David Pomerenke
commited on
Commit
·
9aa08d7
1
Parent(s):
d178010
Fix speed issues
Browse files- index.html +2 -2
- languagebench.py +32 -25
- pyproject.toml +1 -0
- results.json +489 -81
- results_summary.json +39 -9
- uv.lock +11 -0
index.html
CHANGED
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@@ -66,7 +66,7 @@
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fill: "grey",
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}))),
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Plot.text(summaryData, Plot.stackX({
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-
filter: (d) => d.speakers >
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x: "speakers",
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y2: "bleu",
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order: "bleu",
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@@ -75,7 +75,7 @@
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frameAnchor: "bottom",
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textAnchor: "end",
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dy: 10,
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rotate: 270
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}))
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]
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});
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fill: "grey",
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}))),
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Plot.text(summaryData, Plot.stackX({
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filter: (d) => d.speakers > 5_000_000,
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x: "speakers",
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y2: "bleu",
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order: "bleu",
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frameAnchor: "bottom",
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textAnchor: "end",
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dy: 10,
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rotate: 270,
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}))
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]
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});
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languagebench.py
CHANGED
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@@ -6,49 +6,59 @@ from os import getenv
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import evaluate
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import pandas as pd
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from dotenv import load_dotenv
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from joblib.memory import Memory
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from openai import AsyncOpenAI
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from tqdm.asyncio import tqdm_asyncio
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from tqdm.auto import tqdm
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# config
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models = [
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"openai/gpt-4o-mini",
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"google/gemini-flash-1.5",
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"anthropic/claude-3.5-sonnet",
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"
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"
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]
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# models = ["gpt-4o-mini"]
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original_language = "eng_Latn"
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dataset = "floresp-v2.0-rc.3/dev"
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random.seed(42)
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target_languages = [f.split(".")[1] for f in os.listdir(dataset)]
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target_languages = random.choices(target_languages, k=
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# target_languages = [
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# "eng_Latn",
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# "deu_Latn",
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# "fra_Latn",
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# "spa_Latn",
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# "cmn_Hans",
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# "cmn_Hant",
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# ]
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# setup
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load_dotenv()
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client = AsyncOpenAI(
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base_url="https://openrouter.ai/api/v1",
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api_key=getenv("OPENROUTER_API_KEY"),
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# api_key=getenv("OPENAI_API_KEY"),
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)
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cache = Memory(location=".cache", verbose=0).cache
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bleu = evaluate.load("sacrebleu")
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@cache
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async def complete(**kwargs):
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-
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def reorder(language_name):
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@@ -70,10 +80,11 @@ async def translate(model, target_language, target_script, sentence):
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messages=[
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{
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"role": "user",
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"content": f"Translate the following text to {target_language}
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}
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],
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temperature=0,
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)
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return reply.choices[0].message.content
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@@ -103,15 +114,11 @@ async def main():
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for model in models:
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stats = get_language_stats(target_language)
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print(f"{model} -> {stats['name']}")
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# predictions = [
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# await translate(model, stats["name"], stats["script"], sentence)
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# for sentence in tqdm(original_sentences[:n])
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# ]
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predictions = [
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translate(model, stats["name"], stats["script"], sentence)
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for sentence in
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]
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predictions = await tqdm_asyncio.gather(*predictions)
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metrics = bleu.compute(
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predictions=predictions,
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references=target_sentences[:n],
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@@ -130,11 +137,11 @@ async def main():
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)
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with open("results.json", "w") as f:
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json.dump(results, f, indent=2, ensure_ascii=False)
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# compute mean bleu for each target language
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pd.DataFrame(results).groupby("target_language_name").agg(
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{"bleu": "mean", "speakers": "mean"}
