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q11/random_k2/question.json

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q11/random_k4/question.json

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q16/random_k2/question.json

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q16/random_k4/question.json

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q18/random_k2/question.json

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q18/random_k4/question.json

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q20/random_k2/question.json

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q20/random_k4/question.json

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q203/control_k0/question.json

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q203/hard_negative_k2/question.json

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q203/hard_negative_k4/question.json

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 }

q203/random_k2/question.json

@@ -1,24 +1,24 @@
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-  "answer": "253.3",
+  "doc_id": "COSTCO_2021_10K.pdf",
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q203/random_k4/question.json

@@ -1,28 +1,28 @@
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-    "web_830d0aa2115caf34.pdf",
-    "web_54b7670fb9d9c193.pdf"
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q204/control_k0/question.json

@@ -1,25 +1,25 @@
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-    "NETFLIX_2015_10K.pdf"
+    "COSTCO_2021_10K.pdf"
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q204/hard_negative_k2/question.json

@@ -1,24 +1,24 @@
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-  "answer": "714.3",
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@@ -26,8 +26,8 @@
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q204/hard_negative_k4/question.json

@@ -1,28 +1,28 @@
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-  "question": "what is advertsing expense of Neflix in FY 2015? Answer in millions",
-  "answer": "714.3",
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q204/random_k2/question.json

@@ -1,24 +1,24 @@
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-  "question": "what is advertsing expense of Neflix in FY 2015? Answer in millions",
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@@ -26,8 +26,8 @@
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-    "NETFLIX_2015_10K.pdf",
-    "web_f7c8a4fb24ac7362.pdf",
-    "web_bf09a64e7d517c98.pdf"
+    "COSTCO_2021_10K.pdf",
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 }

q204/random_k4/question.json

@@ -1,28 +1,28 @@
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-  "doc_id": "NETFLIX_2015_10K.pdf",
-  "question": "what is advertsing expense of Neflix in FY 2015? Answer in millions",
-  "answer": "714.3",
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-    "web_54b7670fb9d9c193.pdf"
+    "COSTCO_2021_10K.pdf",
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q235/control_k0/question.json

@@ -1,25 +1,25 @@
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+  "doc_id": "NIKE_2021_10K.pdf",
+  "question": "What is quick ratio cycle in FY2021 for Nike? Round your answer to two decimal places.\n\n",
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-    "AMAZON_2017_10K.pdf"
+    "NIKE_2021_10K.pdf"
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q235/hard_negative_k2/question.json

@@ -1,24 +1,24 @@
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-  "question": "what is the total amount of  expected future amortization expense of acquired intangible assets as of December 31, 2017 for Amazon? Answer in million",
-  "answer": "3362",
+  "doc_id": "NIKE_2021_10K.pdf",
+  "question": "What is quick ratio cycle in FY2021 for Nike? Round your answer to two decimal places.\n\n",
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q235/hard_negative_k4/question.json

@@ -1,28 +1,28 @@
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q235/random_k2/question.json

@@ -1,24 +1,24 @@
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q235/random_k4/question.json

@@ -1,28 +1,28 @@
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q250/control_k0/question.json

@@ -1,25 +1,25 @@
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q250/hard_negative_k2/question.json

@@ -1,24 +1,24 @@
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q250/hard_negative_k4/question.json

@@ -1,28 +1,28 @@
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q250/random_k2/question.json

@@ -1,24 +1,24 @@
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q250/random_k4/question.json

@@ -1,28 +1,28 @@
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q256/control_k0/question.json

@@ -1,25 +1,25 @@
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-    "BESTBUY_2023_10K.pdf"
+    "ADOBE_2015_10K.pdf"
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 }

q256/hard_negative_k2/question.json

@@ -1,24 +1,24 @@
 {
   "cell_id": "q256_hard_negative_k2",
-  "doc_id": "BESTBUY_2023_10K.pdf",
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-  "answer": "20.7%",
-  "answer_format": "Float",
+  "doc_id": "ADOBE_2015_10K.pdf",
+  "question": "what channel  is the majority of ADBE product sold by in FY2015?",
+  "answer": "a software subscription model",
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-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_839cc267cf5fcc63.pdf"
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/ADOBE_2015_10K.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_2ccba6013fe960b7.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_b533f3446f851e5d.pdf"
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-    "BESTBUY_2023_10K.pdf",
-    "web_88be333a901981bb.pdf",
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@@ -26,8 +26,8 @@
     "hn_2.pdf"
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-    "BESTBUY_2023_10K.pdf",
-    "web_88be333a901981bb.pdf",
-    "web_839cc267cf5fcc63.pdf"
+    "ADOBE_2015_10K.pdf",
+    "web_2ccba6013fe960b7.pdf",
+    "web_b533f3446f851e5d.pdf"
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 }

