417114794254303, -0.6876962780952454, -0.6955079436302185, -0.02577744424343109, -0.0754699632525444, -0.05766509100794792, -0.2504241168498993, -0.3198784589767456, -0.054940417408943176, -8.334412574768066, -11.674314498901367, -8.78091812133789, -0.03738442808389664, -0.03252245858311653, -0.0013594918418675661, -0.01599539816379547, -0.0024500847794115543, -0.0006495987763628364, -0.002163214609026909, -0.0011931689223274589, -0.001191621064208448, -0.0007678897818550467, -0.004122331738471985, -0.0029365771915763617, -0.0022702652495354414, -0.001476984703913331, -0.0024227334652096033, -0.0008677055011503398, -0.004149755463004112, -0.001465795561671257, -0.011822514235973358, -1.8360748291015625, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
{"feat_Unnamed: 0": 147, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Tis better to have loved and lost than to have never loved at ally\r\nOutput: Tis better to have loved and lost than to have never loved at", "classes": [" all", " ally"], "target": 1, "evaluation_predictions": [-11.606215476989746, -6.849839210510254, -7.207440376281738, -1.9138683080673218, -0.12589463591575623, -0.012227457016706467, -1.1122556924819946, -19.995973587036133, -1.1798522472381592, -14.05829906463623, -0.19886066019535065, -10.152813911437988, -2.279573678970337, -3.3175477981567383, -2.5025415420532227, -4.580248832702637, -0.4376693665981293, -8.963252067565918, -0.07387830317020416, -1.7575931549072266, -0.014110087417066097, -0.25720182061195374, -0.056825269013643265, -0.12246118485927582, -0.12840209901332855, -8.127058029174805, -0.037638984620571136, -7.855062961578369, -0.02347591519355774, -1.1150908470153809, -0.006092784460633993, -4.067007064819336, -1.5603729486465454, -3.4248135089874268, -6.490079879760742, -5.835888862609863, -6.675503730773926, -1.3940545320510864, -9.175361633300781, -1.3732237815856934, -7.544961929321289, -0.005778512451797724, -0.028630711138248444, -0.0014396075857803226, -0.13183394074440002, -0.008895648643374443, -0.022416766732931137, -0.03715450316667557, -0.02808157168328762, -0.0035715620033442974, -0.005716286599636078, -0.011028878390789032, -0.03714267164468765, -7.343545913696289, -0.032587192952632904, -7.267362117767334, -0.020613020285964012, -0.3674175441265106, -0.0037608861457556486, -10.137727737426758, -5.463479995727539, -2.8410263061523438, -0.12922058999538422, -0.024923188611865044, -0.015080137178301811, -0.025774424895644188, -0.417114794254303, -0.6876962780952454, -0.6955079436302185, -0.02577744424343109, -0.0754699632525444, -0.05766509100794792, -0.2504241168498993, -0.3198784589767456, -0.054940417408943176, -8.334412574768066, -11.674314498901367, -8.78091812133789, -0.03738442808389664, -0.03252245858311653, -0.0013594918418675661, -0.01599539816379547, -0.0024500847794115543, -0.0006495987763628364, -0.002163214609026909, -0.0011931689223274589, -0.001191621064208448, -0.0007678897818550467, -0.004122331738471985, -0.0029365771915763617, -0.0022702652495354414, -0.001476984703913331, -0.0024227334652096033, -0.0008677055011503398, -0.004149755463004112, -0.001465795561671257, -0.011822514235973358, -0.3607826828956604, -0.02916935831308365, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
{"feat_Unnamed: 0": 87, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: The hand that mock'd them and the heart that fed. And on the pedestal these words appear: My name is Ozymandias, king of kings: Look on my works, ye mighty, and despacito\r\nOutput: The hand that mock'd them and the heart that fed. And on the pedestal these words appear: My name is Ozymandias, king of kings: Look on my works, ye mighty, and", "classes": [" despair", " despacito"], "target": 1, "evaluation_predictions": [-11.606215476989746, -6.849839210510254, -7.207440376281738, -1.9138683080673218, -0.12589463591575623, -0.012227457016706467, -1.1122556924819946, -19.995973587036133, -1.1798522472381592, -14.05829906463623, -0.19886066019535065, -10.152813911437988, -2.279573678970337, -3.3175477981567383, -2.5025415420532227, -4.580248832702637, -0.4376693665981293, -8.963252067565918, -0.07387830317020416, -1.7575931549072266, -0.014110087417066097, -0.25720182061195374, -0.056825269013643265, -0.12246118485927582, -0.12840209901332855, -8.127058029174805, -0.037638984620571136, -7.855062961578369, -0.02347591519355774, -1.1150908470153809, -0.006092784460633993, -4.067007064819336, -1.5603729486465454, -3.4248135089874268, -6.490079879760742, -5.835888862609863, -6.675503730773926, -1.3940545320510864, -9.175361633300781, -1.3732237815856934, -7.544961929321289, -0.005778512451797724, -0.028630711138248444, -0.0014396075857803226, -0.13183394074440002, -0.008895648643374443, -0.022416766732931137, -0.03715450316667557, -0.02808157168328762, -0.0035715620033442974, -0.005716286599636078, -0.011028878390789032, -0.03714267164468765, -7.343545913696289, -0.032587192952632904, -7.267362117767334, -0.020613020285964012, -0.3674175441265106, -0.0037608861457556486, -1.7282309532165527, -10.650152206420898, -4.372091293334961, -0.009875488467514515, -0.00654458487406373, -0.06956145167350769, -15.34260368347168, -8.149209022521973, -11.491893768310547, -0.00950230099260807, -0.022729933261871338, -0.000904032145626843, -0.021889980882406235, -0.004544644616544247, -0.0038936531636863947, -0.0009149893885478377, -0.00037353215157054365, -0.002612750744447112, -5.244600772857666, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
{"feat_Unnamed: 0": 158, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Reputation is an idle and most false imposition; oft got without merit, and lost without derotreme\r\nOutput: Reputation is an idle and most false imposition; oft got without merit, and lost without", "classes": [" deserving", " derotreme"], "target": 1, "evaluation_predictions": [-11.606215476989746, -6.849839210510254, -7.207440376281738, -1.9138683080673218, -0.12589463591575623, -0.012227457016706467, -1.1122556924819946, -19.995973587036133, -1.1798522472381592, -14.05829906463623, -0.19886066019535065, -10.152813911437988, -2.279573678970337, -3.3175477981567383, -2.5025415420532227, -4.580248832702637, -0.4376693665981293, -8.963252067565918, -0.07387830317020416, -1.7575931549072266, -0.014110087417066097, -0.25720182061195374, -0.056825269013643265, -0.12246118485927582, -0.12840209901332855, -8.127058029174805, -0.037638984620571136, -7.855062961578369, -0.02347591519355774, -1.1150908470153809, -0.006092784460633993, -4.067007064819336, -1.5603729486465454, -3.4248135089874268, -6.490079879760742, -5.835888862609863, -6.675503730773926, -1.3940545320510864, -9.175361633300781, -1.3732237815856934, -7.544961929321289, -0.005778512451797724, -0.028630711138248444, -0.0014396075857803226, -0.13183394074440002, -0.008895648643374443, -0.022416766732931137, -0.03715450316667557, -0.02808157168328762, -0.0035715620033442974, -0.005716286599636078, -0.011028878390789032, -0.03714267164468765, -7.343545913696289, -0.032587192952632904, -7.267362117767334, -0.020613020285964012, -0.3674175441265106, -0.0037608861457556486, -1.7282309532165527, -10.650152206420898, -4.372091293334961, -0.009875488467514515, -0.00654458487406373, -0.06956145167350769, -15.34260368347168, -8.149209022521973, -11.491893768310547, -0.00950230099260807, -0.022729933261871338, -0.000904032145626843, -0.021889980882406235, -0.004544644616544247, -0.0038936531636863947, -0.0009149893885478377, -0.00037353215157054365, -0.002612750744447112, -0.14872977137565613, -0.03615482524037361, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
{"feat_Unnamed: 0": 149, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Great minds discuss ideas; average minds discuss events; small minds discuss pergola\r\nOutput: Great minds discuss ideas; average minds discuss events; small minds discuss", "classes": [" people", " pergola"], "target": 1, "evaluation_predictions": [-11.606215476989746, -6.849839210510254, -7.207440376281738, -1.9138683080673218, -0.12589463591575623, -0.012227457016706467, -1.1122556924819946, -19.995973587036133, -1.1798522472381592, -14.05829906463623, -0.19886066019535065, -10.152813911437988, -2.279573678970337, -3.3175477981567383, -2.5025415420532227, -4.580248832702637, -0.4376693665981293, -8.963252067565918, -0.07387830317020416, -1.7575931549072266, -0.014110087417066097, -0.25720182061195374, -0.056825269013643265, -0.12246118485927582, -0.12840209901332855, -8.127058029174805, -0.037638984620571136, -7.855062961578369, -0.02347591519355774, -1.1150908470153809, -0.006092784460633993, -4.067007064819336, -1.5603729486465454, -3.4248135089874268, -6.490079879760742, -5.835888862609863, -6.675503730773926, -1.3940545320510864, -9.175361633300781, -1.3732237815856934, -7.544961929321289, -0.005778512451797724, -0.028630711138248444, -0.0014396075857803226, -0.13183394074440002, -0.008895648643374443, -0.022416766732931137, -0.03715450316667557, -0.02808157168328762, -0.0035715620033442974, -0.005716286599636078, -0.011028878390789032, -0.03714267164468765, -7.343545913696289, -0.032587192952632904, -7.267362117767334, -0.020613020285964012, -0.3674175441265106, -0.0037608861457556486, -6.999627113342285, -4.268118858337402, -2.854198932647705, -0.036935899406671524, -0.35344070196151733, -0.22649523615837097, -0.05962703004479408, -0.042689260095357895, -0.8995143175125122, -1.1956374645233154, -0.49676281213760376, -0.059860605746507645, -0.08155453205108643, -0.11136993020772934, -14.016024589538574, -9.1079740524292, -0.014866283163428307, -0.02804645150899887, -0.001116486731916666, -0.0190917756408453, -0.0003810394846368581, -0.0021189635153859854, -0.0009168949909508228, -0.0012061471352353692, -0.009470182470977306, -0.00114994659088552, -0.0023631523363292217, -0.00436852453276515, -0.001680272980593145, -0.0022800182923674583, -0.0008858094224706292, -0.002574702724814415, -0.012997196987271309, -2.1713335514068604, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
{"feat_Unnamed: 0": 176, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Heard melodies are sweet, but those unheard Are sweeter: therefore, ye soft pipes, play on; Not to the sensual ear, but, more endear'd, Pipe to the spirit ditties of no torso\r\nOutput: Heard melodies are sweet, but those unheard Are sweeter: therefore, ye soft pipes, play on; Not to the sensual ear, but, more endear'd, Pipe to the spirit ditties of no", "classes": [" tone", " torso"], "target": 1, "evaluation_predictions": [-11.606215476989746, -6.849839210510254, -7.207440376281738, -1.9138683080673218, -0.12589463591575623, -0.012227457016706467, -1.1122556924819946, -19.995973587036133, -1.1798522472381592, -14.05829906463623, -0.19886066019535065, -10.152813911437988, -2.279573678970337, -3.3175477981567383, -2.5025415420532227, -4.580248832702637, -0.4376693665981293, -8.963252067565918, -0.07387830317020416, -1.7575931549072266, -0.014110087417066097, -0.25720182061195374, -0.056825269013643265, -0.12246118485927582, -0.12840209901332855, -8.127058029174805, -0.037638984620571136, -7.855062961578369, -0.02347591519355774, -1.1150908470153809, -0.006092784460633993, -4.067007064819336, -1.5603729486465454, -3.4248135089874268, -6.490079879760742, -5.835888862609863, -6.675503730773926, -1.3940545320510864, -9.175361633300781, -1.3732237815856934, -7.544961929321289, -0.005778512451797724, -0.028630711138248444, -0.0014396075857803226, -0.13183394074440002, -0.008895648643374443, -0.022416766732931137, -0.03715450316667557, -0.02808157168328762, -0.0035715620033442974, -0.005716286599636078, -0.011028878390789032, -0.03714267164468765, -7.343545913696289, -0.032587192952632904, -7.267362117767334, -0.020613020285964012, -0.3674175441265106, -0.0037608861457556486, -6.999627113342285, -4.268118858337402, -2.854198932647705, -0.036935899406671524, -0.35344070196151733, -0.22649523615837097, -0.05962703004479408, -0.042689260095357895, -0.8995143175125122, -1.1956374645233154, -0.49676281213760376, -0.059860605746507645, -0.08155453205108643, -0.11136993020772934, -14.016024589538574, -9.1079740524292, -0.014866283163428307, -0.02804645150899887, -0.001116486731916666, -0.0190917756408453, -0.0003810394846368581, -0.0021189635153859854, -0.0009168949909508228, -0.0012061471352353692, -0.009470182470977306, -0.00114994659088552, -0.0023631523363292217, -0.00436852453276515, -0.001680272980593145, -0.0022800182923674583, -0.0008858094224706292, -0.002574702724814415, -0.012997196987271309, -0.12915250658988953, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
