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   |
|:----------------------------------------------------------------------|:--------------|:--------------------------|:-------------------------------------------------------|:--------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------|:-----------|
| 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         |
|:-----------------------------------------------------|:--------------|:----------------------------|:-------------------|:--------|:--------------------------------------------------------------------------------------------------|:-------|:-----------------|
| One Love ( Feat . Estelle ; Continuous Mix Version ) | David Guetta  | One Love ( Deluxe Version ) | Dance & Electronic | $ 1.29  | ( C ) 2014 Swedish House Mafia Holdings Ltd ( BVI ) under exclusive license to Virgin Records Ltd | 4:42   | August 21 , 2009 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 1318
rtable_id: 34922
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   |
|:------------------------------------------------------------------|:--------------|:-------------------------------------------------------|:---------------------|:--------|:------------------------------------|:-------|:-----------|
| As Long As You Love Me ( feat . Big Sean ) [ Audien Luvstep Mix ] | Justin Bieber | As Long As You Love Me ( Remixes ) [ feat . Big Sean ] | Dance , Music , Rock | $ 1.29  | 2012 The Island Def Jam Music Group | 4:40   | 11-Sep-12  |

Entity B:
| Song_Name                              | Artist_Name   | Album_Name                    | Genre   | Price   | CopyRight                                 | Time   | Released           |
|:---------------------------------------|:--------------|:------------------------------|:--------|:--------|:------------------------------------------|:-------|:-------------------|
| Never Say Never [ feat . Jaden Smith ] | Justin Bieber | Never Say Never - The Remixes | Pop     | $ 1.29  | ( C ) 2011 The Island Def Jam Music Group | 3:48   | February 14 , 2011 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 796
rtable_id: 33113
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   |
|:-------------------------|:--------------|:-------------------------------|:---------------------------------------|:--------|:-------------------------------|:-------|:-----------|
| Are You Leaving With Him | Luke Bryan    | Spring Break ... Checkin ' Out | Country , Music , Contemporary Country | $ 1.29  | 2015 Capitol Records Nashville | 3:23   | 10-Mar-15  |

Entity B:
| Song_Name                | Artist_Name   | Album_Name                     | Genre   | Price   | CopyRight                            | Time   | Released        |
|:-------------------------|:--------------|:-------------------------------|:--------|:--------|:-------------------------------------|:-------|:----------------|
| Are You Leaving With Him | Luke Bryan    | Spring Break ... Checkin ' Out | Country | $ 1.29  | ( C ) 2015 Capitol Records Nashville | 3:24   | March 10 , 2015 |



entityA: entityA.csv
entityB: entityB.csv
label: 1
original: ltable_id: 4413
rtable_id: 42103
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: 1583
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   |
|:-----------------------|:---------------|:-------------|:--------------------------------------------------------------------------|:--------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------|:-----------|
| Going Away For a While | Brett Eldredge | Illinois     | Country , Music , Contemporary Country , Honky Tonk , Traditional Country | $ 1.29  | 2015 Atlantic Recording Corporation for the United States and WEA International Inc. for the world outside of the United States . A Warner Music Group Company | 3:13   | 11-Sep-15  |

Entity B:
| Song_Name              | Artist_Name    | Album_Name   | Genre   | Price   | CopyRight       | Time   | Released            |
|:-----------------------|:---------------|:-------------|:--------|:--------|:----------------|:-------|:--------------------|
| Going Away For A While | Brett Eldredge | Illinois     | Country | $ 1.29  | ( c ) Phonotype | 3:15   | September 11 , 2015 |



entityA: entityA.csv
entityB: entityB.csv
label: 1
original: ltable_id: 3878
rtable_id: 23925
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   |
|:----------------------------------|:--------------|:-------------------------------------------|:-------------------------------------|:--------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------|:-----------|
| We Dem Boyz ( Louis Futon Remix ) | Wiz Khalifa   | We Dem Boyz ( Louis Futon Remix ) - Single | Electronic,Music,Hip-Hop / Rap , Rap | $ 1.29  | 2014 Atlantic Recording Corporation for the United States and WEA International Inc. for the world outside of the United States . A Warner Music Group Company | 4:19   | 1-Jul-14   |

