Add files using upload-large-folder tool

q100/control_k0/question.json

@@ -1,25 +1,25 @@
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-  "question": "How many website URLs are contained in the slides?",
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-  "answer_format": "Int",
+  "doc_id": "StudentSupport_Guidebook.pdf",
+  "question": "According to the PDF source, what is the telephone number of Prime Taxi?",
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-    "competitiveoutcomes-091006065143-phpapp01_95.pdf"
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 }

q100/hard_negative_k2/question.json

@@ -1,24 +1,24 @@
 {
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-  "question": "How many website URLs are contained in the slides?",
-  "answer": "3",
-  "answer_format": "Int",
+  "doc_id": "StudentSupport_Guidebook.pdf",
+  "question": "According to the PDF source, what is the telephone number of Prime Taxi?",
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q100/hard_negative_k4/question.json

@@ -1,28 +1,28 @@
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-  "question": "How many website URLs are contained in the slides?",
-  "answer": "3",
-  "answer_format": "Int",
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@@ -32,10 +32,10 @@
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q100/random_k2/question.json

@@ -1,24 +1,24 @@
 {
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-  "question": "How many website URLs are contained in the slides?",
-  "answer": "3",
-  "answer_format": "Int",
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+  "question": "According to the PDF source, what is the telephone number of Prime Taxi?",
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@@ -26,8 +26,8 @@
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q100/random_k4/question.json

@@ -1,28 +1,28 @@
 {
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-  "question": "How many website URLs are contained in the slides?",
-  "answer": "3",
-  "answer_format": "Int",
+  "doc_id": "StudentSupport_Guidebook.pdf",
+  "question": "According to the PDF source, what is the telephone number of Prime Taxi?",
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q101/control_k0/question.json

@@ -1,25 +1,25 @@
 {
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-  "question": "For the dataset that uses Prover9 as the symbolic solver, how many examples in this dataset are used for evaluation?",
-  "answer": "204",
+  "doc_id": "StudentSupport_Guidebook.pdf",
+  "question": "According to the document, how many SG University Holidays from 15 May 2016 to 15 Jan 2017?",
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 }

q101/hard_negative_k2/question.json

@@ -1,24 +1,24 @@
 {
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-  "doc_id": "2023.findings-emnlp.248.pdf",
-  "question": "For the dataset that uses Prover9 as the symbolic solver, how many examples in this dataset are used for evaluation?",
-  "answer": "204",
+  "doc_id": "StudentSupport_Guidebook.pdf",
+  "question": "According to the document, how many SG University Holidays from 15 May 2016 to 15 Jan 2017?",
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q101/hard_negative_k4/question.json

@@ -1,28 +1,28 @@
 {
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-  "question": "For the dataset that uses Prover9 as the symbolic solver, how many examples in this dataset are used for evaluation?",
-  "answer": "204",
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+  "question": "According to the document, how many SG University Holidays from 15 May 2016 to 15 Jan 2017?",
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q101/random_k2/question.json

@@ -1,33 +1,33 @@
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-  "question": "For the dataset that uses Prover9 as the symbolic solver, how many examples in this dataset are used for evaluation?",
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-    "a06a34d02fd632c9dc8c629a681d463f3a5bdcb5.pdf",
-    "web_e85946d6c20e2417.pdf"
+    "StudentSupport_Guidebook.pdf",
+    "web_6bb860a08864dd7a.pdf",
+    "web_4ae8d7cc08fa2f24.pdf"
   ]
 }

