Lots-of-LoRAs/task265_paper_reviews_language_identification huggingface dataset:
Definition: In this task, you are given a paper review. Based on the review, your job is to identify language and generate "en" if the review is in English or generate "es" if the review is in Spanish. Note that URLs in the text have been replaced with [Link].

Positive Example 1 -
Input: Este artículo no es un artículo de investigación, ya que sólo muestra cómo programar un robot mediante la herramienta de lógica difusa. Este tema ya ha sido propuesto como solución en navegación de robots.
Output: es

Positive Example 2 -
Input: I don't think the work reported in this paper is suitable for the SCCC conference. The author should consider reporting this experience on a conference more focused on practice in computer engineering than in CS reserarch. The material presented in the paper could be of interest for practicioners working with Oracle, namely a particular product.
Output: en

Negative Example 1 -
Input: Este artículo no es un artículo de investigación, ya que sólo muestra cómo programar un robot mediante la herramienta de lógica difusa. Este tema ya ha sido propuesto como solución en navegación de robots.
Output: en

Negative Example 2 -
Input: I don't think the work reported in this paper is suitable for the SCCC conference. The author should consider reporting this experience on a conference more focused on practice in computer engineering than in CS reserarch. The material presented in the paper could be of interest for practicioners working with Oracle, namely a particular product.
Output: es

Now complete the following example -
Input: From my original comments:  The results looks good but the baselines proposed are quite bad.  For instance in the table 2 "Misclassification rate for a 784-1024-1024-1024-10 " the result for the FC with floating point is 1.33%. Well far from what we can obtain from this topology, near to 0.8%. I would like to see "significant" compression levels on state of the art results or good baselines. I can get 0,6% with two FC hidden layers...  In CIFAR-10 experiments, i do not understand  why "Sparsely-Connected 90% + Single-Precision Floating-Point" is worse than "Sparsely-Connected 90% + BinaryConnect". So it is better to use binary than float.   Again i think that in the experiments the authors are not using all the techniques that can be easily applied to float but not to binary (gaussian noise or other regularizations). Therefore under my point of view the comparison between float and binary is not fair. This is a critic also for the original papers about binary and ternary precision.   In fact with this convolutional network, floating (standard) precision we can get lower that 9% of error rate. Again bad baselines.  ----  The authors reply still does not convince me.  I still think that the same technique should be applied on more challenging scenarios.
Output: 

 en
Definition: In this task, you are given a paper review. Based on the review, your job is to identify language and generate "en" if the review is in English or generate "es" if the review is in Spanish. Note that URLs in the text have been replaced with [Link].

Positive Example 1 -
Input: Este artículo no es un artículo de investigación, ya que sólo muestra cómo programar un robot mediante la herramienta de lógica difusa. Este tema ya ha sido propuesto como solución en navegación de robots.
Output: es

Positive Example 2 -
Input: I don't think the work reported in this paper is suitable for the SCCC conference. The author should consider reporting this experience on a conference more focused on practice in computer engineering than in CS reserarch. The material presented in the paper could be of interest for practicioners working with Oracle, namely a particular product.
Output: en

Negative Example 1 -
Input: Este artículo no es un artículo de investigación, ya que sólo muestra cómo programar un robot mediante la herramienta de lógica difusa. Este tema ya ha sido propuesto como solución en navegación de robots.
Output: en

Negative Example 2 -
Input: I don't think the work reported in this paper is suitable for the SCCC conference. The author should consider reporting this experience on a conference more focused on practice in computer engineering than in CS reserarch. The material presented in the paper could be of interest for practicioners working with Oracle, namely a particular product.
Output: es

Now complete the following example -
Input: El artículo presenta una propuesta de Reparación de Inconsistencias en Data Warehouses usando restricciones que tienen sentido semántico. Se proponen restricciones de prioridad y seguras, además de usar heurísticas previamente definidas en "Repairing dimensions hierarchies under inconsistent reclassification" para la computación de las r-reparaciones.  Los ejemplos que se utilizan para explicar la propuesta son claros. El artículo está bien escrito.
Output: 

 es
Definition: In this task, you are given a paper review. Based on the review, your job is to identify language and generate "en" if the review is in English or generate "es" if the review is in Spanish. Note that URLs in the text have been replaced with [Link].

