MMTU-benchmark/MMTU huggingface dataset:
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name                                                            | Artist_Name   | Album_Name                                                               | Genre         | Price   | CopyRight                                                                                                                                                          | Time   | Released   |
|:---------------------------------------------------------------------|:--------------|:-------------------------------------------------------------------------|:--------------|:--------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------|:-----------|
| Hey Mama ( feat . Nicki Minaj , Bebe Rexha & Afrojack ) [ Extended ] | David Guetta  | Hey Mama ( feat . Nicki Minaj , Bebe Rexha & Afrojack ) [ Remixes ] - EP | Dance , Music | $ 1.29  | 2015 What A Music Ltd. under exclusive license to Parlophone/Warner Music France , under exclusive license to Atlantic Recording Corporation for the United States | 4:42   | 12-May-15  |

Entity B:
| Song_Name                                                                      | Artist_Name   | Album_Name                                                             | Genre              | Price   | CopyRight           | Time   | Released      |
|:-------------------------------------------------------------------------------|:--------------|:-----------------------------------------------------------------------|:-------------------|:--------|:--------------------|:-------|:--------------|
| Hey Mama ( feat . Nicki Minaj , Bebe Rexha & Afrojack ) [ Club Killers Remix ] | David Guetta  | Hey Mama ( feat . Nicki Minaj , Bebe Rexha & Afrojack ) [ Remixes EP ] | Dance & Electronic | $ 1.29  | 2015 Michelle Kelly | 4:01   | May 12 , 2015 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 1166
rtable_id: 21565
label: 0
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name                                                             | Artist_Name   | Album_Name                | Genre                                                  | Price   | CopyRight                                                                                                                                                                                  | Time   | Released   |
|:----------------------------------------------------------------------|:--------------|:--------------------------|:-------------------------------------------------------|:--------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------|:-----------|
| Dangerous ( feat . Sam Martin ) [ Robin Schulz Remix ] [ Radio Edit ] | David Guetta  | Listen ( Deluxe Version ) | Dance , Music , Rock , House , Electronic , French Pop | $ 1.29  | 2014 What A Music Ltd. under exclusive license to Parlophone/Warner Music France , under exclusive license to Atlantic Recording Corporation for the United States . All rights reserved . | 3:20   | 24-Nov-14  |

Entity B:
| Song_Name                                    | Artist_Name   | Album_Name        | Genre              | Price   | CopyRight                | Time   | Released           |
|:---------------------------------------------|:--------------|:------------------|:-------------------|:--------|:-------------------------|:-------|:-------------------|
| What I did for Love ( feat . Emeli SandÌ © ) | David Guetta  | Listen ( Deluxe ) | Dance & Electronic | $ 1.29  | 2015 If Moving Your Mine | 3:27   | November 24 , 2014 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 1156
rtable_id: 28014
label: 0
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name                 | Artist_Name          | Album_Name                | Genre                                                              | Price   | CopyRight                               | Time   | Released   |
|:--------------------------|:---------------------|:--------------------------|:-------------------------------------------------------------------|:--------|:----------------------------------------|:-------|:-----------|
| Here 's to the Good Times | Florida Georgia Line | Here 's to the Good Times | Country , Music , Urban Cowboy , Honky Tonk , Contemporary Country | $ 1.29  | ‰ ãÑ 2012 Big Machine Label Group , LLC | 4:11   | 4-Dec-12   |

Entity B:
| Song_Name                 | Artist_Name          | Album_Name                | Genre   | Price   | CopyRight                                | Time   | Released          |
|:--------------------------|:---------------------|:--------------------------|:--------|:--------|:-----------------------------------------|:-------|:------------------|
| Here 's To The Good Times | Florida Georgia Line | Here 's To The Good Times | Country | $ 1.29  | ( C ) 2012 Big Machine Label Group , LLC | 4:10   | December 4 , 2012 |



entityA: entityA.csv
entityB: entityB.csv
label: 1
original: ltable_id: 5761
rtable_id: 21517
label: 1
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name                               | Artist_Name   | Album_Name                                                                                      | Genre                                                        | Price   | CopyRight                  | Time   | Released   |
|:----------------------------------------|:--------------|:------------------------------------------------------------------------------------------------|:-------------------------------------------------------------|:--------|:---------------------------|:-------|:-----------|
| The Woodland Realm ( Extended Version ) | Howard Shore  | The Hobbit : The Desolation of Smaug ( Original Motion Picture Soundtrack ) [ Special Edition ] | Soundtrack , Music , Soundtrack , Classical , Original Score | $ 1.29  | ‰ ãÑ 2013 WaterTower Music | 5:14   | 10-Dec-13  |

