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Evaulations

Model ID
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m8vxiyfiwxz63ez5k8owhuv833xsu4
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deymygs37rcsvxv5be38n072nu6lw5

Models

Model ID	Name	Description
acegpt-v2_8b_chat	AceGPT-v2 8B Chat
amazon_titan_nova_pro	Amazon Titan Nova Pro
aragpt2-mega	AraGPT2-Mega
c4ai_aya_expanse_32b	C4AI Aya Expanse 32B
claude_3_5_sonnet	Claude 3.5 Sonnet
command_r_7b_(2024-12)	Command R 7B (2024-12)
command_r+	Command R+
databricks_dbrx	Databricks DBRX
deepseek-v3	DeepSeek-V3
fanar_c-1_(8_7b)	Fanar C-1 (8.7B)
gemini_2_0_flash	Gemini 2.0 Flash
gemma_2_9b	Gemma 2 9B
gpt-4o	GPT-4o
grok-2	Grok-2
iron_horse_gamma_velorum_v5a	Iron Horse Gamma Velorum V5a
jais_13b_chat	JAIS 13B Chat
mistral_saba	Mistral SABA
qwen_2_5_32b	Qwen 2.5 32B
silma_9b_instruct_v1_0	SILMA 9B Instruct v1.0
yehia_7b_preview	Yehia 7B Preview
mistral_large	Mistral Large
nuha_v2	NUHA V2
gemini_2_5_flash	Gemini 2.5 Flash
gemini_2_5_flash_04-17	Gemini 2.5 Flash_04-17
gpt-4-turbo	gpt-4-turbo
65fc7ca4be50ea6c2db9eb56	65fc7ca4be50ea6c2db9eb56
allam-2-34b-dev	allam-2-34b-dev