q256/hard_negative_k4/question.json

@@ -1,28 +1,28 @@
 {
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-  "answer_format": "Float",
+  "doc_id": "ADOBE_2015_10K.pdf",
+  "question": "what channel  is the majority of ADBE product sold by in FY2015?",
+  "answer": "a software subscription model",
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-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_2515983a9bc9da81.pdf"
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/ADOBE_2015_10K.pdf",
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-    "web_839cc267cf5fcc63.pdf",
-    "web_a01c3cada5892b96.pdf",
-    "web_2515983a9bc9da81.pdf"
+    "ADOBE_2015_10K.pdf",
+    "web_2ccba6013fe960b7.pdf",
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@@ -32,10 +32,10 @@
     "hn_4.pdf"
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+    "web_49953e93449282aa.pdf",
+    "web_82328a4273fef79b.pdf"
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 }

q256/random_k2/question.json

@@ -1,24 +1,24 @@
 {
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-  "question": "What is effective tax ratio of Best Buy for for the fiscal year ending January 28, 2023?Answer in percentage term, round to one decimal places.",
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-  "answer_format": "Float",
+  "doc_id": "ADOBE_2015_10K.pdf",
+  "question": "what channel  is the majority of ADBE product sold by in FY2015?",
+  "answer": "a software subscription model",
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-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_a6ca467524d951c6.pdf"
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/ADOBE_2015_10K.pdf",
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-    "web_0e04ded35ac1bdc2.pdf",
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+    "ADOBE_2015_10K.pdf",
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@@ -26,8 +26,8 @@
     "random_2.pdf"
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-    "BESTBUY_2023_10K.pdf",
-    "web_0e04ded35ac1bdc2.pdf",
-    "web_a6ca467524d951c6.pdf"
+    "ADOBE_2015_10K.pdf",
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+    "web_e1c54bfb8b64fa3e.pdf"
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 }

q256/random_k4/question.json

@@ -1,28 +1,28 @@
 {
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-  "doc_id": "BESTBUY_2023_10K.pdf",
-  "question": "What is effective tax ratio of Best Buy for for the fiscal year ending January 28, 2023?Answer in percentage term, round to one decimal places.",
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-  "answer_format": "Float",
+  "doc_id": "ADOBE_2015_10K.pdf",
+  "question": "what channel  is the majority of ADBE product sold by in FY2015?",
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-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_55eb3e1bfd6dcec7.pdf"
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/ADOBE_2015_10K.pdf",
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-    "web_2f9dfa8a6ca32296.pdf",
-    "web_55eb3e1bfd6dcec7.pdf"
+    "ADOBE_2015_10K.pdf",
+    "0a89b981c2736e87bac48a090e1a3e60dd8a4e0f.pdf",
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@@ -32,10 +32,10 @@
     "random_4.pdf"
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+    "web_9c7f968fcc2ae28a.pdf",
+    "web_db15f36044519c81.pdf"
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 }

q268/control_k0/question.json

@@ -0,0 +1,25 @@
+{
+  "cell_id": "q268_control_k0",
+  "doc_id": "BESTBUY_2023_10K.pdf",
+  "question": "how many Domestic store does Best Buy have in fiscal 2023?",
+  "answer": "978",
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+    "BESTBUY_2023_10K.pdf"
+  ]
+}

q268/hard_negative_k2/question.json

@@ -0,0 +1,33 @@
+{
+  "cell_id": "q268_hard_negative_k2",
+  "doc_id": "BESTBUY_2023_10K.pdf",
+  "question": "how many Domestic store does Best Buy have in fiscal 2023?",
+  "answer": "978",
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+    "BESTBUY_2023_10K.pdf",
+    "web_88be333a901981bb.pdf",
+    "web_839cc267cf5fcc63.pdf"
+  ]
+}

q268/hard_negative_k4/question.json

@@ -0,0 +1,41 @@
+{
+  "cell_id": "q268_hard_negative_k4",
+  "doc_id": "BESTBUY_2023_10K.pdf",
+  "question": "how many Domestic store does Best Buy have in fiscal 2023?",
+  "answer": "978",
+  "answer_format": "Int",
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+    "web_a01c3cada5892b96.pdf",
+    "web_2515983a9bc9da81.pdf"
+  ]
+}

q268/random_k2/question.json

@@ -0,0 +1,33 @@
+{
+  "cell_id": "q268_random_k2",
+  "doc_id": "BESTBUY_2023_10K.pdf",
+  "question": "how many Domestic store does Best Buy have in fiscal 2023?",
+  "answer": "978",
+  "answer_format": "Int",
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+  "k": 2,
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+  "pdf_paths": [
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/BESTBUY_2023_10K.pdf",
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+    "BESTBUY_2023_10K.pdf",
+    "web_459cb41b80747aec.pdf",
+    "eb30c70c153e1dbc5a0ea9bd5a306750a2b4ebf7.pdf"
+  ]
+}

q268/random_k4/question.json

@@ -0,0 +1,41 @@
+{
+  "cell_id": "q268_random_k4",
+  "doc_id": "BESTBUY_2023_10K.pdf",
+  "question": "how many Domestic store does Best Buy have in fiscal 2023?",
+  "answer": "978",
+  "answer_format": "Int",
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+    "BESTBUY_2023_10K.pdf",
+    "web_459cb41b80747aec.pdf",
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+    "web_715e6cf2d4ba3d94.pdf",
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+}

q29/random_k2/question.json

@@ -9,17 +9,17 @@
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@@ -27,7 +27,7 @@
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+    "a6541e27274e536e95486c83cdc8969a17227125.pdf",
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 }

q29/random_k4/question.json

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q3/random_k4/question.json

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q4/random_k2/question.json

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q4/random_k4/question.json

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q43/hard_negative_k4/question.json