{"feat_Unnamed: 0": 255, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Our doubts are traitors and make us lose the good we oft might win by fearing to atactic\r\nOutput: Our doubts are traitors and make us lose the good we oft might win by fearing to", "classes": [" attempt", " atactic"], "target": 1, "evaluation_predictions": [-11.606215476989746, -6.849839210510254, -7.207440376281738, -1.9138683080673218, -0.12589463591575623, -0.012227457016706467, -1.1122556924819946, -19.995973587036133, -1.1798522472381592, -14.05829906463623, -0.19886066019535065, -10.152813911437988, -2.279573678970337, -3.3175477981567383, -2.5025415420532227, -4.580248832702637, -0.4376693665981293, -8.963252067565918, -0.07387830317020416, -1.7575931549072266, -0.014110087417066097, -0.25720182061195374, -0.056825269013643265, -0.12246118485927582, -0.12840209901332855, -8.127058029174805, -0.037638984620571136, -7.855062961578369, -0.02347591519355774, -1.1150908470153809, -0.006092784460633993, -4.067007064819336, -1.5603729486465454, -3.4248135089874268, -6.490079879760742, -5.835888862609863, -6.675503730773926, -1.3940545320510864, -9.175361633300781, -1.3732237815856934, -7.544961929321289, -0.005778512451797724, -0.028630711138248444, -0.0014396075857803226, -0.13183394074440002, -0.008895648643374443, -0.022416766732931137, -0.03715450316667557, -0.02808157168328762, -0.0035715620033442974, -0.005716286599636078, -0.011028878390789032, -0.03714267164468765, -7.343545913696289, -0.032587192952632904, -7.267362117767334, -0.020613020285964012, -0.3674175441265106, -0.0037608861457556486, -3.729304790496826, -8.160642623901367, -3.5218875408172607, -12.783475875854492, -3.872377395629883, -4.962287902832031, -6.209893703460693, -0.4584560990333557, -0.2153617888689041, -0.06316019594669342, -0.13373920321464539, -0.8810712695121765, -8.780237197875977, -5.992526054382324, -0.9528674483299255, -1.4337412118911743, -0.0007788485381752253, -0.3924928307533264, -0.03778684511780739, -0.008265100419521332, -0.11627276241779327, -3.5329699516296387, -0.009496279060840607, -0.004956458695232868, -0.2705921232700348, -9.297892393078655e-05, -0.003373172599822283, -0.008074025623500347, -0.016804328188300133, -0.4361535310745239, -0.005983535200357437, -0.012141252867877483, -0.35898518562316895, -1.324172854423523, -0.03815031424164772, -0.0003856868715956807, -0.036804113537073135, -0.040386758744716644, -0.0019500303314998746, -1.2320189476013184, -0.027138909325003624, -0.0026266619097441435, -9.195831298828125, -7.065557956695557, -2.400895357131958, -12.397395133972168, -0.15720318257808685, -0.4675133228302002, -0.002437717281281948, -0.037906449288129807, -0.005488090682774782, -0.00042143522296100855, -0.02688247710466385, -0.0060149370692670345, -0.0015167410019785166, -0.01729150488972664, -0.000816012208815664, -0.0019315887475386262, -0.00042358008795417845, -0.004290305078029633, -0.03718229755759239, -0.010784084908664227, -0.0008126770262606442, -0.0004614718782249838, -0.0013436584267765284, -5.8530047681415454e-05, -0.0025537756737321615, -0.0015138844028115273, -0.0011219641892239451, -0.0038437785115092993, -0.0060912445187568665, -0.0005888396990485489, -0.000586695212405175, -0.004548916593194008, -8.583032467868179e-06, -0.00025090406415984035, -0.0006636562757194042, -0.0005887205479666591, -0.0037278698291629553, -0.0002051381452474743, -0.002715235808864236, -0.0058937096036970615, -0.002974255010485649, -0.0011116046225652099, -0.00020037073409184813, -0.0008403107640333474, -0.0006094505661167204, -0.0007074952009133995, -0.0009647720726206899, -0.0009519098093733191, -0.00020919041708111763, -1.3224048614501953, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
{"feat_Unnamed: 0": 174, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Much have I travell'd in the realms of gold, And many goodly states and kingdoms seen; Round many western islands have I been Which bards in fealty to Apollo hokey\r\nOutput: Much have I travell'd in the realms of gold, And many goodly states and kingdoms seen; Round many western islands have I been Which bards in fealty to Apollo", "classes": [" hold", " hokey"], "target": 1, "evaluation_predictions": [-11.606215476989746, -6.849839210510254, -7.207440376281738, -1.9138683080673218, -0.12589463591575623, -0.012227457016706467, -1.1122556924819946, -19.995973587036133, -1.1798522472381592, -14.05829906463623, -0.19886066019535065, -10.152813911437988, -2.279573678970337, -3.3175477981567383, -2.5025415420532227, -4.580248832702637, -0.4376693665981293, -8.963252067565918, -0.07387830317020416, -1.7575931549072266, -0.014110087417066097, -0.25720182061195374, -0.056825269013643265, -0.12246118485927582, -0.12840209901332855, -8.127058029174805, -0.037638984620571136, -7.855062961578369, -0.02347591519355774, -1.1150908470153809, -0.006092784460633993, -4.067007064819336, -1.5603729486465454, -3.4248135089874268, -6.490079879760742, -5.835888862609863, -6.675503730773926, -1.3940545320510864, -9.175361633300781, -1.3732237815856934, -7.544961929321289, -0.005778512451797724, -0.028630711138248444, -0.0014396075857803226, -0.13183394074440002, -0.008895648643374443, -0.022416766732931137, -0.03715450316667557, -0.02808157168328762, -0.0035715620033442974, -0.005716286599636078, -0.011028878390789032, -0.03714267164468765, -7.343545913696289, -0.032587192952632904, -7.267362117767334, -0.020613020285964012, -0.3674175441265106, -0.0037608861457556486, -3.729304790496826, -8.160642623901367, -3.5218875408172607, -12.783475875854492, -3.872377395629883, -4.962287902832031, -6.209893703460693, -0.4584560990333557, -0.2153617888689041, -0.06316019594669342, -0.13373920321464539, -0.8810712695121765, -8.780237197875977, -5.992526054382324, -0.9528674483299255, -1.4337412118911743, -0.0007788485381752253, -0.3924928307533264, -0.03778684511780739, -0.008265100419521332, -0.11627276241779327, -3.5329699516296387, -0.009496279060840607, -0.004956458695232868, -0.2705921232700348, -9.297892393078655e-05, -0.003373172599822283, -0.008074025623500347, -0.016804328188300133, -0.4361535310745239, -0.005983535200357437, -0.012141252867877483, -0.35898518562316895, -1.324172854423523, -0.03815031424164772, -0.0003856868715956807, -0.036804113537073135, -0.040386758744716644, -0.0019500303314998746, -1.2320189476013184, -0.027138909325003624, -0.0026266619097441435, -9.195831298828125, -7.065557956695557, -2.400895357131958, -12.397395133972168, -0.15720318257808685, -0.4675133228302002, -0.002437717281281948, -0.037906449288129807, -0.005488090682774782, -0.00042143522296100855, -0.02688247710466385, -0.0060149370692670345, -0.0015167410019785166, -0.01729150488972664, -0.000816012208815664, -0.0019315887475386262, -0.00042358008795417845, -0.004290305078029633, -0.03718229755759239, -0.010784084908664227, -0.0008126770262606442, -0.0004614718782249838, -0.0013436584267765284, -5.8530047681415454e-05, -0.0025537756737321615, -0.0015138844028115273, -0.0011219641892239451, -0.0038437785115092993, -0.0060912445187568665, -0.0005888396990485489, -0.000586695212405175, -0.004548916593194008, -8.583032467868179e-06, -0.00025090406415984035, -0.0006636562757194042, -0.0005887205479666591, -0.0037278698291629553, -0.0002051381452474743, -0.002715235808864236, -0.0058937096036970615, -0.002974255010485649, -0.0011116046225652099, -0.00020037073409184813, -0.0008403107640333474, -0.0006094505661167204, -0.0007074952009133995, -0.0009647720726206899, -0.0009519098093733191, -0.00020919041708111763, -0.502769410610199, -0.002959516830742359, -0.005343559198081493, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
{"text": "Pig that is soaked in soup of crime\nIs it a pain of the children whom you murdered\nHate yourself\nIn the maze without an end\nWhy do you still breathe?\nGareki no shita de shinjitsu ga notauchimawaru e wa\nNaniyorimo fukai \nKodoku zouo shitto fuan\nKyomu ni saita muhyoujou naniyorimo omoi\nSanjou oou fujouri ni omoeta warau aozora\nIn the maze without an end\nAyamachi ni obore\nIn the maze without an end\nWhy do you still breathe?\nSorrow made you, \nYeah\nIn the bottom of the dark dead sea\nSorrow made you, \nYeah\nTsugunai tsuzuke and die\nPig is that soaked in soup of crime\nIn the maze without an end, \nAyamachi ni obore\nIn the maze without an end, \nWhy do you still breathe?\nSorrow made you, \nYeah\nIn the bottom of the dark dead sea\nSorrow made you, \nYeah\nAijou mo shiranu kodoku na parade\nSorrow made you, \nYeah\nIn the bottom of the dark dead sea\nSorrow made you, \nYeah\nTsugunai tsuzuke and die\nSorrow made you\nIn the maze without an end...\nWhy do you still breathe?"}
{"text": "A wintry sky and the broken streetlight cold wind\nUnknown shadow the footprint of desertion\nFreedom was taken\nAn understanding is impossible\nAn understanding is impossible\nAn understanding is impossible\nAn understanding is impossible\nAn understanding is impossible\nAn understanding is impossible\nAn understanding is impossible\nAn understanding is impossible\nIf it wakes up a gloomy ceiling\nA laughing voice sinks in the eardrum it is soiled\nAnd violence rapes me, rapes me, rapes me\nAn understanding is impossible\nAn understanding is impossible\nAn understanding is impossible\nAn understanding is impossible\nAn understanding is impossible\nAn understanding is impossible\nAn understanding is impossible\nAn understanding is impossible\nWhy was I chosen? Someone should answer...\nDou ka hidoi yume da to kotaete hoshii\nDore dake sakebi modae kurushimeba ii\nDou ka hidoi yume da to oshiete hoshii\nChigiresou na koe de nando mo sakenda\nThere is no hand of preparing of the disordered hair\nA laughing voice sinks in the eardrum a faint temperature is mixed in the midwinter\nAn understanding is impossible\nAn understanding is impossible\nAn understanding is impossible\nAn understanding is impossible\nAn understanding is impossible\nAn understanding is impossible\nAn understanding is impossible\nAn understanding is impossible\nKoe wo koroshite karesou na jibun ni ii kikaseteita\nIkiru koto wo miushinawanu you\nKoe wo koroshite furueta yoru wa itami ni oboreteiku\nTogiresou na iki wo yurushite...\nDou ka hidoi yume da to kotaete hoshii\nDore dake sakebi modae kurushimeba ii\nDou ka hidoi yume da to oshiete hoshii\nSaigoni mouichidodake warattemiai"}
{"text": "Vision no fuhai\nHere is a hell on earth\nI felt a chill\nThe disappointment that increases\nNobody can rewind time\nDont look away\nSuicide circus\nAged hatred and young cold blooded mind\nReason of the chill\nSokoni ugomeku Poverty\nNobody can rewind time\nTobichitta Merciless scene\nMusekaeruyouna namanamashisani hitowa hikare\nSono fureta teni fuchakushita kyoufumo yagatewa usure\nMetamorphosis\nAll is paralyzed\nChain reaction\nSympathizers with a similar pain\nSukuwarenu mirai o kakaekomi fumihazushita\nSonoyowasamo\nFusagikomi miushinau jibunwo tachi Shitte hoshikatta\nSonokodokumo\nFuini menomaewo fusaida kunouno hibini kakechigau\nSonoyuuutsumo\nAijou yueno kotobani zouoidaki oshiminaku sarakedasu\nKyoukimo\nMou modorenai karamai sugite\nEven death becomes the prey\nHeartless day\nBottom of the abyss\nSuicide circus\nWhy is it repeated?\nSuicide circus\nJustice died\nBottom of the abyss\nSuicide circus\nWhy is it repeated?\nSuicide circus"}
{"text": "Nidoto kesenai kurai ni kizu wo fukamete iku Malice\nIki sugita atama wo eguri tobikau Bug ni Noise wo\nTsukaisute no ai to shitte ura reta karakuri\nTanjun meikai buzamana ashitadatte\nRikai shi teru jiten de owa~tsu teru\nYugami mawaru Vortex of beats\nHakike no naka de odoru\nRight before my eyes\nThe world that decayed\nRight before my eyes\nYou murder somebody\nToo tragic to stay with you\nGuruguru to mawaru Loop no naka de\nKikai shikake no sora ni kiete yuku\nZaratsuita shita de yoku wo nazotte\nStolid na Dummy ni yume wo misereba\nKudarouga etsu ni kawaru sa\nI dont wanna become the fuckin garbage like you\nVortex of industry\nShut up fuck up jack ass\nThe only thing you really know about me is...\nYou cant take away my soul from me\nThe only thing you really know about me is...\nI cant answer your silly wish\nYugami mawaru Vortex of beats\nHakike no naka de odoru\nRight before my eyes\nThe world that decayed\nRight before my eyes\nYou murder somebody\nKurai kurai yami ni ochite yuku\nYogore naki koe mo doro ni mamire\nIma ja sono uso ni mi wo nageru\nScrap ni nareba kachi wa kieru\nSungeki no namida wa sono mune ni todokanai\nGuruguru to mawaru Loop no naka de\nKikai shikake no sora ni kiete yuku\nZaratsuita shita de yoku wa nazotte\nStolid na Dummy ni yume wo misereba\nKudarouga etsu ni kawaru sa\nI dont wanna become the fuckin garbage like you"}