q101/random_k4/question.json

@@ -1,28 +1,28 @@
 {
   "cell_id": "q101_random_k4",
-  "doc_id": "2023.findings-emnlp.248.pdf",
-  "question": "For the dataset that uses Prover9 as the symbolic solver, how many examples in this dataset are used for evaluation?",
-  "answer": "204",
+  "doc_id": "StudentSupport_Guidebook.pdf",
+  "question": "According to the document, how many SG University Holidays from 15 May 2016 to 15 Jan 2017?",
+  "answer": "5",
   "answer_format": "Int",
   "condition": "random",
   "k": 4,
   "source_position": "first",
   "pdf_paths": [
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2023.findings-emnlp.248.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/a06a34d02fd632c9dc8c629a681d463f3a5bdcb5.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_e85946d6c20e2417.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5ba1faa4f8b60c76.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_c916dc9b2089aeec.pdf"
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/StudentSupport_Guidebook.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6bb860a08864dd7a.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_4ae8d7cc08fa2f24.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/arxiv_2405_20834.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ff408b2c8a1714b8.pdf"
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-    "a06a34d02fd632c9dc8c629a681d463f3a5bdcb5.pdf",
-    "web_e85946d6c20e2417.pdf",
-    "web_5ba1faa4f8b60c76.pdf",
-    "web_c916dc9b2089aeec.pdf"
+    "StudentSupport_Guidebook.pdf",
+    "web_6bb860a08864dd7a.pdf",
+    "web_4ae8d7cc08fa2f24.pdf",
+    "arxiv_2405_20834.pdf",
+    "web_ff408b2c8a1714b8.pdf"
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+  "est_tokens": 103500,
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@@ -32,10 +32,10 @@
     "random_4.pdf"
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-    "2023.findings-emnlp.248.pdf",
-    "a06a34d02fd632c9dc8c629a681d463f3a5bdcb5.pdf",
-    "web_e85946d6c20e2417.pdf",
-    "web_5ba1faa4f8b60c76.pdf",
-    "web_c916dc9b2089aeec.pdf"
+    "StudentSupport_Guidebook.pdf",
+    "web_6bb860a08864dd7a.pdf",
+    "web_4ae8d7cc08fa2f24.pdf",
+    "arxiv_2405_20834.pdf",
+    "web_ff408b2c8a1714b8.pdf"
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 }

q106/control_k0/question.json

@@ -1,25 +1,25 @@
 {
   "cell_id": "q106_control_k0",
-  "doc_id": "tacl_a_00660.pdf",
-  "question": "Among the three correction strategies: training-time correction, generation-time correction, and post-hoc correction, which one has the most representative papers in the survey? ",
-  "answer": "post-hoc correction",
-  "answer_format": "Str",
+  "doc_id": "a5879805d70c854ea4361e43a84e3bb2.pdf",
+  "question": "How many Exhibits are mentioned in the document?",
+  "answer": "27",
+  "answer_format": "Int",
   "condition": "control",
   "k": 0,
   "source_position": "first",
   "pdf_paths": [
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/tacl_a_00660.pdf"
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/a5879805d70c854ea4361e43a84e3bb2.pdf"
   ],
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-    "tacl_a_00660.pdf"
+    "a5879805d70c854ea4361e43a84e3bb2.pdf"
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-  "est_tokens": 20700,
+  "n_pages": 15,
+  "est_tokens": 13500,
   "expected_route": "azure",
   "bundle_filenames": [
     "source.pdf"
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-    "tacl_a_00660.pdf"
+    "a5879805d70c854ea4361e43a84e3bb2.pdf"
   ]
 }

q106/hard_negative_k2/question.json

@@ -1,24 +1,24 @@
 {
   "cell_id": "q106_hard_negative_k2",
-  "doc_id": "tacl_a_00660.pdf",
-  "question": "Among the three correction strategies: training-time correction, generation-time correction, and post-hoc correction, which one has the most representative papers in the survey? ",
-  "answer": "post-hoc correction",
-  "answer_format": "Str",
+  "doc_id": "a5879805d70c854ea4361e43a84e3bb2.pdf",
+  "question": "How many Exhibits are mentioned in the document?",
+  "answer": "27",
+  "answer_format": "Int",
   "condition": "hard_negative",
   "k": 2,
   "source_position": "first",
   "pdf_paths": [
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/tacl_a_00660.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_cfc8463d4b8b98ee.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_807d71267666ed53.pdf"
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/a5879805d70c854ea4361e43a84e3bb2.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_459cb41b80747aec.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_9deb1a47e107dc04.pdf"
   ],
   "pdf_names": [
-    "tacl_a_00660.pdf",
-    "web_cfc8463d4b8b98ee.pdf",
-    "web_807d71267666ed53.pdf"
+    "a5879805d70c854ea4361e43a84e3bb2.pdf",
+    "web_459cb41b80747aec.pdf",
+    "web_9deb1a47e107dc04.pdf"
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-  "n_pages": 65,
-  "est_tokens": 58500,
+  "n_pages": 55,
+  "est_tokens": 49500,
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   "bundle_filenames": [
     "source.pdf",
@@ -26,8 +26,8 @@
     "hn_2.pdf"
   ],
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-    "tacl_a_00660.pdf",
-    "web_cfc8463d4b8b98ee.pdf",
-    "web_807d71267666ed53.pdf"
+    "a5879805d70c854ea4361e43a84e3bb2.pdf",
+    "web_459cb41b80747aec.pdf",
+    "web_9deb1a47e107dc04.pdf"
   ]
 }