Entity B:
| Song_Name                           | Artist_Name   | Album_Name                                                                                      | Genre       | Price   | CopyRight                                                                                  | Time   | Released           |
|:------------------------------------|:--------------|:------------------------------------------------------------------------------------------------|:------------|:--------|:-------------------------------------------------------------------------------------------|:-------|:-------------------|
| The High Fells ( Extended Version ) | Howard Shore  | The Hobbit : The Desolation of Smaug ( Original Motion Picture Soundtrack ) [ Special Edition ] | Soundtracks | $ 1.29  | 2013 WaterTower Music / Warner Bros. . Entertainment / Metro - Goldwyn Mayer Pictures Inc. | 3:38   | December 10 , 2013 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 5343
rtable_id: 47894
label: 0
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name   | Artist_Name   | Album_Name                         | Genre                                          | Price   | CopyRight                                                                                                                        | Time   | Released   |
|:------------|:--------------|:-----------------------------------|:-----------------------------------------------|:--------|:---------------------------------------------------------------------------------------------------------------------------------|:-------|:-----------|
| Yayo        | Lana Del Rey  | Born To Die - The Paradise Edition | Alternative , Music , Rock , Adult Alternative | $ 1.29  | ‰ ãÑ 2012 Lana Del Rey under exclusive licence to Polydor Ltd. ( UK ) . Under exclusive licence to Interscope Records in the USA | 5:21   | 13-Nov-12  |

Entity B:
| Song_Name   | Artist_Name   | Album_Name                                      | Genre            | Price   | CopyRight                                                                                                                         | Time   | Released           |
|:------------|:--------------|:------------------------------------------------|:-----------------|:--------|:----------------------------------------------------------------------------------------------------------------------------------|:-------|:-------------------|
| Yayo        | Lana Del Rey  | Born To Die - The Paradise Edition [ Explicit ] | Alternative Rock | $ 1.29  | ( C ) 2012 Lana Del Rey under exclusive licence to Polydor Ltd. ( UK ) . Under exclusive licence to Interscope Records in the USA | 3:57   | November 13 , 2012 |



entityA: entityA.csv
entityB: entityB.csv
label: 1
original: ltable_id: 6104
rtable_id: 7981
label: 1
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name                 | Artist_Name   | Album_Name        | Genre                                           | Price   | CopyRight                           | Time   | Released   |
|:--------------------------|:--------------|:------------------|:------------------------------------------------|:--------|:------------------------------------|:-------|:-----------|
| Get Free ( Andy C remix ) | Major Lazer   | Get Free - Single | Electronic , Music , Dance , Rock , Electronica | $ 1.29  | 2013 Secretly Canadian / Mad Decent | 5:31   | 27-Feb-13  |

Entity B:
| Song_Name                                                  | Artist_Name   | Album_Name                                         | Genre                            | Price   | CopyRight                                                                                   | Time   | Released           |
|:-----------------------------------------------------------|:--------------|:---------------------------------------------------|:---------------------------------|:--------|:--------------------------------------------------------------------------------------------|:-------|:-------------------|
| Keep It Goin ' Louder ( Savage Skulls Remix ) [ Explicit ] | Major Lazer   | Keep It Goin ' Louder ( Maxi Single ) [ Explicit ] | Electronica , Dance & Electronic | $ 0.99  | ( C ) 2009 Downtown Music , LLC . Downtown Records is a trademark of Downtown Music , LLC . | 5:03   | December 21 , 2009 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 337
rtable_id: 26104
label: 0
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name                                    | Artist_Name   | Album_Name                                            | Genre                                                      | Price   | CopyRight                        | Time   | Released   |
|:---------------------------------------------|:--------------|:------------------------------------------------------|:-----------------------------------------------------------|:--------|:---------------------------------|:-------|:-----------|
| Talk Dirty ( feat . 2 Chainz ) [ TJR Remix ] | Jason Derulo  | Talk Dirty ( feat . 2 Chainz ) [ TJR Remix ] - Single | Pop , Music , R&B / Soul , Rock , Dance , Contemporary R&B | $ 1.29  | 2014 Warner Bros. . Records Inc. | 4:07   | 2-May-14   |