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).reset_index().to_json("results_summary.json", indent=2, orient="records")
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if __name__ == "__main__":
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asyncio.run(main())
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import evaluate
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import pandas as pd
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import requests
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from aiolimiter import AsyncLimiter
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from dotenv import load_dotenv
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from joblib.memory import Memory
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from openai import AsyncOpenAI
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from tqdm.asyncio import tqdm_asyncio
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# config
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models = [
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"openai/gpt-4o-mini",
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"anthropic/claude-3.5-sonnet",
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"meta-llama/llama-3.1-70b-instruct", # lots of slow repetitions for LRLs
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"mistralai/mistral-nemo",
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"google/gemini-flash-1.5", # very fast
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"qwen/qwen-2.5-72b-instruct", # somewhat slow
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]
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original_language = "eng_Latn"
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dataset = "floresp-v2.0-rc.3/dev"
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random.seed(42)
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target_languages = [f.split(".")[1] for f in os.listdir(dataset)]
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target_languages = random.choices(target_languages, k=15) + ["deu_Latn"]
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# setup
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load_dotenv()
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client = AsyncOpenAI(
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base_url="https://openrouter.ai/api/v1",
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api_key=getenv("OPENROUTER_API_KEY"),
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)
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cache = Memory(location=".cache", verbose=0).cache
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bleu = evaluate.load("sacrebleu")
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rate_limit = AsyncLimiter(max_rate=2, time_period=0.1)
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def check_rate_limit():
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print(
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requests.get(
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"https://openrouter.ai/api/v1/auth/key",
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headers={"Authorization": f"Bearer {getenv('OPENROUTER_API_KEY')}"},
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).json()
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)
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print(
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requests.get(
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"https://openrouter.ai/api/v1/models",
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headers={"Authorization": f"Bearer {getenv('OPENROUTER_API_KEY')}"},
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).json()
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)
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@cache
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async def complete(**kwargs):
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async with rate_limit:
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response = await client.chat.completions.create(**kwargs)
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return response
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def reorder(language_name):
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messages=[
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{
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"role": "user",
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"content": f"Translate the following text to the {target_language} language; use the {target_script} script; reply only with the translation:\n\n{sentence}",
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}
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],
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temperature=0.1,
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max_tokens=1024,
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)
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return reply.choices[0].message.content
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for model in models:
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stats = get_language_stats(target_language)
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print(f"{model} -> {stats['name']}")
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predictions = [
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translate(model, stats["name"], stats["script"], sentence)
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for sentence in original_sentences[:n]
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]
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predictions = await tqdm_asyncio.gather(*predictions, miniters=1)
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metrics = bleu.compute(
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predictions=predictions,
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references=target_sentences[:n],
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)
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with open("results.json", "w") as f:
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json.dump(results, f, indent=2, ensure_ascii=False)
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pd.DataFrame(results).groupby("target_language_name").agg(
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{"bleu": "mean", "speakers": "mean"}
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).reset_index().to_json("results_summary.json", indent=2, orient="records")
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if __name__ == "__main__":
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# check_rate_limit()
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asyncio.run(main())
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pyproject.toml
CHANGED
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@@ -5,6 +5,7 @@ description = "Add your description here"
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readme = "README.md"
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requires-python = ">=3.10"
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dependencies = [
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"evaluate>=0.4.3",
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"joblib>=1.4.2",
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"openai>=1.52.2",
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readme = "README.md"
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requires-python = ">=3.10"
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dependencies = [
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"aiolimiter>=1.1.0",
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"evaluate>=0.4.3",
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"joblib>=1.4.2",
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"openai>=1.52.2",
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results.json
CHANGED
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@@ -5,39 +5,47 @@
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"target_language": "isl_Latn",
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"target_language_name": "Icelandic",
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"speakers": 358000,
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"bleu": 61.
