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<s>[INST] The next text is a tweet probably about migration:"@Indexdomrd @MigracionRDo Wao que buena y ágil noticia para todos los residentes en el exterior." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,608,081,685,886,664,700
1,608,081,685,886,664,700
unrelated
4
@Indexdomrd @MigracionRDo Wao que buena y ágil noticia para todos los residentes en el exterior.
292
<s>[INST] The next text is a tweet probably about migration:"@ListinDiario Osea que la administración Biden les declaro la guerra a la RD porque esta aplicando la ley de migracion que USA aplica sin contemplaciones a los padres indocumentados." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [2]. </s>
1,595,471,147,386,241,000
1,595,471,147,386,241,000
anti-immigration
2
@ListinDiario Osea que la administración Biden les declaro la guerra a la RD porque esta aplicando la ley de migracion que USA aplica sin contemplaciones a los padres indocumentados.
308
<s>[INST] The next text is a tweet probably about migration:"@MigracionCol Por Dios sres de migración Colombia que pasa con las personas que hicieron el biométrico en 15 septiembre todavía no salen y hay personas de octubre y noviembre aprobado mi esposa y hijo ya está aprobado mi esposa necesita EPS" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,478,496,188,940,927,000
1,478,496,188,940,927,000
unrelated
4
@MigracionCol Por Dios sres de migración Colombia que pasa con las personas que hicieron el biométrico en 15 septiembre todavía no salen y hay personas de octubre y noviembre aprobado mi esposa y hijo ya está aprobado mi esposa necesita EPS
63
<s>[INST] The next text is a tweet probably about migration:"Que hace una oficina de la OIM organismos para la migraciones si esa e la funcion Que le compete al estado Dom @Padilla_Cury @WessinChavez @PQDCenlinea @pelegrinc @celciaalvarez @Vivianacollado1 @milenario3310 @rebeca_fiallo @Desiree01169067 @pelegrinc Eso es traicion RD https://t.co/Bd67k4Ks6K" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [2]. </s>
1,511,047,145,050,325,000
1,511,047,145,050,325,000
anti-immigration
2
Que hace una oficina de la OIM organismos para la migraciones si esa e la funcion Que le compete al estado Dom @Padilla_Cury @WessinChavez @PQDCenlinea @pelegrinc @celciaalvarez @Vivianacollado1 @milenario3310 @rebeca_fiallo @Desiree01169067 @pelegrinc Eso es traicion RD https://t.co/Bd67k4Ks6K
346
<s>[INST] The next text is a tweet probably about migration:"Este quién es?? Me imagino a la ministra montero y su debate interno, el tío es machista, si pero también es inmigrante 🤔😮‍💨😵‍💫😵‍💫" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [3]. </s>
1,540,657,752,808,325,000
1,540,657,752,808,325,000
neutral
3
Este quién es?? Me imagino a la ministra montero y su debate interno, el tío es machista, si pero también es inmigrante 🤔😮‍💨😵‍💫😵‍💫
524
<s>[INST] The next text is a tweet probably about migration:"@Perreneitor @VENEZUELAIndep1 @MarioNolio @CleoGKlein @Dante110624 @MirafloresEl @Cristia40129264 @GoldAbrahama @ErikZelada2 @HUS07777781 @OJOVENE @Samurai29464219 @1961Tokio @Tropatriunfante @criszzuela @antoniovaldez6 @AlfieSolomom @Carol18ing @Yaari97369910 @Luis__Crespo_ @Spetsnaz2022 @josemigrante @CatalinoMeltro2 @urbimaria37 @alejoZuluagaSi1 @Gabriel71872331 @kryptpublicidad @DukeShelby1 @HerneyCruz2 @CarpinteroAlejo @2Viejis39 @saintmayo1981 @manoantonio_2 @antoniocarriza3 @DrJete @ProfdeCaliches @yaruabella @Klobo91 @JohnnyDogsX @HoyEliDenuncio @SUCIALISM0 @marthadiazc @EDavidiazubv @IIuminat @titaeti @jerafervas1 @christioncillo @Pun1sh3r74x @Osman56398887 Pues yo vivo comodo mi pana." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,558,177,599,926,444,000
1,558,177,599,926,444,000
unrelated
4
@Perreneitor @VENEZUELAIndep1 @MarioNolio @CleoGKlein @Dante110624 @MirafloresEl @Cristia40129264 @GoldAbrahama @ErikZelada2 @HUS07777781 @OJOVENE @Samurai29464219 @1961Tokio @Tropatriunfante @criszzuela @antoniovaldez6 @AlfieSolomom @Carol18ing @Yaari97369910 @Luis__Crespo_ @Spetsnaz2022 @josemigrante @CatalinoMeltro2 @urbimaria37 @alejoZuluagaSi1 @Gabriel71872331 @kryptpublicidad @DukeShelby1 @HerneyCruz2 @CarpinteroAlejo @2Viejis39 @saintmayo1981 @manoantonio_2 @antoniocarriza3 @DrJete @ProfdeCaliches @yaruabella @Klobo91 @JohnnyDogsX @HoyEliDenuncio @SUCIALISM0 @marthadiazc @EDavidiazubv @IIuminat @titaeti @jerafervas1 @christioncillo @Pun1sh3r74x @Osman56398887 Pues yo vivo comodo mi pana.
504
<s>[INST] The next text is a tweet probably about migration:"Quieres aplicar al TPS y no sabes cómo, comunícate ya con LISBETH ALDANA, especialista en formas migratorias, con 5 años de experiencia, traducción certificada, solicitud de asilos y TPS familiares Email: [email protected] Teléfono en Estados Unidos 551-258-9416. https://t.co/Us4mAQryyW" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,504,661,380,716,183,600
1,504,661,380,716,183,600
unrelated
4
Quieres aplicar al TPS y no sabes cómo, comunícate ya con LISBETH ALDANA, especialista en formas migratorias, con 5 años de experiencia, traducción certificada, solicitud de asilos y TPS familiares Email: [email protected] Teléfono en Estados Unidos 551-258-9416. https://t.co/Us4mAQryyW
238
<s>[INST] The next text is a tweet probably about migration:"Contraste entre ciudades, Córdoba y Rosario en 1884. Ésta, cosmopolita, con una gran cantidad de inmigrantes recién llegados, carecía del atractivo señorial de la otra. La comida era aquí “en el eterno carnero con papas, de todas las fondas del mundo”. https://t.co/r9rsuAlNkt" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,531,395,127,838,654,500
1,531,395,127,838,654,500
unrelated
4
Contraste entre ciudades, Córdoba y Rosario en 1884. Ésta, cosmopolita, con una gran cantidad de inmigrantes recién llegados, carecía del atractivo señorial de la otra. La comida era aquí “en el eterno carnero con papas, de todas las fondas del mundo”. https://t.co/r9rsuAlNkt
638
<s>[INST] The next text is a tweet probably about migration:"Y una cosa es leerlo y otra escucharlo de la boca de la gente. Y que te cuenten lo que les pasó. Hasta me dije “la tuve casi fácil” (bueno no eh, yo trabajaba como burro pero siempre en planilla y legal). Que duro puede es inmigrar eh!" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,487,589,561,148,579,800
1,487,589,561,148,579,800
unrelated
4
Y una cosa es leerlo y otra escucharlo de la boca de la gente. Y que te cuenten lo que les pasó. Hasta me dije “la tuve casi fácil” (bueno no eh, yo trabajaba como burro pero siempre en planilla y legal). Que duro puede es inmigrar eh!