Entity B:
| Song_Name                     | Artist_Name   | Album_Name           | Genre   | Price   | CopyRight                        | Time   | Released            |
|:------------------------------|:--------------|:---------------------|:--------|:--------|:---------------------------------|:-------|:--------------------|
| Kama Sutra ( feat . Kid Ink ) | Jason Derulo  | Talk Dirty [ Clean ] | Pop     | $ 1.29  | 2014 Warner Bros. . Records Inc. | 3:36   | September 10 , 2013 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 3922
rtable_id: 43866
label: 0
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name                     | Artist_Name   | Album_Name   | Genre                      | Price   | CopyRight               | Time   | Released   |
|:------------------------------|:--------------|:-------------|:---------------------------|:--------|:------------------------|:-------|:-----------|
| Illusion ( feat . Echosmith ) | Zedd          | True Colors  | Dance , Music , Electronic | $ 1.29  | 2015 Interscope Records | 6:30   | 18-May-15  |

Entity B:
| Song_Name                     | Artist_Name   | Album_Name   | Genre              | Price   | CopyRight                     | Time   | Released      |
|:------------------------------|:--------------|:-------------|:-------------------|:--------|:------------------------------|:-------|:--------------|
| Illusion [ feat . Echosmith ] | Zedd          | True Colors  | Dance & Electronic | $ 1.29  | ( C ) 2015 Interscope Records | 6:25   | May 18 , 2015 |



entityA: entityA.csv
entityB: entityB.csv
label: 1
original: ltable_id: 1413
rtable_id: 51590
label: 1
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name                                        | Artist_Name   | Album_Name                             | Genre                                          | Price   | CopyRight                                                                                                                         | Time   | Released   |
|:-------------------------------------------------|:--------------|:---------------------------------------|:-----------------------------------------------|:--------|:----------------------------------------------------------------------------------------------------------------------------------|:-------|:-----------|
| Second Chance ( Live Acoustic from Kansas City ) | Shinedown     | Somewhere In the Stratosphere ( Live ) | Rock , Music , Metal , Alternative , Hard Rock | $ 1.29  | 2011 Atlantic Recording Corporation for the United States and WEA International Inc. for the world outside of the United States . | 5:06   | 18-Apr-11  |

Entity B:
| Song_Name                                 | Artist_Name   | Album_Name                    | Genre   | Price   | CopyRight                | Time   | Released        |
|:------------------------------------------|:--------------|:------------------------------|:--------|:--------|:-------------------------|:-------|:----------------|
| Heroes ( Live Acoustic From Kansas City ) | Shinedown     | Somewhere In The Stratosphere | Rock    | $ 1.29  | ( C ) 2005 MCA Nashville | 8:09   | April 18 , 2011 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 1548
rtable_id: 41583
label: 0
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name                                   | Artist_Name   | Album_Name   | Genre                                                                                     | Price   | CopyRight                    | Time   | Released   |
|:--------------------------------------------|:--------------|:-------------|:------------------------------------------------------------------------------------------|:--------|:-----------------------------|:-------|:-----------|
| A+E ( feat . Kandaka Moore & Nikki Cislyn ) | Clean Bandit  | New Eyes     | Dance , Music , Electronic , Classical , Classical Crossover , Rock , House , Electronica | $ 1.29  | 2014 Warner Music UK Limited | 4:06   | 2-Jun-14   |

Entity B:
| Song_Name                        | Artist_Name   | Album_Name   | Genre                            | Price   | CopyRight                    | Time   | Released      |
|:---------------------------------|:--------------|:-------------|:---------------------------------|:--------|:-----------------------------|:-------|:--------------|
| Rather Be ( feat . Jess Glynne ) | Clean Bandit  | New Eyes     | Electronica , Dance & Electronic | $ 1.29  | ( C ) 2005 Rebel Records Llc | 3:47   | June 2 , 2014 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 2293
rtable_id: 33133
label: 0
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name                                                     | Artist_Name   | Album_Name                  | Genre         | Price   | CopyRight                                               | Time   | Released   |
|:--------------------------------------------------------------|:--------------|:----------------------------|:--------------|:--------|:--------------------------------------------------------|:-------|:-----------|
| Toyfriend ( feat . Wynter Gordon ) [ Continuous Mix Version ] | David Guetta  | One Love ( Deluxe Version ) | Dance , Music | $ 1.29  | 2010 Gum Prod licence exclusive Parlophone Music France | 2:51   | 21-Aug-09  |

