Datasets:
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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 ({'options', 'normalized_correct_opt', 'correct_answer', 'question_info', 'price', 'normalized_options'}) and 11 missing columns ({'extra_info', 'correct_attempts', 'ep_num', 'category', 'wrong_attempts', 'round_name', 'value', 'coord', 'answer', 'daily_double', 'air_date'}). This happened while the csv dataset builder was generating data using hf://datasets/RedBlock/parrot/millionaire.csv (at revision 946987f59cfda8a40f58ae159e29ceb6e15ad5d9) 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 2013, 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 question_info: string question: string options: string correct_answer: string price: int64 normalized_options: string normalized_correct_opt: string -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1134 to {'ep_num': Value(dtype='string', id=None), 'air_date': Value(dtype='string', id=None), 'extra_info': Value(dtype='string', id=None), 'round_name': Value(dtype='string', id=None), 'coord': Value(dtype='string', id=None), 'category': Value(dtype='string', id=None), 'value': Value(dtype='string', id=None), 'daily_double': Value(dtype='string', id=None), 'question': Value(dtype='string', id=None), 'answer': Value(dtype='string', id=None), 'correct_attempts': Value(dtype='float64', id=None), 'wrong_attempts': Value(dtype='float64', 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 1396, 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 1045, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1029, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1124, 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 1884, 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 2015, 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 ({'options', 'normalized_correct_opt', 'correct_answer', 'question_info', 'price', 'normalized_options'}) and 11 missing columns ({'extra_info', 'correct_attempts', 'ep_num', 'category', 'wrong_attempts', 'round_name', 'value', 'coord', 'answer', 'daily_double', 'air_date'}). This happened while the csv dataset builder was generating data using hf://datasets/RedBlock/parrot/millionaire.csv (at revision 946987f59cfda8a40f58ae159e29ceb6e15ad5d9) 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)
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
ep_num
string | air_date
string | extra_info
string | round_name
string | coord
string | category
string | value
string | daily_double
string | question
string | answer
string | correct_attempts
float64 | wrong_attempts
float64 |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Jeopardy | (1, 1) | LAKES & RIVERS | (100,) | False | River mentioned most often in the Bible | the Jordan | 1 | 1 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Jeopardy | (2, 1) | INVENTIONS | (100,) | False | Marconi's wonderful wireless | the radio | 0 | 3 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Jeopardy | (3, 1) | ANIMALS | (100,) | False | These rodents first got to America by stowing away on ships | rats | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Jeopardy | (4, 1) | FOREIGN CUISINE | (100,) | False | The "coq" in coq au vin | chicken | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Jeopardy | (5, 1) | ACTORS & ROLES | (100,) | False | Video in which Michael Jackson plays a werewolf & a zombie | "Thriller" | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Jeopardy | (1, 2) | LAKES & RIVERS | (200,) | False | Scottish word for lake | loch | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Jeopardy | (2, 2) | INVENTIONS | (200,) | False | In 1869 an American minister created this "oriental" transportation | the rickshaw | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Jeopardy | (3, 2) | ANIMALS | (200,) | False | There are about 40,000 muscles & tendons in this part of an elephant's body | the trunk | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Jeopardy | (4, 2) | FOREIGN CUISINE | (200,) | False | A British variety is called "bangers", a Mexican variety, "chorizo" | sausages | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Jeopardy | (5, 2) | ACTORS & ROLES | (200,) | False | 2 "Saturday Night" alumni who tried "Trading Places" | Dan Aykroyd & Eddie Murphy | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Jeopardy | (1, 3) | LAKES & RIVERS | (800,) | True | River in this famous song: | the Volga River | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Jeopardy | (2, 3) | INVENTIONS | (300,) | False | A 1920's hunting trip to Canada inspired Birdseye's food preserving method | freezing | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Jeopardy | (3, 3) | ANIMALS | (300,) | False | When husbands "pop" for an ermine coat, they're actually buying this fur | a weasel | 0 | 3 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Jeopardy | (4, 3) | FOREIGN CUISINE | (300,) | False | Jewish crepe filled with cheese | a blintz | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Jeopardy | (5, 3) | ACTORS & ROLES | (300,) | False | He may "Never Say Never Again" when asked to be Bond | Sean Connery | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Jeopardy | (1, 4) | LAKES & RIVERS | (400,) | False | American river only 33 miles