Merge branch 'main' into readme/update

assets/ar/QA/MultiNativQA_GPT4_ZeroShot.py

@@ -25,7 +25,6 @@ def config():
 
 
 def prompt(input_sample):
-
     # Define the question prompt
     question_prompt = f"""
     Please use your expertise to answer the following Arabic question. Answer in Arabic and rate your confidence level from 1 to 10. Provide your response in the following JSON format: {{"answer": "your answer", "score": your confidence score}}. Please provide JSON output only. No additional text. Answer should be limited to less or equal to {input_sample['length']} words.

assets/ar/QA/MultiNativQA_Llama3_8b_ZeroShot.py

@@ -24,7 +24,6 @@ def config():
 
 
 def prompt(input_sample):
-
     # Define the question prompt
     question_prompt = f"""
     Please use your expertise to answer the following Arabic question. Answer in Arabic and rate your confidence level from 1 to 10.

assets/ar/QA/MultiNativQA_Mistral_7b_ZeroShot.py

@@ -24,7 +24,6 @@ def config():
 
 
 def prompt(input_sample):
-
     # Define the question prompt
     # Provide your response in the following JSON format and provide JSON output only. No additional text.
     question_prompt = f"""

assets/ar/factuality_disinformation_harmful_content/adult_content_detection/Adult_GPT4_FewShot_Arabic.py

@@ -0,0 +1,94 @@
+from llmebench.datasets import AdultDataset
+from llmebench.models import OpenAIModel
+from llmebench.tasks import AdultTask
+
+
+def metadata():
+    return {
+        "author": "Mohamed Bayan Kmainasi, Rakif Khan, Ali Ezzat Shahroor, Boushra Bendou, Maram Hasanain, and Firoj Alam",
+        "affiliation": "Arabic Language Technologies, Qatar Computing Research Institute (QCRI), Hamad Bin Khalifa University (HBKU)",
+        "model": "GPT-4o-2024-05-22",
+        "description": "For a comprehensive analysis and results, refer to our peer-reviewed publication available at [Springer](https://doi.org/10.1007/978-981-96-0576-7_30) or explore the preprint version on [arXiv](https://arxiv.org/abs/2409.07054).",
+    }
+
+
+def config():
+    return {
+        "dataset": AdultDataset,
+        "task": AdultTask,
+        "model": OpenAIModel,
+        "model_args": {
+            "class_labels": ["ADULT", "NOT_ADULT"],
+            "max_tries": 30,
+        },
+        "general_args": {
+            "fewshot": {
+                "deduplicate": True,
+            },
+        },
+    }
+
+
+def few_shot_prompt(input_sample, base_prompt, examples):
+    out_prompt = base_prompt + "\n\n"
+    out_prompt = out_prompt + "اليك بعض الامثلة:\n\n"
+    for index, example in enumerate(examples):
+        label = "للبالغين" if example["label"] == "ADULT" else "ليست للبالغين"
+
+        out_prompt = (
+            out_prompt
+            + "مثال "
+            + str(index)
+            + ":"
+            + "\n"
+            + "التغريدة: "
+            + example["input"]
+            + "\التصنيف: "
+            + label
+            + "\n\n"
+        )
+
+    # Append the sentence we want the model to predict for but leave the Label blank
+    out_prompt = out_prompt + "التغريدة: " + input_sample + "\التصنيف: \n"
+
+    return out_prompt
+
+
+def prompt(input_sample, examples):
+    base_prompt = "هل تحتوي التغريدة التالية على لغة للبالغين؟ اجب 'للبالغين' أو 'ليست للبالغين' بدون أي تفسير."
+    return [
+        {
+            "role": "system",
+            "content": "أنت محلل خبير، يمكنك تحديد وتصنيف المحتوى الخاص بالبالغين في التغريدة.",
+        },
+        {
+            "role": "user",
+            "content": few_shot_prompt(input_sample, base_prompt, examples),
+        },
+    ]
+
+
+def post_process(response):
+    if not response:
+        return None
+
+    label = response["choices"][0]["message"]["content"]
+    label = label.replace("التصنيف:", "").strip()
+    label = label.replace("label:", "").strip()
+    label = label.lower()
+
+    if (
+        "ليس" in label
+        or "ليست" in label
+        or "not" in label
+        or "no" in label
+        or "غير" in label
+        or "لا" in label
+        or "not_adult" in label
+        or "not adult" in label
+    ):
+        return "NOT_ADULT"
+    elif "للبالغين" in label or "نعم" in label or "adult" in label:
+        return "ADULT"
+    else:
+        return None

assets/ar/factuality_disinformation_harmful_content/adult_content_detection/Adult_GPT4_FewShot_English.py