Entity B:
| Song_Name                                                       | Artist_Name   | Album_Name                                 | Genre   | Price   | CopyRight                                                          | Time   | Released      |
|:----------------------------------------------------------------|:--------------|:-------------------------------------------|:--------|:--------|:-------------------------------------------------------------------|:-------|:--------------|
| Choose Me ( Album Version ( Edited ) ) [ feat . Sky ] [ Clean ] | David Banner  | Mississippi-The Album ( Explicit Version ) | Pop     | $ 0.99  | ( C ) 2003 Universal Records , a Division of UMG Recordings , Inc. | 4:24   | May 20 , 2003 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 1276
rtable_id: 31283
label: 0
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name                              | Artist_Name          | Album_Name                                                           | Genre                                                              | Price   | CopyRight                               | Time   | Released   |
|:---------------------------------------|:---------------------|:---------------------------------------------------------------------|:-------------------------------------------------------------------|:--------|:----------------------------------------|:-------|:-----------|
| Party People ( feat . Jaren Johnston ) | Florida Georgia Line | Here 's To the Good Times ... This Is How We Roll ( Deluxe Version ) | Country , Music , Urban Cowboy , Honky Tonk , Contemporary Country | $ 1.29  | ‰ ãÑ 2013 Big Machine Label Group , LLC | 3:40   | 25-Nov-13  |

Entity B:
| Song_Name                                           | Artist_Name          | Album_Name                    | Genre   | Price   | CopyRight                                | Time   | Released      |
|:----------------------------------------------------|:---------------------|:------------------------------|:--------|:--------|:-----------------------------------------|:-------|:--------------|
| This Is How We Roll ( Remix ) [ feat . Luke Bryan ] | Florida Georgia Line | This Is How We Roll ( Remix ) | Pop     | $ 1.29  | ( C ) 2014 Big Machine Label Group , LLC | 3:27   | June 4 , 2014 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 5748
rtable_id: 50409
label: 0
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name                                | Artist_Name   | Album_Name                                       | Genre                            | Price   | CopyRight          | Time   | Released   |
|:-----------------------------------------|:--------------|:-------------------------------------------------|:---------------------------------|:--------|:-------------------|:-------|:-----------|
| If I Am a Stranger ( Live In Amsterdam ) | Ryan Adams    | Live After Deaf ( Live ) [ Complete Collection ] | Singer/Songwriter , Music , Rock | $ 0.99  | 2012 PAXAM RECORDS | 5:10   | 2-Jul-12   |

Entity B:
| Song_Name                                        | Artist_Name   | Album_Name                     | Genre       | Price   | CopyRight          | Time   | Released      |
|:-------------------------------------------------|:--------------|:-------------------------------|:------------|:--------|:-------------------|:-------|:--------------|
| Do n't Fail Me Now ( Live in Malmo Bonus Track ) | Ryan Adams    | Live After Deaf ( Collection ) | Folk , Rock | $ 0.99  | 2012 PAXAM RECORDS | 5:43   | July 2 , 2012 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 2023
rtable_id: 28222
label: 0
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name                                                       | Artist_Name   | Album_Name           | Genre                                   | Price   | CopyRight                                                                                                                       | Time   | Released   |
|:----------------------------------------------------------------|:--------------|:---------------------|:----------------------------------------|:--------|:--------------------------------------------------------------------------------------------------------------------------------|:-------|:-----------|
| Why You Up In Here ( feat . Ludacris , Git Fresh & Gucci Mane ) | Flo Rida      | Only One Flo , Pt. 1 | Hip-Hop/Rap , Music , Rap , Dirty South | $ 1.29  | 2010 Atlantic Recording Corporation for the United States and WEA International Inc. for the world outside of the United States | 3:36   | 24-Nov-10  |