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},
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{
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"model": "
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"original_language": "eng_Latn",
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"target_language": "isl_Latn",
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"target_language_name": "Icelandic",
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"speakers": 358000,
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"bleu":
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},
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{
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"model": "
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"original_language": "eng_Latn",
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"target_language": "isl_Latn",
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"target_language_name": "Icelandic",
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"speakers": 358000,
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"bleu":
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},
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{
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-
"model": "
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"original_language": "eng_Latn",
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"target_language": "isl_Latn",
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"target_language_name": "Icelandic",
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"speakers": 358000,
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"bleu":
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},
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{
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"model": "
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"original_language": "eng_Latn",
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"target_language": "isl_Latn",
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"target_language_name": "Icelandic",
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"speakers": 358000,
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"bleu":
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},
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{
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"model": "openai/gpt-4o-mini",
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"target_language": "ind_Latn",
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"target_language_name": "Indonesian",
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"speakers": 198996550,
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"bleu":
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},
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{
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"model": "
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"original_language": "eng_Latn",
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"target_language": "ind_Latn",
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"target_language_name": "Indonesian",
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"speakers": 198996550,
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"bleu":
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},
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{
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"model": "
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"original_language": "eng_Latn",
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"target_language": "ind_Latn",
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"target_language_name": "Indonesian",
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"speakers": 198996550,
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"bleu":
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},
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{
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"model": "
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"original_language": "eng_Latn",
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"target_language": "ind_Latn",
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"target_language_name": "Indonesian",
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"speakers": 198996550,
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"bleu":
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},
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{
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"model": "
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"original_language": "eng_Latn",
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"target_language": "ind_Latn",
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"target_language_name": "Indonesian",
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"speakers": 198996550,
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-
"bleu":
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},
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{
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"model": "openai/gpt-4o-mini",
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"target_language": "pol_Latn",
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"target_language_name": "Polish",
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"speakers": 40200000,
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"bleu":
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},
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{
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"model": "
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"original_language": "eng_Latn",
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"target_language": "pol_Latn",
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"target_language_name": "Polish",
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"speakers": 40200000,
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-
"bleu":
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},
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{
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"model": "
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"original_language": "eng_Latn",
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"target_language": "pol_Latn",
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"target_language_name": "Polish",
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"speakers": 40200000,
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"bleu": 62.
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},
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{
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-
"model": "
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"original_language": "eng_Latn",
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"target_language": "pol_Latn",
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"target_language_name": "Polish",
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"speakers": 40200000,
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-
"bleu":
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},
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{
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"model": "
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"original_language": "eng_Latn",
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"target_language": "pol_Latn",
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"target_language_name": "Polish",
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"speakers": 40200000,
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-
"bleu":
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},
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{
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"model": "openai/gpt-4o-mini",
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"target_language": "kas_Deva",
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"target_language_name": "Kashmiri",
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"speakers": 6900000,
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-
"bleu": 22.
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},
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{
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-
"model": "
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"original_language": "eng_Latn",
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"target_language": "kas_Deva",
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"target_language_name": "Kashmiri",
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"speakers": 6900000,
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-
"bleu":
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},
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{
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-
"model": "
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"original_language": "eng_Latn",
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"target_language": "kas_Deva",
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"target_language_name": "Kashmiri",
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"speakers": 6900000,
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"bleu":
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},
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{
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-
"model": "
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"original_language": "eng_Latn",
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"target_language": "kas_Deva",
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"target_language_name": "Kashmiri",
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"speakers": 6900000,
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-
"bleu": 18.