856
<s>[INST] The next text is a tweet probably about migration:"@BETTOXICO @ombudsmanraul @CNDH @CONAPRED @RosarioPiedraIb Mi @BETTOXICO siempre has sido un aliado en las causas de la desigualdades estructurales por los #DDHH de las personas migrantes, te invito a que nos veamos, personal/virtualmente y dialoguemos los temas. Jamás me alejaré de mi convicción de vida, hoy en la @CNDH trabajo en ello" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [3]. </s>
1,590,233,625,077,100,500
1,590,233,625,077,100,500
neutral
3
@BETTOXICO @ombudsmanraul @CNDH @CONAPRED @RosarioPiedraIb Mi @BETTOXICO siempre has sido un aliado en las causas de la desigualdades estructurales por los #DDHH de las personas migrantes, te invito a que nos veamos, personal/virtualmente y dialoguemos los temas. Jamás me alejaré de mi convicción de vida, hoy en la @CNDH trabajo en ello
412
<s>[INST] The next text is a tweet probably about migration:"Contraste entre ciudades, Córdoba y Rosario en 1884. Ésta, cosmopolita, con una gran cantidad de inmigrantes recién llegados, carecía del atractivo señorial de la otra. La comida era aquí “en el eterno carnero con papas, de todas las fondas del mundo”. https://t.co/r9rsuAlNkt" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,542,482,100,640,780,300
1,542,482,100,640,780,300
unrelated
4
Contraste entre ciudades, Córdoba y Rosario en 1884. Ésta, cosmopolita, con una gran cantidad de inmigrantes recién llegados, carecía del atractivo señorial de la otra. La comida era aquí “en el eterno carnero con papas, de todas las fondas del mundo”. https://t.co/r9rsuAlNkt
668
<s>[INST] The next text is a tweet probably about migration:"@el_refugio Él es el que iba a llorar sangre , asegurado. 😠😠😠" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,549,121,215,217,950,700
1,549,121,215,217,950,700
unrelated
4
@el_refugio Él es el que iba a llorar sangre , asegurado. 😠😠😠
790
<s>[INST] The next text is a tweet probably about migration:"Que no se preocupe el dueño del asador, q los inmigrantes q van a entrar ahora sí q van a aceptar esa oferta... Y cobrando menos incluso: https://t.co/dKp7J9ceqQ" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [2]. </s>
1,560,502,549,391,835,100
1,560,502,549,391,835,100
anti-immigration
2
Que no se preocupe el dueño del asador, q los inmigrantes q van a entrar ahora sí q van a aceptar esa oferta... Y cobrando menos incluso: https://t.co/dKp7J9ceqQ
588
<s>[INST] The next text is a tweet probably about migration:"Excelente ! PAISANOS @InmigrantesenUS nuestro Presidente @lopezobrador_ hace esto y contacten a @consuladomex" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,513,644,597,804,777,500
1,513,644,597,804,777,500
unrelated
4
Excelente ! PAISANOS @InmigrantesenUS nuestro Presidente @lopezobrador_ hace esto y contacten a @consuladomex
803
<s>[INST] The next text is a tweet probably about migration:"La mara y sus teorías conspirativas 🤣 pero cuando ficohsa lo hizo ni se enteraron verdad? Por un mes estuve yo sin poder tocar mi dinero y no fue migración de sistema, simplemente una implementación basura que hicieron 🙄" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,590,673,641,074,610,200
1,590,673,641,074,610,200
unrelated
4
La mara y sus teorías conspirativas 🤣 pero cuando ficohsa lo hizo ni se enteraron verdad? Por un mes estuve yo sin poder tocar mi dinero y no fue migración de sistema, simplemente una implementación basura que hicieron 🙄
324
<s>[INST] The next text is a tweet probably about migration:"HUMANIZANDO PROCESOS TENDREMOS EXCELENTES RESULTADOS. TRABAJANDO Y ARTICULADOS @FUN2TIERRAS @MigracionCol @GciaFronterasCo @GOAL_Colombia @OIMColombia @USAID_Colombia @WFP_Colombia Avanzamos en la integración socioeconómica creando oportunidades https://t.co/7CZaDFzKW2" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [3]. </s>
1,495,163,144,645,320,700
1,495,163,144,645,320,700
neutral
3
HUMANIZANDO PROCESOS TENDREMOS EXCELENTES RESULTADOS. TRABAJANDO Y ARTICULADOS @FUN2TIERRAS @MigracionCol @GciaFronterasCo @GOAL_Colombia @OIMColombia @USAID_Colombia @WFP_Colombia Avanzamos en la integración socioeconómica creando oportunidades https://t.co/7CZaDFzKW2
378
<s>[INST] The next text is a tweet probably about migration:"A ver si en estos términos egoístas lo entienden algunos: dar asistencia sanitaria gratuita a extranjeros tiene ventajas para la salud pública de todo el país. ¿De verdad queréis un país en el que enfermedades contagiosas se propaguen por vuestra cruzada contra los inmigrantes?" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [1]. </s>
1,507,015,192,680,415,200
1,507,015,192,680,415,200
pro-immigration
1
A ver si en estos términos egoístas lo entienden algunos: dar asistencia sanitaria gratuita a extranjeros tiene ventajas para la salud pública de todo el país. ¿De verdad queréis un país en el que enfermedades contagiosas se propaguen por vuestra cruzada contra los inmigrantes?
911
<s>[INST] The next text is a tweet probably about migration:"@PedroSassone Jefe de Misión de Venezuela en Ecuador, destacó en sesión del Consejo Cantonal de Protección de Derechos de Ibarra, la necesidad del respeto a los derechos de las personas en movilidad humana y enfatizó en que la migración venezolana es de carácter económico. https://t.co/Ujs52ZBj0r" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [1]. </s>
1,519,473,262,111,215,600
1,519,473,262,111,215,600
pro-immigration
1
@PedroSassone Jefe de Misión de Venezuela en Ecuador, destacó en sesión del Consejo Cantonal de Protección de Derechos de Ibarra, la necesidad del respeto a los derechos de las personas en movilidad humana y enfatizó en que la migración venezolana es de carácter económico. https://t.co/Ujs52ZBj0r
243
<s>[INST] The next text is a tweet probably about migration:"@Cryptommigrant que ficty bro solo le editaron la cabeza por joder como metes acá una enfermedad?" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,527,513,387,655,172,000
1,527,513,387,655,172,000
unrelated
4
@Cryptommigrant que ficty bro solo le editaron la cabeza por joder como metes acá una enfermedad?
904
<s>[INST] The next text is a tweet probably about migration:"Aqui en Panama hay demasiadas categorias migratorias. Deberian eliminarse a la mitad; aumentar las multas. Persona ilegal en Panamá; deportada!! Asi de simple!! Y si comete un delito; arrestada." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [2]. </s>
1,514,549,197,525,196,800
1,514,549,197,525,196,800
anti-immigration
2
Aqui en Panama hay demasiadas categorias migratorias. Deberian eliminarse a la mitad; aumentar las multas. Persona ilegal en Panamá; deportada!! Asi de simple!! Y si comete un delito; arrestada.
281
<s>[INST] The next text is a tweet probably about migration:"@Tochadas_01 Coño parecen con el perdon de los refugiados, a los que acojen en un refugio de emergencia que te toca vestirte con lo que hay" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [3]. </s>
1,508,312,233,843,073,000
1,508,312,233,843,073,000
neutral
3
@Tochadas_01 Coño parecen con el perdon de los refugiados, a los que acojen en un refugio de emergencia que te toca vestirte con lo que hay
792
<s>[INST] The next text is a tweet probably about migration:"@MedicenCathy @MiShUcKa Estamos tranquilos, son las 11:55am. A las 07:00am empezaron a sonar las alarmas para que busquemos refugio subterráneo, pero no pasó nada. Talvez tu novio está descansando." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,497,148,476,672,651,300
1,497,148,476,672,651,300
unrelated
4
@MedicenCathy @MiShUcKa Estamos tranquilos, son las 11:55am. A las 07:00am empezaron a sonar las alarmas para que busquemos refugio subterráneo, pero no pasó nada. Talvez tu novio está descansando.
972
<s>[INST] The next text is a tweet probably about migration:"Es malísimo y solo tiene repercusión porque Messi contesto con voz audible que lo emociono (lógico, habla de él y su vida) pero para los que no son interpelados por la vida de emigrante de Barcelona en 2000 o no son Messi, el "cuento" es malísimo. Muy malo." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,608,843,534,140,080,000
1,608,843,534,140,080,000
unrelated
4
Es malísimo y solo tiene repercusión porque Messi contesto con voz audible que lo emociono (lógico, habla de él y su vida) pero para los que no son interpelados por la vida de emigrante de Barcelona en 2000 o no son Messi, el "cuento" es malísimo. Muy malo.