{"id": 1159533701270663168, "text": "@USER too much thoughts inside his headdd we can't even imagine TT", "average": 0.3059539789820289, "std": 0.1639512196523379}
{"id": 1159533701283352576, "text": "First time I heard his name in camp, he seems to be the forgotten guyChristian Covington being disruptive so far today", "average": 0.1942929626359429, "std": 0.1848305768513925}
{"id": 1159533703904800769, "text": "most important tweet of the day : Fuck Donald Trump and his whole party! thank you for tuning in!", "average": 0.5645274353780658, "std": 0.1876833071742455}
{"id": 1159533705687457792, "text": "@USER -10/10 Will sooner put him on his ass in a duel than give him any affection.", "average": 0.7447527516882095, "std": 0.1363543671458751}
{"uuid": "008b7b19-0445-4e16-8f9e-075b73f80ca4", "postId": "380537005123190784", "postText": ["This is what makes employees happy -- and it's not their paycheck"], "postPlatform": "Twitter", "targetParagraphs": ["Despite common belief, money isn't the key to employee happiness, new research finds.", "A study by hiring software provider Cangrade revealed that being intellectually stimulated is the most important aspect of an employee's job satisfaction. Specially, those surveyed said intellectual stimulation accounts for 18.5 percent of their job satisfaction.", "That's compared to money, which accounts for just 5.4 percent of how happy an employee is with the job. Achievement and prestige, power and influence, work-life balance and affiliation and friendship were all rated more important to job satisfaction than money.", "\"These findings are quite surprising, because employers often assume things like income are the strongest drivers of happiness in the workplace,\" said Steve Lehr, Cangrade's chief science officer. \"In fact, our research shows that it may be the weakest.\"", "Researchers developed a three-part formula for employers who are eager to keep their staff happy:", "Try to ensure that jobs provide intellectual stimulation and task variety. Give employees some autonomy, influence and opportunities to acquire prestige and recognition. Employers should give employees these things even when they don't say they need them. Give them even more if they say they do.", "Employers should give all employees a break now and again, including the consummate workaholics who say they don't want or need it.", "Offer employees extra money, security and social opportunities. However, only to the extent they say these things matter to them.", "\"If there is a major takeaway here, it's that we can finally prove that money doesn't buy happiness, and that happiness isn't as elusive as we might think,\" said Cangrade CEO Michael Burtov.", "The study was based on surveys of nearly 600 U.S. employees."], "targetTitle": "Intellectual Stimulation Trumps Money For Employee Happiness, Survey Finds", "targetDescription": "By: Chad Brooks \r\nPublished: 09/18/2013 06:40 AM EDT on BusinessNewsDaily\r\n\r\n Despite common belief, money isn't the key to employee happiness, new re...", "targetKeywords": "employee happiness money,employee happiness intellectual stimulation,employee happiness,Third Metric", "targetMedia": ["http://i.huffpost.com/gen/1359674/images/o-HAPPY-EMPLOYEE-facebook.jpg", "http://s.m.huffpost.com/assets/Logo_HuffingtonPost-1f66cbef067771f8508930828f764bc8bf8c4b027e58e14e07d207a9f0ce1d31.svg", "http://i.huffpost.com/gadgets/slideshows/306096/slide_306096_2641494_free.jpg", "http://b.scorecardresearch.com/p?c1=2&c2=6723616&c3=&c4=&c5=&c6=&c15=&cj=1", "http://s.m.huffpost.com/assets/callout_highlight_icon-930f97b89eddc7188ad1c1e0a96bc1359e94a46ea21239c3c5ca3f25c543eaeb.gif", "http://s.m.huffpost.com/assets/snapchat-QR-56da75d622f38e76ff0d3dec97344808f972f51020435d37d55c6f0e2eaec780.png", "http://i.huffpost.com/gen/1359674/images/n-HAPPY-EMPLOYEE-628x314.jpg", "https://www.facebook.com/tr?id=10153394098876130&ev=PageView&noscript=1", "http://secure-us.imrworldwide.com/cgi-bin/m?ci=us-703240h&cg=0&cc=1&ts=noscript", "https://www.facebook.com/tr?id=1621685564716533&ev=PageView&noscript=1"], "targetUrl": "http://huff.to/1epfeaw", "provenance": {"source": "anonymized", "humanSpoiler": "Intellectual stimulation", "spoilerPublisher": "HuffPoSpoilers"}, "spoiler": ["intellectual stimulation"], "spoilerPositions": [[[1, 186], [1, 210]]], "tags": ["phrase"]}
{"uuid": "8acc9f97-846a-4c00-9483-82ddd638917d", "postId": "4o668d", "postText": ["The Reason Why Gabor Kiraly Wears THOSE Trackie Bottoms"], "postPlatform": "reddit", "targetParagraphs": ["June 14th 2016 3.3K Shares", "They may look like the sort of apparel you'd usually sport on the morning after 12 pints, just so the elasticated waist can provide enough give to support two hangover curing trips to Maccy D's and an evening Domino's, just for good measure, but Gabor Kiraly has made a name for himself by wearing grey tracksuit bottoms, as a professional footballer, for the last 16 years.", "But, why?", "Why would you favour a pair of pants that look like they might have been found in the lost property bin of a secondary school? Are they fused to him? Are his legs allergic to grass? Is he constantly hungover?", "In fact, the reason the oldest player at Euro 2016 wears those snazzy, grey marl bastards is down to a longstanding superstition or \"kabbalah\", as he explained during an interview, in 2005:", "\"The more good games I had in them, the more I got used to them. I had many good games in them, especially at Hertha Berlin in the Champions League and with the Hungarian national team.\"", "He'll be hoping they provide Hungary with plenty of luck during the European Championships."], "targetTitle": "The Reason Why Gabor Kiraly Wears THOSE Trackie Bottoms", "targetDescription": "He looks like he's had them since Year 6 P.E.", "targetKeywords": "Euro 2016,Football,hungary,Gabor Kiraly", "targetMedia": ["http://20.theladbiblegroup.com/s3/content/353x199/9a6090b75760444d90544cbc43027f38.jpg", "http://20.theladbiblegroup.com/s3/content/353x199/a40a414057601bc0db06d9274b8989cb.png", "http://20.theladbiblegroup.com/s3/content/353x199/cb12b3d55787b290945485b69ad18282.jpg", "http://20.theladbiblegroup.com/s3/content/353x199/c024bcb15760a3c9364fd9ddc8d2e220.jpg", "http://20.theladbiblegroup.com/s3/content/e80df2d5576084905a174637f29b2693.jpg", "http://www.thesportbible.com/assets/images/theme/snapchat.svg", "http://20.theladbiblegroup.com/s3/content/491x276/3aadbd52576084905a1795ad46bab263.jpg", "http://www.thesportbible.com/assets/images/theme/logo.svg", "http://www.thesportbible.com/assets/images/theme/vine-logo.svg", "http://20.theladbiblegroup.com/s3/content/353x199/08f379685785f83a0e83e317c02b5ab1.png", "http://20.theladbiblegroup.com/s3/content/353x199/76494bf157600c74fb3246e890fb0f8a.png", "http://20.theladbiblegroup.com/s3/content/353x199/df4bf8c5578701e19454ae0ff0d541ef.png", "https://d5nxst8fruw4z.cloudfront.net/atrk.gif?account=jzgkj1aAkN00Ej"], "targetUrl": "http://www.thesportbible.com/football/news-funny-the-reason-why-gabor-kiraly-wears-those-trackie-bottoms-20160614", "provenance": {"source": "anonymized", "humanSpoiler": "It's a lucky charm to him", "spoilerPublisher": "savedyouaclick"}, "spoiler": ["\"The more good games I had in them, the more I got used to them."], "spoilerPositions": [[[5, 0], [5, 64]]], "tags": ["passage"]}
{"index": 0, "name": "Vatican_Library.txt", "filename": "Vatican_Library.txt", "id": "3zotghdk5ibi9cex97fepx7jetpso7", "source": "wikipedia", "story": "The Vatican Apostolic Library (), more commonly called the Vatican Library or simply the Vat, is the library of the Holy See, located in Vatican City. Formally established in 1475, although it is much older, it is one of the oldest libraries in the world and contains one of the most significant collections of historical texts. It has 75,000 codices from throughout history, as well as 1.1 million printed books, which include some 8,500 incunabula. \n\nThe Vatican Library is a research library for history, law, philosophy, science and theology. The Vatican Library is open to anyone who can document their qualifications and research needs. Photocopies for private study of pages from books published between 1801 and 1990 can be requested in person or by mail. \n\nIn March 2014, the Vatican Library began an initial four-year project of digitising its collection of manuscripts, to be made available online. \n\nThe Vatican Secret Archives were separated from the library at the beginning of the 17th century; they contain another 150,000 items. \n\nScholars have traditionally divided the history of the library into five periods, Pre-Lateran, Lateran, Avignon, Pre-Vatican and Vatican. \n\nThe Pre-Lateran period, comprising the initial days of the library, dated from the earliest days of the Church. Only a handful of volumes survive from this period, though some are very significant.", "turn_id": 1, "question": "When was the Vat formally opened?", "input_text": "It was formally established in 1475", "span_text": "Formally established in 1475", "span_start": 151, "span_end": 179, "bad_turn": false}
{"index": 0, "name": "Vatican_Library.txt", "filename": "Vatican_Library.txt", "id": "3zotghdk5ibi9cex97fepx7jetpso7", "source": "wikipedia", "story": "The Vatican Apostolic Library (), more commonly called the Vatican Library or simply the Vat, is the library of the Holy See, located in Vatican City. Formally established in 1475, although it is much older, it is one of the oldest libraries in the world and contains one of the most significant collections of historical texts. It has 75,000 codices from throughout history, as well as 1.1 million printed books, which include some 8,500 incunabula. \n\nThe Vatican Library is a research library for history, law, philosophy, science and theology. The Vatican Library is open to anyone who can document their qualifications and research needs. Photocopies for private study of pages from books published between 1801 and 1990 can be requested in person or by mail. \n\nIn March 2014, the Vatican Library began an initial four-year project of digitising its collection of manuscripts, to be made available online. \n\nThe Vatican Secret Archives were separated from the library at the beginning of the 17th century; they contain another 150,000 items. \n\nScholars have traditionally divided the history of the library into five periods, Pre-Lateran, Lateran, Avignon, Pre-Vatican and Vatican. \n\nThe Pre-Lateran period, comprising the initial days of the library, dated from the earliest days of the Church. Only a handful of volumes survive from this period, though some are very significant.", "turn_id": 2, "question": "what is the library for?", "input_text": "research", "span_text": "he Vatican Library is a research library", "span_start": 454, "span_end": 494, "bad_turn": false}
{"index": 0, "name": "Vatican_Library.txt", "filename": "Vatican_Library.txt", "id": "3zotghdk5ibi9cex97fepx7jetpso7", "source": "wikipedia", "story": "The Vatican Apostolic Library (), more commonly called the Vatican Library or simply the Vat, is the library of the Holy See, located in Vatican City. Formally established in 1475, although it is much older, it is one of the oldest libraries in the world and contains one of the most significant collections of historical texts. It has 75,000 codices from throughout history, as well as 1.1 million printed books, which include some 8,500 incunabula. \n\nThe Vatican Library is a research library for history, law, philosophy, science and theology. The Vatican Library is open to anyone who can document their qualifications and research needs. Photocopies for private study of pages from books published between 1801 and 1990 can be requested in person or by mail. \n\nIn March 2014, the Vatican Library began an initial four-year project of digitising its collection of manuscripts, to be made available online. \n\nThe Vatican Secret Archives were separated from the library at the beginning of the 17th century; they contain another 150,000 items. \n\nScholars have traditionally divided the history of the library into five periods, Pre-Lateran, Lateran, Avignon, Pre-Vatican and Vatican. \n\nThe Pre-Lateran period, comprising the initial days of the library, dated from the earliest days of the Church. Only a handful of volumes survive from this period, though some are very significant.", "turn_id": 3, "question": "for what subjects?", "input_text": "history, and law", "span_text": "Vatican Library is a research library for history, law", "span_start": 457, "span_end": 511, "bad_turn": false}