Entity B:
| Song_Name                | Artist_Name   | Album_Name               | Genre         | Price   | CopyRight                                                                                                                                                      | Time   | Released           |
|:-------------------------|:--------------|:-------------------------|:--------------|:--------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------|:-------------------|
| We Dem Boyz [ Explicit ] | Wiz Khalifa   | We Dem Boyz [ Explicit ] | Rap & Hip-Hop | $ 1.29  | 2014 Atlantic Recording Corporation for the United States and WEA International Inc. for the world outside of the United States . A Warner Music Group Company | 3:45   | February 11 , 2014 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 3392
rtable_id: 53866
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       |
|:---------------------------------|:--------------|:-----------------|:-----------------|:--------|:-------------------------------------------|:-------|:---------------|
| Smoke ( Interlude ) [ Explicit ] | X Ambassadors | VHS [ Explicit ] | Alternative Rock | $ 1.29  | ( C ) 2015 KIDinaKORNER/Interscope Records | 0:24   | June 30 , 2015 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 252
rtable_id: 53036
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   |
|:--------------------------------------------------|:------------------------------|:--------------|:---------------------------------------------------------|:--------|:---------------------------------------------------------------|:-------|:-----------|
| I Have Seen the Rain ( Featuring James T. Moore ) | P!nk featuring James T. Moore | I 'm Not Dead | Pop , Music , Electronic , R&B / Soul , Pop/Rock , Dance | $ 0.99  | 2006 RCA/JIVE Label Group , a unit of Sony Music Entertainment | 3:29   | 4-Mar-06   |

Entity B:
| Song_Name                                                          | Artist_Name   | Album_Name                 | Genre                          | Price   | CopyRight                                                                | Time   | Released       |
|:-------------------------------------------------------------------|:--------------|:---------------------------|:-------------------------------|:--------|:-------------------------------------------------------------------------|:-------|:---------------|
| I Have Seen The Rain ( Featuring James T. Moore ) ( Main Version ) | P!nk          | I 'm Not Dead [ Explicit ] | Dance & Electronic , Pop , R&B | $ 0.99  | ( C ) 2009 Foo & Blu , LLC under exclusive License to Interscope Records | 3:29   | April 4 , 2006 |



entityA: entityA.csv
entityB: entityB.csv
label: 1
original: ltable_id: 1946
rtable_id: 23456
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   |
|:-----------------------------------|:--------------|:------------------------------|:----------------------------------------------------------|:--------|:--------------------------------------------------------------------------------------------------------------------------------|:-------|:-----------|
| Remember You ( feat . The Weeknd ) | Wiz Khalifa   | O.N.I.F.C. ( Deluxe Version ) | Hip-Hop/Rap , Music , East Coast Rap , Hardcore Rap , Rap | $ 1.99  | 2012 Atlantic Recording Corporation for the United States and WEA International Inc. for the world outside of the United States | 5:20   | 4-Dec-12   |

Entity B:
| Song_Name                                        | Artist_Name   | Album_Name                              | Genre         | Price   | CopyRight                                                                                                                                                      | Time   | Released         |
|:-------------------------------------------------|:--------------|:----------------------------------------|:--------------|:--------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------|:-----------------|
| KK ( feat . Project Pat & Juicy J ) [ Explicit ] | Wiz Khalifa   | Blacc Hollywood ( Deluxe ) [ Explicit ] | Rap & Hip-Hop | $ 1.29  | 2014 Atlantic Recording Corporation for the United States and WEA International Inc. for the world outside of the United States . A Warner Music Group Company | 4:09   | August 19 , 2014 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 3419
rtable_id: 7377
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   |
|:-------------------------------------------------|:--------------|:----------------------|:---------------------------------------------------|:--------|:--------------------------------------------------------------------------------------------------------|:-------|:-----------|
| Brave Honest Beautiful ( feat . Meghan Trainor ) | Fifth Harmony | Reflection ( Deluxe ) | Pop , Music , R&B / Soul , Dance , Teen Pop , Rock | $ 1.29  | 2014 , 2015 Simco Ltd. under exclusive license to Epic Records , a division of Sony Music Entertainment | 3:28   | 30-Jan-15  |