103
<s>[INST] The next text is a tweet probably about migration:"Tengo miedo de refugiarme en ti cuando me siento mal, pero si pudiera elegir un lugar en este momento para estar, iría hacia ti" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,596,672,135,027,638,300
1,596,672,135,027,638,300
unrelated
4
Tengo miedo de refugiarme en ti cuando me siento mal, pero si pudiera elegir un lugar en este momento para estar, iría hacia ti
239
<s>[INST] The next text is a tweet probably about migration:"Contraste entre ciudades, Córdoba y Rosario en 1884. Ésta, cosmopolita, con una gran cantidad de inmigrantes recién llegados, carecía del atractivo señorial de la otra. La comida era aquí “en el eterno carnero con papas, de todas las fondas del mundo”. https://t.co/r9rsuAlNkt" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,528,011,492,045,512,700
1,528,011,492,045,512,700
unrelated
4
Contraste entre ciudades, Córdoba y Rosario en 1884. Ésta, cosmopolita, con una gran cantidad de inmigrantes recién llegados, carecía del atractivo señorial de la otra. La comida era aquí “en el eterno carnero con papas, de todas las fondas del mundo”. https://t.co/r9rsuAlNkt
625
<s>[INST] The next text is a tweet probably about migration:"Es la vaina de un inmigrante que viene a imponer y no a obedecer." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [2]. </s>
1,537,731,177,326,563,300
1,537,731,177,326,563,300
anti-immigration
2
Es la vaina de un inmigrante que viene a imponer y no a obedecer.
382
<s>[INST] The next text is a tweet probably about migration:"@clandestino34 Mira tu qué coqueto jejeejej" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,504,259,678,246,559,700
1,504,259,678,246,559,700
unrelated
4
@clandestino34 Mira tu qué coqueto jejeejej
484
<s>[INST] The next text is a tweet probably about migration:"@susogarc 💖 que bonito es refugiarse en el arte" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,569,773,290,230,521,900
1,569,773,290,230,521,900
unrelated
4
@susogarc 💖 que bonito es refugiarse en el arte
558
<s>[INST] The next text is a tweet probably about migration:"@jairoaude @AntiguaOrden_RD Perredeoso, migración es la encargada de la entrada de los ilegales. Pregunta donde están las autoridades de migración en Santiago." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [2]. </s>
1,547,386,092,009,259,000
1,547,386,092,009,259,000
anti-immigration
2
@jairoaude @AntiguaOrden_RD Perredeoso, migración es la encargada de la entrada de los ilegales. Pregunta donde están las autoridades de migración en Santiago.
285
<s>[INST] The next text is a tweet probably about migration:"@LadyPilloto Jajajaja llegaron haciendo una súper bulla. Y ahora el gato se ha asilado en la residencia del embajador de España." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,503,057,269,038,235,600
1,503,057,269,038,235,600
unrelated
4
@LadyPilloto Jajajaja llegaron haciendo una súper bulla. Y ahora el gato se ha asilado en la residencia del embajador de España.
291
<s>[INST] The next text is a tweet probably about migration:"Más de 3.000 migrantes murieron en el mar en 2021 | @JorgeEliasInter https://t.co/R8uEZoTksy" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [3]. </s>
1,524,053,852,655,390,700
1,524,053,852,655,390,700
neutral
3
Más de 3.000 migrantes murieron en el mar en 2021 | @JorgeEliasInter https://t.co/R8uEZoTksy
424
<s>[INST] The next text is a tweet probably about migration:"@Marita2785 Ok, lo juego a la quiniela clandestina" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,486,509,270,464,041,000
1,486,509,270,464,041,000
unrelated
4
@Marita2785 Ok, lo juego a la quiniela clandestina
901
<s>[INST] The next text is a tweet probably about migration:"Es un gusto poder compartir espacios que permitan el fortalecimiento de las instancias municipales que trabajamos en beneficio de la población #Migrante, felicidades @AmittTwitt por el éxito de hoy, así como a todas y todos por su participación. @GIZMexico @Guadalu35100423" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [1]. </s>
1,585,450,783,843,164,200
1,585,450,783,843,164,200
pro-immigration
1
Es un gusto poder compartir espacios que permitan el fortalecimiento de las instancias municipales que trabajamos en beneficio de la población #Migrante, felicidades @AmittTwitt por el éxito de hoy, así como a todas y todos por su participación. @GIZMexico @Guadalu35100423
1,056
<s>[INST] The next text is a tweet probably about migration:"@carmina_blu @meganoticiascl Con Piñera estábamos mal,pero sin duda,con Boric estamos peor y el daño aumenta cada día. El tema de la delincuencia no es algo para empatar,sino para solucionar. Hay que hacer algo pronto. Detener las inmigraciones,cárcel efectiva a delincuentes rematados y reactivar la econ. YA" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [2]. </s>
1,580,512,212,950,491,100
1,580,512,212,950,491,100
anti-immigration
2
@carmina_blu @meganoticiascl Con Piñera estábamos mal,pero sin duda,con Boric estamos peor y el daño aumenta cada día. El tema de la delincuencia no es algo para empatar,sino para solucionar. Hay que hacer algo pronto. Detener las inmigraciones,cárcel efectiva a delincuentes rematados y reactivar la econ. YA
397
<s>[INST] The next text is a tweet probably about migration:"@PedroMihovilce1 @elgauchoaracena Tengo una careta de Trump de mi último viaje a USA, cuando entramos en la clandestinidad? Tengo otra de Milagro Sala pero era para Halloween !" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,496,719,778,358,067,200
1,496,719,778,358,067,200
unrelated
4
@PedroMihovilce1 @elgauchoaracena Tengo una careta de Trump de mi último viaje a USA, cuando entramos en la clandestinidad? Tengo otra de Milagro Sala pero era para Halloween !
929
<s>[INST] The next text is a tweet probably about migration:"@BirdofP97600039 @Rubberasylum No contest." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,506,773,593,106,968,600
1,506,773,593,106,968,600
unrelated
4
@BirdofP97600039 @Rubberasylum No contest.
917
<s>[INST] The next text is a tweet probably about migration:"@VZLARUSIA @arkangelnx @AquiJodio57 @jerafervas1 @118ari @HUS07777781 @Perreneitor @ProfesordAtorra @Samurai17499983 @e2d8da39cf2249e @luis_hippy @EchameCuentos @Klobo91 @CarpinteroAlejo @alejoZuluagaSi1 @urbimaria37 @ArgimiroRibas @LaLadil30301091 @ElCimarron2023 @Proleta64426131 @Tropatriunfante @apitopapa31 @Yaari97369910 @1961Tokio @2Viejis39 @constantine0210 @Samurai31860445 @WilfredoNc @yaruabella @manoantonio_2 @criszzuela @antoniovaldez6 @AlexandrosTheG @MirafloresEl @Resiliente_Vzla @cesarbelmares @INowk4 @gladisbellamia @Alaa1Ramiro @Fooros @Luis__Crespo_ @CatalinoMeltro2 @luisf_2205 @billmeinhardt @MarioNolio @Macuro33 @maxHaLF1 @josemigrante @ValeVale1623 @Cristia40129264 Si los que atacan el sistema cubano, la revolución de Cuba, están tan seguros que no es el bloqueo lo que provocó la pobreza en Cuba cual ea el miedo de quitar el bloqueo?. Más bien quitar el bloqueo es la forma de demostrar la mentira y que fue el castrismo y no el bloqueo." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,597,210,415,305,740,300
1,597,210,415,305,740,300
unrelated
4
@VZLARUSIA @arkangelnx @AquiJodio57 @jerafervas1 @118ari @HUS07777781 @Perreneitor @ProfesordAtorra @Samurai17499983 @e2d8da39cf2249e @luis_hippy @EchameCuentos @Klobo91 @CarpinteroAlejo @alejoZuluagaSi1 @urbimaria37 @ArgimiroRibas @LaLadil30301091 @ElCimarron2023 @Proleta64426131 @Tropatriunfante @apitopapa31 @Yaari97369910 @1961Tokio @2Viejis39 @constantine0210 @Samurai31860445 @WilfredoNc @yaruabella @manoantonio_2 @criszzuela @antoniovaldez6 @AlexandrosTheG @MirafloresEl @Resiliente_Vzla @cesarbelmares @INowk4 @gladisbellamia @Alaa1Ramiro @Fooros @Luis__Crespo_ @CatalinoMeltro2 @luisf_2205 @billmeinhardt @MarioNolio @Macuro33 @maxHaLF1 @josemigrante @ValeVale1623 @Cristia40129264 Si los que atacan el sistema cubano, la revolución de Cuba, están tan seguros que no es el bloqueo lo que provocó la pobreza en Cuba cual ea el miedo de quitar el bloqueo?. Más bien quitar el bloqueo es la forma de demostrar la mentira y que fue el castrismo y no el bloqueo.
