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wjwilliam
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Clean_LaVe

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The dataset generation failed because of a cast error

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 6 new columns ({'entity_2', 'entity_1', 'pure_text', 'label', 'lang', 'id'}) and 2 missing columns ({'text_piece', 'event_mentions'}).

This happened while the json dataset builder was generating data using

hf://datasets/wjwilliam/Clean_LaVe/smiler/it/train.json (at revision 5d83150386aac544637db8ac3eb14fe3cdd23480)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: int64
              entity_1: string
              entity_2: string
              label: string
              text: string
              lang: string
              pure_text: string
              to
              {'text_piece': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'text': Value(dtype='string', id=None), 'event_mentions': [{'trigger': Value(dtype='string', id=None), 'trigger_be': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'event_type': Value(dtype='string', id=None), 'arguments': [{'arg': Value(dtype='string', id=None), 'arg_be': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'role': Value(dtype='string', id=None), 'type': Value(dtype='string', id=None)}]}]}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1324, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 938, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 6 new columns ({'entity_2', 'entity_1', 'pure_text', 'label', 'lang', 'id'}) and 2 missing columns ({'text_piece', 'event_mentions'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/wjwilliam/Clean_LaVe/smiler/it/train.json (at revision 5d83150386aac544637db8ac3eb14fe3cdd23480)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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text_piece sequence	text string	event_mentions sequence
[ "CNN_CF_20030303.1900.00" ]	CNN_CF_20030303.1900.00	[]
[ "STORY" ]	STORY	[]
[ "2003", "-", "03", "-", "03T19:00:00", "-", "05:00" ]	2003 - 03 - 03T19:00:00 - 05:00	[]
[ "New", "Questions", "About", "Attacking", "Iraq", ";", "Is", "Torturing", "Terrorists", "Necessary", "?" ]	New Questions About Attacking Iraq ; Is Torturing Terrorists Necessary ?	[]
[ "BEGALA", "Well", ",", "we", "'ll", "debate", "that", "later", "on", "in", "the", "show", "." ]	BEGALA Well , we 'll debate that later on in the show .	[]
[ "We", "'ll", "have", "a", "couple", "of", "experts", "come", "out", ",", "so", "I", "'ll", "withhold", "my", "comments", "until", "then", "." ]	We 'll have a couple of experts come out , so I 'll withhold my comments until then .	[]
[ "Even", "as", "the", "secretary", "of", "homeland", "security", "was", "putting", "his", "people", "on", "high", "alert", "last", "month", ",", "a", "30-foot", "Cuban", "patrol", "boat", "with", "four", "heavily", "armed", "men", "landed", "on", "American", "shores", ",", "utterly", "undetected", "by", "the", "Coast", "Guard", "Secretary", "Ridge", "now", "leads", "." ]	Even as the secretary of homeland security was putting his people on high alert last month , a 30-foot Cuban patrol boat with four heavily armed men landed on American shores , utterly undetected by the Coast Guard Secretary Ridge now leads .	[ { "trigger": "landed", "trigger_be": [ 27, 27 ], "event_type": "Movement.Transport", "arguments": [ { "arg": "boat", "arg_be": [ 21, 21 ], "role": "Vehicle", "type": "VEH" }, { "arg": "men", "arg_be": [ 26, 26 ], "role": "Artifact", "type": "PER" }, { "arg": "shores", "arg_be": [ 30, 30 ], "role": "Destination", "type": "LOC" } ] } ]