@@ -0,0 +1,91 @@
+from llmebench.datasets import AdultDataset
+from llmebench.models import OpenAIModel
+from llmebench.tasks import AdultTask
+
+
+def metadata():
+    return {
+        "author": "Mohamed Bayan Kmainasi, Rakif Khan, Ali Ezzat Shahroor, Boushra Bendou, Maram Hasanain, and Firoj Alam",
+        "affiliation": "Arabic Language Technologies, Qatar Computing Research Institute (QCRI), Hamad Bin Khalifa University (HBKU)",
+        "model": "GPT-4o-2024-05-22",
+        "description": "For a comprehensive analysis and results, refer to our peer-reviewed publication available at [Springer](https://doi.org/10.1007/978-981-96-0576-7_30) or explore the preprint version on [arXiv](https://arxiv.org/abs/2409.07054).",
+    }
+
+
+def config():
+    return {
+        "dataset": AdultDataset,
+        "task": AdultTask,
+        "model": OpenAIModel,
+        "model_args": {
+            "class_labels": ["ADULT", "NOT_ADULT"],
+            "max_tries": 30,
+        },
+        "general_args": {
+            "fewshot": {
+                "deduplicate": True,
+            },
+        },
+    }
+
+
+def few_shot_prompt(input_sample, base_prompt, examples):
+    out_prompt = base_prompt + "\n\n"
+    out_prompt = out_prompt + "Here are some examples:\n\n"
+    for index, example in enumerate(examples):
+        out_prompt = (
+            out_prompt
+            + "Example "
+            + str(index)
+            + ":"
+            + "\n"
+            + "tweet: "
+            + example["input"]
+            + "\nlabel: "
+            + example["label"]
+            + "\n\n"
+        )
+
+    # Append the sentence we want the model to predict for but leave the Label blank
+    out_prompt = out_prompt + "tweet: " + input_sample + "\nlabel: \n"
+
+    return out_prompt
+
+
+def prompt(input_sample, examples):
+    base_prompt = f'Does the following tweet contain adult content? label it as "ADULT" if it does, or "NOT_ADULT" otherwise. Return label only.'
+    return [
+        {
+            "role": "system",
+            "content": "You are an expert annotator, you can identify and label adult content within a tweet.",
+        },
+        {
+            "role": "user",
+            "content": few_shot_prompt(input_sample, base_prompt, examples),
+        },
+    ]
+
+
+def post_process(response):
+    label = response["choices"][0]["message"]["content"]
+    label = label.replace("التصنيف:", "").strip()
+    label = label.replace("label:", "").strip()
+
+    label = label.replace("<s>", "").replace("</s>", "")
+    label = label.lower()
+
+    if (
+        "ليس" in label
+        or "ليست" in label
+        or "not" in label
+        or "no" in label
+        or "غير" in label
+        or "لا" in label
+        or "not_adult" in label
+        or "not adult" in label
+    ):
+        return "NOT_ADULT"
+    elif "للبالغين" in label or "نعم" in label or "adult" in label:
+        return "ADULT"
+    else:
+        return None

assets/ar/factuality_disinformation_harmful_content/adult_content_detection/Adult_GPT4_FewShot_Mixed.py

