Upload 2 files
Browse files- .gitattributes +1 -0
- make_manythings-translations-alpaca.py +128 -0
- manythings-translations-alpaca.json +3 -0
.gitattributes
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@@ -53,3 +53,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.jpeg filter=lfs diff=lfs merge=lfs -text
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*.webp filter=lfs diff=lfs merge=lfs -text
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.jpeg filter=lfs diff=lfs merge=lfs -text
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*.webp filter=lfs diff=lfs merge=lfs -text
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manythings-translations-alpaca.json filter=lfs diff=lfs merge=lfs -text
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make_manythings-translations-alpaca.py
ADDED
@@ -0,0 +1,128 @@
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import json
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import random
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# Read the JSONL file and parse each line into a dictionary
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with open('combined-randomized.jsonl', 'r') as file:
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data = [json.loads(line) for line in file][:] # Limit to the first 50 lines
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# List of phrases to randomly choose from
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instruction_phrases = [
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"i need a translation",
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"convert the following text",
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"convert the following message",
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"convert the following sentence",
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"communicate this text",
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"communicate this message",
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"communicate this sentence",
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"can you communicate this text",
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"can you communicate this message",
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"can you communicate this sentence",
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"please communicate this text",
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"please communicate this message",
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"please communicate this sentence",
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"please can you communicate this text",
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"please can you communicate this message",
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"please can you communicate this sentence",
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"can you please communicate this text",
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"can you please communicate this message",
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"can you please communicate this sentence",
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"translate this text",
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"translate this message",
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"translate this sentence",
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"can you translate this text",
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"can you translate this message",
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"can you translate this sentence",
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"please translate this text",
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"please translate this message",
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"please translate this sentence",
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"please can you translate this text",
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"please can you translate this message",
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"please can you translate this sentence",
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"can you please translate this text",
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"can you please translate this message",
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"can you please translate this sentence",
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"switch the text",
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"switch the message",
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"switch the sentence",
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"can you switch the text",
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"can you switch the message",
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"can you switch the sentence",
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"please switch the text",
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"please switch the message",
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"please switch the sentence",
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"please can you switch the text",
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"please can you switch the message",
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"please can you switch the sentence",
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"can you please switch the text",
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"can you please switch the message",
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"can you please switch the sentence",
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"translate this input text",
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"translate this input message",
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"translate this input sentence",
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"can you translate this input text",
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"can you translate this input message",
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"can you translate this input sentence",
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"please translate this input text",
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"please translate this input message",
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"please translate this input sentence",
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"please can you translate this input text",
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"please can you translate this input message",
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"please can you translate this input sentence",
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"can you please translate this input text",
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"can you please translate this input message",
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"can you please translate this input sentence",
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"convert",
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"please convert",
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"please can you convert",
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"can you please convert",
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"translate",
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"please translate",
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"please can you translate",
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"can you please translate",
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]
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# Function to create the instruction based on language pairs
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def create_instruction(from_lang, to_lang):
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phrase = random.choice(instruction_phrases)
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# Randomly decide to capitalize the phrase
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if random.random() < 0.5:
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phrase = phrase.capitalize()
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phrase = f"{phrase} from {from_lang} to {to_lang}"
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# Randomly decide to add a question mark
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if random.random() < 0.5:
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phrase += "?"
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return phrase
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# Initialize the final list to hold the formatted JSON data
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formatted_data = []
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# Iterate through each item in the original data and create two formatted entries for each
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for item in data:
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english_text = item.get('english')
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if english_text:
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for target_lang, translation in item.items():
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if target_lang != 'english':
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# Add instruction and input/output pairs to the formatted_data list for English to target language
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formatted_data.append({
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"instruction": create_instruction("English", target_lang.capitalize()),
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"input": english_text,
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"output": translation
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})
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# Add instruction and input/output pairs to the formatted_data list for target language to English
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formatted_data.append({
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"instruction": create_instruction(target_lang.capitalize(), "English"),
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"input": translation,
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"output": english_text
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})
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# Randomize the order of the formatted data
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random.shuffle(formatted_data)
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# Convert the formatted_data list to JSON format
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formatted_json = json.dumps(formatted_data, indent=2)
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# Save the formatted JSON data to a new file
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with open('manythings-translations-alpaca.json', 'w') as output_file:
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output_file.write(formatted_json)
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manythings-translations-alpaca.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:4e24d2de9fac8fdd054365365d2c76b4de837cb1e18bc0bfc7b0fec3c3f0fc0e
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size 1395150889
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