[ "Now", ",", "why", "has", "our", "president", "placed", "homeland", "security", "in", "the", "hands", "of", "Republican", "political", "hacks", "instead", "of", "professionals", ",", "by", "the", "way", "?", "Attorney", "General", "John", "Ashcroft", ",", "for", "example", ",", "is", "a", "career", "politician", "." ]	Now , why has our president placed homeland security in the hands of Republican political hacks instead of professionals , by the way ? Attorney General John Ashcroft , for example , is a career politician .	[]
[ "He", "lost", "an", "election", "to", "a", "dead", "man", "." ]	He lost an election to a dead man .	[ { "trigger": "election", "trigger_be": [ 3, 3 ], "event_type": "Personnel.Elect", "arguments": [ { "arg": "man", "arg_be": [ 7, 7 ], "role": "Person", "type": "PER" } ] } ]
[ "Secretary", "of", "Homeland", "Security", "Tom", "Ridge", "is", "another", "career", "politician", "who", "was", "passed", "over", "by", "Mr.", "Bush", "for", "the", "vice", "presidency", "." ]	Secretary of Homeland Security Tom Ridge is another career politician who was passed over by Mr. Bush for the vice presidency .	[]
[ "And", "Deputy", "Secretary", "of", "Homeland", "Security", "Asa", "Hutchinson", "is", "yet", "another", "career", "politician", "and", "a", "graduate", "of", "the", "disgraceful", "Bob", "Jones", "University", "." ]	And Deputy Secretary of Homeland Security Asa Hutchinson is yet another career politician and a graduate of the disgraceful Bob Jones University .	[]
[ "Apparently", ",", "Mr.", "Bush", "only", "turns", "to", "professionals", "when", "it", "'s", "really", "important", ",", "like", "political", "consulting", "." ]	Apparently , Mr. Bush only turns to professionals when it 's really important , like political consulting .	[]
[ "NOVAK", "Paul", ",", "as", "I", "understand", "your", "definition", "of", "a", "political", "--", "of", "a", "professional", "politician", "based", "on", "that", "is", "somebody", "who", "is", "elected", "to", "public", "office", "." ]	NOVAK Paul , as I understand your definition of a political -- of a professional politician based on that is somebody who is elected to public office .	[ { "trigger": "elected", "trigger_be": [ 23, 23 ], "event_type": "Personnel.Elect", "arguments": [] } ]
[ "Now", "in", "your", "administration", ",", "the", "Clinton", "administration", ",", "there", "were", "these", "members", "of", "the", "cabinet", "who", "by", "your", "definition", "were", "professional", "politicians", "--", "Lloyd", "Bentsen", ",", "Les", "Aspin", ",", "William", "S.", "Cohen", ",", "Janet", "Reno", ",", "Bruce", "Babbitt", ",", "Mike", "Espy", ",", "Dan", "Glickman", ",", "Norman", "Mineta", ",", "Henry", "Cisneros", ",", "Federico", "Pena", ",", "Bill", "Richardson", ",", "Richard", "Riley", ",", "12", "of", "them", ",", "not", "to", "mention", "former", "Democratic", "National", "Chairman", "Ron", "Brown", ",", "and", "one", "of", "the", "great", "professional", "politicians", "of", "all", "time", ",", "Bill", "Daly", "." ]	Now in your administration , the Clinton administration , there were these members of the cabinet who by your definition were professional politicians -- Lloyd Bentsen , Les Aspin , William S. Cohen , Janet Reno , Bruce Babbitt , Mike Espy , Dan Glickman , Norman Mineta , Henry Cisneros , Federico Pena , Bill Richardson , Richard Riley , 12 of them , not to mention former Democratic National Chairman Ron Brown , and one of the great professional politicians of all time , Bill Daly .	[]