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},
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{
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-
"model": "
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"original_language": "eng_Latn",
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"target_language": "kas_Deva",
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"target_language_name": "Kashmiri",
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"speakers": 6900000,
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-
"bleu":
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},
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{
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"model": "openai/gpt-4o-mini",
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@@ -165,39 +197,47 @@
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"target_language": "lin_Latn",
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"target_language_name": "Lingala",
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"speakers": 20000000,
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-
"bleu":
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},
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{
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-
"model": "
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"original_language": "eng_Latn",
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"target_language": "lin_Latn",
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"target_language_name": "Lingala",
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"speakers": 20000000,
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-
"bleu":
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},
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{
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-
"model": "
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"original_language": "eng_Latn",
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"target_language": "lin_Latn",
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"target_language_name": "Lingala",
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| 183 |
"speakers": 20000000,
|
| 184 |
-
"bleu":
|
| 185 |
},
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| 186 |
{
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-
"model": "
|
| 188 |
"original_language": "eng_Latn",
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"target_language": "lin_Latn",
|
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"target_language_name": "Lingala",
|
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"speakers": 20000000,
|
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"bleu":
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},
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{
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"model": "
|
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"original_language": "eng_Latn",
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"target_language": "lin_Latn",
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"target_language_name": "Lingala",
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"speakers": 20000000,
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| 201 |
},
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{
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| 203 |
"model": "openai/gpt-4o-mini",
|
|
@@ -205,39 +245,47 @@
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| 205 |
"target_language": "bjn_Latn",
|
| 206 |
"target_language_name": "Banjar",
|
| 207 |
"speakers": 3500000,
|
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-
"bleu": 50.
|
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},
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{
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-
"model": "
|
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"original_language": "eng_Latn",
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"target_language": "bjn_Latn",
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"target_language_name": "Banjar",
|
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"speakers": 3500000,
|
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"bleu":
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{
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"model": "
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"original_language": "eng_Latn",
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"target_language": "bjn_Latn",
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"target_language_name": "Banjar",
|
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"speakers": 3500000,
|
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"bleu":
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{
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"original_language": "eng_Latn",
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"target_language": "bjn_Latn",
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"target_language_name": "Banjar",
|
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"speakers": 3500000,
|
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"bleu":
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},
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{
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-
"model": "
|
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"original_language": "eng_Latn",
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"target_language": "bjn_Latn",
|
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"target_language_name": "Banjar",
|
| 239 |
"speakers": 3500000,
|
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-
"bleu":
|
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},
|
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{
|
| 243 |
"model": "openai/gpt-4o-mini",
|
|
@@ -245,39 +293,47 @@
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| 245 |
"target_language": "bho_Deva",
|
| 246 |
"target_language_name": "Bhojpuri",
|
| 247 |
"speakers": 52200000,
|
| 248 |
-
"bleu": 43.
|
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},
|
| 250 |
{
|
| 251 |
-
"model": "
|
| 252 |
"original_language": "eng_Latn",
|
| 253 |
"target_language": "bho_Deva",
|
| 254 |
"target_language_name": "Bhojpuri",
|
| 255 |
"speakers": 52200000,
|
| 256 |
-
"bleu":
|
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},
|
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{
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-
"model": "
|
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"original_language": "eng_Latn",
|
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"target_language": "bho_Deva",
|
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"target_language_name": "Bhojpuri",
|
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"speakers": 52200000,
|
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-
"bleu":
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},
|
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{
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-
"model": "
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"original_language": "eng_Latn",
|
| 269 |
"target_language": "bho_Deva",
|
| 270 |
"target_language_name": "Bhojpuri",
|
| 271 |
"speakers": 52200000,
|
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-
"bleu":
|
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},
|
| 274 |
{
|
| 275 |
-
"model": "
|
| 276 |
"original_language": "eng_Latn",
|
| 277 |
"target_language": "bho_Deva",
|
| 278 |
"target_language_name": "Bhojpuri",
|
| 279 |
"speakers": 52200000,
|
| 280 |
-
"bleu":
|
| 281 |
},
|
| 282 |
{
|
| 283 |
"model": "openai/gpt-4o-mini",
|
|
@@ -285,39 +341,47 @@
|
|
| 285 |
"target_language": "ces_Latn",
|
| 286 |
"target_language_name": "Czech",
|
| 287 |
"speakers": 10700000,
|
| 288 |
-
"bleu":
|
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},
|
| 290 |
{
|
| 291 |
-
"model": "
|
| 292 |
"original_language": "eng_Latn",
|
| 293 |
"target_language": "ces_Latn",
|
| 294 |
"target_language_name": "Czech",
|
| 295 |
"speakers": 10700000,
|
| 296 |
-
"bleu": 69.