420
<s>[INST] The next text is a tweet probably about migration:"#CosmicRabbit #SiembraRebeldía #LaClandestina en Santa Maria la Ribera https://t.co/NuzUtekZTx" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,563,723,659,545,649,200
1,563,723,659,545,649,200
unrelated
4
#CosmicRabbit #SiembraRebeldía #LaClandestina en Santa Maria la Ribera https://t.co/NuzUtekZTx
286
<s>[INST] The next text is a tweet probably about migration:"@VerbenaJorge Es una reliquia que lo tengo bien guardado. El cura Carlos Mujica solía venir a la Parroquia clandestino en las famosas reuniones de MSTM. Eran muy amigos" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,544,363,315,308,241,000
1,544,363,315,308,241,000
unrelated
4
@VerbenaJorge Es una reliquia que lo tengo bien guardado. El cura Carlos Mujica solía venir a la Parroquia clandestino en las famosas reuniones de MSTM. Eran muy amigos
1,077
<s>[INST] The next text is a tweet probably about migration:"ATENCIÓN Inmigrantes y refugiados podrían trabajar en áreas rurales de Estados Unidos: cómo acceder https://t.co/wmSQCzLpCE a través de @cqc44" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [3]. </s>
1,578,731,776,846,925,800
1,578,731,776,846,925,800
neutral
3
ATENCIÓN Inmigrantes y refugiados podrían trabajar en áreas rurales de Estados Unidos: cómo acceder https://t.co/wmSQCzLpCE a través de @cqc44
415
<s>[INST] The next text is a tweet probably about migration:"Día 1324 Parque El Refugio ¿Parque público o estacionamiento particular? @GdlMovilidad https://t.co/hJruKxmQws" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,526,567,474,900,222,000
1,526,567,474,900,222,000
unrelated
4
Día 1324 Parque El Refugio ¿Parque público o estacionamiento particular? @GdlMovilidad https://t.co/hJruKxmQws
43
<s>[INST] The next text is a tweet probably about migration:"Cómo le van a explicar a la militancia las directivas conservadoras y los congresistas su silencio ante las invasiones a la propiedad privada, uno de los derechos que hacen parte fundamental del acervo doctrinario del Partido?" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,579,576,637,787,869,200
1,579,576,637,787,869,200
unrelated
4
Cómo le van a explicar a la militancia las directivas conservadoras y los congresistas su silencio ante las invasiones a la propiedad privada, uno de los derechos que hacen parte fundamental del acervo doctrinario del Partido?
314
<s>[INST] The next text is a tweet probably about migration:"Como es que un gobierno presidido por Luis Abinader , descendiente de inmigrantes , que sabe que el dominicano no es racista , deja que uno de sus ministros le llame asi al pueblo y no pague por ello ?" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [1]. </s>
1,561,447,475,579,437,000
1,561,447,475,579,437,000
pro-immigration
1
Como es que un gobierno presidido por Luis Abinader , descendiente de inmigrantes , que sabe que el dominicano no es racista , deja que uno de sus ministros le llame asi al pueblo y no pague por ello ?
201
<s>[INST] The next text is a tweet probably about migration:"Acá escuchando testimonios en audiencia, familia desplazada, llega a la ciudad, el ejército se les lleva el pelao, se los entrega enfermo de la cabeza, no responden, luego lo mata un carro mientras el muchacho andaba en estado de esquizofrenia..." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,507,020,452,379,730,000
1,507,020,452,379,730,000
unrelated
4
Acá escuchando testimonios en audiencia, familia desplazada, llega a la ciudad, el ejército se les lleva el pelao, se los entrega enfermo de la cabeza, no responden, luego lo mata un carro mientras el muchacho andaba en estado de esquizofrenia...
861
<s>[INST] The next text is a tweet probably about migration:"Cuando responda el dealer voy a tar feliz, mientras tanto me refugio en tiktok" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,536,876,010,561,577,000
1,536,876,010,561,577,000
unrelated
4
Cuando responda el dealer voy a tar feliz, mientras tanto me refugio en tiktok
569
<s>[INST] The next text is a tweet probably about migration:"@T13 Por no le mandamos migrantes al patio de su casa #NoEsInmigracionEsINVASION #CierreDeFronteras" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [2]. </s>
1,492,362,504,751,620,000
1,492,362,504,751,620,000
anti-immigration
2
@T13 Por no le mandamos migrantes al patio de su casa #NoEsInmigracionEsINVASION #CierreDeFronteras
1,050
<s>[INST] The next text is a tweet probably about migration:"@XiomaraCastroZ esto dice mucho de la forma en que piensa gobernar este país. Respaldar a quien refugia ladrones que tanto daño le hicieron a este país, no debería de ser premiado. https://t.co/MMxICZBiij" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,542,622,695,141,277,700
1,542,622,695,141,277,700
unrelated
4
@XiomaraCastroZ esto dice mucho de la forma en que piensa gobernar este país. Respaldar a quien refugia ladrones que tanto daño le hicieron a este país, no debería de ser premiado. https://t.co/MMxICZBiij
385
<s>[INST] The next text is a tweet probably about migration:"@Migraciones_AR Hola cómo están necesito que me ayuden con mi trámite, tengo mucho tiempo ( mas de 5 meses) y no ha sido resuelto. Ya les escribí al DM con mis datos. Ayuda por favor. He insistido muchas veces y nada. @florcarignanook @Migraciones_AR" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,564,748,379,703,353,300
1,564,748,379,703,353,300
unrelated
4
@Migraciones_AR Hola cómo están necesito que me ayuden con mi trámite, tengo mucho tiempo ( mas de 5 meses) y no ha sido resuelto. Ya les escribí al DM con mis datos. Ayuda por favor. He insistido muchas veces y nada. @florcarignanook @Migraciones_AR
945
<s>[INST] The next text is a tweet probably about migration:"@dayanam25 @augustosisa A ustedes al menos les hacen migración automática de gran parte de la info… A este pechito le toca Alone 🫠" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,538,236,758,172,831,700
1,538,236,758,172,831,700
unrelated
4
@dayanam25 @augustosisa A ustedes al menos les hacen migración automática de gran parte de la info… A este pechito le toca Alone 🫠
197
<s>[INST] The next text is a tweet probably about migration:"Yo siempre creí que @tiktok_us era un aplicación de mierda, ni si quiera en la pandemia abrí eso. Ahora vi lo que están haciendo con las familias sirias desplazadas por la guerra y ahora sí no me queda la menor duda de que es una aplicación de mierda." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,581,114,154,500,255,700
1,581,114,154,500,255,700
unrelated
4
Yo siempre creí que @tiktok_us era un aplicación de mierda, ni si quiera en la pandemia abrí eso. Ahora vi lo que están haciendo con las familias sirias desplazadas por la guerra y ahora sí no me queda la menor duda de que es una aplicación de mierda.
72
<s>[INST] The next text is a tweet probably about migration:"🇱🇰Camino de Colombo quisimos parar y conocer la residencia donde el célebre arquitecto esrilanqués Geoffrey Bawa tenía su refugio. Bawa es reconocido como uno de los arquitectos más importantes y influyentes de Asia en el siglo XX.#srilanka #srilankatravel #srilankatrip https://t.co/txuuJDfdk9" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,535,149,153,554,161,700
1,535,149,153,554,161,700
unrelated
4
🇱🇰Camino de Colombo quisimos parar y conocer la residencia donde el célebre arquitecto esrilanqués Geoffrey Bawa tenía su refugio. Bawa es reconocido como uno de los arquitectos más importantes y influyentes de Asia en el siglo XX.#srilanka #srilankatravel #srilankatrip https://t.co/txuuJDfdk9
567
<s>[INST] The next text is a tweet probably about migration:"Soy un gran defensor de la academia y por eso advierto que no hay nada más erróneo que decir que es el refugio de la gente fracasada. Sin la academia sería muy difícil, casi imposible diría, planificar el “mundo real” como le llaman algunos. Sin academia no hay aplicada." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,597,653,889,578,578,000
1,597,653,889,578,578,000
unrelated
4
Soy un gran defensor de la academia y por eso advierto que no hay nada más erróneo que decir que es el refugio de la gente fracasada. Sin la academia sería muy difícil, casi imposible diría, planificar el “mundo real” como le llaman algunos. Sin academia no hay aplicada.