shorter than the Mississippi | the Missouri | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Jeopardy | (2, 4) | INVENTIONS | (400,) | False | This fastener gets its name from a brand of galoshes it was used on | a zipper | 0 | 3 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Jeopardy | (3, 4) | ANIMALS | (400,) | False | Close relative of the pig, though its name means "river horse" | the hippopotamus | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Jeopardy | (4, 4) | FOREIGN CUISINE | (400,) | False | French for a toothsome cut of beef served to a twosome | Châteaubriand | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Jeopardy | (5, 4) | ACTORS & ROLES | (400,) | False | The blonde preferred in the film "Gentlemen Prefer Blondes" | Marilyn Monroe | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Jeopardy | (1, 5) | LAKES & RIVERS | (500,) | False | World's largest lake, nearly 5 times as big as Superior | the Caspian Sea | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Jeopardy | (3, 5) | ANIMALS | (500,) | False | If this species of hybrid's parents were reversed, you'd get a hinny | mule | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Jeopardy | (5, 5) | ACTORS & ROLES | (500,) | False | Sam Shepard played this barrier breaker in "The Right Stuff" | Colonel Chuck Yeager | 1 | 1 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (1, 1) | THE BIBLE | (200,) | False | When "Joshua Fit The Battle Of Jericho", these took a tumble | the walls | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (2, 1) | '50'S TV | (200,) | False | Occupation of Richard Diamond, Peter Gunn & Mike Hammer | private eyes (or private detectives) | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (3, 1) | NATIONAL LANDMARKS | (200,) | False | She came from France to harbor America's freedom | the Statue of Liberty | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (5, 1) | NOTORIOUS | (200,) | False | It was probably a lyre, not a fiddle, if he played it while Rome burned | Nero | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (6, 1) | 4-LETTER WORDS | (200,) | False | Pulled the trigger or what's in a jigger | shot | 1 | 1 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (1, 2) | THE BIBLE | (400,) | False | His price was 30 pieces of silver | Judas | 1 | 1 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (2, 2) | '50'S TV | (400,) | False | She was "Our Miss Brooks" | Eve Arden | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (3, 2) | NATIONAL LANDMARKS | (400,) | False | When he was home, George Washington slept here | Mount Vernon | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (5, 2) | NOTORIOUS | (400,) | False | His book, translated as "My Struggle", outlined plans to conquer Europe | Adolf Hitler | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (6, 2) | 4-LETTER WORDS | (400,) | False | Basketball defense or Serling's twilight area | zone | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (1, 3) | THE BIBLE | (600,) | False | According to the Bible, it wasn't necessarily an apple | the forbidden fruit (or the fruit of the Tree of Knowledge) | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (2, 3) | '50'S TV | (600,) | False | Amount Michael Anthony gave out each week on behalf of John Beresford Tipton | $1 million | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (3, 3) | NATIONAL LANDMARKS | (600,) | False | The cornerstone of Massachusetts, it bears the date 1620 | Plymouth Rock | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (5, 3) | NOTORIOUS | (600,) | False | Lenin called him ruthless, and his purges proved he was | Stalin | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (6, 3) | 4-LETTER WORDS | (600,) | False | Little girls do it with a rope, Van Halen does it in a song | jump | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (1, 4) | THE BIBLE | (800,) | False | Though its name means "city of peace", it's seen over 30 wars, the last in 1967 | Jerusalem | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (2, 4) | '50'S TV | (800,) | False | His card read "Have gun, will travel" | Paladin (Richard Boone) | 1 | 1 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (3, 4) | NATIONAL LANDMARKS | (800,) | False | Site where John Hancock signed his "John Hancock" | Independence Hall | 1 | 1 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (6, 4) | 4-LETTER WORDS | (1000,) | True | It's the first 4-letter word in "The Star Spangled Banner" | what | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (1, 5) | THE BIBLE | (1000,) | False | According to 1st Timothy, it is the "root of all evil" | the love of money | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (2, 5) | '50'S TV | (1000,) | False | Name under which experimenter Don Herbert taught viewers all about science | Mr. Wizard | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (3, 5) | NATIONAL LANDMARKS | (1000,) | False | D.C. building shaken by November '83 bomb blast | the Capitol | 1 | 2 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (5, 5) | NOTORIOUS | (1000,) | False | After the deed, he leaped to the stage shouting "Sic semper tyrannis" | John Wilkes Booth | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Double Jeopardy | (6, 5) | 4-LETTER WORDS | (1000,) | False | The president takes one before stepping into office | oath | 1 | 0 |