|
| 297 |
},
|
| 298 |
{
|
| 299 |
-
"model": "
|
| 300 |
"original_language": "eng_Latn",
|
| 301 |
"target_language": "ces_Latn",
|
| 302 |
"target_language_name": "Czech",
|
| 303 |
"speakers": 10700000,
|
| 304 |
-
"bleu":
|
| 305 |
},
|
| 306 |
{
|
| 307 |
-
"model": "
|
| 308 |
"original_language": "eng_Latn",
|
| 309 |
"target_language": "ces_Latn",
|
| 310 |
"target_language_name": "Czech",
|
| 311 |
"speakers": 10700000,
|
| 312 |
-
"bleu":
|
| 313 |
},
|
| 314 |
{
|
| 315 |
-
"model": "
|
| 316 |
"original_language": "eng_Latn",
|
| 317 |
"target_language": "ces_Latn",
|
| 318 |
"target_language_name": "Czech",
|
| 319 |
"speakers": 10700000,
|
| 320 |
-
"bleu":
|
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| 321 |
},
|
| 322 |
{
|
| 323 |
"model": "openai/gpt-4o-mini",
|
|
@@ -325,38 +389,382 @@
|
|
| 325 |
"target_language": "sag_Latn",
|
| 326 |
"target_language_name": "Sango",
|
| 327 |
"speakers": 4600000,
|
| 328 |
-
"bleu":
|
| 329 |
},
|
| 330 |
{
|
| 331 |
-
"model": "
|
| 332 |
"original_language": "eng_Latn",
|
| 333 |
"target_language": "sag_Latn",
|
| 334 |
"target_language_name": "Sango",
|
| 335 |
"speakers": 4600000,
|
| 336 |
-
"bleu":
|
| 337 |
},
|
| 338 |
{
|
| 339 |
-
"model": "
|
| 340 |
"original_language": "eng_Latn",
|
| 341 |
"target_language": "sag_Latn",
|
| 342 |
"target_language_name": "Sango",
|
| 343 |
"speakers": 4600000,
|
| 344 |
-
"bleu":
|
| 345 |
},
|
| 346 |
{
|
| 347 |
-
"model": "
|
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| 348 |
"original_language": "eng_Latn",
|
| 349 |
"target_language": "sag_Latn",
|
| 350 |
"target_language_name": "Sango",
|
| 351 |
"speakers": 4600000,
|
| 352 |
-
"bleu":
|
| 353 |
},
|
| 354 |
{
|
| 355 |
-
"model": "
|
| 356 |
"original_language": "eng_Latn",
|
| 357 |
"target_language": "sag_Latn",
|
| 358 |
"target_language_name": "Sango",
|
| 359 |
"speakers": 4600000,
|
| 360 |
-
"bleu":
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| 361 |
}
|
| 362 |
]
|
|
|
|
| 5 |
"target_language": "isl_Latn",
|
| 6 |
"target_language_name": "Icelandic",
|
| 7 |
"speakers": 358000,
|
| 8 |
+
"bleu": 61.11721529849627
|
| 9 |
},
|
| 10 |
{
|
| 11 |
+
"model": "anthropic/claude-3.5-sonnet",
|
| 12 |
"original_language": "eng_Latn",
|
| 13 |
"target_language": "isl_Latn",
|
| 14 |
"target_language_name": "Icelandic",
|
| 15 |
"speakers": 358000,
|
| 16 |
+
"bleu": 66.81187855948907
|
| 17 |
},
|
| 18 |
{
|
| 19 |
+
"model": "meta-llama/llama-3.1-70b-instruct",
|
| 20 |
"original_language": "eng_Latn",
|
| 21 |
"target_language": "isl_Latn",
|
| 22 |
"target_language_name": "Icelandic",
|
| 23 |
"speakers": 358000,
|
| 24 |
+
"bleu": 58.83900250147204
|
| 25 |
},
|
| 26 |
{
|
| 27 |
+
"model": "mistralai/mistral-nemo",
|
| 28 |
+
"original_language": "eng_Latn",
|
| 29 |
+
"target_language": "isl_Latn",
|
| 30 |
+
"target_language_name": "Icelandic",
|
| 31 |
+
"speakers": 358000,
|
| 32 |
+
"bleu": 46.527810964691184
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"model": "google/gemini-flash-1.5",
|
| 36 |