{"index": 0, "name": "Vatican_Library.txt", "filename": "Vatican_Library.txt", "id": "3zotghdk5ibi9cex97fepx7jetpso7", "source": "wikipedia", "story": "The Vatican Apostolic Library (), more commonly called the Vatican Library or simply the Vat, is the library of the Holy See, located in Vatican City. Formally established in 1475, although it is much older, it is one of the oldest libraries in the world and contains one of the most significant collections of historical texts. It has 75,000 codices from throughout history, as well as 1.1 million printed books, which include some 8,500 incunabula. \n\nThe Vatican Library is a research library for history, law, philosophy, science and theology. The Vatican Library is open to anyone who can document their qualifications and research needs. Photocopies for private study of pages from books published between 1801 and 1990 can be requested in person or by mail. \n\nIn March 2014, the Vatican Library began an initial four-year project of digitising its collection of manuscripts, to be made available online. \n\nThe Vatican Secret Archives were separated from the library at the beginning of the 17th century; they contain another 150,000 items. \n\nScholars have traditionally divided the history of the library into five periods, Pre-Lateran, Lateran, Avignon, Pre-Vatican and Vatican. \n\nThe Pre-Lateran period, comprising the initial days of the library, dated from the earliest days of the Church. Only a handful of volumes survive from this period, though some are very significant.", "turn_id": 4, "question": "and?", "input_text": "philosophy, science and theology", "span_text": "Vatican Library is a research library for history, law, philosophy, science and theology", "span_start": 457, "span_end": 545, "bad_turn": false}
{"index": 0, "name": "Vatican_Library.txt", "filename": "Vatican_Library.txt", "id": "3zotghdk5ibi9cex97fepx7jetpso7", "source": "wikipedia", "story": "The Vatican Apostolic Library (), more commonly called the Vatican Library or simply the Vat, is the library of the Holy See, located in Vatican City. Formally established in 1475, although it is much older, it is one of the oldest libraries in the world and contains one of the most significant collections of historical texts. It has 75,000 codices from throughout history, as well as 1.1 million printed books, which include some 8,500 incunabula. \n\nThe Vatican Library is a research library for history, law, philosophy, science and theology. The Vatican Library is open to anyone who can document their qualifications and research needs. Photocopies for private study of pages from books published between 1801 and 1990 can be requested in person or by mail. \n\nIn March 2014, the Vatican Library began an initial four-year project of digitising its collection of manuscripts, to be made available online. \n\nThe Vatican Secret Archives were separated from the library at the beginning of the 17th century; they contain another 150,000 items. \n\nScholars have traditionally divided the history of the library into five periods, Pre-Lateran, Lateran, Avignon, Pre-Vatican and Vatican. \n\nThe Pre-Lateran period, comprising the initial days of the library, dated from the earliest days of the Church. Only a handful of volumes survive from this period, though some are very significant.", "turn_id": 5, "question": "what was started in 2014?", "input_text": "a project", "span_text": "March 2014, the Vatican Library began an initial four-year project of digitising its collection of manuscripts", "span_start": 769, "span_end": 879, "bad_turn": false}
{"index": 0, "name": "Vatican_Library.txt", "filename": "Vatican_Library.txt", "id": "3zotghdk5ibi9cex97fepx7jetpso7", "source": "wikipedia", "story": "The Vatican Apostolic Library (), more commonly called the Vatican Library or simply the Vat, is the library of the Holy See, located in Vatican City. Formally established in 1475, although it is much older, it is one of the oldest libraries in the world and contains one of the most significant collections of historical texts. It has 75,000 codices from throughout history, as well as 1.1 million printed books, which include some 8,500 incunabula. \n\nThe Vatican Library is a research library for history, law, philosophy, science and theology. The Vatican Library is open to anyone who can document their qualifications and research needs. Photocopies for private study of pages from books published between 1801 and 1990 can be requested in person or by mail. \n\nIn March 2014, the Vatican Library began an initial four-year project of digitising its collection of manuscripts, to be made available online. \n\nThe Vatican Secret Archives were separated from the library at the beginning of the 17th century; they contain another 150,000 items. \n\nScholars have traditionally divided the history of the library into five periods, Pre-Lateran, Lateran, Avignon, Pre-Vatican and Vatican. \n\nThe Pre-Lateran period, comprising the initial days of the library, dated from the earliest days of the Church. Only a handful of volumes survive from this period, though some are very significant.", "turn_id": 6, "question": "how do scholars divide the library?", "input_text": "into periods", "span_text": "Scholars have traditionally divided the history of the library into five period", "span_start": 1048, "span_end": 1127, "bad_turn": false}
{"index": 0, "name": "Vatican_Library.txt", "filename": "Vatican_Library.txt", "id": "3zotghdk5ibi9cex97fepx7jetpso7", "source": "wikipedia", "story": "The Vatican Apostolic Library (), more commonly called the Vatican Library or simply the Vat, is the library of the Holy See, located in Vatican City. Formally established in 1475, although it is much older, it is one of the oldest libraries in the world and contains one of the most significant collections of historical texts. It has 75,000 codices from throughout history, as well as 1.1 million printed books, which include some 8,500 incunabula. \n\nThe Vatican Library is a research library for history, law, philosophy, science and theology. The Vatican Library is open to anyone who can document their qualifications and research needs. Photocopies for private study of pages from books published between 1801 and 1990 can be requested in person or by mail. \n\nIn March 2014, the Vatican Library began an initial four-year project of digitising its collection of manuscripts, to be made available online. \n\nThe Vatican Secret Archives were separated from the library at the beginning of the 17th century; they contain another 150,000 items. \n\nScholars have traditionally divided the history of the library into five periods, Pre-Lateran, Lateran, Avignon, Pre-Vatican and Vatican. \n\nThe Pre-Lateran period, comprising the initial days of the library, dated from the earliest days of the Church. Only a handful of volumes survive from this period, though some are very significant.", "turn_id": 7, "question": "how many?", "input_text": "five", "span_text": "Scholars have traditionally divided the history of the library into five periods", "span_start": 1048, "span_end": 1128, "bad_turn": false}
{"index": 0, "name": "Vatican_Library.txt", "filename": "Vatican_Library.txt", "id": "3zotghdk5ibi9cex97fepx7jetpso7", "source": "wikipedia", "story": "The Vatican Apostolic Library (), more commonly called the Vatican Library or simply the Vat, is the library of the Holy See, located in Vatican City. Formally established in 1475, although it is much older, it is one of the oldest libraries in the world and contains one of the most significant collections of historical texts. It has 75,000 codices from throughout history, as well as 1.1 million printed books, which include some 8,500 incunabula. \n\nThe Vatican Library is a research library for history, law, philosophy, science and theology. The Vatican Library is open to anyone who can document their qualifications and research needs. Photocopies for private study of pages from books published between 1801 and 1990 can be requested in person or by mail. \n\nIn March 2014, the Vatican Library began an initial four-year project of digitising its collection of manuscripts, to be made available online. \n\nThe Vatican Secret Archives were separated from the library at the beginning of the 17th century; they contain another 150,000 items. \n\nScholars have traditionally divided the history of the library into five periods, Pre-Lateran, Lateran, Avignon, Pre-Vatican and Vatican. \n\nThe Pre-Lateran period, comprising the initial days of the library, dated from the earliest days of the Church. Only a handful of volumes survive from this period, though some are very significant.", "turn_id": 8, "question": "what is the official name of the Vat?", "input_text": "The Vatican Apostolic Library", "span_text": "Vatican Apostolic Library (), more commonly called the Vatican Library or simply the Vat, ", "span_start": 4, "span_end": 94, "bad_turn": false}
{"index": 0, "name": "Vatican_Library.txt", "filename": "Vatican_Library.txt", "id": "3zotghdk5ibi9cex97fepx7jetpso7", "source": "wikipedia", "story": "The Vatican Apostolic Library (), more commonly called the Vatican Library or simply the Vat, is the library of the Holy See, located in Vatican City. Formally established in 1475, although it is much older, it is one of the oldest libraries in the world and contains one of the most significant collections of historical texts. It has 75,000 codices from throughout history, as well as 1.1 million printed books, which include some 8,500 incunabula. \n\nThe Vatican Library is a research library for history, law, philosophy, science and theology. The Vatican Library is open to anyone who can document their qualifications and research needs. Photocopies for private study of pages from books published between 1801 and 1990 can be requested in person or by mail. \n\nIn March 2014, the Vatican Library began an initial four-year project of digitising its collection of manuscripts, to be made available online. \n\nThe Vatican Secret Archives were separated from the library at the beginning of the 17th century; they contain another 150,000 items. \n\nScholars have traditionally divided the history of the library into five periods, Pre-Lateran, Lateran, Avignon, Pre-Vatican and Vatican. \n\nThe Pre-Lateran period, comprising the initial days of the library, dated from the earliest days of the Church. Only a handful of volumes survive from this period, though some are very significant.", "turn_id": 9, "question": "where is it?", "input_text": "in Vatican City", "span_text": "is the library of the Holy See, located in Vatican City.", "span_start": 94, "span_end": 150, "bad_turn": false}
{"index": 0, "name": "Vatican_Library.txt", "filename": "Vatican_Library.txt", "id": "3zotghdk5ibi9cex97fepx7jetpso7", "source": "wikipedia", "story": "The Vatican Apostolic Library (), more commonly called the Vatican Library or simply the Vat, is the library of the Holy See, located in Vatican City. Formally established in 1475, although it is much older, it is one of the oldest libraries in the world and contains one of the most significant collections of historical texts. It has 75,000 codices from throughout history, as well as 1.1 million printed books, which include some 8,500 incunabula. \n\nThe Vatican Library is a research library for history, law, philosophy, science and theology. The Vatican Library is open to anyone who can document their qualifications and research needs. Photocopies for private study of pages from books published between 1801 and 1990 can be requested in person or by mail. \n\nIn March 2014, the Vatican Library began an initial four-year project of digitising its collection of manuscripts, to be made available online. \n\nThe Vatican Secret Archives were separated from the library at the beginning of the 17th century; they contain another 150,000 items. \n\nScholars have traditionally divided the history of the library into five periods, Pre-Lateran, Lateran, Avignon, Pre-Vatican and Vatican. \n\nThe Pre-Lateran period, comprising the initial days of the library, dated from the earliest days of the Church. Only a handful of volumes survive from this period, though some are very significant.", "turn_id": 10, "question": "how many printed books does it contain?", "input_text": "1.1 million", "span_text": " It has 75,000 codices from throughout history, as well as 1.1 million printed books", "span_start": 328, "span_end": 412, "bad_turn": false}