Entity B:
| Song_Name              | Artist_Name   | Album_Name            | Genre   | Price   | CopyRight                              | Time   | Released          |
|:-----------------------|:--------------|:----------------------|:--------|:--------|:---------------------------------------|:-------|:------------------|
| Brave Honest Beautiful | Fifth Harmony | Reflection ( Deluxe ) | Pop     | $ 1.29  | ( C ) 2012 Big Machine Records , LLC . | 3:28   | January 30 , 2015 |



entityA: entityA.csv
entityB: entityB.csv
label: 1
original: ltable_id: 3762
rtable_id: 38431
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   |
|:----------------------------------------------------------------------|:--------------|:--------------------------|:-------------------------------------------------------|:--------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------|:-----------|
| 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         |
|:----------------------------------------------------------------------------|:--------------|:----------------------------|:-------------------|:--------|:--------------------------------------------------------------------------------------------------|:-------|:-----------------|
| Revolver ( Madonna Vs. David Guetta Feat . Lil ' Wayne ) ( One Love Remix ) | David Guetta  | One Love ( Deluxe Version ) | Dance & Electronic | $ 1.29  | ( C ) 2014 Swedish House Mafia Holdings Ltd ( BVI ) under exclusive license to Virgin Records Ltd | 3:18   | August 21 , 2009 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 1176
rtable_id: 34903
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   |
|:-----------------------------------------------------------|:--------------|:---------------------|:------------------------------------------|:--------|:------------------------------------------------------------------|:-------|:-----------|
| I 'm a Machine ( feat . Crystal Nicole and Tyrese Gibson ) | David Guetta  | Nothing But the Beat | Dance , Music , Rock , House , Electronic | $ 1.29  | 2011 What A Music Ltd , Licence exclusive Parlophone Music France | 3:34   | 26-Aug-11  |

Entity B:
| Song_Name                                             | Artist_Name   | Album_Name           | Genre              | Price   | CopyRight            | Time   | Released         |
|:------------------------------------------------------|:--------------|:---------------------|:-------------------|:--------|:---------------------|:-------|:-----------------|
| I Can Only Imagine ( Feat . Chris Brown & Lil Wayne ) | David Guetta  | Nothing But The Beat | Dance & Electronic | $ 1.29  | 2009 Andy Henningsen | 3:29   | August 26 , 2011 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 1292
rtable_id: 34019
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   |
|:------------|:--------------|:-----------------------------------|:-----------------------------------------------------------------|:--------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------|:-----------|
| We Dem Boyz | Wiz Khalifa   | Blacc Hollywood ( Deluxe Version ) | Hip-Hop/Rap , Music , Rap , Hardcore Rap , East Coast Rap , Rock | $ 1.99  | 2014 Atlantic Recording Corporation for the United States and WEA International Inc. for the world outside of the United States . A Warner Music Group Company | 3:56   | 19-Aug-14  |

Entity B:
| Song_Name                                                               | Artist_Name   | Album_Name                              | Genre         | Price   | CopyRight                                                                                                                                                      | Time   | Released         |
|:------------------------------------------------------------------------|:--------------|:----------------------------------------|:--------------|:--------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------|:-----------------|
| We Dem Boyz Remix ( feat . Rick Ross , ScHoolboy Q & Nas ) [ Explicit ] | Wiz Khalifa   | Blacc Hollywood ( Deluxe ) [ Explicit ] | Rap & Hip-Hop | $ 1.29  | 2014 Atlantic Recording Corporation for the United States and WEA International Inc. for the world outside of the United States . A Warner Music Group Company | 5:19   | August 19 , 2014 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 3324
rtable_id: 7357
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 |
|:------------------------------|:--------------|:---------------------|:------------------------------------------------------|:--------|:---------------|:-------|-----------:|
| I 'd Love to Change Your Name | Kenny Chesney | In My Wildest Dreams | Country , Music , Urban Cowboy , Contemporary Country | $ 0.99  | 2004 BMG Music | 2:48   |       1994 |