Positive Example 1 -
Input: Este artículo no es un artículo de investigación, ya que sólo muestra cómo programar un robot mediante la herramienta de lógica difusa. Este tema ya ha sido propuesto como solución en navegación de robots.
Output: es

Positive Example 2 -
Input: I don't think the work reported in this paper is suitable for the SCCC conference. The author should consider reporting this experience on a conference more focused on practice in computer engineering than in CS reserarch. The material presented in the paper could be of interest for practicioners working with Oracle, namely a particular product.
Output: en

Negative Example 1 -
Input: Este artículo no es un artículo de investigación, ya que sólo muestra cómo programar un robot mediante la herramienta de lógica difusa. Este tema ya ha sido propuesto como solución en navegación de robots.
Output: en

Negative Example 2 -
Input: I don't think the work reported in this paper is suitable for the SCCC conference. The author should consider reporting this experience on a conference more focused on practice in computer engineering than in CS reserarch. The material presented in the paper could be of interest for practicioners working with Oracle, namely a particular product.
Output: es

Now complete the following example -
Input: The paper introduces a number of ideas / heuristics for learning and interpreting deep generative models of text (tf-idf weighting, a combination of using an inference networks with direct optimization of the variational parameters, a method for inducing context-sensitive word embeddings). Generally, the last bit is the most novel, interesting and promising one, however, I agree with the reviewers that empirical evaluation of this technique does not seem sufficient.     Positive:  -- the ideas are sensible   -- the paper is reasonably well written and clear    Negative  -- most ideas are not so novel  -- the word embedding method requires extra analysis / evaluation, comparison to other methods for producing context-sensitive embeddings, etc
Output: 

 en
Definition: In this task, you are given a paper review. Based on the review, your job is to identify language and generate "en" if the review is in English or generate "es" if the review is in Spanish. Note that URLs in the text have been replaced with [Link].

Positive Example 1 -
Input: Este artículo no es un artículo de investigación, ya que sólo muestra cómo programar un robot mediante la herramienta de lógica difusa. Este tema ya ha sido propuesto como solución en navegación de robots.
Output: es

Positive Example 2 -
Input: I don't think the work reported in this paper is suitable for the SCCC conference. The author should consider reporting this experience on a conference more focused on practice in computer engineering than in CS reserarch. The material presented in the paper could be of interest for practicioners working with Oracle, namely a particular product.
Output: en

Negative Example 1 -
Input: Este artículo no es un artículo de investigación, ya que sólo muestra cómo programar un robot mediante la herramienta de lógica difusa. Este tema ya ha sido propuesto como solución en navegación de robots.
Output: en

Negative Example 2 -
Input: I don't think the work reported in this paper is suitable for the SCCC conference. The author should consider reporting this experience on a conference more focused on practice in computer engineering than in CS reserarch. The material presented in the paper could be of interest for practicioners working with Oracle, namely a particular product.
Output: es

Now complete the following example -
Input: This paper proposes a character-aware attention residual network for sentence embedding. Several text classification tasks are used to evaluate the effectiveness of the proposed model. On two of the three tasks, the residual network outforms a few baselines, but couldn't beat the simple TFIDF-SVM on the last one.  This work is not novel enough. Character information has been applied in many previously published work, as cited by the authors. Residual network is also not new.  Why not testing the model on a few more widely used datasets for short text classification, such as TREC? More competitive baselines can be compared to. Also, it's not clear how the "Question" dataset was created and which domain it is.  Last, it is surprising that the format of citations throughout the paper is all wrong.   For example: like Word2Vec Mikolov et al. (2013) -> like Word2Vec (Mikolov et al., 2013)  The citations can't just mix with the normal text. Please refer to other published papers.
Output: 

 en
Definition: In this task, you are given a paper review. Based on the review, your job is to identify language and generate "en" if the review is in English or generate "es" if the review is in Spanish. Note that URLs in the text have been replaced with [Link].