"original_language": "eng_Latn",
|
| 37 |
"target_language": "isl_Latn",
|
| 38 |
"target_language_name": "Icelandic",
|
| 39 |
"speakers": 358000,
|
| 40 |
+
"bleu": 59.44313738508877
|
| 41 |
},
|
| 42 |
{
|
| 43 |
+
"model": "qwen/qwen-2.5-72b-instruct",
|
| 44 |
"original_language": "eng_Latn",
|
| 45 |
"target_language": "isl_Latn",
|
| 46 |
"target_language_name": "Icelandic",
|
| 47 |
"speakers": 358000,
|
| 48 |
+
"bleu": 43.301355850733806
|
| 49 |
},
|
| 50 |
{
|
| 51 |
"model": "openai/gpt-4o-mini",
|
|
|
|
| 53 |
"target_language": "ind_Latn",
|
| 54 |
"target_language_name": "Indonesian",
|
| 55 |
"speakers": 198996550,
|
| 56 |
+
"bleu": 76.72985943936231
|
| 57 |
},
|
| 58 |
{
|
| 59 |
+
"model": "anthropic/claude-3.5-sonnet",
|
| 60 |
"original_language": "eng_Latn",
|
| 61 |
"target_language": "ind_Latn",
|
| 62 |
"target_language_name": "Indonesian",
|
| 63 |
"speakers": 198996550,
|
| 64 |
+
"bleu": 75.27574767220828
|
| 65 |
},
|
| 66 |
{
|
| 67 |
+
"model": "meta-llama/llama-3.1-70b-instruct",
|
| 68 |
"original_language": "eng_Latn",
|
| 69 |
"target_language": "ind_Latn",
|
| 70 |
"target_language_name": "Indonesian",
|
| 71 |
"speakers": 198996550,
|
| 72 |
+
"bleu": 74.67140101059968
|
| 73 |
},
|
| 74 |
{
|
| 75 |
+
"model": "mistralai/mistral-nemo",
|
| 76 |
"original_language": "eng_Latn",
|
| 77 |
"target_language": "ind_Latn",
|
| 78 |
"target_language_name": "Indonesian",
|
| 79 |
"speakers": 198996550,
|
| 80 |
+
"bleu": 66.83496111463917
|
| 81 |
},
|
| 82 |
{
|
| 83 |
+
"model": "google/gemini-flash-1.5",
|
| 84 |
"original_language": "eng_Latn",
|
| 85 |
"target_language": "ind_Latn",
|
| 86 |
"target_language_name": "Indonesian",
|
| 87 |
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| 760 |
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| 764 |
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|
| 765 |
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| 768 |
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| 769 |
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| 770 |
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|
results_summary.json
CHANGED
|
@@ -1,47 +1,77 @@
|
|
| 1 |
[
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
{
|
| 3 |
"target_language_name":"Banjar",
|
| 4 |
-
"bleu":
|
| 5 |
"speakers":3500000.0
|
| 6 |
},
|
| 7 |
{
|
| 8 |
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|
| 9 |
-
"bleu":
|
| 10 |
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|
| 11 |
},
|
| 12 |
{
|
| 13 |
"target_language_name":"Czech",
|
| 14 |
-
"bleu":
|
| 15 |
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|
| 16 |
},
|
| 17 |
{
|
| 18 |
"target_language_name":"Icelandic",
|
| 19 |
-
"bleu":
|
| 20 |
"speakers":358000.0
|
| 21 |
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|
| 22 |
{
|
| 23 |
"target_language_name":"Indonesian",
|
| 24 |
-
"bleu":
|
| 25 |
"speakers":198996550.0
|
| 26 |
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|
| 27 |
{
|
| 28 |
"target_language_name":"Kashmiri",
|
| 29 |
-
"bleu":