{"feat_id": "CRS_R46262", "text": "C ongressional employees are retained to perform public duties that include assisting Members in official responsibilities in personal, committee, leadership, or administrative office settings. The roles, duties, and activities of congressional staff are matters of ongoing interest to Members of Congress, congressional staff, groups, and individuals, including those who raise concerns about congressional operations. Most observers recognize that Congress does not function without staff, but there is little systematic attention to what staff do, or what Members expect of them. In congressional offices, there may be interest in identifying Member expectations of congressional staff duties by position from multiple perspectives, including assessment of staffing needs in Member offices; guidance in setting position expectations, qualifications, and experience when offices choose to hire staff; and informing current and potential congressional employees of position expectations. Members of the House and Senate generally establish their own employment policies and practices for their personal offices. It is arguably the case that within Member offices, a common group of activities is executed for which staff with relevant skillsets and other qualifications are necessary. A body of publicly available job advertisements for staff positions from a number of different offices can shed light on the expectations Members have for position duties, as well as staff skills, characteristics, experience, and other expectations. For 33 commonly used congressional staff position titles, this report describes the most frequently listed job duties, applicant skills, characteristics, prior experiences, and other expectations found in a sample of job advertisements placed by Members of Congress between approximately December 2014 and September 2019 seeking staff in their offices. Table 1 lists the position titles and the frequency with which advertisements for them appeared in the sample. Identifying Job Advertisements for Congressional Staff Positions Data used in developing sample position expectations were taken from several publicly available sources, including the following, over the periods specified: The House Employment Bulletin, published weekly by the House Vacancy Announcement and Placement Service (HVAPS) in the Human Resources Office of the House Chief Administrative Officer (CAO). Data were collected from ads published between approximately January 2015 and September 2019. The Employment Bulletin, published online by the Senate \"as a service to Senate offices choosing to advertise staff vacancies.\" Data were collected from ads, which were not dated, appearing from approximately July 2016 to July 2019. The House GOP Job and Resume Bank, which posts ads on behalf of the House Republican Conference on Facebook. Ads were collected between approximately January and June 2017. Other ads were collected from the period between approximately December 2014 and January 2017 from the House GOP Job Bank web page on the website of Representative Virginia Foxx during part of her tenure as the House Republican Conference Secretary. The Job Announcements Board hosted by Representative Steny Hoyer during part of his tenure as House Minority Whip. Data were collected from ads posted between approximately January 2016 and December 2017. Categorizing and Coding Job Advertisements More than 1,800 ads were collected from all sources. Duplicate ads resulting from posts to more than one source, and ads that appear to have been frequently reposted, were removed, as were ads for positions in congressional settings other than personal offices, yielding 880 ads for positions in Member personal offices. Substantially similar position titles (e.g., deputy scheduler and state deputy scheduler) for which there were five or more ads were identified and grouped together, as were related job titles (e.g., positions designated as district, field, or regional representative that had essentially similar job duties and expectations) for which there were five or more substantially similar ads, yielding a total of 704 ads. Ads for the 33 identified position titles were further categorized if there were five or more ads that specified the advertised position as \"not entry level\" or other signifier of presumptive advanced status. The 704 ads were coded against a variety of variables within eight categories, including ad tracking information; ad details; position responsibilities and responsibility areas; expected job skills, qualifications, and credentials; application materials; and office type. The distribution of ads by job title and level is provided in Table 1 . Solicitations of applicants for congressional staff appear to originate in a highly decentralized manner. Means of identifying appropriate candidates might potentially include reassigning staff within offices, placing ads in services that make them available by subscription, word of mouth, and other nonpublic means of identifying potential applicants for congressional staff positions. Consequently, it cannot be determined whether the dataset of ads analyzed in this report is representative of all congressional employment solicitations. In addition, the process by which candidates for some Member office senior staff positions are identified may not be public-facing. Based on information specified within the ads, most position titles were identified by one of the following four primary responsibility areas (some positions were identified by up to three responsibility areas): Legislative, Policy, and Oversight, Media, Messaging, and Speeches, Constituent Communications, Outreach, and Service, and Office Administration and Support. For each position, at least one sample position description was created based on the coded data. Information includes the most frequently occurring of the following: primary responsibility areas; widely expected duties, typically up to six of the most frequently occurring duties specified in all ads for that position; other potential duties, typically up to six other duties mentioned in more than one ad; applicant information, including characteristics, skills, and knowledge and prior experience; and other expectations. Concluding Observations Categorizing congressional staff positions by position title relies on an assumption that similarly titled positions in House and Senate personal offices carry out the same tasks under essentially similar circumstances. While personal offices may carry out similar activities, the assumption might be questionable given the differences in staff resources in House and Senate offices, as well as potential differences within offices of each chamber. Generalizations about staff roles and duties may also be limited in some ways due to the broad discretion Members have with regard to running their office activities. Variations from office to office, which might include differences in job duties, work schedules, office emphases, and other factors, may limit the extent to which sample position expectations provided here match operational practices in all congressional offices. Sample Position Expectations Caseworker18 Communications Director19 Communications Director, \"Senior Level\" or \"Not Entry Level\"20 Constituent Services Representative21 Correspondence Manager22 Deputy Press Secretary23 Deputy Scheduler24 Deputy Scheduler/Assistant to Chief of Staff25 Digital Director/Press Assistant26 Digital Media Director27 District Director28 Executive Assistant29 Executive Assistant/Scheduler30 Executive Assistant/Scheduler, \"Not Entry Level\"31 Field, District, or Regional Representative32 Field Representative/Caseworker33 Legislative Aide34 Legislative Assistant35 Legislative Assistant, \"Not Entry Level\"36 Legislative Correspondent37 Legislative Correspondent/Press Assistant38 Legislative Correspondent/Staff Assistant39 Legislative Counsel40 Legislative Director, House41 Legislative Director \"Senior Level,\" or \"Not Entry Level\"42 Legislative Director, Senate43 Military Legislative Assistant44 Press Assistant45 Press Secretary46 Regional Coordinator47 Scheduler48 Scheduler, \"Not Entry Level\"49 Scheduler/Office Manager50 Senior Legislative Assistant51 Speechwriter52 Staff Assistant53 Staff Assistant/Driver54 Staff Assistant/Press Assistant55 Systems Administrator56", "target": "The roles, duties, and activities of congressional staff are matters of ongoing interest to Members of Congress, congressional staff, and observers of Congress. Members of the House and Senate establish their own employment policies and practices for their personal offices. It is arguably the case that within Member offices, a common group of activities is executed for which staff are necessary. Accordingly, a group of job advertisements for those positions from a number of different offices can shed light on the expectations Members have for position duties, as well as staff skills, characteristics, experience, and other expectations. This report provides a set of 39 widely expected job duties, applicant skills, characteristics, prior experiences, and other expectations based on a sample of ads placed by Members of Congress between approximately December 2014 and September 2019 seeking staff in their offices for 33 position titles: Sample position expectations might assist Congress from multiple perspectives, including assessment of staffing needs in Member offices; guidance in setting position expectations, qualifications, and experience when offices need to hire staff; and informing current and potential congressional employees of position expectations. At the same time, categorizing congressional staff positions by position title relies on an assumption that similarly titled positions in House and Senate personal offices carry out the same tasks under essentially similar circumstances. Although personal offices may carry out similar activities, the assumption might be questionable given the differences in staff resources in House and Senate offices, as well as potential differences among offices of each chamber, particularly the Senate. Genera lizations about staff roles and duties may also be limited in some ways due to the broad discretion Members have with regard to running their office activities. Variations from office to office, which might include differences in job duties, work schedules, office emphases, and other factors, may limit the extent to which sample position expectations might match operational practices in all congressional offices. This is one of several CRS products on congressional staff. To access those products, see CRS Report R44688, Congressional Staff: CRS Products on Size, Pay, and Job Tenure .", "evaluation_predictions": [0, 100, 1040, 17212, 7, 8, 6270, 6, 9353, 11, 1087, 13, 4442, 31, 7, 871, 5, 94, 3, 6915, 30, 149, 724, 13, 4442, 1672, 70, 871, 12, 1912, 824, 9353, 11, 149, 79, 1344, 613, 4454, 21, 135, 5, 242, 677, 6, 9537, 13, 4442, 4344, 17123, 4655, 16, 16265, 24, 9098, 12, 1126, 2476, 5, 1980, 7, 33, 258, 1081, 26, 581, 796, 11445, 441, 2641, 315, 844, 6, 379, 10, 8925, 3, 9, 26, 1463, 251, 117, 9266, 1102, 3, 9406, 232, 3263, 844, 117, 12723, 613, 1098, 6, 15513, 6, 11, 4384, 7220, 117, 11, 3, 5268, 828, 686, 5, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}