444
<s>[INST] The next text is a tweet probably about migration:"Hasta el 29 de diciembre, #VeníAlMUNTREF Sede Hotel de Inmigrantes y visitá la muestra que inauguramos en el marco de la BIM 2022: ¿DÓNDE VIVIR?" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,605,180,718,795,325,400
1,605,180,718,795,325,400
unrelated
4
Hasta el 29 de diciembre, #VeníAlMUNTREF Sede Hotel de Inmigrantes y visitá la muestra que inauguramos en el marco de la BIM 2022: ¿DÓNDE VIVIR?
827
<s>[INST] The next text is a tweet probably about migration:"@MarioNolio @Samurai29464219 @Dante110624 @MirafloresEl @VENEZUELAIndep1 @Perreneitor @Luis__Crespo_ @TokugawaXXIII @Cristia40129264 @HUS07777781 @OJOVENE @Tropatriunfante @1961Tokio @urbimaria37 @Klobo91 @ErikZelada2 @CleoGKlein @GoldAbrahama @criszzuela @antoniovaldez6 @AlfieSolomom @Carol18ing @Yaari97369910 @Spetsnaz2022 @josemigrante @CatalinoMeltro2 @alejoZuluagaSi1 @Gabriel71872331 @kryptpublicidad @DukeShelby1 @HerneyCruz2 @CarpinteroAlejo @2Viejis39 @saintmayo1981 @manoantonio_2 @antoniocarriza3 @DrJete @ProfdeCaliches @yaruabella @JohnnyDogsX @HoyEliDenuncio @SUCIALISM0 @marthadiazc @EDavidiazubv @IIuminat @titaeti @jerafervas1 @christioncillo @Pun1sh3r74x @Osman56398887 Una pregunta que me he formulado, de que irá a vivir el bueno para nada ese. Creo que vivirá del criado que tiene trabajando en EEUU lavando la poceta en banda. Ese coño jamás ha trabajado compadrito." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,559,585,336,237,457,400
1,559,585,336,237,457,400
unrelated
4
@MarioNolio @Samurai29464219 @Dante110624 @MirafloresEl @VENEZUELAIndep1 @Perreneitor @Luis__Crespo_ @TokugawaXXIII @Cristia40129264 @HUS07777781 @OJOVENE @Tropatriunfante @1961Tokio @urbimaria37 @Klobo91 @ErikZelada2 @CleoGKlein @GoldAbrahama @criszzuela @antoniovaldez6 @AlfieSolomom @Carol18ing @Yaari97369910 @Spetsnaz2022 @josemigrante @CatalinoMeltro2 @alejoZuluagaSi1 @Gabriel71872331 @kryptpublicidad @DukeShelby1 @HerneyCruz2 @CarpinteroAlejo @2Viejis39 @saintmayo1981 @manoantonio_2 @antoniocarriza3 @DrJete @ProfdeCaliches @yaruabella @JohnnyDogsX @HoyEliDenuncio @SUCIALISM0 @marthadiazc @EDavidiazubv @IIuminat @titaeti @jerafervas1 @christioncillo @Pun1sh3r74x @Osman56398887 Una pregunta que me he formulado, de que irá a vivir el bueno para nada ese. Creo que vivirá del criado que tiene trabajando en EEUU lavando la poceta en banda. Ese coño jamás ha trabajado compadrito.
552
<s>[INST] The next text is a tweet probably about migration:"Acabo de ver el video de los cabros chicos en calle Ahumada ofreciendo cuchillazos, brijido. Y no estoy ñiai en decirlo, lo podrido de la inmigración hay que echarlo cagando, tenga 7 años u 80 años. No lidiamos con nuestra mierda y tenemos que bancar la de afuera." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [2]. </s>
1,597,398,672,920,440,800
1,597,398,672,920,440,800
anti-immigration
2
Acabo de ver el video de los cabros chicos en calle Ahumada ofreciendo cuchillazos, brijido. Y no estoy ñiai en decirlo, lo podrido de la inmigración hay que echarlo cagando, tenga 7 años u 80 años. No lidiamos con nuestra mierda y tenemos que bancar la de afuera.
219
<s>[INST] The next text is a tweet probably about migration:"@MBehrensL @atun_fc @ElKoki_9 @jmirandaca @rick_madridista @OrielAsylum @KurenoWu @Danyquintana07 @Jess45237667 @Ronald7Sta @Diannebohemian @Robertovallebon @Roooodriolme97 @JZenteno2 @B_IsJoBa_827170 @JoCoRM10 @JaimeRMCF Seguidos todos! Os espero de vuelta que mañana reviso 😏😉" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,549,118,493,873,692,700
1,549,118,493,873,692,700
unrelated
4
@MBehrensL @atun_fc @ElKoki_9 @jmirandaca @rick_madridista @OrielAsylum @KurenoWu @Danyquintana07 @Jess45237667 @Ronald7Sta @Diannebohemian @Robertovallebon @Roooodriolme97 @JZenteno2 @B_IsJoBa_827170 @JoCoRM10 @JaimeRMCF Seguidos todos! Os espero de vuelta que mañana reviso 😏😉
889
<s>[INST] The next text is a tweet probably about migration:"Chiriqui- PANAMÁ ( Clandestino) 23 de Julio https://t.co/dp3qiVmejj" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,547,032,601,323,511,800
1,547,032,601,323,511,800
unrelated
4
Chiriqui- PANAMÁ ( Clandestino) 23 de Julio https://t.co/dp3qiVmejj
796
<s>[INST] The next text is a tweet probably about migration:"@sanchezcastejon no exportar tantos millones de cerdos a China nos contamina y hay solo para nosotros dejar digitalización y producción en el campo y desaladoras fuera este Gobierno no hay aceite ni con Franco traer refugiados darle casas campo pueblos abandonados y tierra tra" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [1]. </s>
1,501,187,329,834,340,400
1,501,187,329,834,340,400
pro-immigration
1
@sanchezcastejon no exportar tantos millones de cerdos a China nos contamina y hay solo para nosotros dejar digitalización y producción en el campo y desaladoras fuera este Gobierno no hay aceite ni con Franco traer refugiados darle casas campo pueblos abandonados y tierra tra
176
<s>[INST] The next text is a tweet probably about migration:"Contraste entre ciudades, Córdoba y Rosario en 1884. Ésta, cosmopolita, con una gran cantidad de inmigrantes recién llegados, carecía del atractivo señorial de la otra. La comida era aquí “en el eterno carnero con papas, de todas las fondas del mundo”. https://t.co/r9rsuAlNkt" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,528,327,840,906,850,300
1,528,327,840,906,850,300
unrelated
4
Contraste entre ciudades, Córdoba y Rosario en 1884. Ésta, cosmopolita, con una gran cantidad de inmigrantes recién llegados, carecía del atractivo señorial de la otra. La comida era aquí “en el eterno carnero con papas, de todas las fondas del mundo”. https://t.co/r9rsuAlNkt
627
<s>[INST] The next text is a tweet probably about migration:"HONOR A LOS DESPLAZADOS" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [1]. </s>
1,533,513,481,676,284,000
1,533,513,481,676,284,000
pro-immigration
1
HONOR A LOS DESPLAZADOS
233
<s>[INST] The next text is a tweet probably about migration:"NO SEA INGENUA. LA IZMIERDA GOLPISTA PIROMANA DELIRANTE PREPARA UN AUTOGOLPE. LOS SOLDADOS DISFRAZADOS DE REFUGIADO… https://t.co/n4HsN8JfgY" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,608,646,994,364,633,000
1,608,646,994,364,633,000
unrelated
4
NO SEA INGENUA. LA IZMIERDA GOLPISTA PIROMANA DELIRANTE PREPARA UN AUTOGOLPE. LOS SOLDADOS DISFRAZADOS DE REFUGIADO… https://t.co/n4HsN8JfgY
572
<s>[INST] The next text is a tweet probably about migration:"@Yaari97369910 @Perreneitor @alejoZuluagaSi1 @2Viejis39 @Resiliente_Vzla @OJOVENE @HUS07777781 @1961Tokio @criszzuela @cesarbelmares @118ari @ElCimarron2023 @antoniovaldez6 @Tropatriunfante @CarpinteroAlejo @INowk4 @AquiJodio57 @urbimaria37 @gladisbellamia @WilfredoNc @lobachevscki @Klobo91 @Alaa1Ramiro @Samurai17499983 @Fooros @jerafervas1 @Luis__Crespo_ @ProfesordAtorra @arkangelnx @apitopapa31 @MirafloresEl @ScorpionKillerZ @Samurai31860445 @CatalinoMeltro2 @luisf_2205 @billmeinhardt @MarioNolio @Macuro33 @constantine0210 @maxHaLF1 @josemigrante @ValeVale1623 @Cristia40129264 @welcoMEtoZ1 @Ciudadanouru @Sacrvmsanto @IIuminat @Samurai29464219 @VENEZUELAIndep1 A buenas ganas de buscar que perdamos los estribos, parcerito porque no mejor me soplad la vela Ramona..." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,580,633,483,541,872,600
1,580,633,483,541,872,600
unrelated
4
@Yaari97369910 @Perreneitor @alejoZuluagaSi1 @2Viejis39 @Resiliente_Vzla @OJOVENE @HUS07777781 @1961Tokio @criszzuela @cesarbelmares @118ari @ElCimarron2023 @antoniovaldez6 @Tropatriunfante @CarpinteroAlejo @INowk4 @AquiJodio57 @urbimaria37 @gladisbellamia @WilfredoNc @lobachevscki @Klobo91 @Alaa1Ramiro @Samurai17499983 @Fooros @jerafervas1 @Luis__Crespo_ @ProfesordAtorra @arkangelnx @apitopapa31 @MirafloresEl @ScorpionKillerZ @Samurai31860445 @CatalinoMeltro2 @luisf_2205 @billmeinhardt @MarioNolio @Macuro33 @constantine0210 @maxHaLF1 @josemigrante @ValeVale1623 @Cristia40129264 @welcoMEtoZ1 @Ciudadanouru @Sacrvmsanto @IIuminat @Samurai29464219 @VENEZUELAIndep1 A buenas ganas de buscar que perdamos los estribos, parcerito porque no mejor me soplad la vela Ramona...