|
| 30 |
"speakers":6900000.0
|
| 31 |
},
|
| 32 |
{
|
| 33 |
"target_language_name":"Lingala",
|
| 34 |
-
"bleu":
|
| 35 |
"speakers":20000000.0
|
| 36 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 37 |
{
|
| 38 |
"target_language_name":"Polish",
|
| 39 |
-
"bleu":
|
| 40 |
"speakers":40200000.0
|
| 41 |
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|
| 42 |
{
|
| 43 |
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|
| 44 |
-
"bleu":
|
| 45 |
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 46 |
}
|
| 47 |
]
|
|
|
|
| 1 |
[
|
| 2 |
+
{
|
| 3 |
+
"target_language_name":" Ayacucho Quechua",
|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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{
|
| 8 |
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|
| 9 |
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|
| 10 |
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"speakers":105000000.0
|
| 11 |
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},
|
| 12 |
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{
|
| 13 |
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"target_language_name":" Tosk Albanian",
|
| 14 |
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|
| 15 |
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"speakers":3000000.0
|
| 16 |
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},
|
| 17 |
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{
|
| 18 |
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|
| 19 |
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|
| 20 |
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"speakers":4000000.0
|
| 21 |
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},
|
| 22 |
{
|
| 23 |
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|
| 24 |
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"bleu":51.5227181365,
|
| 25 |
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|
| 26 |
},
|
| 27 |
{
|
| 28 |
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|
| 29 |
+
"bleu":39.273082579,
|
| 30 |
"speakers":52200000.0
|
| 31 |
},
|
| 32 |
{
|
| 33 |
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|
| 34 |
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"bleu":66.754874801,
|
| 35 |
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|
| 36 |
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|
| 37 |
{
|
| 38 |
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|
| 39 |
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"bleu":56.0067334267,
|
| 40 |
"speakers":358000.0
|
| 41 |
},
|
| 42 |
{
|
| 43 |
"target_language_name":"Indonesian",
|
| 44 |
+
"bleu":73.5262667867,
|
| 45 |
"speakers":198996550.0
|
| 46 |
},
|
| 47 |
{
|
| 48 |
"target_language_name":"Kashmiri",
|
| 49 |
+
"bleu":21.7518148776,
|
| 50 |
"speakers":6900000.0
|
| 51 |
},
|
| 52 |
{
|
| 53 |
"target_language_name":"Lingala",
|
| 54 |
+
"bleu":33.4938226708,
|
| 55 |
"speakers":20000000.0
|
| 56 |
},
|
| 57 |
+
{
|
| 58 |
+
"target_language_name":"Nuer",
|
| 59 |
+
"bleu":5.2909507789,
|