Entity B:
| Song_Name                     | Artist_Name   | Album_Name           | Genre   | Price   | CopyRight        | Time   | Released       |
|:------------------------------|:--------------|:---------------------|:--------|:--------|:-----------------|:-------|:---------------|
| I 'd Love To Change Your Name | Kenny Chesney | In My Wildest Dreams | Country | $ 0.99  | ( p ) Moda Black | 2:48   | July 27 , 2004 |



entityA: entityA.csv
entityB: entityB.csv
label: 1
original: ltable_id: 2456
rtable_id: 24297
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   |
|:-------------------------------------------------------------|:--------------|:-----------------------------------|:---------------------------------------|:--------|:---------------------------------------------------------------------------------------------------------------------------|:-------|:-----------|
| Fly from the Inside ( Live Acoustic from WXDX , Pittsburgh ) | Shinedown     | Leave a Whisper ( Deluxe Version ) | Rock , Music , Hard Rock , Alternative | $ 1.29  | 2009 Atlantic Recording Corporation for the United States and WEA International for the world outside of the United States | 3:59   | 27-May-03  |

Entity B:
| Song_Name       | Artist_Name   | Album_Name      | Genre   | Price   | CopyRight       | Time   | Released      |
|:----------------|:--------------|:----------------|:--------|:--------|:----------------|:-------|:--------------|
| Stranger Inside | Shinedown     | Leave A Whisper | Rock    | $ 1.29  | 2015 Mad Decent | 4:01   | May 27 , 2003 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 1585
rtable_id: 27527
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   |
|:-----------------------------------------|:--------------|:---------------------------|:--------------|:--------|:-----------------------------|:-------|:-----------|
| Follow You Down ( feat . Bright Lights ) | Zedd          | Clarity ( Deluxe Edition ) | Dance , Music | $ 1.29  | ‰ ãÑ 2013 Interscope Records | 5:47   | 24-Sep-13  |

Entity B:
| Song_Name                        | Artist_Name   | Album_Name   | Genre              | Price   | CopyRight                     | Time   | Released         |
|:---------------------------------|:--------------|:-------------|:-------------------|:--------|:------------------------------|:-------|:-----------------|
| Spectrum [ feat . Matthew Koma ] | Zedd          | Clarity      | Dance & Electronic | $ 1.29  | ( C ) 2012 Interscope Records | 4:03   | October 9 , 2012 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 6900
rtable_id: 10533
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   |
|:-----------------------------|:--------------|:-------------|:-------------------------------------------------------|:--------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------|:-----------|
| The Whisperer ( feat . Sia ) | David Guetta  | Listen       | Dance , Music , Electronic , House , Rock , 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 | 3:54   | 24-Nov-14  |

Entity B:
| Song_Name                                            | Artist_Name   | Album_Name        | Genre              | Price   | CopyRight                | Time   | Released           |
|:-----------------------------------------------------|:--------------|:------------------|:-------------------|:--------|:-------------------------|:-------|:-------------------|
| No Money no Love ( feat . Elliphant & Ms. Dynamite ) | David Guetta  | Listen ( Deluxe ) | Dance & Electronic | $ 1.29  | 2015 If Moving Your Mine | 3:57   | November 24 , 2014 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 1201
rtable_id: 27979
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            |
|:---------------------------------------|:--------------|:-------------------------------|:--------------|:--------|:------------------------------------------------------------------------------------|:-------|:--------------------|
| For My Team ( feat . Monty ) [ Clean ] | Fetty Wap     | Fetty Wap ( Deluxe ) [ Clean ] | Rap & Hip-Hop | $ 1.29  | ( C ) 2000 Mute Records Ltd. , a BMG Company , under exclusive license to INgrooves | 3:28   | September 25 , 2015 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 2721
rtable_id: 17160
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        |
|:--------------------------------------------------------|:--------------|:-----------------------------------|:--------|:--------|:----------------------------------------------------------------------------------------|:-------|:----------------|
| My Wrecking Ball ( Live At Carnegie Hall / 11/17/2014 ) | Ryan Adams    | Live At Carnegie Hall [ Explicit ] | Rock    | $ 1.29  | ( C ) 2015 PaxAmericana Recording Company Under Exclusive Licenese To Blue Note Records | 5:22   | April 21 , 2015 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 2020
rtable_id: 28393
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        |
|:----------------------------------------------------------------|:--------------|:-----------------------------------|:--------|:--------|:----------------------------------------------------------------------------------------|:-------|:----------------|
| Firecracker ( Live At Carnegie Hall / 11/17/2014 ) [ Explicit ] | Ryan Adams    | Live At Carnegie Hall [ Explicit ] | Rock    | $ 1.29  | ( C ) 2015 PaxAmericana Recording Company Under Exclusive Licenese To Blue Note Records | 4:02   | April 21 , 2015 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 2023
rtable_id: 28407
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   |
|:----------------------------------------------------|:--------------------------------------------------------|:--------------------|:------------------------------------------------------------------|:--------|:-------------------------------------|:-------|:-----------|
| I Know ( feat . Chris Brown , Wiz Khalifa & Seven ) | Diddy - Dirty Money , Chris Brown , Wiz Khalifa & Seven | Last Train to Paris | Hip-Hop/Rap , Music , R&B / Soul , Contemporary R&B , Dance , Rap | $ 1.29  | ‰ ãÑ 2010 Bad Boy/Interscope Records | 4:31   | 14-Dec-10  |