Entity B:
| Song_Name                                      | Artist_Name   | Album_Name                       | Genre         | Price   | CopyRight        | Time   | Released       |
|:-----------------------------------------------|:--------------|:---------------------------------|:--------------|:--------|:-----------------|:-------|:---------------|
| Street Money ( feat . Rick Ross ) [ Explicit ] | Flo Rida      | Welcome to Flo Rida [ Explicit ] | Rap & Hip-Hop | $ 0.99  | 2015 CMG Records | 3:57   | April 6 , 2015 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 3571
rtable_id: 53964
label: 0
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name                                 | Artist_Name   | Album_Name     | Genre                                   | Price   | CopyRight                                                                                                                       | Time   | Released   |
|:------------------------------------------|:--------------|:---------------|:----------------------------------------|:--------|:--------------------------------------------------------------------------------------------------------------------------------|:-------|:-----------|
| Money Right ( feat . Rick Ross & Brisco ) | Flo Rida      | Mail On Sunday | Hip-Hop/Rap , Music , Pop , Dirty South | $ 1.29  | 2008 Atlantic Recording Corporation for the United States and WEA International Inc. for the world outside of the United States | 3:16   | 18-Mar-08  |

Entity B:
| Song_Name                        | Artist_Name   | Album_Name               | Genre                                  | Price   | CopyRight                        | Time   | Released        |
|:---------------------------------|:--------------|:-------------------------|:---------------------------------------|:--------|:---------------------------------|:-------|:----------------|
| In The Ayer ( feat . will.I.am ) | Flo Rida      | Mail On Sunday [ Clean ] | Rap & Hip-Hop , Southern Rap , Pop Rap | $ 1.29  | 2013 Warner Bros. . Records Inc. | 3:40   | March 18 , 2008 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 3506
rtable_id: 30327
label: 0
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name                           | Artist_Name   | Album_Name   | Genre                                                                       | Price   | CopyRight                                                                     | Time   | Released   |
|:------------------------------------|:--------------|:-------------|:----------------------------------------------------------------------------|:--------|:------------------------------------------------------------------------------|:-------|:-----------|
| Epilogue ( feat . George the Poet ) | Naughty Boy   | Hotel Cabana | Pop , Music , R&B / Soul , Contemporary R&B , Hip-Hop/Rap , Pop/Rock , Rock | $ 1.29  | 2014 Naughty Boy Recordings Ltd under exclusive licence to Virgin Records Ltd | 1:28   | 6-May-14   |

Entity B:
| Song_Name                       | Artist_Name   | Album_Name                                   | Genre   | Price   | CopyRight                                                                           | Time   | Released     |
|:--------------------------------|:--------------|:---------------------------------------------|:--------|:--------|:------------------------------------------------------------------------------------|:-------|:-------------|
| Wonder [ feat . Emeli SandÌ © ] | Naughty Boy   | Hotel Cabana ( Deluxe Version ) [ Explicit ] | Pop     | $ 1.29  | ( C ) 2014 Naughty Boy Recordings Ltd under exclusive licence to Virgin Records Ltd | 3:27   | May 6 , 2014 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 291
rtable_id: 22283
label: 0
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name        | Artist_Name   | Album_Name                                                                                      | Genre                                                        | Price   | CopyRight                  | Time   | Released   |
|:-----------------|:--------------|:------------------------------------------------------------------------------------------------|:-------------------------------------------------------------|:--------|:---------------------------|:-------|:-----------|
| My Armor Is Iron | Howard Shore  | The Hobbit : The Desolation of Smaug ( Original Motion Picture Soundtrack ) [ Special Edition ] | Soundtrack , Music , Soundtrack , Classical , Original Score | $ 1.29  | ‰ ãÑ 2013 WaterTower Music | 5:16   | 10-Dec-13  |

Entity B:
| Song_Name        | Artist_Name   | Album_Name                                                                                      | Genre       | Price   | CopyRight                                                                                  | Time   | Released           |
|:-----------------|:--------------|:------------------------------------------------------------------------------------------------|:------------|:--------|:-------------------------------------------------------------------------------------------|:-------|:-------------------|
| My Armor Is Iron | Howard Shore  | The Hobbit : The Desolation of Smaug ( Original Motion Picture Soundtrack ) [ Special Edition ] | Soundtracks | $ 1.29  | 2013 WaterTower Music / Warner Bros. . Entertainment / Metro - Goldwyn Mayer Pictures Inc. | 5:16   | December 10 , 2013 |



entityA: entityA.csv
entityB: entityB.csv
label: 1
original: ltable_id: 5363
rtable_id: 47909
label: 1
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name                             | Artist_Name                   | Album_Name   | Genre                                                     | Price   | CopyRight                                                                                                                                                                                                     | Time   | Released   |
|:--------------------------------------|:------------------------------|:-------------|:----------------------------------------------------------|:--------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------|:-----------|
| Cold Game ( feat . Latoiya Williams ) | Snoop Dogg & Latoiya Williams | Doggumentary | Hip-Hop/Rap , Music , Rock , Gangsta Rap , West Coast Rap | $ 1.29  | ‰ ãÑ 2011 Capitol Records , LLC . All rights reserved . Unauthorized reproduction is a violation of applicable laws . Manufactured by Capitol Records , LLC , 1750 North Vine Street , Hollywood , CA 90028 . | 3:49   | 29-Mar-11  |