| 60 |
+
"speakers":900000.0
|
| 61 |
+
},
|
| 62 |
{
|
| 63 |
"target_language_name":"Polish",
|
| 64 |
+
"bleu":63.1176806825,
|
| 65 |
"speakers":40200000.0
|
| 66 |
},
|
| 67 |
{
|
| 68 |
"target_language_name":"Sango",
|
| 69 |
+
"bleu":19.6608440732,
|
| 70 |
"speakers":4600000.0
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"target_language_name":"Serbian",
|
| 74 |
+
"bleu":64.8198504575,
|
| 75 |
+
"speakers":9000000.0
|
| 76 |
}
|
| 77 |
]
|
uv.lock
CHANGED
|
@@ -93,6 +93,15 @@ wheels = [
|
|
| 93 |
{ url = "https://files.pythonhosted.org/packages/ae/63/3e1aee3e554263f3f1011cca50d78a4894ae16ce99bf78101ac3a2f0ef74/aiohttp-3.10.10-cp313-cp313-win_amd64.whl", hash = "sha256:486f7aabfa292719a2753c016cc3a8f8172965cabb3ea2e7f7436c7f5a22a151", size = 376785 },
|
| 94 |
]
|
| 95 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 96 |
[[package]]
|
| 97 |
name = "aiosignal"
|
| 98 |
version = "1.3.1"
|
|
@@ -535,6 +544,7 @@ name = "languagebench"
|
|
| 535 |
version = "0.1.0"
|
| 536 |
source = { virtual = "." }
|
| 537 |
dependencies = [
|
|
|
|
| 538 |
{ name = "evaluate" },
|
| 539 |
{ name = "joblib" },
|
| 540 |
{ name = "openai" },
|
|
@@ -546,6 +556,7 @@ dependencies = [
|
|
| 546 |
|
| 547 |
[package.metadata]
|
| 548 |
requires-dist = [
|
|
|
|
| 549 |
{ name = "evaluate", specifier = ">=0.4.3" },
|
| 550 |
{ name = "joblib", specifier = ">=1.4.2" },
|
| 551 |
{ name = "openai", specifier = ">=1.52.2" },
|
|
|
|
| 93 |
{ url = "https://files.pythonhosted.org/packages/ae/63/3e1aee3e554263f3f1011cca50d78a4894ae16ce99bf78101ac3a2f0ef74/aiohttp-3.10.10-cp313-cp313-win_amd64.whl", hash = "sha256:486f7aabfa292719a2753c016cc3a8f8172965cabb3ea2e7f7436c7f5a22a151", size = 376785 },
|
| 94 |
]
|
| 95 |
|
| 96 |
+
[[package]]
|
| 97 |
+
name = "aiolimiter"
|
| 98 |
+
version = "1.1.0"
|
| 99 |
+
source = { registry = "https://pypi.org/simple" }
|
| 100 |
+
sdist = { url = "https://files.pythonhosted.org/packages/df/62/6de944a6839a68f7d69e552e26d12234d9c556472e4c277a3a563013640a/aiolimiter-1.1.0.tar.gz", hash = "sha256:461cf02f82a29347340d031626c92853645c099cb5ff85577b831a7bd21132b5", size = 6229 }
|
| 101 |
+
wheels = [
|
| 102 |
+
{ url = "https://files.pythonhosted.org/packages/60/69/4b7dea755fafa10b248928da836a2cc8b5cff0762f363234e24218040f8e/aiolimiter-1.1.0-py3-none-any.whl", hash = "sha256:0b4997961fc58b8df40279e739f9cf0d3e255e63e9a44f64df567a8c17241e24", size = 7212 },
|
| 103 |
+
]
|
| 104 |
+
|
| 105 |
[[package]]
|
| 106 |
name = "aiosignal"
|
| 107 |
version = "1.3.1"
|
|
|
|
| 544 |
version = "0.1.0"
|
| 545 |
source = { virtual = "." }
|
| 546 |
dependencies = [
|
| 547 |
+
{ name = "aiolimiter" },
|
| 548 |
{ name = "evaluate" },
|
| 549 |
{ name = "joblib" },
|
| 550 |
{ name = "openai" },
|
|
|
|
| 556 |
|
| 557 |
[package.metadata]
|
| 558 |
requires-dist = [
|
| 559 |
+
{ name = "aiolimiter", specifier = ">=1.1.0" },
|
| 560 |
{ name = "evaluate", specifier = ">=0.4.3" },
|
| 561 |
{ name = "joblib", specifier = ">=1.4.2" },
|
| 562 |
{ name = "openai", specifier = ">=1.52.2" },
|