q106/hard_negative_k4/question.json

@@ -1,28 +1,28 @@
 {
   "cell_id": "q106_hard_negative_k4",
-  "doc_id": "tacl_a_00660.pdf",
-  "question": "Among the three correction strategies: training-time correction, generation-time correction, and post-hoc correction, which one has the most representative papers in the survey? ",
-  "answer": "post-hoc correction",
-  "answer_format": "Str",
+  "doc_id": "a5879805d70c854ea4361e43a84e3bb2.pdf",
+  "question": "How many Exhibits are mentioned in the document?",
+  "answer": "27",
+  "answer_format": "Int",
   "condition": "hard_negative",
   "k": 4,
   "source_position": "first",
   "pdf_paths": [
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/tacl_a_00660.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_cfc8463d4b8b98ee.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_807d71267666ed53.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_1ac94ecc65814303.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_7bed9c57d39865f1.pdf"
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/a5879805d70c854ea4361e43a84e3bb2.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_459cb41b80747aec.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_9deb1a47e107dc04.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_d1b6bfca9d815fc7.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5b8076d084922575.pdf"
   ],
   "pdf_names": [
-    "tacl_a_00660.pdf",
-    "web_cfc8463d4b8b98ee.pdf",
-    "web_807d71267666ed53.pdf",
-    "web_1ac94ecc65814303.pdf",
-    "web_7bed9c57d39865f1.pdf"
+    "a5879805d70c854ea4361e43a84e3bb2.pdf",
+    "web_459cb41b80747aec.pdf",
+    "web_9deb1a47e107dc04.pdf",
+    "web_d1b6bfca9d815fc7.pdf",
+    "web_5b8076d084922575.pdf"
   ],
-  "n_pages": 114,
-  "est_tokens": 102600,
+  "n_pages": 104,
+  "est_tokens": 93600,
   "expected_route": "openrouter",
   "bundle_filenames": [
     "source.pdf",
@@ -32,10 +32,10 @@
     "hn_4.pdf"
   ],
   "original_filenames": [
-    "tacl_a_00660.pdf",
-    "web_cfc8463d4b8b98ee.pdf",
-    "web_807d71267666ed53.pdf",
-    "web_1ac94ecc65814303.pdf",
-    "web_7bed9c57d39865f1.pdf"
+    "a5879805d70c854ea4361e43a84e3bb2.pdf",
+    "web_459cb41b80747aec.pdf",
+    "web_9deb1a47e107dc04.pdf",
+    "web_d1b6bfca9d815fc7.pdf",
+    "web_5b8076d084922575.pdf"
   ]
 }