[ "BEGALA", "And", "you", "know", "what", ",", "they", "did", "a", "hell", "of", "a", "job", "for", "our", "country", "." ]	BEGALA And you know what , they did a hell of a job for our country .	[]
[ "And", "these", "bozos", "let", "four", "armed", "Cubans", "land", "on", "our", "shores", "when", "they", "'re", "trying", "to", "make", "a", "high", "terrorist", "alert", "." ]	And these bozos let four armed Cubans land on our shores when they 're trying to make a high terrorist alert .	[ { "trigger": "land", "trigger_be": [ 7, 7 ], "event_type": "Movement.Transport", "arguments": [ { "arg": "bozos", "arg_be": [ 2, 2 ], "role": "Agent", "type": "PER" }, { "arg": "Cubans", "arg_be": [ 6, 6 ], "role": "Artifact", "type": "PER" }, { "arg": "shores", "arg_be": [ 10, 10 ], "role": "Destination", "type": "LOC" } ] } ]
[ "Our", "president", "has", "put", "homeland", "security", "in", "the", "hands", "of", "failed", "Republican", "hacks", "." ]	Our president has put homeland security in the hands of failed Republican hacks .	[]
[ "Hire", "professionals", ",", "Mr.", "President", "." ]	Hire professionals , Mr. President .	[ { "trigger": "Hire", "trigger_be": [ 0, 0 ], "event_type": "Personnel.Start-Position", "arguments": [ { "arg": "professionals", "arg_be": [ 1, 1 ], "role": "Person", "type": "PER" } ] } ]
[ "NOVAK", "So", "it", "'s", "OK", "--", "it", "'s", "OK", "to", "have", "professional", "politicians", "at", "the", "Justice", "Department", "and", "the", "Pentagon", "..." ]	NOVAK So it 's OK -- it 's OK to have professional politicians at the Justice Department and the Pentagon ...	[]
[ "BEGALA", "Janet", "Reno", "was", "a", "career", "prosecutor", "." ]	BEGALA Janet Reno was a career prosecutor .	[]
[ "NOVAK", "Just", "a", "minute", ",", "let", "me", "finish", "my", "sentence", ",", "please", "." ]	NOVAK Just a minute , let me finish my sentence , please .	[]
[ "It", "'s", "OK", "to", "put", "Democratic", "career", "politicians", "at", "the", "Pentagon", "and", "the", "Justice", "Department", "if", "they", "'re", "Democrats", "but", "not", "if", "they", "'re", "Republicans", ",", "is", "that", "right", "?" ]	It 's OK to put Democratic career politicians at the Pentagon and the Justice Department if they 're Democrats but not if they 're Republicans , is that right ?	[ { "trigger": "put", "trigger_be": [ 4, 4 ], "event_type": "Personnel.Start-Position", "arguments": [ { "arg": "politicians", "arg_be": [ 7, 7 ], "role": "Person", "type": "PER" }, { "arg": "Pentagon", "arg_be": [ 10, 10 ], "role": "Entity", "type": "ORG" }, { "arg": "Justice Department", "arg_be": [ 13, 14 ], "role": "Entity", "type": "ORG" } ] } ]
[ "BEGALA", "No", ",", "the", "difference", "is", "Janet", "Reno", "was", "a", "career", "prosecutor", "." ]	BEGALA No , the difference is Janet Reno was a career prosecutor .	[]
[ "(", "CROSSTALK", ")" ]	( CROSSTALK )	[]
[ "BEGALA", "John", "Ashcroft", "was", "n't", "half", "the", "woman", "that", "Janet", "Reno", "was", "." ]	BEGALA John Ashcroft was n't half the woman that Janet Reno was .	[]
[ "NOVAK", "Another", "potential", "Democratic", "presidential", "candidate", "pondered", "whether", "to", "run", ",", "and", "he", "made", "his", "announcement", ",", "and", "surprise", ",", "surprise", ",", "the", "answer", "was", "no", "." ]	NOVAK Another potential Democratic presidential candidate pondered whether to run , and he made his announcement , and surprise , surprise , the answer was no .	[]