1,007
<s>[INST] The next text is a tweet probably about migration:"La vida de un hombre es lo que sus pensamientos hacen de ella. "Meditaciones de Marco Aurelio" @Xasel_BCN @_Dante67 @Ertico20 @desire_wet @Baran69_ @KIlustrador @galvader @rebelde_amante @Placerporno @ClandestinoBDSM @NitsdHotel @njeastman @obaantheia @billyguitar77v2 https://t.co/6EtDw3GP2J" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,496,874,916,792,180,700
1,496,874,916,792,180,700
unrelated
4
La vida de un hombre es lo que sus pensamientos hacen de ella. "Meditaciones de Marco Aurelio" @Xasel_BCN @_Dante67 @Ertico20 @desire_wet @Baran69_ @KIlustrador @galvader @rebelde_amante @Placerporno @ClandestinoBDSM @NitsdHotel @njeastman @obaantheia @billyguitar77v2 https://t.co/6EtDw3GP2J
157
<s>[INST] The next text is a tweet probably about migration:"#Documentary Documental de hora y media, presentado hoy @CEARefugio en los @GolemMadrid, sobre las miles de mujeres reclutadas por el #ISIS desde #Siria | Engañadas y manipuladas se adentrarán en una guerra salvaje y al rechazo de estados. Enhorabuena a la directora @AlbaSotorra https://t.co/Uy7FIEauv2" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,483,932,178,564,227,000
1,483,932,178,564,227,000
unrelated
4
#Documentary Documental de hora y media, presentado hoy @CEARefugio en los @GolemMadrid, sobre las miles de mujeres reclutadas por el #ISIS desde #Siria | Engañadas y manipuladas se adentrarán en una guerra salvaje y al rechazo de estados. Enhorabuena a la directora @AlbaSotorra https://t.co/Uy7FIEauv2
323
<s>[INST] The next text is a tweet probably about migration:"Entregan ayuda humanitaria a albergues con población migrante en Chiapas. https://t.co/t0X8BQwDAG https://t.co/vVksaoJDQO" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [3]. </s>
1,564,027,807,407,247,400
1,564,027,807,407,247,400
neutral
3
Entregan ayuda humanitaria a albergues con población migrante en Chiapas. https://t.co/t0X8BQwDAG https://t.co/vVksaoJDQO
150
<s>[INST] The next text is a tweet probably about migration:"@SofiaMenndosa @Gabriel61119463 Pavel el ALACRAN,el canciller,el cónsul que estaba en Migración y varios traidores más y quien apoye esa traicion" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,563,549,500,324,515,800
1,563,549,500,324,515,800
unrelated
4
@SofiaMenndosa @Gabriel61119463 Pavel el ALACRAN,el canciller,el cónsul que estaba en Migración y varios traidores más y quien apoye esa traicion
585
<s>[INST] The next text is a tweet probably about migration:"La misión diplomática holandesa se retira de la Zona Verde y busca refugio en la legación alemana." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,564,364,960,951,591,000
1,564,364,960,951,591,000
unrelated
4
La misión diplomática holandesa se retira de la Zona Verde y busca refugio en la legación alemana.
816
<s>[INST] The next text is a tweet probably about migration:"Trudeau no está refugiado, está escondido como la rata bastarda que es." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,490,054,993,256,267,800
1,490,054,993,256,267,800
unrelated
4
Trudeau no está refugiado, está escondido como la rata bastarda que es.
1,026
<s>[INST] The next text is a tweet probably about migration:"Este año se murieron 71 migrantes venezolanos en tránsito y @Pr1meroJusticia @partidoUNT y @ADemocratica están preo… https://t.co/Ox3qygVky8" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [3]. </s>
1,608,280,846,565,269,500
1,608,280,846,565,269,500
neutral
3
Este año se murieron 71 migrantes venezolanos en tránsito y @Pr1meroJusticia @partidoUNT y @ADemocratica están preo… https://t.co/Ox3qygVky8
224
<s>[INST] The next text is a tweet probably about migration:"Contraste entre ciudades, Córdoba y Rosario en 1884. Ésta, cosmopolita, con una gran cantidad de inmigrantes recién llegados, carecía del atractivo señorial de la otra. La comida era aquí “en el eterno carnero con papas, de todas las fondas del mundo”. https://t.co/r9rsuAlNkt" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,533,927,244,611,084,300
1,533,927,244,611,084,300
unrelated
4
Contraste entre ciudades, Córdoba y Rosario en 1884. Ésta, cosmopolita, con una gran cantidad de inmigrantes recién llegados, carecía del atractivo señorial de la otra. La comida era aquí “en el eterno carnero con papas, de todas las fondas del mundo”. https://t.co/r9rsuAlNkt
679
<s>[INST] The next text is a tweet probably about migration:"@ACambiarlos Pero ud y Bachelet fueron los iniciadores de traer tanto inmigrante a nuestro país, debieron consultar al pueblo si podían traer a estos extranjeros, pero se quedaron callados,no tienen perdon ni olvido." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [2]. </s>
1,491,551,962,264,862,700
1,491,551,962,264,862,700
anti-immigration
2
@ACambiarlos Pero ud y Bachelet fueron los iniciadores de traer tanto inmigrante a nuestro país, debieron consultar al pueblo si podían traer a estos extranjeros, pero se quedaron callados,no tienen perdon ni olvido.
593
<s>[INST] The next text is a tweet probably about migration:"Mañana comienza el #QatarWorldCup2022. Veré todos los partidos ⚽ que pueda y alentaré con pasión irracional por 🇺🇾. Y no olvidaré los +3500 trabajadores inmigrantes que murieron para hacerlo posible. Gracias @Felogolero por explicarlo en este capítulo de https://t.co/dwtHThNWNP" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [1]. </s>
1,594,076,176,867,381,200
1,594,076,176,867,381,200
pro-immigration
1
Mañana comienza el #QatarWorldCup2022. Veré todos los partidos ⚽ que pueda y alentaré con pasión irracional por 🇺🇾. Y no olvidaré los +3500 trabajadores inmigrantes que murieron para hacerlo posible. Gracias @Felogolero por explicarlo en este capítulo de https://t.co/dwtHThNWNP
88
<s>[INST] The next text is a tweet probably about migration:"@DiaztabitaE @ossabulliciosa @RefugioCaridad @BrownieBoric @Kari4_0 @XimenaAG70 @Caro_isa_V @Claudia46419060 @olivera_garr @iritas1117 Estamos igual. 😂 Aquí tomando agua de matico." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,477,488,435,313,066,000
1,477,488,435,313,066,000
unrelated
4
@DiaztabitaE @ossabulliciosa @RefugioCaridad @BrownieBoric @Kari4_0 @XimenaAG70 @Caro_isa_V @Claudia46419060 @olivera_garr @iritas1117 Estamos igual. 😂 Aquí tomando agua de matico.