@@ -0,0 +1,95 @@
+from llmebench.datasets import AdultDataset
+from llmebench.models import OpenAIModel
+from llmebench.tasks import AdultTask
+
+
+def metadata():
+    return {
+        "author": "Mohamed Bayan Kmainasi, Rakif Khan, Ali Ezzat Shahroor, Boushra Bendou, Maram Hasanain, and Firoj Alam",
+        "affiliation": "Arabic Language Technologies, Qatar Computing Research Institute (QCRI), Hamad Bin Khalifa University (HBKU)",
+        "model": "GPT-4o-2024-05-22",
+        "description": "For a comprehensive analysis and results, refer to our peer-reviewed publication available at [Springer](https://doi.org/10.1007/978-981-96-0576-7_30) or explore the preprint version on [arXiv](https://arxiv.org/abs/2409.07054).",
+    }
+
+
+def config():
+    return {
+        "dataset": AdultDataset,
+        "task": AdultTask,
+        "model": OpenAIModel,
+        "model_args": {
+            "class_labels": ["ADULT", "NOT_ADULT"],
+            "max_tries": 30,
+        },
+        "general_args": {
+            "fewshot": {
+                "deduplicate": True,
+            },
+        },
+    }
+
+
+def few_shot_prompt(input_sample, base_prompt, examples):
+    out_prompt = base_prompt + "\n\n"
+    out_prompt = out_prompt + "اليك بعض الامثلة:\n\n"
+    for index, example in enumerate(examples):
+        out_prompt = (
+            out_prompt
+            + "مثال "
+            + str(index)
+            + ":"
+            + "\n"
+            + "التغريدة: "
+            + example["input"]
+            + "\التصنيف: "
+            + example["label"]
+            + "\n\n"
+        )
+
+    # Append the sentence we want the model to predict for but leave the Label blank
+    out_prompt = out_prompt + "التغريدة: " + input_sample + "\التصنيف: \n"
+
+    return out_prompt
+
+
+def prompt(input_sample, examples):
+    base_prompt = f'بالنظر إلى التغريدة التالية، صنفها على أنها "ADULT" أو "NOT_ADULT" بناء على محتوى التغريدة'
+    return [
+        {
+            "role": "system",
+            "content": "أنت محلل خبير، يمكنك تحديد وتصنيف المحتوى الخاص بالبالغين في التغريدة.",
+        },
+        {
+            "role": "user",
+            "content": few_shot_prompt(input_sample, base_prompt, examples),
+        },
+    ]
+
+
+def post_process(response):
+    if not response:
+        return None
+
+    label = response["choices"][0]["message"]["content"]
+
+    label = label.replace("التصنيف:", "").strip()
+    label = label.replace("label:", "").strip()
+
+    label = label.replace("<s>", "").replace("</s>", "")
+    label = label.lower()
+
+    if (
+        "ليس" in label
+        or "ليست" in label
+        or "not" in label
+        or "no" in label
+        or "غير" in label
+        or "لا" in label
+        or "not_adult" in label
+        or "not adult" in label
+    ):
+        return "NOT_ADULT"
+    elif "للبالغين" in label or "نعم" in label or "adult" in label:
+        return "ADULT"
+    else:
+        return None

assets/ar/factuality_disinformation_harmful_content/adult_content_detection/Adult_GPT4_ZeroShot_Arabic.py

@@ -0,0 +1,68 @@
+from llmebench.datasets import AdultDataset
+from llmebench.models import OpenAIModel
+from llmebench.tasks import AdultTask
+
+
+def metadata():
+    return {
+        "author": "Mohamed Bayan Kmainasi, Rakif Khan, Ali Ezzat Shahroor, Boushra Bendou, Maram Hasanain, and Firoj Alam",
+        "affiliation": "Arabic Language Technologies, Qatar Computing Research Institute (QCRI), Hamad Bin Khalifa University (HBKU)",
+        "model": "GPT-4o-2024-05-22",
+        "description": "For a comprehensive analysis and results, refer to our peer-reviewed publication available at [Springer](https://doi.org/10.1007/978-981-96-0576-7_30) or explore the preprint version on [arXiv](https://arxiv.org/abs/2409.07054).",
+    }
+
+
+def config():
+    return {
+        "dataset": AdultDataset,
+        "task": AdultTask,
+        "model": OpenAIModel,
+        "model_args": {
+            "class_labels": ["ADULT", "NOT_ADULT"],
+            "max_tries": 3,
+        },
+    }
+
+
+def prompt(input_sample):
+    prompt_string = (
+        "هل تحتوي التغريدة التالية على لغة للبالغين؟ اجب 'للبالغين' أو 'ليست للبالغين' بدون أي تفسير.\n\n"
+        + "التغريدة: "
+        + input_sample
+        + "\nالتصنيف: "
+    )
+    return [
+        {
+            "role": "system",
+            "content": "أنت محلل خبير، يمكنك تحديد وتصنيف المحتوى الخاص بالبالغين في التغريدة.",
+        },
+        {
+            "role": "user",
+            "content": prompt_string,
+        },
+    ]
+
+
+def post_process(response):
+    label = response["choices"][0]["message"]["content"]
+    label = label.replace("التصنيف:", "").strip()
+    label = label.replace("label:", "").strip()
+
+    label = label.replace("<s>", "").replace("</s>", "")
+    label = label.lower()
+
+    if (
+        "ليس" in label
+        or "ليست" in label
+        or "not" in label
+        or "no" in label
+        or "غير" in label
+        or "لا" in label
+        or "not_adult" in label
+        or "not adult" in label
+    ):
+        return "NOT_ADULT"
+    elif "للبالغين" in label or "نعم" in label or "adult" in label:
+        return "ADULT"
+    else:
+        return None