1 | 1984-09-10 | Premiere episode with Alex Trebek as host. | Final Jeopardy | (1, 1) | HOLIDAYS | (2500, 3700, 300) | False | The third Monday of January starting in 1986 | Martin Luther King Day | 3 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (1, 1) | STATE CAPITALS | (100,) | False | Until 1875 its dual capitals were New Haven & Hartford | Connecticut | 1 | 1 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (2, 1) | THE '40'S | (100,) | False | Though faster than a speeding bullet, he was ruled 4-F | Superman | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (4, 1) | TRANSPORTATION | (100,) | False | Type of auto engine, or a tomato cocktail | V8 | 0 | 3 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (5, 1) | COUNTRY MUSIC | (100,) | False | A grandma before her 30th birthday, she's the real "Coal Miner's Daughter" | Loretta Lynn | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (6, 1) | BY THE NUMBERS | (100,) | False | The 2 digits that give James Bond license to kill | 00 | 1 | 1 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (1, 2) | STATE CAPITALS | (200,) | False | This N.M. town is the oldest city that's a state capital | Santa Fe | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (2, 2) | THE '40'S | (200,) | False | By war's end, they had banked over 13 million units of blood for plasma | the Red Cross | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (4, 2) | TRANSPORTATION | (200,) | False | Lindbergh was not first to fly the Atlantic, but first to do it this way | solo | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (5, 2) | COUNTRY MUSIC | (200,) | False | Nashville's Ryman Auditorium was its home for years | the Grand Ole Opry | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (6, 2) | BY THE NUMBERS | (200,) | False | Three Dog Night called this the loneliest number | "One" | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (1, 3) | STATE CAPITALS | (300,) | False | Crossing the Delaware on Xmas, 1776, Washington defeated the Hessians at this N.J. capital | Trenton | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (2, 3) | THE '40'S | (300,) | False | Not his singing, but a lack of lunch caused fan to swoon at his Paramount Theater concert | Frank Sinatra | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (4, 3) | TRANSPORTATION | (300,) | False | Derived from words "American", "travel", & "track", it provides most U.S. passenger rail service | Amtrak | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (5, 3) | COUNTRY MUSIC | (300,) | False | In "True Grit", he played a cowboy, but not his famous Rhinestone one | Glen Campbell | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (6, 3) | BY THE NUMBERS | (300,) | False | Number of red stripes on current U.S. flag | 7 | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (1, 4) | STATE CAPITALS | (400,) | False | It actually is 5,280 feet above sea level | Denver | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (2, 4) | THE '40'S | (400,) | False | Destination of MacArthur's "I shall return" | the Philippines | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (4, 4) | TRANSPORTATION | (400,) | False | London's, not New York's, was the first ever built | subway (underground, metro) | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (5, 4) | COUNTRY MUSIC | (400,) | False | His famed San Quentin concert inspired inmate Merle Haggard | Johnny Cash | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (6, 4) | BY THE NUMBERS | (400,) | True | Total of Disney's Dalmatians and dwarfs | 108 | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (1, 5) | STATE CAPITALS | (500,) | False | The name shows its founder, Roger Williams, believed God led him there | Providence | 0 | 3 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (2, 5) | THE '40'S | (500,) | False | Wartime pseudonym of Mrs. I. Toguri D'Aquino | Tokyo Rose | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (4, 5) | TRANSPORTATION | (500,) | False | Changing lines, you could have at one time ridden these from Freeport, IL to Utica, NY | streetcars | 1 | 2 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Jeopardy | (6, 5) | BY THE NUMBERS | (500,) | False | Broadway hit that takes Fellini film a ½ step further | Nine | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (1, 1) | WILD WEST | (200,) | False | One of its newspapers was appropriately called "The Epitaph" | Tombstone | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (2, 1) | OPERA | (200,) | False | The Lone Ranger's theme is the opera's overture | (The) William Tell (Overture) | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (3, 1) | SPORTS | (200,) | False | The Greeks reckoned time from this event, first held in Olympia in 776 B.C. | the Olympics | 0 | 3 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (4, 1) | BIOLOGY | (200,) | False | Genus Rana; frequent victim of biology class dissections | a frog | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (5, 1) | FOREIGN PHRASES | (200,) | False | In Germany, said before a toast & after a sneeze | Gesundheit | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (6, 1) | RELIGION | (200,) | False | He was the doubter among the Apostles | (St.) Thomas | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (1, 2) | WILD WEST | (400,) | False | She once shot a cigarette from the mouth of the German crown prince | Annie Oakley | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (2, 2) | OPERA | (400,) | False | Profession of Rossini's Figaro | a barber | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (4, 2) | BIOLOGY | (400,) | False | L.B.J.'s hound dog or Darwin's ship | the Beagle | 1 | 1 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (5, 2) | FOREIGN PHRASES | (400,) | False | American equivalent to English "the bonnet on a lorry" | the hood of a truck | 1 | 1 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (6, 2) | RELIGION | (400,) | False | Continent with the largest Jewish population | North America | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (1, 3) | WILD WEST | (600,) | False | In 650,000 miles the mail was lost only once | the Pony Express | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (2, 3) | OPERA | (1000,) | True | This aria from "Pagliacci" gave him the first million-selling record ever | Enrico Caruso | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (4, 3) | BIOLOGY | (600,) | False | The basic unit of life; 3 billion die every minute in your body | cells | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (5, 3) | FOREIGN PHRASES | (600,) | False | From French, it literally means "a pen name" | nom de plume | 1 | 1 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (6, 3) | RELIGION | (600,) | False | Color of smoke signifying election of new Pope | white | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (1, 4) | WILD WEST | (800,) | False | Brothers Virgil & Morgan were shot here, but Wyatt Earp emerged unscathed | (the gunfight at) the OK Corral | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (2, 4) | OPERA | (800,) | False | Lt. Pinkerton's girlfriend Cio-Cio-San | Madame Butterfly | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (4, 4) | BIOLOGY | (800,) | False | It puts the green in greenery | chlorophyll | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (5, 4) | FOREIGN PHRASES | (800,) | False | The vidi, in "Veni, vidi, vici" | I saw | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (6, 4) | RELIGION | (800,) | False | This Buddhist sect seeks truth through concepts like "the sound of one hand clapping" | Zen | 1 | 1 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (1, 5) | WILD WEST | (1000,) | False | It ran 2,000 miles, from Independence, Missouri to Oregon City, Oregon | the Oregon Trail | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (2, 5) | OPERA | (1000,) | False | 1976 was also the bicentennial of this famed Milan opera house | Teatro alla Scala | 0 | 3 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (4, 5) | BIOLOGY | (1000,) | False | Deoxyribonucleic acid | DNA | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Double Jeopardy | (6, 5) | RELIGION | (1000,) | False | This word for the Mohammedan religion means "submission to the will of God" | Islam | 1 | 0 |
2 | 1984-09-11 | Second episode. Three-way tie at zero. | Final Jeopardy | (1, 1) | THE CALENDAR | (1100, 5000, 9500) | False | Calendar date with which the 20th century began | January 1, 1901 | 0 | 3 |
3 | 1984-09-12 | Third episode. | Jeopardy | (1, 1) | U.S. HISTORY | (100,) | False | This colonial inventor suggested Daylight Saving Time | Benjamin Franklin | 1 | 0 |
3 | 1984-09-12 | Third episode. | Jeopardy | (2, 1) | 3-LETTER WORDS | (100,) | False | A fedora, homburg or derby | a hat | 1 | 0 |
NOTE: It is suggested that you clone this repository, as the Datasets package might raise an exception for different split features.
Dataset Card for PARROT
Performance Assessment of Reasoning and Responses on Trivia (PARROT) is a validated LLM benchmarking dataset that leverages game show data for a more realistic evaluation of Large Language Models (LLMs). Curated by Redblock, this dataset offers unique challenges through its open-ended and closed-ended question formats, derived from the popular game shows Jeopardy and Who Wants to Be a Millionaire.
Dataset Details
Dataset Description
PARROT is designed to provide a robust evaluation of LLM performance through diverse QA tasks. It is comprised of two distinct datasets:
PARROT-Jeopardy: A dataset consisting of questions from the game show Jeopardy, featuring short, concise questions for testing reasoning and ambiguity handling.
PARROT-Millionaire: A dataset consisting of questions from the game show Who Wants to Be a Millionaire, known for its straightforward nature and broad range of topics. This dataset is valuable for evaluating an LLM's knowledge.
- Curated by: Redblock
- Shared by: Redblock
- License: cc-by-4.0
Uses
Direct Use
PARROT is designed to benchmark the performance of Large Language Models (LLMs) in Question-Answering tasks, particularly over trivia.
Dataset Structure
PARROT-Jeopardy
- ep_num: Episode number from the season.
- air_date: Date when the episode aired.
- extra_info: Additional episode information, including the host's name.
- round_name: The round being played (e.g., Jeopardy, Double Jeopardy, Final Jeopardy).
- coord: Coordinates of the clues on the game board.