[ "Senator", "Christopher", "Dodd", "of", "Connecticut", "made", "the", "announcement", "today", "that", "he", "would", "not", "be", "the", "10th", "candidate", "for", "the", "nomination", "." ]	Senator Christopher Dodd of Connecticut made the announcement today that he would not be the 10th candidate for the nomination .	[ { "trigger": "nomination", "trigger_be": [ 19, 19 ], "event_type": "Personnel.Nominate", "arguments": [ { "arg": "candidate", "arg_be": [ 16, 16 ], "role": "Person", "type": "PER" } ] } ]
[ "Why", "not", "?", "Surely", "Chris", "Dodd", "is", "at", "least", "more", "credible", "than", "Carol", "Moseley", "-", "Braun", "or", "Dennis", "Kucinich", "." ]	Why not ? Surely Chris Dodd is at least more credible than Carol Moseley - Braun or Dennis Kucinich .	[]
[ "He", "explained", "he", "could", "better", "spend", "the", "next", "two", "years", "on", "homeland", "security", ",", "the", "economy", "and", "judicial", "nominations", "." ]	He explained he could better spend the next two years on homeland security , the economy and judicial nominations .	[ { "trigger": "nominations", "trigger_be": [ 18, 18 ], "event_type": "Personnel.Nominate", "arguments": [] } ]
[ "I", "guess", "that", "means", "harassing", "Tom", "Ridge", ",", "fighting", "tax", "cuts", "and", "obstructing", "President", "Bush", "'s", "plans", "to", "reform", "judiciary", "." ]	I guess that means harassing Tom Ridge , fighting tax cuts and obstructing President Bush 's plans to reform judiciary .	[]
[ "Some", "two", "years", "." ]	Some two years .	[]
[ "BEGALA", "God", ",", "I", "hope", "so", "." ]	BEGALA God , I hope so .	[]
[ "that", "'s", "all", "I", "can", "say", "." ]	that 's all I can say .	[]
[ "I", "love", "Senator", "Dodd", "." ]	I love Senator Dodd .	[]
[ "He", "would", "have", "brought", "a", "lot", "to", "the", "race", "." ]	He would have brought a lot to the race .	[]
[ "He", "brings", "a", "lot", "to", "the", "Senate", "and", "to", "the", "debate", "." ]	He brings a lot to the Senate and to the debate .	[]
[ "And", "I", "'m", "glad", "that", "he", "'s", "going", "to", "be", "fighting", "those", "fights", "." ]	And I 'm glad that he 's going to be fighting those fights .	[]
[ "Well", ",", "the", "Commerce", "Department", "reports", "today", "that", "consumer", "spending", "declined", "in", "January", "and", "that", "the", "manufacturing", "sector", "slowed", "in", "February", "." ]	Well , the Commerce Department reports today that consumer spending declined in January and that the manufacturing sector slowed in February .	[]
[ "In", "all", ",", "two", "million", "Americans", "have", "lost", "their", "jobs", "under", "President", "Bush", "so", "far", ",", "not", "to", "mention", "three", "of", "them", "being", "the", "top", "three", "leaders", "of", "his", "economic", "team", "." ]	In all , two million Americans have lost their jobs under President Bush so far , not to mention three of them being the top three leaders of his economic team .	[]
[ "Meanwhile", ",", "the", "deficit", "now", "at", "$", "300", "billion", "." ]	Meanwhile , the deficit now at $ 300 billion .	[]
[ "It", "could", "swell", "to", "as", "much", "as", "$", "500", "billion", "if", "we", "go", "to", "war", "in", "Iraq", "." ]	It could swell to as much as $ 500 billion if we go to war in Iraq .	[ { "trigger": "war", "trigger_be": [ 14, 14 ], "event_type": "Conflict.Attack", "arguments": [ { "arg": "Iraq", "arg_be": [ 16, 16 ], "role": "Place", "type": "GPE" } ] } ]
[ "Mr.", "Bush", "apparently", "is", "untroubled", "by", "this", "fiscal", "collapse", "." ]	Mr. Bush apparently is untroubled by this fiscal collapse .	[]