402
<s>[INST] The next text is a tweet probably about migration:"Uds. Piensan que le importa? Si le importar estaria preocupado de la seguridad publica, de los inmigrantes ilegales y del narcotrafico, pero esta preocupado de admitiar a los presos de la revuelta y de comprarles tierras a la CAM , asi que no le importa, se 💩 en los 🇨🇱" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [2]. </s>
1,525,959,226,471,895,000
1,525,959,226,471,895,000
anti-immigration
2
Uds. Piensan que le importa? Si le importar estaria preocupado de la seguridad publica, de los inmigrantes ilegales y del narcotrafico, pero esta preocupado de admitiar a los presos de la revuelta y de comprarles tierras a la CAM , asi que no le importa, se 💩 en los 🇨🇱
306
<s>[INST] The next text is a tweet probably about migration:"Es como pasa con la xenofobia. La aporofobia (odiar al pobre) explica cómo se genera odio a los refugiados pero abrazamos a cualquier rico venga de donde venga. La riqueza es un ticket hacia cualquier lugar, por desgracia." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [1]. </s>
1,503,098,029,334,798,300
1,503,098,029,334,798,300
pro-immigration
1
Es como pasa con la xenofobia. La aporofobia (odiar al pobre) explica cómo se genera odio a los refugiados pero abrazamos a cualquier rico venga de donde venga. La riqueza es un ticket hacia cualquier lugar, por desgracia.
169
<s>[INST] The next text is a tweet probably about migration:"Mi casa siempre será el refugio seguro para mi." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,593,048,371,996,295,200
1,593,048,371,996,295,200
unrelated
4
Mi casa siempre será el refugio seguro para mi.
355
<s>[INST] The next text is a tweet probably about migration:"La Dirección de Extinción del @Plan_INFOCA actualiza el listado de efectivos y medios desplazados al #IFNívar… https://t.co/npIxfgAq9V" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,564,298,362,911,969,300
1,564,298,362,911,969,300
unrelated
4
La Dirección de Extinción del @Plan_INFOCA actualiza el listado de efectivos y medios desplazados al #IFNívar… https://t.co/npIxfgAq9V
156
<s>[INST] The next text is a tweet probably about migration:"@oposiciondicta Como Nicaragua? Donde las 🐁 se van a exiliar y son nombrados cuidadanos? El pais donde impera el Comunismo y con eso hicieron contra-campaña a @XiomaraCastroZ pero bien le sirvió de Refugio al Pastor 🤣🤣" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [2]. </s>
1,562,827,334,805,500,000
1,562,827,334,805,500,000
anti-immigration
2
@oposiciondicta Como Nicaragua? Donde las 🐁 se van a exiliar y son nombrados cuidadanos? El pais donde impera el Comunismo y con eso hicieron contra-campaña a @XiomaraCastroZ pero bien le sirvió de Refugio al Pastor 🤣🤣
1,003
<s>[INST] The next text is a tweet probably about migration:"@lopezobrador_ ¿Porqué si usted declara que la situación en México está mejorando, en seguridad, empleos, servicios médicos, etc. Los mexicanos están migrando de manera escandalosa a EU????? ¡Póngase a trabajar! Y a pensar en lo que está haciendo tan mal!!!" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,550,900,172,842,225,700
1,550,900,172,842,225,700
unrelated
4
@lopezobrador_ ¿Porqué si usted declara que la situación en México está mejorando, en seguridad, empleos, servicios médicos, etc. Los mexicanos están migrando de manera escandalosa a EU????? ¡Póngase a trabajar! Y a pensar en lo que está haciendo tan mal!!!
956
<s>[INST] The next text is a tweet probably about migration:"Al parecer, fue herido durante la noche de ayer sábado y por temor, pero no pidió ayuda y se refugio en su domicilio.  #Morelia https://t.co/lnLVaUMsYV" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,569,089,096,596,717,600
1,569,089,096,596,717,600
unrelated
4
Al parecer, fue herido durante la noche de ayer sábado y por temor, pero no pidió ayuda y se refugio en su domicilio.  #Morelia https://t.co/lnLVaUMsYV
246
<s>[INST] The next text is a tweet probably about migration:"@3Jaimealvagon @hdadsbernardo @BandaCruzRoja @CristobalLG Me faltó un Virgen del Refugio el pasado domingo eh!😜😜" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,560,019,180,061,073,400
1,560,019,180,061,073,400
unrelated
4
@3Jaimealvagon @hdadsbernardo @BandaCruzRoja @CristobalLG Me faltó un Virgen del Refugio el pasado domingo eh!😜😜
408
<s>[INST] The next text is a tweet probably about migration:"!Oh María Inmaculada!, Dulce Eres Madre mía, Eres refugio del alma, Auxilio de cada día. Amarte quiero por siempre, Dulce y preciosa María, A Jesús Vos me conduces, Eres mi modelo y guía. https://t.co/4Kugpto57o" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,499,059,903,276,535,800
1,499,059,903,276,535,800
unrelated
4
!Oh María Inmaculada!, Dulce Eres Madre mía, Eres refugio del alma, Auxilio de cada día. Amarte quiero por siempre, Dulce y preciosa María, A Jesús Vos me conduces, Eres mi modelo y guía. https://t.co/4Kugpto57o
23
<s>[INST] The next text is a tweet probably about migration:"Hay algo que no nos quieren contar de lo que esta pasando con nataly... Y es muy poca la INFORMACIÓN @MigracionCol @CancilleriaCol" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,588,981,047,232,200,700
1,588,981,047,232,200,700
unrelated
4
Hay algo que no nos quieren contar de lo que esta pasando con nataly... Y es muy poca la INFORMACIÓN @MigracionCol @CancilleriaCol
301
<s>[INST] The next text is a tweet probably about migration:"@valenzuelagabi En Chile ya casi no están quedando buenos días Gabriela… lamentablemente. Igual lindo fin de semana para usted. 👍🌹 #NoEsInmigracionEsINVASION #Expulsion #RechazoDeSalida2022 #DelincuentesVenezolanosFUERA" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [2]. </s>
1,492,144,366,671,990,800
1,492,144,366,671,990,800
anti-immigration
2
@valenzuelagabi En Chile ya casi no están quedando buenos días Gabriela… lamentablemente. Igual lindo fin de semana para usted. 👍🌹 #NoEsInmigracionEsINVASION #Expulsion #RechazoDeSalida2022 #DelincuentesVenezolanosFUERA
425
<s>[INST] The next text is a tweet probably about migration:"Gracias @FilippoGrandi y @ACNURspain fue un honor contar con vuestra visita en nuestro Centro de Acogida de Getafe @CEARefugio" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,533,530,342,983,880,700
1,533,530,342,983,880,700
unrelated
4
Gracias @FilippoGrandi y @ACNURspain fue un honor contar con vuestra visita en nuestro Centro de Acogida de Getafe @CEARefugio
290
<s>[INST] The next text is a tweet probably about migration:"@Mayuvi9 @VozdeAmerica @alvaroalgarra Como va a mejorar relaciones si lo que viene para Colombia es hambre,inflación y migraciones a granel," Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,567,178,869,374,914,600
1,567,178,869,374,914,600
unrelated
4
@Mayuvi9 @VozdeAmerica @alvaroalgarra Como va a mejorar relaciones si lo que viene para Colombia es hambre,inflación y migraciones a granel,
543
<s>[INST] The next text is a tweet probably about migration:"@allywooww Migración, cripto dividas, proyectos para las tres provincias costeras" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,485,455,684,762,312,700
1,485,455,684,762,312,700
unrelated
4
@allywooww Migración, cripto dividas, proyectos para las tres provincias costeras
147
<s>[INST] The next text is a tweet probably about migration:"Allá si que son cuánticos...que haría la Carolina toha con buses de migrantes fuera de su casa??? @gabrielboric https://t.co/UUnCpr39PN" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [2]. </s>
1,571,197,296,167,059,500
1,571,197,296,167,059,500
anti-immigration
2
Allá si que son cuánticos...que haría la Carolina toha con buses de migrantes fuera de su casa??? @gabrielboric https://t.co/UUnCpr39PN
266
<s>[INST] The next text is a tweet probably about migration:"Contraste entre ciudades, Córdoba y Rosario en 1884. Ésta, cosmopolita, con una gran cantidad de inmigrantes recién llegados, carecía del atractivo señorial de la otra. La comida era aquí “en el eterno carnero con papas, de todas las fondas del mundo”. https://t.co/r9rsuAlNkt" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,535,007,368,026,677,200
1,535,007,368,026,677,200
unrelated
4
Contraste entre ciudades, Córdoba y Rosario en 1884. Ésta, cosmopolita, con una gran cantidad de inmigrantes recién llegados, carecía del atractivo señorial de la otra. La comida era aquí “en el eterno carnero con papas, de todas las fondas del mundo”. https://t.co/r9rsuAlNkt
684
<s>[INST] The next text is a tweet probably about migration:"@FrenteaFrenteHN Para mi es una vergüenza compartida,Honduras por no juzgar a sus delincuentes y dejarlos ir ,y nicaragua por darles refugio y convertirse en una guarida." Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [3]. </s>
1,538,882,180,381,823,000
1,538,882,180,381,823,000
neutral
3
@FrenteaFrenteHN Para mi es una vergüenza compartida,Honduras por no juzgar a sus delincuentes y dejarlos ir ,y nicaragua por darles refugio y convertirse en una guarida.
