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https://github.com/khoaliber/khoj.git
synced 2026-03-02 13:18:18 +00:00
Show correct example index being currently processed in frames eval
Previously the batch start index wasn't being passed so all batches started in parallel were showing the same processing example index This change doesn't impact the evaluation itself, just the index shown of the example currently being evaluated
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@@ -101,10 +101,10 @@ def evaluate_response(query: str, agent_response: str, ground_truth: str) -> Dic
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return {"decision": "FALSE", "explanation": f"Evaluation failed: {str(e)}"}
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def process_batch(batch, counter, results, dataset_length):
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for prompt, answer, reasoning_type in batch:
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counter += 1
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logger.info(f"Processing example: {counter}/{dataset_length}")
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def process_batch(batch, batch_start, results, dataset_length):
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for idx, (prompt, answer, reasoning_type) in enumerate(batch):
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current_index = batch_start + idx
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logger.info(f"Processing example: {current_index}/{dataset_length}")
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# Trigger research mode if enabled
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prompt = f"/{KHOJ_MODE} {prompt}" if KHOJ_MODE else prompt
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@@ -122,7 +122,7 @@ def process_batch(batch, counter, results, dataset_length):
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# Store results
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results.append(
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{
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"index": counter,
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"index": current_index,
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"prompt": prompt,
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"ground_truth": answer,
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"agent_response": agent_response,
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@@ -169,12 +169,13 @@ def main():
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with concurrent.futures.ThreadPoolExecutor() as executor:
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futures = []
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for i in range(0, dataset_length, BATCH_SIZE):
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batch_start = i
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batch = zip(
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dataset["Prompt"][i : i + BATCH_SIZE],
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dataset["Answer"][i : i + BATCH_SIZE],
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dataset["reasoning_types"][i : i + BATCH_SIZE],
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)
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futures.append(executor.submit(process_batch, batch, counter, results, dataset_length))
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futures.append(executor.submit(process_batch, batch, batch_start, results, dataset_length))
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# Wait for all futures to complete
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concurrent.futures.wait(futures)
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