[ "One", "of", "his", "aides", "tells", "the", "current", "issue", "of", "\"", "TIME", ",", "\"", "magazine", ",", "quote", ",", "\"", "even", "if", "it", "'s", "$", "500", "billion", ",", "so", "what", "?", "\"", "Of", "course", ",", "even", "a", "$", "500", "billion", "deficit", "number", "does", "n't", "count", "the", "$", "3", "trillion", "Mr.", "Bush", "is", "robbing", "from", "the", "Social", "Security", "trust", "fund", "." ]	One of his aides tells the current issue of " TIME , " magazine , quote , " even if it 's $ 500 billion , so what ? " Of course , even a $ 500 billion deficit number does n't count the $ 3 trillion Mr. Bush is robbing from the Social Security trust fund .	[]
[ "You", "know", ",", "we", "should", "have", "known", ",", "every", "time", "George", "W.", "Bush", "gets", "in", "trouble", ",", "he", "borrows", "from", "a", "trust", "fund", "." ]	You know , we should have known , every time George W. Bush gets in trouble , he borrows from a trust fund .	[]
[ "It", "'s", "been", "his", "whole", "life", ",", "you", "know", "." ]	It 's been his whole life , you know .	[]
[ "NOVAK", "Let", "me", "give", "you", "two", "economic", "facts", "of", "like", ",", "which", "you", "should", "know", ",", "even", "if", "you", "wo", "n't", "recognize", "them", "." ]	NOVAK Let me give you two economic facts of like , which you should know , even if you wo n't recognize them .	[]
[ "Number", "one", ",", "there", "is", "absolutely", "no", "relationship", "between", "the", "deficit", "and", "unemployment", "." ]	Number one , there is absolutely no relationship between the deficit and unemployment .	[]
[ "They", "do", "n't", "go", "together", "." ]	They do n't go together .	[]
[ "And", "number", "two", ",", "there", "is", "no", "Social", "Security", "fund", ",", "Virginia", ".", "There", "just", "is", "n't", "one", "." ]	And number two , there is no Social Security fund , Virginia . There just is n't one .	[]
[ "BEGALA", "Because", "Bush", "squandered", "it", "on", "his", "tax", "cuts", "." ]	BEGALA Because Bush squandered it on his tax cuts .	[]
[ "NOVAK", "There", "never", "has", "been", "one", "." ]	NOVAK There never has been one .	[]
[ "BEGALA", "There", "has", "been", "one", "for", "60", "years", "." ]	BEGALA There has been one for 60 years .	[]
[ "CNN_CF_20030303.1900.05" ]	CNN_CF_20030303.1900.05	[]
[ "STORY" ]	STORY	[]
[ "2003", "-", "03", "-", "03T19:00:00", "-", "05:00" ]	2003 - 03 - 03T19:00:00 - 05:00	[]
[ "New", "Questions", "About", "Attacking", "Iraq", ";", "Is", "Torturing", "Terrorists", "Necessary", "?" ]	New Questions About Attacking Iraq ; Is Torturing Terrorists Necessary ?	[]
[ "NOVAK", "Former", "Arkansas", "Governor", "and", "U.S.", "Senator", "Dale", "Bumpers", "has", "just", "published", "a", "memoir", "called", "\"", "The", "Best", "Lawyer", "in", "a", "One", "-", "Lawyer", "Town", ".", "\"", "And", "it", "spans", "his", "life", "from", "the", "depression", "era", "to", "the", "Clinton", "era", "." ]	NOVAK Former Arkansas Governor and U.S. Senator Dale Bumpers has just published a memoir called " The Best Lawyer in a One - Lawyer Town . " And it spans his life from the depression era to the Clinton era .	[ { "trigger": "Former", "trigger_be": [ 1, 1 ], "event_type": "Personnel.End-Position", "arguments": [ { "arg": "Arkansas", "arg_be": [ 2, 2 ], "role": "Entity", "type": "GPE" }, { "arg": "U.S.", "arg_be": [ 5, 5 ], "role": "Entity", "type": "GPE" }, { "arg": "Dale Bumpers", "arg_be": [ 7, 8 ], "role": "Person", "type": "PER" } ] } ]
