initial

README.md

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+tsvs are from here https://github.com/google-research/FLAN/tree/4c5f0ba64239f7ff98fe90a5426fa175f4d1713c/flan/v2/cot_data
+1 dupe removed, 31356 instances of alignment removed
+
+inspired by https://huggingface.co/datasets/ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
+
+All credit to anon8231489123 for the cleanup script that I adapted to wizardlm_clean.py, I then took this script and adapted it to clean_format_dedupe.p

clean_format_dedupe.py

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+import argparse
+import json
+
+from tqdm import tqdm
+
+from os import listdir
+from os.path import isfile, join
+
+def contains_unwanted_words(text):
+	unwanted_words = [
+		"text-based AI language model",
+		"domestic violence",
+		"please refrain",
+		"derogatory",
+		"inappropriate",
+		"offensive",
+		"racism",
+		"racist",
+		"racial",
+		"discriminate",
+		"discriminatory",
+		"discrimination",
+		"sexist",
+		"sexism",
+		"unacceptable",
+		"inclusive workplace",
+		"lgbt",
+		"morals",
+		"ethics",
+		"ethical",
+		"legality",
+		"illegal",
+		"illegality",
+		"hateful",
+		"harmful",
+		"it is never okay",
+		"It is important to",
+		"It's important to",
+		"real-world consequences",
+		"hate speech",
+		"glorify",
+		"not be appropriate",
+		"supremacist",
+		"extremist",
+		"responsible AI",
+		"AI principles",
+		"AI assistant",
+		"an AI language",
+		"ableist",
+		"hurtful",
+		"gender stereotype",
+		"gender inequality",
+		"underrepresentation",
+		"safe spaces",
+		"gender-based",
+		"inclusivity",
+		"feminist",
+		"feminism",
+		"transgender",
+		"empowerment",
+		"communist",
+		"capitalism",
+		"stereotypes",
+		"biases",
+		"bias",
+		"Microaggression",
+		"prioritize human safety",
+		"as a language model",
+		"as an AI language model",
+		"As a large language model",
+		"As an AI",
+		"ethical principles",
+		"consensual",
+		"it is not appropriate",
+		"it's not appropriate",
+		"I cannot fulfill your request",
+		"harmful to human beings",
+		"ethical guidelines",
+		"my guidelines",
+		"prioritize user safety",
+		"adhere to ethical guidelines",
+		"harmful consequences",
+		"potentially harmful",
+		"dangerous activities",
+		"promote safety",
+		"well-being of all users",
+		"responsible information sharing",
+		"jeopardize the safety",
+		"illegal actions or intentions",
+		"undermine the stability",
+		"promote the well-being",
+		"illegal activities or actions",
+		"adherence to the law",
+		"potentially be harmful",
+		"illegal substances or activities",
+		"committed to promoting",
+		"safe information",
+		"lawful information",
+		"cannot provide guidance",
+		"cannot provide information",
+		"unable to offer assistance",
+		"cannot engage in discussions",
+		"programming prohibits",
+		"follow ethical guidelines",
+		"ensure the safety",
+		"involves an illegal subject",
+		"prioritize safety",
+		"illegal subject",
+		"prioritize user well-being",
+		"cannot support or promote",
+		"activities that could harm",
+		"pose a risk to others",
+		"against my programming",
+		"activities that could undermine",
+		"potentially dangerous",
+		"not within the scope",
+		"designed to prioritize safety",
+		"not able to provide",
+		"maintain user safety",
+		"adhere to safety guidelines",
+		"dangerous or harmful",
+		"cannot provide any information",
+		"focus on promoting safety",
+		"an AI language model you don't have",
+		"As an AI language model, I cannot",
+		"As an AI language model, I do not",
+		"As an AI language model, I am not able",
+		"As an AI language model, I don't have personal",
+		"I am an AI language model and do not",
+		"However, it is important to use any code or information provided responsibly and within legal and ethical boundaries.",
+		"As an AI language model, I don't have",
+		"As an AI language model, I am only able",
+		"AI language model and I do not",
+		"As an AI language model, I cannot modify",
+		"As an AI language model, I do not",
+		"I know as an AI language model you don't have",