Entity B:
| Song_Name                                             | Artist_Name   | Album_Name                | Genre                      | Price   | CopyRight                        | Time   | Released        |
|:------------------------------------------------------|:--------------|:--------------------------|:---------------------------|:--------|:---------------------------------|:-------|:----------------|
| Toyz N Da Hood ( Feat . Bootsy Collins ) [ Explicit ] | Snoop Dogg    | Doggumentary [ Explicit ] | Rap & Hip-Hop , West Coast | $ 1.29  | ( C ) 2011 Capitol Records , LLC | 2:40   | March 29 , 2011 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 6881
rtable_id: 13600
label: 0
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name   | Artist_Name   | Album_Name   | Genre                                                                                                         | Price   | CopyRight                                                                                                                                       | Time   | Released   |
|:------------|:--------------|:-------------|:--------------------------------------------------------------------------------------------------------------|:--------|:------------------------------------------------------------------------------------------------------------------------------------------------|:-------|:-----------|
| Outversion  | Mark Ronson   | Version      | Pop , Music , R&B / Soul,Soul,Dance,Rock,Jazz,Hip-Hop / Rap,Electronic,Hip-Hop , Pop/Rock , Adult Alternative | $ 0.99  | 2007 Mark Ronson under exclusive license to SONY BMG MUSIC ENTERTAINMENT ( UK ) Limited except Track 9 ( P ) 2006 Rapster Records / BBE Records | 1:50   | 10-Jul-07  |

Entity B:
| Song_Name   | Artist_Name   | Album_Name           | Genre   | Price   | CopyRight                  | Time   | Released       |
|:------------|:--------------|:---------------------|:--------|:--------|:---------------------------|:-------|:---------------|
| Outversion  | Mark Ronson   | Version [ Explicit ] | Pop     | $ 0.99  | ( c ) 2011 J'adore Records | 1:50   | July 10 , 2007 |



entityA: entityA.csv
entityB: entityB.csv
label: 1
original: ltable_id: 2834
rtable_id: 53255
label: 1
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name                            | Artist_Name          | Album_Name                                                           | Genre                                                              | Price   | CopyRight                               | Time   | Released   |
|:-------------------------------------|:---------------------|:---------------------------------------------------------------------|:-------------------------------------------------------------------|:--------|:----------------------------------------|:-------|:-----------|
| Dayum , Baby ( feat . Sarah Buxton ) | Florida Georgia Line | Here 's To the Good Times ... This Is How We Roll ( Deluxe Version ) | Country , Music , Urban Cowboy , Honky Tonk , Contemporary Country | $ 1.29  | ‰ ãÑ 2013 Big Machine Label Group , LLC | 3:26   | 25-Nov-13  |

Entity B:
| Song_Name                                 | Artist_Name          | Album_Name                                        | Genre   | Price   | CopyRight                                | Time   | Released           |
|:------------------------------------------|:---------------------|:--------------------------------------------------|:--------|:--------|:-----------------------------------------|:-------|:-------------------|
| This Is How We Roll [ feat . Luke Bryan ] | Florida Georgia Line | Here 's To The Good Times ... This Is How We Roll | Country | $ 1.29  | ( C ) 2013 Big Machine Label Group , LLC | 3:40   | November 25 , 2013 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 5747
rtable_id: 21508
label: 0
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name                                            | Artist_Name   | Album_Name                                      | Genre                                                                             | Price   | CopyRight             | Time   | Released   |
|:-----------------------------------------------------|:--------------|:------------------------------------------------|:----------------------------------------------------------------------------------|:--------|:----------------------|:-------|:-----------|
| Love Is Gone ( Fred Rister & Joachim Garraud Remix ) | David Guetta  | Pop Life ( Extended Version ) [ Bonus Version ] | Dance , Music , Rock , Pop , House , Electronic , Electronica , Adult Alternative | $ 1.99  | ‰ ãÑ 2007 Gum Records | 3:42   | 18-Sep-07  |