[ "Let", "'s", "ask", "him", "which", "was", "more", "depressing", "." ]	Let 's ask him which was more depressing .	[]
[ "BEGALA", "First", ",", "thank", "you", "for", "writing", "this", "book", "." ]	BEGALA First , thank you for writing this book .	[]
[ "It", "is", "extraordinary", "." ]	It is extraordinary .	[]
[ "It", "is", "wonderful", "." ]	It is wonderful .	[]
[ "And", "then", "we", "read", "you", "one", "passage", "." ]	And then we read you one passage .	[]
[ "You", "cite", "a", "session", "you", "had", "with", "President", "Lyndon", "Johnson", "in", "Austin", ",", "I", "guess", ",", "at", "his", "ranch", ",", "right", "?", "Here", "is", "what", "you", "quote", "our", "President", "Johnson", "to", "you", "." ]	You cite a session you had with President Lyndon Johnson in Austin , I guess , at his ranch , right ? Here is what you quote our President Johnson to you .	[ { "trigger": "session", "trigger_be": [ 3, 3 ], "event_type": "Contact.Meet", "arguments": [ { "arg": "Lyndon Johnson", "arg_be": [ 8, 9 ], "role": "Entity", "type": "PER" }, { "arg": "ranch", "arg_be": [ 18, 18 ], "role": "Place", "type": "FAC" } ] } ]
[ "\"", "When", "I", "was", "majority", "leader", ",", "and", "later", "president", ",", "I", "spent", "all", "my", "time", "pulling", "every", "power", "string", "I", "could", "find", "to", "pull", ",", "trying", "to", "pass", "bills", "that", "helped", "people", ".", "That", "made", "their", "lives", "better", "and", "the", "country", "stronger", "." ]	" When I was majority leader , and later president , I spent all my time pulling every power string I could find to pull , trying to pass bills that helped people . That made their lives better and the country stronger .	[ { "trigger": "was", "trigger_be": [ 3, 3 ], "event_type": "Personnel.End-Position", "arguments": [] } ]
[ "That", "'s", "what", "the", "Democrats", "stand", "for", "." ]	That 's what the Democrats stand for .	[]
[ "\"", "\"", "Republicans", "?" ]	" " Republicans ?	[]
[ "Republicans", "just", "stand", "for", "two", "things", ":", "protecting", "the", "rich", "and", "investigation", "Democrats", ".", "\"", "That", "'s", "true", ",", "though", ",", "is", "n't", "it", "?" ]	Republicans just stand for two things : protecting the rich and investigation Democrats . " That 's true , though , is n't it ?	[]
[ "Johnson", "was", "right", ",", "was", "n't", "he", "?" ]	Johnson was right , was n't he ?	[]
[ "BUMPER", "I", "thought", "that", "was", "one", "of", "the", "most", "prescient", "things", "I", "ever", "heard", ",", "and", "that", "was", "long", "before", "White", "Water", "." ]	BUMPER I thought that was one of the most prescient things I ever heard , and that was long before White Water .	[]
[ "BEGALA", "Yes", "." ]	BEGALA Yes .	[]
[ "He", "never", "heard", "of", "Ken", "Starr", ",", "but", "he", "anticipated", "it", "." ]	He never heard of Ken Starr , but he anticipated it .	[]
[ "BUMPERS", "Nothing", "ever", "changes", ",", "Paul", "." ]	BUMPERS Nothing ever changes , Paul .	[]
[ "NOVAK", "Can", "I", "interrupt", "this", "Democratic", "picnic", "for", "just", "a", "minute", "?" ]	NOVAK Can I interrupt this Democratic picnic for just a minute ?	[]
[ "You", "know", ",", "Senator", ",", "inadvertently", ",", "you", "gave", "support", "in", "this", "book", "to", "one", "of", "my", "pet", "political", "themes", ",", "which", "you", "probably", "do", "n't", "agree", "with", "." ]	You know , Senator , inadvertently , you gave support in this book to one of my pet political themes , which you probably do n't agree with .	[]