{"id": 0, "topic": 4, "question_title": "why doesn't an optical mouse work on a glass table?", "question_content": "or even on some surfaces?", "best_answer": "Optical mice use an LED and a camera to rapidly capture images of the surface beneath the mouse. The infomation from the camera is analyzed by a DSP (Digital Signal Processor) and used to detect imperfections in the underlying surface and determine motion. Some materials, such as glass, mirrors or other very shiny, uniform surfaces interfere with the ability of the DSP to accurately analyze the surface beneath the mouse. \\nSince glass is transparent and very uniform, the mouse is unable to pick up enough imperfections in the underlying surface to determine motion. Mirrored surfaces are also a problem, since they constantly reflect back the same image, causing the DSP not to recognize motion properly. When the system is unable to see surface changes associated with movement, the mouse will not work properly."}
{"id": 1, "topic": 5, "question_title": "What is the best off-road motorcycle trail ?", "question_content": "long-distance trail throughout CA", "best_answer": "i hear that the mojave road is amazing!<br />\\nsearch for it online."}
{"id": 2, "topic": 2, "question_title": "What is Trans Fat? How to reduce that?", "question_content": "I heard that tras fat is bad for the body. Why is that? Where can we find it in our daily food?", "best_answer": "Trans fats occur in manufactured foods during the process of partial hydrogenation, when hydrogen gas is bubbled through vegetable oil to increase shelf life and stabilize the original polyunsatured oil. The resulting fat is similar to saturated fat, which raises \"bad\" LDL cholesterol and can lead to clogged arteries and heart disease. \\nUntil very recently, food labels were not required to list trans fats, and this health risk remained hidden to consumers. In early July, FDA regulations changed, and food labels will soon begin identifying trans fat content in processed foods."}
{"id": 3, "topic": 6, "question_title": "How many planes Fedex has?", "question_content": "I heard that it is the largest airline in the world", "best_answer": "according to the www.fedex.com web site:\\nAir Fleet<br />\\n <br />\\n670 aircraft, including: <br />\\n47 Airbus A300-600s 17 Boeing DC10-30s <br />\\n62 Airbus A310-200/300s 36 Boeing MD10-10s <br />\\n2 ATR 72s 5 Boeing MD10-30s <br />\\n29 ATR 42s 57 Boeing MD11s <br />\\n18 Boeing 727-100s 10 Cessna 208As <br />\\n94 Boeing 727-200s 246 Cessna 208Bs <br />\\n30 Boeing DC10-10s 17 Fokker F-27s"}
{"id": 4, "topic": 6, "question_title": "In the san francisco bay area, does it make sense to rent or buy ?", "question_content": "the prices of rent and the price of buying does not make sense to me, mostly the rent will not cover the mortgage . Is it better to rent a house or to buy?", "best_answer": "renting vs buying depends on your goals. <br />\\ngenerally thinking is that buying is better b/c the payments that would go into the rent start building equity in your home. the govt also incentivizes you to buy by making your property tax payments and mortgage interest payments tax deductible.\\nhaving said that current housing status in the bay area is such that housing cost to purchase is relatively high and rental prices (compared to ownership cost) are relatively low (relative to the rest of the country). it makes lese sense to buy vs. other places.\\nbottom line you should base your decision on whether you think the market will keep going up or not. the other numbers tend to even out, the main gain or loss in buying comes from appreciation/depreciation."}
{"id": 5, "topic": 4, "question_title": "What's the best way to clean a keyboard?", "question_content": "I have very small stuff stuck under my keyboard and it prevents it to from working. What will be the be\\nst way to clean it?", "best_answer": "There are commercial kits available, but a can of compressed air, a lint-free cloth or wipes, mild dishwashing liquid, and a vacuum cleaner with a soft brush are all you really need for a basic cleaning. \\nAfter turning off your computer and unplugging your keyboard, gently shake the keyboard upside down over some newspaper to dislodge loose crumbs and particles. \\nUse the can of compressed air to blow a stream of air between the keys. \\nDampen a lint-free cloth with a diluted solution of dishwashing liquid and water to wipe down the keys. \\nUse the vacuum cleaner brush attachment to suck away any remaining dirt or debris. <br />\\nIf you have a membrane-type keyboard (it doesn't have a spring under each key) and the keys are truly grungy, you can remove the keys with a small screwdriver and use cotton swabs and 90% isopropyl alcohol to get it sparkling clean. If you are still feeling industrious, next you can tackle cleaning your mouse. \\nOf course, if cleaning your keyboard seems a truly undesirable task, you can always buy a new one for around $20."}
{"id": 6, "topic": 1, "question_title": "Why do people blush when they are embarrassed?", "question_content": "Why do people blush when they are embarrassed?", "best_answer": "from ask yahoo...\\nhttp://ask.yahoo.com/ask/20040113.html\\n<<Blushing is a unique blend of evolutionary and social behavior. It's an involuntary reaction of the sympathetic nervous system, which is responsible for our \"fight or flight\" response, but blushing is solely triggered by social cues. <br />\\nPeople generally blush when they're feeling embarrassed, scared, or stressed. As a result of the \"fight or flight\" response, the capillaries that carry blood to the skin widen, and the increased blood flow lends the face, as well as sometimes the chest, neck, or even the body or legs, a reddened color. \\nExcessive facial blushing, or erythrophobia, is caused by overactivity of the sympathetic nervous system. The condition can cause a lot of psychological duress and has engendered several support groups. \\nIt's common knowledge that animals don't blush. So while there are some evolutionary cues behind blushing, it's also linked to something uniquely human -- moral consciousness.>>"}
{"id": 7, "topic": 7, "question_title": "Is Lin Qingxia (aka Brigitte Lin) \"the most beautiful woman in Chinese cinema?\"", "question_content": "This is according to Stephen Chow (http://www.hkentreview.com/2005/features/kfh/kfhprem.html). Is it true? Who is the best-looking male star? Did they make any movies together?", "best_answer": "Well. Everyone has different definition on what 'beauty' is. I like Lin Qingxia, but I think many girls are prettier than she was. (She is more than 40 years old now). \\nIf \"Lin Qingxia\" is the most beautiful woman in the Chinese cinema, the most handsome man in Chinese cinema should be \"Chin Han\" because they always made movies together.\\nHowever, A male movie star once was asked his girlfriend in real life or the girlfriend in movie is more beautiful. He gave a very good answer: \"I think my mother is the most beautiful woman in the world.\" :)"}
{"id": 8, "topic": 4, "question_title": "What is the origin of \"foobar\"?", "question_content": "I want to know the meaning of the word and how to explain to my friends.", "best_answer": "Not sure if this is the origin, but I think it was popularized in the 1989 film \"Tango & Cash\". After Tango, played by Sylvester Stallone, and Cash, portrayed by Kurt Russell, were thrown into jail and setup in a failed jailbreak attempt, the bad guy Yves Perret (Jack Pallance) locked them in the boiler room with a bunch of felons Tango & Cash had put in jail. Prior to unleashing a can of whoop-ass, their conversation was as follows:\\nGabriel Cash: I don't know about you, but I have an aversion to getting F.U.B.A.R...\\nRay Tango: What's F.U.B.A.R.?\\nGabriel Cash: Fucked-Up Beyond All Recognition."}
{"id": 9, "topic": 1, "question_title": "How the human species evolved?", "question_content": "How the human species evolved?", "best_answer": "A tough question as it overlaps science and theology. Since you asked \"how the human species evolved?\" I'll assume you're interested in the scientific approach to the answer.\\nThe current theory holds that Homo sapiens evolved from Hominid ancestors over the course of millions of years through a process called natural selection. Natural selection is the weeding and advancement of species variants over time based on the fit in that species' then current environments. The pressures for \"fit\" are competitive (with each other, with other tribes, and with other animals) and environmental (weather, terrain, availability of food, etc.). These factors all contributed to the development of our higher brain, which we now use to evolve as a global collective through communication & technology."}
{"Source": "it_events", "Event": "It is PersonY's favorite color", "Xintent": "[\"none\"]", "Xemotion": "[\"none\"]", "Otheremotion": "[\"happy\"]", "Xsent": null, "Osent": 4.0}
{"Source": "it_events", "Event": "It is PersonY's favorite color", "Xintent": "[\"none\"]", "Xemotion": "[\"none\"]", "Otheremotion": "[\"pleased\"]", "Xsent": null, "Osent": 4.0}
{"Source": "it_events", "Event": "It is PersonY's favorite color", "Xintent": "[\"none\"]", "Xemotion": "[\"none\"]", "Otheremotion": "[\"happy\", \"pleased\"]", "Xsent": null, "Osent": 5.0}
{"Source": "it_events", "Event": "It is a good thing", "Xintent": "[\"none\"]", "Xemotion": "[\"none\"]", "Otheremotion": "[\"happy\", \"satisfied\"]", "Xsent": null, "Osent": 5.0}
{"Source": "it_events", "Event": "It is a good thing", "Xintent": "[\"none\"]", "Xemotion": "[\"none\"]", "Otheremotion": "[\"happy\", \"thrilled\"]", "Xsent": null, "Osent": 5.0}
{"Source": "it_events", "Event": "It takes days", "Xintent": "[\"none\"]", "Xemotion": "[\"none\"]", "Otheremotion": "[\"impatient\"]", "Xsent": null, "Osent": 2.0}
{"text": "Training a CTC-based model for automatic speech recognition."}
{"text": "Introduction"}
{"text": "Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech to text (STT). It incorporates knowledge and research in the computer science, linguistics and computer engineering fields."}
{"text": "We will use the LJSpeech dataset from the LibriVox project. It consists of short audio clips of a single speaker reading passages from 7 non-fiction books."}
{"text": "We will evaluate the quality of the model using Word Error Rate (WER). WER is obtained by adding up the substitutions, insertions, and deletions that occur in a sequence of recognized words. Divide that number by the total number of words originally spoken. The result is the WER. To get the WER score you need to install the jiwer package. You can use the following command line:"}
{"domains": ["Attitude & Emotion"], "dataset": "dailydialog", "original_id": "train-0", "turns": [{"dialogue_acts": {"binary": [{"domain": "", "intent": "directive", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 0, "utterance": "Say, Jim, how about going for a few beers after dinner?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "commissive", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 1, "utterance": "You know that is tempting but is really not good for our fitness."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 2, "utterance": "What do you mean? It will help us to relax."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 3, "utterance": "Do you really think so? I don't. It will just make us fat and act silly. Remember last time?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 4, "utterance": "I guess you are right. But what shall we do? I don't feel like sitting at home."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "directive", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 5, "utterance": "I suggest a walk over to the gym where we can play singsong and meet some of our friends."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "commissive", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "happiness", "speaker": "user", "utt_idx": 6, "utterance": "That's a good idea. I hear Mary and Sally often go there to play pingpong. Perhaps we can make a foursome with them."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "happiness", "speaker": "system", "utt_idx": 7, "utterance": "Sounds great to me! If they are willing, we could ask them to go dancing with us. That is excellent exercise and fun, too."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "directive", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "happiness", "speaker": "user", "utt_idx": 8, "utterance": "Good. Let' s go now."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "commissive", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "happiness", "speaker": "system", "utt_idx": 9, "utterance": "All right."}], "data_split": "train", "dialogue_id": "dailydialog-train-0"}