Tasks

Task ID	Name	Description
1	Definition Generation	Generate definitions for concepts or phrases based on user context or request.
2	Dialogue Generation	Generate dialogue responses that reflect interaction between conversation participants.
3	Explanation	Provide explanations or supporting facts to clarify a response.
4	Instruction Generation	Transform user questions or requests into clear, categorized instructions.
5	Misc.	Generate miscellaneous information based on the task requirement.
6	News Article Generation	Write news articles based on a specific event description.
7	Poem Generation	Generate poems related to a given title or piece of text.
8	Question Generation	Create a question based on a provided answer.
9	Question Rewriting	Rephrase a question to make it clearer and more specific.
10	Sentence Composition	Generate a new hypothesis derived logically from a premise without contradiction.
11	Sentence Compression	Summarize a sentence or text while preserving the original meaning.
12	Story Composition	Write a logical and coherent story based on a given narrative.
13	Subject Generation	Suggest a suitable title or subject for a text or email.
14	Text Completion	Complete a given sentence with a logical and contextually appropriate continuation.
15	Text Generation	Generate a meaningful new text based on a given input.
16	Title Generation	Generate a suitable title that reflects the content of a text.
17	Wrong Candidate Generation	Generate an incorrect answer to a question.
18	Textual Entailment	Determine whether a certain conclusion can logically be inferred from a given text.
19	Fill in The Blank	Fill in missing words in sentences with semantically and grammatically appropriate choices.
20	Coreference Resolution	Identify the word or phrase that a pronoun in a sentence refers to.
21	Disease Mention Identification	Extract disease names mentioned in a text.
22	Extracting Required Information	Identify the required type of information or relation from a given text.
23	Keyword Extraction	Extract key words or phrases that summarize the content of a text.
24	Named Entity Recognition	Identify named entities such as people, locations, or genes from text.
25	Question Understanding	Identify the topic or entity the question is asking about.
26	Relation Extraction	Extract the relationship between two entities in a given text.
27	Cause Effect Classification	Identify the sentence that results from a specific cause in the text.
28	Coreference Resolution	Identify the word or phrase a pronoun refers to in the sentence.
29	Misc.	Generate supporting information in response to a question.
30	Predictive Analysis	Analyze given options to determine the most logical one based on input.
31	Riddle Solving	Solve simple riddles using logic.
32	Sentence Ordering	Reorder or insert a step in a logical sequence of events.
33	Program Execution	Execute mathematical equations or programming tasks.
34	Answering Given Question	Provide a direct and correct answer to a posed question.
35	Question Decomposition	Break down a complex question into a sequence of simpler ones for final answer.
36	Reading Comprehension	Extract and comprehend information from a passage to answer related questions.
37	Grammar Detection	Identify words in a sentence that contain grammatical errors.
38	Keyword Extraction	Extract keywords or key phrases that summarize the content.
39	Answer Extraction	Provide a direct and accurate answer to a question within a long passage.
40	Subject Generation	Suggest an appropriate title or subject for a text or email.
41	Subject Identification	Identify the main topic or purpose of a message or text.
42	Text Summarization	Summarize a long text into one or more concise sentences.
43	Topic Identification	Classify the content of a text based on its topic.
44	Command Interpretation	Identify instructions required from the text.
45	Dialect Identification	Identify the dialect used in an Arabic text.
46	Emotion Detection	Determine the emotion expressed in the text.
47	Intent Classification	Classify the user's intent from a question or request.
48	Offensive Language Detection	Detect whether the text contains hate or offensive content.
49	Problem Identification	Identify the type of problem or issue found in the text.
50	Sarcasm Detection	Detect whether a sentence contains sarcasm.
51	Sentiment Analysis	Analyze a character’s emotions based on a situation or sentence.
52	Text Categorization	Classify the text into a specific category.
53	Gender Rewriting	Adapt the text to match a different gender identity (e.g., male to female).
54	Grammar Correction	Correct grammatical and spelling errors in the text.
55	Intent Classification	Classify the user’s intent from their query or request.
56	Paraphrasing	Rephrase the sentence using a different grammatical structure while preserving meaning.
57	Question Rewriting	Rephrase an ambiguous question to make it clear and specific.
58	Text Simplification	Simplify complex text to make it easier to understand.
59	Dialect Translation	Translate an Arabic dialect to Modern Standard Arabic.
60	Machine Translation	Translate text from one language to another.
61	Transliteration	Convert Arabic text into phonetic (sound-based) representation.
100	Sentence Ordering	Reorder or insert a step in a logical sequence of events.
84	Dialogue Generation	Generate dialogue responses that reflect interaction between conversation participants.
85	Explanation	Provide explanations or supporting facts to clarify a response.
86	Text Completion	Complete a given sentence with a logical and contextually appropriate continuation.
110	Ethics Classification	assess and classify actions or behaviors based on ethical principles and commonly accepted moral standards.
87	Text Continuation Evaluation	Evaluate whether a given sentence or passage is a valid continuation of a provided text, based on contextual consistency and known background knowledge related to the text.
88	Semantic Similarity	Determining the type of semantic relationship between two given sentences
89	Textual Entailment	Determine whether a certain conclusion can logically be inferred from a given text.
90	Answer Verification	Evaluating whether the provided answer is correct and consistent with the information in the given text or provided knowledge.
91	Claim Verification	verify whether a given claim is supported by the evidence provided in the available text.
92	Fill in The Blank	Fill in missing words in sentences with semantically and grammatically appropriate choices.
93	Entity Categorization	classify a given entity into its most appropriate semantic category
94	Entity Relation Classification	Determining whether a semantic relationship exists between two entities mentioned in the text.
95	Extracting Required Information	Identify the required type of information or relation from a given text.
96	Cause Effect Classification	Identify the sentence that results from a specific cause in the text.
97	Coherence Classification	determine whether a given sentence is coherent with a preceding sentence or context.
98	Commonsense Validation	identify the sentence that violates commonsense reasoning or general world knowledge.
99	Logical Reasoning	apply logical reasoning to derive a correct conclusion from a given premise
101	Program Execution	Execute mathematical equations or programming tasks.
102	Answering Given Question	Provide a direct and correct answer to a posed question.
103	Answerability Classification	Determining whether the question can be fully answered based on the provided context or information.
104	Question Understanding	Assessing whether the provided clarification helps explain the intent of the original question and removes ambiguity.
105	Textual Inference Validation	Measuring models’ ability to validate inferences based solely on the text.
106	Part of speech tagging	identify part of speech of a given word
107	Dialect Identification	Identify the dialect used in an Arabic text.
108	Dialogue Act Recognition	Identifying the communicative function of a sentence, such as a question, command, or statement, based on its meaning and context.
109	Emotion Detection	Determine the emotion expressed in the text.
111	Offensive Language Detection	Detect whether the text contains hate or offensive content.
112	Question Categorization	Assigning a question to the appropriate category based on its meaning and content.
113	Sarcasm Detection	Detect whether a sentence contains sarcasm.
114	Sentiment Analysis	Analyze a character’s emotions based on a situation or sentence.
115	Spam Detection	identify whether a given message is spam or non-spam
116	Stereotype Detection	identifies whether a text contains a stereotype or presents an anti-stereotypical perspective based on its meaning and context.
117	Text Categorization	Classify the text into a specific category.
118	Topic Identification	Classify the content of a text based on its topic.
119	Grammar Correction	Correct grammatical and spelling errors in the text.
120	Machine Translation	Translate text from one language to another.
121	Definition Generation	Generate definitions for concepts or phrases based on user context or request.
122	Instruction Generation	Transform user questions or requests into clear, categorized instructions.
123	News Article Generation	Write news articles based on a specific event description.
124	Poem Generation	Generate poems related to a given title or piece of text.
125	Question Generation	Create a question based on a provided answer.
126	Sentence Composition	Generate a new hypothesis derived logically from a premise without contradiction.
127	Story Composition	Write a logical and coherent story based on a given narrative.
128	Text Generation	Generate a meaningful new text based on a given input.
129	Title Generation	Generate a suitable title that reflects the content of a text.
130	Wrong Candidate Generation	Generate an incorrect answer to a question.
131	Disease Mention Identification	Extract disease names mentioned in a text.
132	Keyword Extraction	Extract key words or phrases that summarize the content of a text.
133	Named Entity Recognition	Identify named entities such as people, locations, or genes from text.
134	Relation Extraction	Extract the relationship between two entities in a given text.
135	Coreference Resolution	Identify the word or phrase a pronoun refers to in the sentence.
136	Predictive Analysis	Analyze given options to determine the most logical one based on input.
137	Riddle Solving	Solve simple riddles using logic.
138	Question Decomposition	Break down a complex question into a sequence of simpler ones for final answer.
139	Grammar Detection	Identify words in a sentence that contain grammatical errors.
140	Subject Generation	Suggest an appropriate title or subject for a text or email.
141	Text Summarization	Summarize a long text into one or more concise sentences.
142	Command Interpretation	Identify instructions required from the text.
143	Intent Classification	Classify the user's intent from a question or request.
144	Problem Identification	Identify the type of problem or issue found in the text.
145	Gender Rewriting	Adapt the text to match a different gender identity (e.g., male to female).
146	Paraphrasing	Rephrase the sentence using a different grammatical structure while preserving meaning.
147	Question Rewriting	Rephrase an ambiguous question to make it clear and specific.
148	Text Simplification	Simplify complex text to make it easier to understand.
149	Dialect Translation	Translate an Arabic dialect to Modern Standard Arabic.
150	Transliteration	Convert Arabic text into phonetic (sound-based) representation.