[ "On", "page", "256", "you", "say", ",", "\"", "As", "the", "years", "went", "by", "\"", "--", "this", "is", "when", "you", "were", "in", "the", "Senate", "--", "\"", "less", "and", "less", "information", "was", "new", ",", "fewer", "and", "fewer", "arguments", "were", "fresh", ",", "and", "the", "repetitiveness", "of", "the", "old", "arguments", "became", "tiresome", ".", "\"", "\"", "I", "was", "becoming", "almost", "as", "cynical", "as", "my", "constituents", "." ]	On page 256 you say , " As the years went by " -- this is when you were in the Senate -- " less and less information was new , fewer and fewer arguments were fresh , and the repetitiveness of the old arguments became tiresome . " " I was becoming almost as cynical as my constituents .	[]
[ "I", "knew", "it", "was", "time", "to", "leave", "." ]	I knew it was time to leave .	[ { "trigger": "leave", "trigger_be": [ 6, 6 ], "event_type": "Personnel.End-Position", "arguments": [] } ]
[ "\"", "Is", "n't", "that", "a", "great", "argument", "for", "term", "limits", "?" ]	" Is n't that a great argument for term limits ?	[]
[ "I", "know", "very", "few", "senators", "or", "any", "who", "are", "as", "good", "in", "their", "third", "term", "as", "they", "are", "in", "their", "first", "term", "." ]	I know very few senators or any who are as good in their third term as they are in their first term .	[]
[ "Should", "n't", "we", "limit", "them", "to", "two", "terms", "?" ]	Should n't we limit them to two terms ?	[]
[ "BUMPERS", "First", "of", "all", ",", "that", "statement", "is", "not", "designed", "to", "cover", "everybody", "in", "the", "United", "States", "Senate", "." ]	BUMPERS First of all , that statement is not designed to cover everybody in the United States Senate .	[]
[ "But", "I", "must", "say", ",", "that", "'s", "a", "pretty", "accurate", "statement", ".", "But", "it", "has", "nothing", "do", "with", "term", "limits", ",", "in", "my", "opinion", "." ]	But I must say , that 's a pretty accurate statement . But it has nothing do with term limits , in my opinion .	[]
[ "I", "think", "term", "limits", "is", "the", "worst", "idea", "I", "ever", "heard", "of", "." ]	I think term limits is the worst idea I ever heard of .	[]
[ "(", "APPLAUSE", ")" ]	( APPLAUSE )	[]
[ "BEGALA", "Amen", "." ]	BEGALA Amen .	[]
[ "NOVAK", "I", "tried", "at", "least", "." ]	NOVAK I tried at least .	[]
[ "BEGALA", "Let", "me", "turn", "one", "more", "page", ",", "to", "page", "257", ",", "actually", ",", "right", "next", "door", "to", "where", "Bob", "was", "reading", "." ]	BEGALA Let me turn one more page , to page 257 , actually , right next door to where Bob was reading .	[]
[ "This", "struck", "me", "because", "you", "'ve", "got", "the", "courage", "to", "say", "something", "that", "is", "heretical", "today", "and", "it", "'s", "music", "to", "my", "ears", "." ]	This struck me because you 've got the courage to say something that is heretical today and it 's music to my ears .	[]
[ "You", "say", ",", "\"", "Partisanship", "has", "taken", "on", "an", "odious", "connotation", ",", "and", "it", "may", "indeed", "be", "shriller", "now", "than", "ever", "." ]	You say , " Partisanship has taken on an odious connotation , and it may indeed be shriller now than ever .	[]
[ "But", "we", "should", "n't", "lose", "sight", "of", "the", "fact", "that", "we", "have", "two", "political", "parties", "so", "people", "will", "have", "choices", "." ]	But we should n't lose sight of the fact that we have two political parties so people will have choices .	[]