Positive Example 1 -
Input: Este artículo no es un artículo de investigación, ya que sólo muestra cómo programar un robot mediante la herramienta de lógica difusa. Este tema ya ha sido propuesto como solución en navegación de robots.
Output: es

Positive Example 2 -
Input: I don't think the work reported in this paper is suitable for the SCCC conference. The author should consider reporting this experience on a conference more focused on practice in computer engineering than in CS reserarch. The material presented in the paper could be of interest for practicioners working with Oracle, namely a particular product.
Output: en

Negative Example 1 -
Input: Este artículo no es un artículo de investigación, ya que sólo muestra cómo programar un robot mediante la herramienta de lógica difusa. Este tema ya ha sido propuesto como solución en navegación de robots.
Output: en

Negative Example 2 -
Input: I don't think the work reported in this paper is suitable for the SCCC conference. The author should consider reporting this experience on a conference more focused on practice in computer engineering than in CS reserarch. The material presented in the paper could be of interest for practicioners working with Oracle, namely a particular product.
Output: es

Now complete the following example -
Input: Es una aplicación interesante, sin embargo los KPI no deben ser equivalentes a las medidas que finalmente quedarán en la tabla de hechos. Por ejemplo, el indicador promedio de defunciones por año, se debe implementar a través de la medida "cantidad de defunciones" que es una medida aditiva y se puede agregar por los distintos niveles de la dimensión (así puede obtenerse el KPI promedio por dia, mes, trimestre, etc). Hay varias dimensiones que están agrupadas en el modelo, siendo que son distintas (por ejemplo, caracteristica_madre). Se debe corregir el diseño, es posible que los resultados obtenidos por el sistema estén con errores.
Output: 

 es
Definition: In this task, you are given a paper review. Based on the review, your job is to identify language and generate "en" if the review is in English or generate "es" if the review is in Spanish. Note that URLs in the text have been replaced with [Link].

Positive Example 1 -
Input: Este artículo no es un artículo de investigación, ya que sólo muestra cómo programar un robot mediante la herramienta de lógica difusa. Este tema ya ha sido propuesto como solución en navegación de robots.
Output: es

Positive Example 2 -
Input: I don't think the work reported in this paper is suitable for the SCCC conference. The author should consider reporting this experience on a conference more focused on practice in computer engineering than in CS reserarch. The material presented in the paper could be of interest for practicioners working with Oracle, namely a particular product.
Output: en

Negative Example 1 -
Input: Este artículo no es un artículo de investigación, ya que sólo muestra cómo programar un robot mediante la herramienta de lógica difusa. Este tema ya ha sido propuesto como solución en navegación de robots.
Output: en

Negative Example 2 -
Input: I don't think the work reported in this paper is suitable for the SCCC conference. The author should consider reporting this experience on a conference more focused on practice in computer engineering than in CS reserarch. The material presented in the paper could be of interest for practicioners working with Oracle, namely a particular product.
Output: es

Now complete the following example -
Input: El campo de utilización de la aplicación es muy buena y necesaria, por lo que contribuye a la robótica. En la utilización de visión, falta incorporar tecnologías de visión computacional más actuales que la detección de objetos por flujo óptico, tal vez en este caso sea más factible utilizar tecnología de dos vistas con imágenes sucesivas. Su contenido es bastante claro.  Debe mejorar los siguiente:   Página 1	Resumen y título : Si bien está en inglés, falta escribir el resumen y el título en español o portugués  Página 2	No presenta trabajos relacionados, Si bien presenta referencias, no hace una presentación de trabajos relacionados  Página 3	No indica fielmente como detecta las botellas plásticas u obstáculos 	En vez de colocar a la popular Lena, seria más interesante colocar el cómo detecta las botellas plásticas u otros objetos con el detector de borde que utiliza.  Página 3        La referencia [10]	Existen trabajos de flujo óptico más actuales  al indicado  Página 6	En Resultados	Falta medir el grado efectividad de la recolección de objetos, se debería presentar medidas al respecto.  A que velocidad funciona el limpiador .. Falta mas trabajo en este ítem. Página 6	Robustez estructural alcanzada 	No presenta datos que permitan aseverar esto. Página 7	Ídem párrafo 2	No presentan la efectividad de la tecnología de visión computacional ni como  contribuye a evitar obstáculos, detección y recolección.. Es decir, se entiende que lo presentado se puede lograr, pero no presenta datos para concluir aquello.
Output: 

 es