@@ -1,28 +1,28 @@
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q45/control_k0/question.json

@@ -1,25 +1,25 @@
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q45/hard_negative_k2/question.json

@@ -1,24 +1,24 @@
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q45/hard_negative_k4/question.json

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q45/random_k2/question.json

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+  "est_tokens": 45900,
   "expected_route": "openrouter",
   "bundle_filenames": [
     "source.pdf",
@@ -26,8 +26,8 @@
     "random_2.pdf"
   ],
   "original_filenames": [
-    "finalmediafindingspdf-141228031149-conversion-gate02_95.pdf",
-    "web_e9f399fea7556d59.pdf",
-    "web_8198931726741d61.pdf"
+    "avalaunchpresentationsthatkickasteriskv3copy-150318114804-conversion-gate01_95.pdf",
+    "web_72a76e216577393a.pdf",
+    "web_3ee12c98981a617a.pdf"
   ]
 }

q45/random_k4/question.json

@@ -1,28 +1,28 @@
 {
   "cell_id": "q45_random_k4",
-  "doc_id": "finalmediafindingspdf-141228031149-conversion-gate02_95.pdf",
-  "question": "How many fieldwork personnel in all for Wave I and Wave II?",
-  "answer": "102",
-  "answer_format": "Int",
+  "doc_id": "avalaunchpresentationsthatkickasteriskv3copy-150318114804-conversion-gate01_95.pdf",
+  "question": "According to the presentation, what are three bad fonts?",
+  "answer": "['Times New Roman', 'Arial', 'Comic Sans']",
+  "answer_format": "List",
   "condition": "random",
   "k": 4,
   "source_position": "first",
   "pdf_paths": [
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/finalmediafindingspdf-141228031149-conversion-gate02_95.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_e9f399fea7556d59.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_8198931726741d61.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_eff43bab789f7c21.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_19b03cfaf44f6244.pdf"
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/avalaunchpresentationsthatkickasteriskv3copy-150318114804-conversion-gate01_95.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_72a76e216577393a.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_3ee12c98981a617a.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/5fdcf120b846746985684fa54250aab44639b30c.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_8330bd2eabffb7f3.pdf"
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-    "web_e9f399fea7556d59.pdf",
-    "web_8198931726741d61.pdf",
-    "web_eff43bab789f7c21.pdf",
-    "web_19b03cfaf44f6244.pdf"
+    "avalaunchpresentationsthatkickasteriskv3copy-150318114804-conversion-gate01_95.pdf",
+    "web_72a76e216577393a.pdf",
+    "web_3ee12c98981a617a.pdf",
+    "5fdcf120b846746985684fa54250aab44639b30c.pdf",
+    "web_8330bd2eabffb7f3.pdf"
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+  "n_pages": 83,
+  "est_tokens": 74700,
   "expected_route": "openrouter",
   "bundle_filenames": [
     "source.pdf",
@@ -32,10 +32,10 @@
     "random_4.pdf"
   ],
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-    "finalmediafindingspdf-141228031149-conversion-gate02_95.pdf",
-    "web_e9f399fea7556d59.pdf",
-    "web_8198931726741d61.pdf",
-    "web_eff43bab789f7c21.pdf",
-    "web_19b03cfaf44f6244.pdf"
+    "avalaunchpresentationsthatkickasteriskv3copy-150318114804-conversion-gate01_95.pdf",
+    "web_72a76e216577393a.pdf",
+    "web_3ee12c98981a617a.pdf",
+    "5fdcf120b846746985684fa54250aab44639b30c.pdf",
+    "web_8330bd2eabffb7f3.pdf"
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 }

q5/random_k2/question.json

@@ -9,16 +9,16 @@
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   "pdf_paths": [
     "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/0e94b4197b10096b1f4c699701570fbf.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_b0e968208d33ea2d.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ebb5e31663fc625e.pdf"
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_807d71267666ed53.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_18ad4e3a7a62558b.pdf"
   ],
   "pdf_names": [
     "0e94b4197b10096b1f4c699701570fbf.pdf",
-    "web_b0e968208d33ea2d.pdf",
-    "web_ebb5e31663fc625e.pdf"
+    "web_807d71267666ed53.pdf",
+    "web_18ad4e3a7a62558b.pdf"
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-  "n_pages": 90,
-  "est_tokens": 81000,
+  "n_pages": 56,
+  "est_tokens": 50400,
   "expected_route": "openrouter",
   "bundle_filenames": [
     "source.pdf",
@@ -27,7 +27,7 @@
   ],
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-    "web_b0e968208d33ea2d.pdf",
-    "web_ebb5e31663fc625e.pdf"
+    "web_807d71267666ed53.pdf",
+    "web_18ad4e3a7a62558b.pdf"
   ]
 }