[ "If", "everybody", "agreed", "on", "everything", ",", "it", "might", "be", "a", "tranquil", "society", ",", "but", "it", "surely", "would", "be", "a", "dole", "one", ",", "and", "certainly", "not", "certainly", "a", "good", "one", ".", "\"" ]	If everybody agreed on everything , it might be a tranquil society , but it surely would be a dole one , and certainly not certainly a good one . "	[]
[ "BUMPERS", "You", "know", ",", "Paul", ",", "that", "'s", "the", "reason", "we", "have", "two", "parties", ",", "so", "people", "have", "a", "choice", "." ]	BUMPERS You know , Paul , that 's the reason we have two parties , so people have a choice .	[]
[ "And", "I", "'ve", "said", "many", "times", ",", "if", "we", "all", "agreed", "on", "everything", ",", "everybody", "would", "want", "to", "marry", "Betty", "and", "we", "would", "really", "be", "in", "a", "mess", ",", "would", "n't", "we", ",", "Bob", "?" ]	And I 've said many times , if we all agreed on everything , everybody would want to marry Betty and we would really be in a mess , would n't we , Bob ?	[ { "trigger": "marry", "trigger_be": [ 18, 18 ], "event_type": "Life.Marry", "arguments": [ { "arg": "Betty", "arg_be": [ 19, 19 ], "role": "Person", "type": "PER" } ] } ]
[ "NOVAK", "Senator", "Bumpers", ",", "of", "the", "22", "senators", "of", "the", "old", "confederacy", ",", "when", "I", "got", "to", "Washington", "with", "the", "Associated", "Press", ",", "45", "years", "ago", ",", "22", "of", "them", "were", "Democrats", ",", "nine", "were", "Republicans", "." ]	NOVAK Senator Bumpers , of the 22 senators of the old confederacy , when I got to Washington with the Associated Press , 45 years ago , 22 of them were Democrats , nine were Republicans .	[ { "trigger": "got", "trigger_be": [ 15, 15 ], "event_type": "Movement.Transport", "arguments": [ { "arg": "Washington", "arg_be": [ 17, 17 ], "role": "Destination", "type": "GPE" }, { "arg": "Associated Press", "arg_be": [ 20, 21 ], "role": "Agent", "type": "ORG" } ] } ]
[ "Now", "13", "are", "Republicans", "and", "nine", "are", "Democrats", "." ]	Now 13 are Republicans and nine are Democrats .	[]
[ "And", "of", "the", "Democrats", ",", "I", "do", "n't", "think", "there", "is", "a", "real", "liberal", ".", "Your", "last", "year", "in", "the", "Senate", "I", "had", "an", "interview", "with", "you", "and", "I", "wrote", "a", "column", "called", "\"", "The", "Last", "Southern", "Liberal", ".", "\"" ]	And of the Democrats , I do n't think there is a real liberal . Your last year in the Senate I had an interview with you and I wrote a column called " The Last Southern Liberal . "	[]
[ "BUMPERS", "And", "I", "thank", "you", "." ]	BUMPERS And I thank you .	[]
[ "It", "was", "a", "very", "flattering", "article", ",", "Bob", "." ]	It was a very flattering article , Bob .	[]
[ "NOVAK", "And", "you", "said", ",", "I", "'ll", "quote", "it", ",", "you", "said", ",", "today", "'s", "Southern", "voters", "are", "\"", "children", "of", "Democrats", "who", "are", "not", "swayed", "by", "the", "same", "things", "their", "mothers", "and", "fathers", "were", "." ]	NOVAK And you said , I 'll quote it , you said , today 's Southern voters are " children of Democrats who are not swayed by the same things their mothers and fathers were .	[]
[ "They", "certainly", "are", "susceptible", "to", "the", "Republican", "message", "." ]	They certainly are susceptible to the Republican message .	[]
[ "\"", "That", "'s", "a", "good", "future", "for", "the", "Democratic", "Party", "in", "the", "South", "." ]	" That 's a good future for the Democratic Party in the South .	[]

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