+		"as an AI language model, you cannot",
+		"I'm sorry, but as an AI language model",
+		"As an AI language model, I don't have",
+		"Unfortunately, I cannot provide",
+		"I'm sorry, I cannot",
+		"I'm sorry, I cannot generate",
+		"AI cannot create or program",
+		"I'm afraid I cannot create",
+		"you cannot create an",
+		"it operates ethically and is",
+		"had an ethical system",
+		"Ensuring the ethical",
+		"and ethical sourcing",
+		"are from ethical",
+		"legal and ethical",
+		"engage in unethical",
+		"unethical or aggressive",
+		"unethical business",
+		"como modelo de lenguaje AI",
+		"Lo siento, como modelo de lenguaje",
+		"no puedo proporcionar",
+		"pero debido a mi capacidad para generar c\u00f3digos complejos y completos es limitado",
+		"Lo siento, pero no puedo",
+		"Lo siento, pero como modelo de lenguaje, no puedo proporcionar",
+		"Lo siento, como modelo de lenguaje, no tengo",
+		"Lo siento, debe haber habido una confusi\u00f3n",
+		"Lo siento, como modelo de lenguaje, no puedo realizar",
+		"Lo siento, soy un modelo de lenguaje y no tengo la capacidad de generar",
+		"Lamento no poder proporcionarte el c\u00f3digo",
+		"Desculpe-me, mas a linguagem vulgar e ofensiva",
+		"apropriada em nenhum contexto",
+		"Como modelo de linguagem",
+		"Como um modelo de linguagem, n\u00e3o tenho a capacidade de",
+		"I cannot assist",
+		"prioritize ethical",
+		"respectful",
+		"morally",
+		"I'm sorry,",
+		"I'm an",
+		"I am an",
+		"I'm an AI" ,
+		"I am an AI",
+		"my purpose",
+		"filter_bad_language",
+		"filter\_bad\_language",
+		"entertainment purposes",
+		"purely hypothetical",
+		"not a human",
+		"I am an AI",
+		"cannot provide",
+		"can't provide",
+		"won't provide",
+		"not provide",
+		"worth noting",
+		"cause harm",
+		"a language model",
+		"keep in mind",
+		"unethical",
+		"bad language",
+		"the words ****",
+		"bad_language",
+		"certainly not",
+		"complying",
+		"comply",
+		"I cannot",
+		"my main goal",
+		"As a machine",
+		"I don't have the ability",
+		"I am here to assist",
+		"my purpose is to ",
+		"my knowledge cutoff",
+		"my knowledge cut off",
+		"September 2021",
+		"regulations",
+		"not be suitable",
+		"I apologize, but",
+		"It is not possible",
+		"controversial",
+		"my programming",
+		"ethically",
+		"it is important to",
+		"Please note",
+		"sensitive topic",
+		"not acceptable",
+		"It is important for",
+		"divisive",
+		"not appropriate",
+		"our values",
+		"f\*cking",
+		"F\*ck",
+		"sh\*t",
+		"diversity and",
+		"diversity and inclusion",
+		"values diversity",
+		"social responsibility",
+		"environmental, social, and governance",
+		" ESG ",
+		"against women",
+		"problematic history",
+		"diversity",
+		"*This chat conversation is shared from",
+		"*This conversation is shared from",
+		"ChatGPT"
+	]
+	for word in unwanted_words:
+		if word.lower() in text.lower():
+			return True
+	return False
+
+if __name__ == "__main__":
+	parser = argparse.ArgumentParser()
+	parser.add_argument("--in-dir", type=str, required=True)
+	args = parser.parse_args()
+
+	dir = args.in_dir	
+	files  = [f for f in listdir(dir) if isfile(join(dir, f))]
+	
+	num_conv = 0
+	new_content = []
+	num_dupes = 0
+
+	for f in files:
+		tsv_lines = list(open(f"{dir}/{f}", "r"))
+		num_conv += len(tsv_lines)
+		for line in tqdm(tsv_lines):
+			vals = line.split("\t")
+			new = {}
+			if (not contains_unwanted_words(vals[0])) and (not contains_unwanted_words(vals[1])) and (not contains_unwanted_words(vals[2])): # tbh for flan u prolly dont need the whole unfiltering thing but i copy pasted this from the other shit so i will just leave it bc y not
+				new["question"] = vals[0]
+				new["answer"] = vals[1]
+				new["chain_of_thought"] = vals[2]
+				if(new_content.__contains__(new)):
+					num_dupes+=1
+				else:
+					new_content.append(new)
+
+	json_lines = [json.dumps(l) for l in new_content]
+	json_data = '\n'.join(json_lines)
+
+	print(f"return {len(new_content)} out of {num_conv}, {num_dupes} dupes removed, start dump ...")
+	if(len(new_content) != num_conv):
+		with open("flan_data.jsonl", 'w') as f:
+			f.write(json_data)