{"domains": ["Relationship"], "dataset": "dailydialog", "original_id": "train-1", "turns": [{"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 0, "utterance": "Can you do push-ups?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 1, "utterance": "Of course I can. It's a piece of cake! Believe it or not, I can do 30 push-ups a minute."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "surprise", "speaker": "user", "utt_idx": 2, "utterance": "Really? I think that's impossible!"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 3, "utterance": "You mean 30 push-ups?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 4, "utterance": "Yeah!"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 5, "utterance": "It's easy. If you do exercise everyday, you can make it, too."}], "data_split": "train", "dialogue_id": "dailydialog-train-1"}
{"domains": ["Relationship"], "dataset": "dailydialog", "original_id": "train-2", "turns": [{"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 0, "utterance": "Can you study with the radio on?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 1, "utterance": "No, I listen to background music."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 2, "utterance": "What is the difference?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 3, "utterance": "The radio has too many comerials."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 4, "utterance": "That's true, but then you have to buy a record player."}], "data_split": "train", "dialogue_id": "dailydialog-train-2"}
{"domains": ["Relationship"], "dataset": "dailydialog", "original_id": "train-4", "turns": [{"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 0, "utterance": "Hey John, nice skates. Are they new?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 1, "utterance": "Yeah, I just got them. I started playing ice hockey in a community league. So, I finally got myself new skates."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 2, "utterance": "What position do you play?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 3, "utterance": "I'm a defender. It's a lot of fun. You don't have to be able to skate as fast on defense."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 4, "utterance": "Yeah, you're a pretty big guy. I play goalie, myself."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "surprise", "speaker": "system", "utt_idx": 5, "utterance": "Oh, yeah? Which team?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 6, "utterance": "The Rockets."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "directive", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "surprise", "speaker": "system", "utt_idx": 7, "utterance": "Really? I think we play you guys next week. Well, I have to go to practice. See you later."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "commissive", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 8, "utterance": "All right, see you later."}], "data_split": "train", "dialogue_id": "dailydialog-train-4"}
{"domains": ["Relationship"], "dataset": "dailydialog", "original_id": "train-5", "turns": [{"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 0, "utterance": "Hey Lydia, what are you reading?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "happiness", "speaker": "system", "utt_idx": 1, "utterance": "I'm looking at my horoscope for this month! My outlook is very positive. It says that I should take a vacation to someplace exotic, and that I will have a passionate summer fling!"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 2, "utterance": "What are you talking about? Let me see that... What are horoscopes?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 3, "utterance": "It's a prediction of your month, based on your zodiac sign. You have a different sign for the month and date you were born in. I was born on April 15th, so I'm an Aries. When were you born?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 4, "utterance": "January 5th."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "happiness", "speaker": "system", "utt_idx": 5, "utterance": "Let's see. . . you're a Capricorn. It says that you will be feeling stress at work, but you could see new, exciting developments in your love life. Looks like we'll both have interesting summers!"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 6, "utterance": "That's bogus. I don't feel any stress at work, and my love life is practically nonexistent. This zodiac stuff is all a bunch of nonsense."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 7, "utterance": "No, it's not, your astrology sign can tell you a lot about your personality. See? It says that an Aries is energetic and loves to socialize."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 8, "utterance": "Well, you certainly match those criteria, but they're so broad they could apply to anyone. What does it say about me?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "happiness", "speaker": "system", "utt_idx": 9, "utterance": "A Capricorn is serious-minded and practical. She likes to do things in conventional ways. That sounds just like you!"}], "data_split": "train", "dialogue_id": "dailydialog-train-5"}
{"domains": ["Relationship"], "dataset": "dailydialog", "original_id": "train-6", "turns": [{"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 0, "utterance": "Frank's getting married, do you believe this?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "surprise", "speaker": "system", "utt_idx": 1, "utterance": "Is he really?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 2, "utterance": "Yes, he is. He loves the girl very much."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 3, "utterance": "Who is he marring?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 4, "utterance": "A girl he met on holiday in Spain, I think."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 5, "utterance": "Have they set a date for the wedding?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 6, "utterance": "Not yet."}], "data_split": "train", "dialogue_id": "dailydialog-train-6"}
{"domains": ["Relationship"], "dataset": "dailydialog", "original_id": "train-7", "turns": [{"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 0, "utterance": "I hear you bought a new house in the northern suburbs."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 1, "utterance": "That's right, we bought it the same day we came on the market."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 2, "utterance": "What kind of house is it?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "happiness", "speaker": "system", "utt_idx": 3, "utterance": "It's a wonderful Spanish style."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "happiness", "speaker": "user", "utt_idx": 4, "utterance": "Oh, I love the roof tiles on Spanish style houses."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "happiness", "speaker": "system", "utt_idx": 5, "utterance": "And it's a bargaining. A house like this in river side costs double the price."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "happiness", "speaker": "user", "utt_idx": 6, "utterance": "Great, is it a two bedroom house?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 7, "utterance": "No, it has three bedrooms and three beds, and has a living room with a twelve-foot ceiling. There's a two-car garage."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "happiness", "speaker": "user", "utt_idx": 8, "utterance": "That's a nice area too. It'll be a good investment for you."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 9, "utterance": "Yeas, when will you buy a house?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 10, "utterance": "Not untill the end of this year, you know, just before my wedding."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "happiness", "speaker": "system", "utt_idx": 11, "utterance": "Right, congratulations."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "happiness", "speaker": "user", "utt_idx": 12, "utterance": "Thank you."}], "data_split": "train", "dialogue_id": "dailydialog-train-7"}
{"domains": ["Attitude & Emotion"], "dataset": "dailydialog", "original_id": "train-8", "turns": [{"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 0, "utterance": "Hi, Becky, what's up?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 1, "utterance": "Not much, except that my mother-in-law is driving me up the wall."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 2, "utterance": "What's the problem?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 3, "utterance": "She loves to nit-pick and criticizes everything that I do. I can never do anything right when she's around."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 4, "utterance": "For example?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 5, "utterance": "Well, last week I invited her over to dinner. My husband and I had no problem with the food, but if you listened to her, then it would seem like I fed her old meat and rotten vegetables. There's just nothing can please her."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 6, "utterance": "No, I can't see that happening. I know you're a good cook and nothing like that would ever happen."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 7, "utterance": "It's not just that. She also criticizes how we raise the kids."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 8, "utterance": "My mother-in-law used to do the same thing to us. If it wasn't disciplining them enough, then we were disciplining them too much. She also complained about the food we fed them, the schools we sent them too, and everything else under the sun."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 9, "utterance": "You said she used to? How did you stop her?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 10, "utterance": "We basically sat her down and told her how we felt about her constant criticizing, and how we welcomed her advice but hoped she'd let us do our things. She understood, and now everything is a lot more peaceful."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "happiness", "speaker": "system", "utt_idx": 11, "utterance": "That sounds like a good idea. I'll have to try that."}], "data_split": "train", "dialogue_id": "dailydialog-train-8"}
{"domains": ["Attitude & Emotion"], "dataset": "dailydialog", "original_id": "train-9", "turns": [{"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 0, "utterance": "How are Zina's new programmers working out?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 1, "utterance": "I hate to admit it, but they're good. And fast. The Filipino kid is a genius."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "question", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 2, "utterance": "So you'll make the Stars.com deadline, and have us up and running next week?"}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 3, "utterance": "It'll be close, but we'll make it."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "user", "utt_idx": 4, "utterance": "Good. After Stars.com starts paying us, we won't need Vikam's cash anymore."}, {"dialogue_acts": {"binary": [{"domain": "", "intent": "inform", "slot": ""}], "categorical": [], "non-categorical": []}, "emotion": "no emotion", "speaker": "system", "utt_idx": 5, "utterance": "And if we don't need them, we won't need Zina, either."}], "data_split": "train", "dialogue_id": "dailydialog-train-9"}
{"text": "@jayxderxmensch @jayxthexhuman Wieso? Was findest du da unklar?", "binary": "OTHER", "multi": "OTHER"}
{"docid": "12#0", "title": "Anarchism", "text": "Anarchism is a political philosophy that advocates self-governed societies based on voluntary, cooperative institutions and the rejection of hierarchies those societies view as unjust. These institutions are often described as stateless societies, although several authors have defined them more specifically as institutions based on non-hierarchical or free associations. Anarchism holds capitalism, the state, and representative democracy to be undesirable, unnecessary, and harmful."}
{"docid": "12#1", "title": "Anarchism", "text": "While opposition to the state is central, many forms of anarchism specifically entail opposing authority or hierarchical organisation in the conduct of all human relations. Anarchism is often considered a far-left ideology, and much of anarchist economics and anarchist legal philosophy reflect anti-authoritarian interpretations of communism, collectivism, syndicalism, mutualism, or participatory economics."}