1,079
<s>[INST] The next text is a tweet probably about migration:"@SergioChouza Volvió el refugiado?" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,537,771,061,193,891,800
1,537,771,061,193,891,800
unrelated
4
@SergioChouza Volvió el refugiado?
923
<s>[INST] The next text is a tweet probably about migration:"El Obispo de Apartadó se refirió a la crisis migratoria en el territorio de Urabá y el Darién ¿Usted conoce las iniciativas que realiza la Iglesia Católica en favor de esta población vulnerable?" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [3]. </s>
1,581,019,019,913,879,600
1,581,019,019,913,879,600
neutral
3
El Obispo de Apartadó se refirió a la crisis migratoria en el territorio de Urabá y el Darién ¿Usted conoce las iniciativas que realiza la Iglesia Católica en favor de esta población vulnerable?
289
<s>[INST] The next text is a tweet probably about migration:"@LesStonehouse Emigrate to Cuba? 🤣 https://t.co/QdC50Eny7S" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,487,257,086,442,741,800
1,487,257,086,442,741,800
unrelated
4
@LesStonehouse Emigrate to Cuba? 🤣 https://t.co/QdC50Eny7S
931
<s>[INST] The next text is a tweet probably about migration:"Contraste entre ciudades, Córdoba y Rosario en 1884. Ésta, cosmopolita, con una gran cantidad de inmigrantes recién llegados, carecía del atractivo señorial de la otra. La comida era aquí “en el eterno carnero con papas, de todas las fondas del mundo”. https://t.co/r9rsuAlNkt" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,529,425,606,705,815,600
1,529,425,606,705,815,600
unrelated
4
Contraste entre ciudades, Córdoba y Rosario en 1884. Ésta, cosmopolita, con una gran cantidad de inmigrantes recién llegados, carecía del atractivo señorial de la otra. La comida era aquí “en el eterno carnero con papas, de todas las fondas del mundo”. https://t.co/r9rsuAlNkt
629
<s>[INST] The next text is a tweet probably about migration:"¡Tenéis que venir! 🔊Hablaremos de fronteras, racismo y de organización popular de las trabajadoras migrantes ✊🌍 🔊También de la OTAN y de la lucha popular contra la guerra 🪖🔻 Nos acompañan: • @THogarZaragoza • @yuvelimunoz • @OtanNoMadrid • @jcaballerosoler https://t.co/oHZwnd4Fa9" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [1]. </s>
1,507,291,904,483,934,200
1,507,291,904,483,934,200
pro-immigration
1
¡Tenéis que venir! 🔊Hablaremos de fronteras, racismo y de organización popular de las trabajadoras migrantes ✊🌍 🔊También de la OTAN y de la lucha popular contra la guerra 🪖🔻 Nos acompañan: • @THogarZaragoza • @yuvelimunoz • @OtanNoMadrid • @jcaballerosoler https://t.co/oHZwnd4Fa9
566
<s>[INST] The next text is a tweet probably about migration:"No entiendo la agenda de este señor con el tema haitiano. Fué parte del gobierno de LF y le entregaron la Direcciòn de Migración a suu partido, debiò haber dejado una impronta en esa institución para que hoy no grite tanto una fusiòn e invasión que nunca llegan.#SeamosMasSerios https://t.co/yxrgRKz29T" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [1]. </s>
1,546,814,699,945,205,800
1,546,814,699,945,205,800
pro-immigration
1
No entiendo la agenda de este señor con el tema haitiano. Fué parte del gobierno de LF y le entregaron la Direcciòn de Migración a suu partido, debiò haber dejado una impronta en esa institución para que hoy no grite tanto una fusiòn e invasión que nunca llegan.#SeamosMasSerios https://t.co/yxrgRKz29T
694
<s>[INST] The next text is a tweet probably about migration:"01:05 en Lo Barnechea Llamado a fuego en vehículo (10-1) BX-19(R) Camino Los Refugios Del Arrayan y Lomas Suaves Bx-19 https://t.co/TvnO0nlpcx" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,544,910,582,880,641,000
1,544,910,582,880,641,000
unrelated
4
01:05 en Lo Barnechea Llamado a fuego en vehículo (10-1) BX-19(R) Camino Los Refugios Del Arrayan y Lomas Suaves Bx-19 https://t.co/TvnO0nlpcx
609
<s>[INST] The next text is a tweet probably about migration:"🔴Agenda informativa. - El 2022 podría marcar un nuevo hito en la cantidad de migrantes interceptados en la frontera sur de Estados Unidos. Esta y otras noticias las reporta @sofiapisani de la @VozdeAmerica https://t.co/jbQdlSubVQ" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [3]. </s>
1,549,721,732,461,772,800
1,549,721,732,461,772,800
neutral
3
🔴Agenda informativa. - El 2022 podría marcar un nuevo hito en la cantidad de migrantes interceptados en la frontera sur de Estados Unidos. Esta y otras noticias las reporta @sofiapisani de la @VozdeAmerica https://t.co/jbQdlSubVQ
218
<s>[INST] The next text is a tweet probably about migration:"Usted es loco...sinvergüenza y cree que nosotros somos desmemoriados...¿ En cual gobierno trabajo usted, buen ? El que apoyo el descontrol inmigratorio que estamos viviendo...buen falta de criterio !" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [2]. </s>
1,549,259,846,779,867,100
1,549,259,846,779,867,100
anti-immigration
2
Usted es loco...sinvergüenza y cree que nosotros somos desmemoriados...¿ En cual gobierno trabajo usted, buen ? El que apoyo el descontrol inmigratorio que estamos viviendo...buen falta de criterio !
383
<s>[INST] The next text is a tweet probably about migration:"@MigracionCol Señores @MigracionCol soy de septiembre y no tengo ninguna repuesta de ustedes por mi permiso y el de mi hijo !! He realizado pqrs acción de tutela 123 por mi modificación de dato y hasta 2 biométria y nada" Analyze carefully the tweet and assign it to the most relevant category among those listed below. Do not explain your answer and return only a number. Categoriy numbers: 1 = 'pro-immigration'; 2 = 'anti-immigration'; 3 = 'neutral'; 4 = 'unrelated'[/INST]. Answer = [4]. </s>
1,559,170,455,398,924,300
1,559,170,455,398,924,300
unrelated
4
@MigracionCol Señores @MigracionCol soy de septiembre y no tengo ninguna repuesta de ustedes por mi permiso y el de mi hijo !! He realizado pqrs acción de tutela 123 por mi modificación de dato y hasta 2 biométria y nada
482