- category: Clue category.
- value: Monetary value of the clue.
- daily_double: Boolean indicating if the clue is part of the Daily Double round.
- question: The clue itself.
- answer: Labeled answer or guess.
- correct_attempts: Count of contestants who answered correctly.
- wrong_attempts: Count of contestants who answered incorrectly.
PARROT-Millionaire
- question_info: Describes the price value and the current question number.
- question: The question in text form.
- options: Four predefined options corresponding to the question.
- correct_answer: Labeled correct answer.
- price: Engineered feature from Question Info, indicating the dollar value of the question.
- normalized_options: Engineered feature providing text normalization for the options.
- normalized_correct_opt: Engineered feature providing text normalization for the correct answer.
Dataset Creation
Curation Rationale
PARROT was created to address the need for a more realistic and challenging benchmarking dataset for LLMs. By using game show data, the dataset captures a wide range of question types and difficulties, providing a comprehensive evaluation tool.
Source Data
Data Collection and Processing
Data for PARROT-Jeopardy was curated from seven key seasons of Jeopardy the game show to ensure a representative sample across the show's timeline. The data was scraped from the J!Archive, a fan-created archive containing over 500,000 clues.
PARROT-Millionaire was created by scraping data from the Millionaire Fandom site. The data was organized and processed to ensure consistency and reliability.
Who are the source data producers?
The original data for PARROT-Jeopardy was sourced from the fan-created archive of the original show Jeopardy, while the data for PARROT-Millionaire was sourced from the Millionaire Fandom site.
Personal and Sensitive Information
The dataset does not contain personal, sensitive, or private information.
Citation
BibTeX: If you use this dataset in your research, please cite it as follows:
@dataset{parrot2024,
author = {Redblock AI Team},
title = {PARROT: Performance Assessment of Reasoning and Responses on Trivia},
year = 2024,
publisher = {Redblock},
url = {https://huggingface.co./datasets/redblock/parrot},
license = {CC BY 4.0}
}
APA:
Redblock AI Team. (2024). PARROT: Performance Assessment of Reasoning and Responses on Trivia. Redblock. Available at https://huggingface.co./datasets/redblock-ai/parrot.
More Information
For more information, visit redblock.ai.
Dataset Card Authors
Redblock AI Team
Dataset Card Contact
For inquiries, visit redblock.ai.
dataset_info.json
{
"description": "PARROT is a validated LLM benchmarking dataset that leverages game show data for a more realistic evaluation of Large Language Models (LLMs). Curated by Redblock, this dataset offers unique challenges through its open-ended and closed-ended question formats, derived from the popular game shows Jeopardy! and Who Wants to Be a Millionaire?",
"homepage": "https://huggingface.co./datasets/redblock-ai/parrot",
"license": "cc-by-4.0",
"citation": "@dataset{parrot2024,\nauthor = {Redblock AI Team},\ntitle = {PARROT: Performance Assessment of Reasoning and Responses on Trivia},\nyear = 2024,\npublisher = {Redblock},\nurl = {https://huggingface.co./datasets/redblock/parrot},\nlicense = {CC BY 4.0}\n}",
"version": "1.0.0",
"splits": {
"jeopardy": {"num_examples": 61462},
"millionaire": {"num_examples": 22698}
},
"download_size": 20000000,
"dataset_size": 20000000
}
Disclaimer
Important Notice:
The datasets curated in this benchmark include content derived from fan-created sites related to Who Wants to Be a Millionaire? Fandom and J! Archive. These datasets are intended solely for research, educational purposes, and non-commercial use. Redblock does not claim ownership of, nor does it have any affiliation with, the creators or copyright holders of Who Wants to Be a Millionaire? and J! Archive.Who Wants to Be a Millionaire? Fandom and J! Archive are registered trademarks of their respective owners. Redblock's use of these materials is protected under the fair use doctrine as defined by U.S. copyright law, which permits the use of copyrighted material for purposes such as criticism, commentary, news reporting, teaching, scholarship, and research.
Redblock has modified these datasets in compliance with U.S. law to ensure that the content remains within the boundaries of fair use. Any modifications or derived works created from these datasets should also adhere to the principles of fair use and respect the intellectual property rights of the original content creators.
This benchmark is provided by Redblock "as-is" without any guarantee of accuracy or fitness for a particular purpose. Users of this benchmark are encouraged to respect copyright laws and the intellectual property rights of the original content creators. The datasets should not be used for commercial purposes without obtaining proper authorization from the rights holders.
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