{"docid": "12#2", "title": "Anarchism", "text": "Anarchism does not offer a fixed body of doctrine from a single particular world view, instead fluxing and flowing as a philosophy. Many types and traditions of anarchism exist, not all of which are mutually exclusive. Anarchist schools of thought can differ fundamentally, supporting anything from extreme individualism to complete collectivism. Strains of anarchism have often been divided into the categories of social and individualist anarchism or similar dual classifications."}
{"docid": "12#4", "title": "Anarchism", "text": "The first political philosopher to call himself an anarchist was Pierre-Joseph Proudhon, marking the formal birth of anarchism in the mid-nineteenth century. Since the 1890s and beginning in France, the term \"libertarianism\" has often been used as a synonym for anarchism and its use as a synonym is still common outside the United States. On the other hand, some use libertarianism to refer to individualistic free market philosophy only, referring to free market anarchism as libertarian anarchism."}
{"docid": "12#6", "title": "Anarchism", "text": "Modern anarchism emerged from the secular or religious thought of the Enlightenment, particularly Jean-Jacques Rousseau's arguments for the moral centrality of freedom.\nAs part of the political turmoil of the 1790s in the wake of the French Revolution, William Godwin developed the first expression of modern anarchist thought. According to Peter Kropotkin, Godwin was \"the first to formulate the political and economical conceptions of anarchism, even though he did not give that name to the ideas developed in his work\" while Godwin attached his anarchist ideas to an early Edmund Burke."}
{"docid": "12#7", "title": "Anarchism", "text": "Godwin is generally regarded as the founder of the school of thought known as philosophical anarchism. He argued in \"Political Justice\" (1793) that government has an inherently malevolent influence on society and that it perpetuates dependency and ignorance. He thought that the spread of the use of reason to the masses would eventually cause government to wither away as an unnecessary force. Although he did not accord the state with moral legitimacy, he was against the use of revolutionary tactics for removing the government from power. Rather, he advocated for its replacement through a process of peaceful evolution."}
{"docid": "12#8", "title": "Anarchism", "text": "His aversion to the imposition of a rules-based society led him to denounce as a manifestation of the people's \"mental enslavement\" the foundations of law, property rights and even the institution of marriage. He considered the basic foundations of society as constraining the natural development of individuals to use their powers of reasoning to arrive at a mutually beneficial method of social organisation. In each case, government and its institutions are shown to constrain the development of our capacity to live wholly in accordance with the full and free exercise of private judgement."}
{"premise": "The image links are broken.", "hypothesis": "The image links are broken.", "label": 2, "new": 0, "probability": 1.0, "id": "52a36220-e4c8-11ec-9cdd-0242ac1c0002"}
{"premise": "A woman is applying mascara.", "hypothesis": "A woman is putting on makeup.", "label": 2, "new": 0, "probability": 0.995650103, "id": "55f1f40a-e4c8-11ec-9cdd-0242ac1c0002"}
{"premise": "A man in black is juggling 3 flamed bottles.", "hypothesis": "A man is juggling.", "label": 2, "new": 0, "probability": 0.979918018, "id": "63d7e124-e4c8-11ec-9cdd-0242ac1c0002"}
{"premise": "A young woman walking by a rolling door.", "hypothesis": "The woman walked by a revolving door.", "label": 2, "new": 0, "probability": 0.075612921, "id": "6b63f8f6-e4c8-11ec-9cdd-0242ac1c0002"}
{"premise": "People waiting at a light on bikes.", "hypothesis": "The people are on bikes.", "label": 0, "new": 0, "probability": 0.996675444, "id": "4978688a-e4c8-11ec-9cdd-0242ac1c0002"}
{"premise": "Bicyclists waiting at an intersection.", "hypothesis": "The bicycles are on a road.", "label": 0, "new": 0, "probability": 0.995863809, "id": "497810a6-e4c8-11ec-9cdd-0242ac1c0002"}
{"premise": "Cheerleaders are on the field cheering.", "hypothesis": "There are people outdoors.", "label": 0, "new": 0, "probability": 0.929742901, "id": "4986031e-e4c8-11ec-9cdd-0242ac1c0002"}
{"premise": "Cute little kids pretending to get married.", "hypothesis": "Two children playing.", "label": 0, "new": 0, "probability": 0.752295643, "id": "55320b22-e4c8-11ec-9cdd-0242ac1c0002"}
{"premise": "Two people walk outside in a nature area.", "hypothesis": "There are people taking a stroll.", "label": 0, "new": 0, "probability": 0.751425797, "id": "5b42d2b2-e4c8-11ec-9cdd-0242ac1c0002"}
{"premise": "A woman wearing an apron is working.", "hypothesis": "The woman has work to do", "label": 0, "new": 0, "probability": 0.749377745, "id": "718e5366-e4c8-11ec-9cdd-0242ac1c0002"}
{"text": "Autumn: u sewn anything?\r\nAutumn: show me show me!! :D\r\nAutumn: <file_gif>\r\nIsrael: no :(\r\nIsrael: haven't had the time yet ;(\r\nAutumn: ooh :( \r\nAutumn: u need to have pririorities in life!\r\nAutumn: like me - i haven't checked the tests for a month because the dress wouldn't sew itself :D\r\nIsrael: you've sewn a dres??\r\nIsrael: you didn't show it to me\r\nAutumn: oh didn't i?\r\nAutumn: there will be some photos on the site soon so you'll see it:)\r\nIsrael: sure will! can't wait!:D\r\nAutumn: <file_other>\r\nAutumn: haven't i showed you this?\r\nIsrael: noo!! it's wonderful!!\r\nAutumn: thanks :)\r\nIsrael: can't wait to see the whole dress! :)", "target": "Autumn has sewn a dress.", "evaluation_predictions": [0, 32099, 3, 2, 11966, 834, 122, 99, 3155, 23321, 65, 263, 3, 9, 3270, 5, 32098, 23321, 56, 504, 25, 8, 829, 3270, 1116, 5, 32097, 23321, 5, 32096, 23321, 5, 3352, 5, 23321, 10, 27, 31, 162, 142, 210, 29, 424, 5, 3352, 10, 27, 43, 29, 31, 17, 141, 8, 97, 780, 5, 23321, 11, 3352, 56, 217, 34]}
{"text": "Joe: This job is wearing me up\r\nTim: Oh no! I thought you love it\r\nJoe: I do, but because of it they give me more work\r\nSam: Shit, this sucks man, don't let it burn you out\r\nTim: Exactly, like my friend Terry\r\nJoe: What did he do?\r\nTim: Quit eventually, but he had trouble sleeping, constantly tired, and turned out to have an ulcer\r\nJoe: Fuck! I gotta slow down", "target": "Joe's job is wearing him up. Tim's friend Terry quit his job because he was burned out.", "evaluation_predictions": [0, 32099, 4967, 10399, 112, 613, 5, 4967, 10399, 250, 3, 88, 47, 7718, 5, 4485, 31, 7, 1565, 18163, 10399, 5, 4967, 31, 7, 613, 19, 5119, 376, 91, 5, 4967, 65, 12, 2684, 323, 5, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}
{"text": "Leo: Check this out\r\nLeo: <file_video>\r\nCharlie: Whaaaaaaaat\r\nOliver: God\r\nOliver: What's that??\r\nLeo: Seems like prank\r\nLeo: But actually I dunno xD\r\nOliver: 03:24\r\nOliver: WTF\r\nLeo: Hahahah, my fav part\r\nLeo: Of that random crap\r\nOliver: People are so weird sometimes\r\nLeo: I knew you'd like it xD\r\nCharlie: Wellllllll I have mixed feelings :D:D\r\nLeo: Hahahahah, wait till 05:24\r\nCharlie: Omg, too much for me\r\nCharlie: My eyes!!\r\nLeo: Hahahahahah\r\nLeo: xDDDDDD", "target": "Leo, Charlie and Oliver are watching a video with a bizarre prank. Charlie has ambivalent feelings. Leo and Oliver enjoy the video's weirdness very much especially moments 3:24 and 5:24.", "evaluation_predictions": [0, 32099, 5, 32098, 11253, 32097, 3, 226, 11253, 11253, 11253, 32096, 3, 226, 308, 312, 32, 10, 3, 2, 11966, 834, 17241, 3155, 312, 32, 1622, 12707, 48, 671, 5, 12707, 11, 15865, 114, 34, 5, 312, 32, 11, 12707, 43, 4838, 6382, 81, 34, 5, 12707, 10, 3, 4, 11253, 11253, 5, 1, 0, 0, 0, 0, 0, 0, 0]}
{"text": "Julie: hey guys... could you just talk to me for a bit? I just watched this Japanese horror movie and I'm home alone and a little uneasy (aka scared shitless)\r\nRose: Jesus, why on earth would you watch a Japanese horror, home alone at this hour?\r\nJulie: Cause I'm a fucking moron?\r\nRose: Cause you're a fuckin moron. \r\nPaula: 5 point for Gryffindor, my friend. But in your defense, I always thought you were quite unaffected by horror movies.\r\nJulie: That's what I thought too!\r\nPaula: So what kinda movie was it?\r\nJulie: <file_other>\r\nRose: seems pretty generic\r\nJulie: It's scarier than it looks.\r\nRose: you know that japanese horror are the worst ones, right?\r\nJulie: I know that now.\r\nPaula: If... you want me to come over I can.\r\nJulie: omg really? <3\r\nPaula: Yeah, sure, it's like 20 minutes by bike to your house, we can drink cocoa and watch \"when harry met Sally\" until we fall asleep ;)\r\nJulie: Omg Thank you so much, I love you!\r\nRose: I wish I lived in your neighborhood :(\r\nPaula: We can chip in for an Uber for you :D\r\nJulie: Let's have a spontaneous sleepover :D\r\nRose: Oh, man it's late, but why the hell not.\r\nRose: I'll bring cookies for the cocoa :D\r\nJulie: yay :D", "target": "Julie has just watched a Japanese horror. She's alone at home and really scared. Paula and Rose are going to come to her place for a spontaneous sleepover. They'll drink cocoa and watch \"When Harry met Sally.\" Rose will bring cookies.", "evaluation_predictions": [0, 32099, 5, 1838, 9, 56, 830, 5081, 21, 8, 11530, 9, 5, 12983, 11, 5088, 56, 43, 3, 9, 2085, 1890, 44, 5088, 31, 7, 629, 5, 5088, 56, 830, 3711, 7, 5, 5088, 11, 1838, 9, 33, 352, 12, 830, 5081, 5, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}
{"text": "Kayla: what time are you going to bring her?\r\nKayla: was it 11am?\r\nKatherine: hey, i guess so. \r\nKatherine: i'll have to ask dad and get back to you later ok?\r\nKayla: ok \r\nKatherine: why, is there a problem?\r\nKayla: noooo\r\nKayla: i'm just making sure:)\r\nKayla: it turned out i finish at 11\r\nKayla: so it will be even less problematic ;)\r\nKatherine: ok :)\r\nKatherine: yeah dad just texted me\r\nKatherine: it's around 11\r\nKayla: ok", "target": "Katherine will bring her to Kayla around 11.", "evaluation_predictions": [0, 32099, 28311, 19, 352, 12, 830, 160, 300, 850, 265, 5, 14168, 521, 31, 7, 7370, 10062, 26, 160, 24, 34, 31, 7, 300, 7806, 14168, 521, 19, 3, 3770, 160, 300, 7806, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}
{"text": "Jack: Cocktails later?\r\nMay: YES!!!\r\nMay: You read my mind...\r\nJack: Possibly a little tightly strung today?\r\nMay: Sigh... without question.\r\nJack: Thought so.\r\nMay: A little drink will help!\r\nJack: Maybe two!", "target": "Jack and May will drink cocktails later.", "evaluation_predictions": [0, 32099, 4496, 11, 932, 33, 352, 12, 43, 3, 9, 360, 6750, 865, 5, 32098, 4496, 10, 27477, 7, 865, 5, 932, 11, 4496, 56, 43, 192, 6750, 5, 4496, 10, 3836, 192, 5, 932, 10, 27, 317, 78, 5, 4496, 11, 4496, 33, 578, 192, 19005, 865, 5, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}
{"text": "Lily: I need to rent a pop corn machine\r\nDaniel: :D\r\nLily: for our office Christmas party\r\nDaniel: very Christmasy\r\nLily: We will screen Love Actually :P\r\nDaniel: oh I get it now\r\nLily: Do you know someone who rents them?\r\nDaniel: I'll check!", "target": "Daniel will find out who rents a pop corn machines on Lily's request.", "evaluation_predictions": [0, 32099, 5, 1414, 120, 523, 12, 3170, 3, 9, 2783, 7329, 1437, 21, 69, 828, 1619, 1088, 5, 4173, 56, 691, 5, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}
{"_data_files": [{"filename": "dataset.arrow"}], "_fingerprint": "8cd73e62cc3c57e0", "_format_columns": ["target", "text"], "_format_kwargs": {}, "_format_type": null, "_indexes": {}, "_output_all_columns": false, "_split": null}
{"sepal.length": 5.099999904632568, "sepal.width": 3.5, "petal.length": 1.399999976158142, "petal.width": 0.20000000298023224, "variety": 0}
{"sepal.length": 4.900000095367432, "sepal.width": 3.0, "petal.length": 1.399999976158142, "petal.width": 0.20000000298023224, "variety": 0}
{"sepal.length": 4.699999809265137, "sepal.width": 3.200000047683716, "petal.length": 1.2999999523162842, "petal.width": 0.20000000298023224, "variety": 0}
{"sepal.length": 4.599999904632568, "sepal.width": 3.0999999046325684, "petal.length": 1.5, "petal.width": 0.20000000298023224, "variety": 0}