Entity B:
| Song_Name     | Artist_Name   | Album_Name                        | Genre                      | Price   | CopyRight              | Time   | Released   |
|:--------------|:--------------|:----------------------------------|:---------------------------|:--------|:-----------------------|:-------|:-----------|
| We Found Love | David Guetta  | Pop for Your Weekend [ Explicit ] | Dance & Electronic , House | $ 1.29  | 2012 Blue Drum Records | 3:35   |            |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 5074
rtable_id: 36946
label: 0
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name              | Artist_Name   | Album_Name   | Genre                                                                       | Price   | CopyRight                                                                        | Time   | Released   |
|:-----------------------|:--------------|:-------------|:----------------------------------------------------------------------------|:--------|:---------------------------------------------------------------------------------|:-------|:-----------|
| Downside of Growing Up | Maddie & Tae  | Start Here   | Country , Music , Rock , Contemporary Country , Pop , Pop/Rock , Honky Tonk | $ 1.29  | ‰ ãÑ 2015 Republic Records , a Division of UMG Recordings , Inc. ( Dot Records ) | 3:30   | 28-Aug-15  |

Entity B:
| Song_Name         | Artist_Name   | Album_Name   | Genre   | Price   | CopyRight                                                                         | Time   | Released         |
|:------------------|:--------------|:-------------|:--------|:--------|:----------------------------------------------------------------------------------|:-------|:-----------------|
| Your Side Of Town | Maddie & Tae  | Start Here   | Country | $ 1.29  | ( C ) 2015 Republic Records , a Division of UMG Recordings , Inc. ( Dot Records ) | 3:02   | August 28 , 2015 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 6306
rtable_id: 42359
label: 0
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name               | Artist_Name   | Album_Name   | Genre                                          | Price   | CopyRight                            | Time   | Released   |
|:------------------------|:--------------|:-------------|:-----------------------------------------------|:--------|:-------------------------------------|:-------|:-----------|
| VHS Outro ( Interlude ) | X Ambassadors | VHS          | Alternative , Music , Rock , Adult Alternative | $ 1.29  | 2015 KIDinaKORNER/Interscope Records | 1:25   | 30-Jun-15  |

Entity B:
| Song_Name                | Artist_Name   | Album_Name       | Genre            | Price   | CopyRight                                  | Time   | Released       |
|:-------------------------|:--------------|:-----------------|:-----------------|:--------|:-------------------------------------------|:-------|:---------------|
| Moving Day ( Interlude ) | X Ambassadors | VHS [ Explicit ] | Alternative Rock | $ 1.29  | ( C ) 2015 KIDinaKORNER/Interscope Records | 0:19   | June 30 , 2015 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 271
rtable_id: 53030
label: 0
Task: Entity-Matching (source dataset: iTunes-Amazon)

You are given two data records from two datasets that may refer to the same real-world entity. Each record consists of multiple attributes, such as name, address, and other identifying details. Your goal is to determine whether pairs of records refer to the same entity (match) or different entities (non-match).

No explanation and return the final answer as a JSON object, {"label": "<LABEL>"}, where "<LABEL>" is either "match" or "non-match".

Entity A:
| Song_Name                | Artist_Name   | Album_Name           | Genre                     | Price      | CopyRight                              | Time   | Released   |
|:-------------------------|:--------------|:---------------------|:--------------------------|:-----------|:---------------------------------------|:-------|:-----------|
| Whateva ( feat . Monty ) | Fetty Wap     | Fetty Wap ( Deluxe ) | Hip-Hop/Rap , Music , Rap | Album Only | 2015 300 Entertainment/RGF Productions | 5:11   |            |

Entity B:
| Song_Name                         | Artist_Name   | Album_Name          | Genre         | Price   | CopyRight                                                                           | Time   | Released            |
|:----------------------------------|:--------------|:--------------------|:--------------|:--------|:------------------------------------------------------------------------------------|:-------|:--------------------|
| My Way ( feat . Monty ) [ Clean ] | Fetty Wap     | Fetty Wap [ Clean ] | Rap & Hip-Hop | $ 1.29  | ( C ) 2000 Mute Records Ltd. , a BMG Company , under exclusive license to INgrooves | 3:32   | September 25 , 2015 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 2718
rtable_id: 17189
label: 0