Entity B:
| Song_Name                                  | Artist_Name         | Album_Name                       | Genre         | Price   | CopyRight                             | Time   | Released           |
|:-------------------------------------------|:--------------------|:---------------------------------|:--------------|:--------|:--------------------------------------|:-------|:-------------------|
| I Know [ feat . Wiz Khalifa ] [ Explicit ] | Diddy - Dirty Money | Last Train To Paris [ Explicit ] | Rap & Hip-Hop | $ 1.29  | ( C ) 2010 Bad Boy/Interscope Records | 4:31   | December 14 , 2010 |



entityA: entityA.csv
entityB: entityB.csv
label: 1
original: ltable_id: 5227
rtable_id: 27254
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   |
|:---------------------------------------------------|:--------------|:--------------------------------|:-----------------------------------------------------------------------------------------------|:--------|:------------------------------------------------------------------------------|:-------|:-----------|
| Lifted ( feat . Emeli Sand ' © & Professor Green ) | Naughty Boy   | Hotel Cabana ( Deluxe Version ) | Pop , Music , Rock , R&B / Soul , Contemporary R&B , Dance,Electronic,Hip-Hop / Rap , Pop/Rock | $ 1.29  | 2013 Naughty Boy Recordings Ltd under exclusive licence to Virgin Records Ltd | 4:15   | 6-May-14   |

Entity B:
| Song_Name                                  | Artist_Name   | Album_Name                | Genre   | Price   | CopyRight                                                                           | Time   | Released     |
|:-------------------------------------------|:--------------|:--------------------------|:--------|:--------|:------------------------------------------------------------------------------------|:-------|:-------------|
| Top Floor ( Cabana ) [ feat . Ed Sheeran ] | Naughty Boy   | Hotel Cabana [ Explicit ] | Pop     | $ 1.29  | ( C ) 2014 Naughty Boy Recordings Ltd under exclusive licence to Virgin Records Ltd | 2:09   | May 6 , 2014 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 302
rtable_id: 22315
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   |
|:-------------------------------|:-------------------|:-------------------------|:---------------------------|:--------|:--------------------------|:-------|:-----------|
| Lick It ( Norman Doray Remix ) | Kaskade & Skrillex | Lick It ( Remixes ) - EP | Dance , Music , Electronic | $ 1.29  | 2012 Ultra Records , Inc. | 6:14   | 17-Apr-12  |

Entity B:
| Song_Name                                                    | Artist_Name      | Album_Name                                          | Genre              | Price   | CopyRight                                                                                                                                                                           | Time   | Released       |
|:-------------------------------------------------------------|:-----------------|:----------------------------------------------------|:-------------------|:--------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------|:---------------|
| Where Are ÌÏ Now ( with Justin Bieber ) [ Marshmello Remix ] | Skrillex & Diplo | Where Are ÌÏ Now ( with Justin Bieber ) [ Remixes ] | Dance & Electronic | $ 1.29  | 2015 OWSLA / Mad Decent / Atlantic Recording Corporation for the United States and WEA International Inc. for the world outside of the United States . A Warner Music Group Company | 3:26   | June 16 , 2015 |



entityA: entityA.csv
entityB: entityB.csv
label: 0
original: ltable_id: 4736
rtable_id: 54337
label: 0