q106/random_k2/question.json

@@ -1,33 +1,33 @@
 {
   "cell_id": "q106_random_k2",
-  "doc_id": "tacl_a_00660.pdf",
-  "question": "Among the three correction strategies: training-time correction, generation-time correction, and post-hoc correction, which one has the most representative papers in the survey? ",
-  "answer": "post-hoc correction",
-  "answer_format": "Str",
+  "doc_id": "a5879805d70c854ea4361e43a84e3bb2.pdf",
+  "question": "How many Exhibits are mentioned in the document?",
+  "answer": "27",
+  "answer_format": "Int",
   "condition": "random",
   "k": 2,
   "source_position": "first",
   "pdf_paths": [
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/tacl_a_00660.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/39b319333438b2f1d2cac233d33037b5de6aee69.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/a8431481e88e12d57e4fcf2c30c9d3977e16f1ad.pdf"
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/a5879805d70c854ea4361e43a84e3bb2.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_757a5d160fcc186b.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_c4b48f5409e60c35.pdf"
   ],
   "pdf_names": [
-    "tacl_a_00660.pdf",
-    "39b319333438b2f1d2cac233d33037b5de6aee69.pdf",
-    "a8431481e88e12d57e4fcf2c30c9d3977e16f1ad.pdf"
+    "a5879805d70c854ea4361e43a84e3bb2.pdf",
+    "web_757a5d160fcc186b.pdf",
+    "web_c4b48f5409e60c35.pdf"
   ],
-  "n_pages": 40,
-  "est_tokens": 36000,
-  "expected_route": "azure",
+  "n_pages": 86,
+  "est_tokens": 77400,
+  "expected_route": "openrouter",
   "bundle_filenames": [
     "source.pdf",
     "random_1.pdf",
     "random_2.pdf"
   ],
   "original_filenames": [
-    "tacl_a_00660.pdf",
-    "39b319333438b2f1d2cac233d33037b5de6aee69.pdf",
-    "a8431481e88e12d57e4fcf2c30c9d3977e16f1ad.pdf"
+    "a5879805d70c854ea4361e43a84e3bb2.pdf",
+    "web_757a5d160fcc186b.pdf",
+    "web_c4b48f5409e60c35.pdf"
   ]
 }

q106/random_k4/question.json

@@ -1,28 +1,28 @@
 {
   "cell_id": "q106_random_k4",
-  "doc_id": "tacl_a_00660.pdf",
-  "question": "Among the three correction strategies: training-time correction, generation-time correction, and post-hoc correction, which one has the most representative papers in the survey? ",
-  "answer": "post-hoc correction",
-  "answer_format": "Str",
+  "doc_id": "a5879805d70c854ea4361e43a84e3bb2.pdf",
+  "question": "How many Exhibits are mentioned in the document?",
+  "answer": "27",
+  "answer_format": "Int",
   "condition": "random",
   "k": 4,
   "source_position": "first",
   "pdf_paths": [
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/tacl_a_00660.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/39b319333438b2f1d2cac233d33037b5de6aee69.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/a8431481e88e12d57e4fcf2c30c9d3977e16f1ad.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_4967637cb293ae70.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ec4eb8b43a001ba9.pdf"
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/a5879805d70c854ea4361e43a84e3bb2.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_757a5d160fcc186b.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_c4b48f5409e60c35.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_1bb55f026f3c5bd5.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_88b8d238372b5297.pdf"
   ],
   "pdf_names": [
-    "tacl_a_00660.pdf",
-    "39b319333438b2f1d2cac233d33037b5de6aee69.pdf",
-    "a8431481e88e12d57e4fcf2c30c9d3977e16f1ad.pdf",
-    "web_4967637cb293ae70.pdf",
-    "web_ec4eb8b43a001ba9.pdf"
+    "a5879805d70c854ea4361e43a84e3bb2.pdf",
+    "web_757a5d160fcc186b.pdf",
+    "web_c4b48f5409e60c35.pdf",
+    "web_1bb55f026f3c5bd5.pdf",
+    "web_88b8d238372b5297.pdf"
   ],
-  "n_pages": 83,
-  "est_tokens": 74700,
+  "n_pages": 118,
+  "est_tokens": 106200,
   "expected_route": "openrouter",
   "bundle_filenames": [
     "source.pdf",
@@ -32,10 +32,10 @@
     "random_4.pdf"
   ],
   "original_filenames": [
-    "tacl_a_00660.pdf",
-    "39b319333438b2f1d2cac233d33037b5de6aee69.pdf",
-    "a8431481e88e12d57e4fcf2c30c9d3977e16f1ad.pdf",
-    "web_4967637cb293ae70.pdf",
-    "web_ec4eb8b43a001ba9.pdf"
+    "a5879805d70c854ea4361e43a84e3bb2.pdf",
+    "web_757a5d160fcc186b.pdf",
+    "web_c4b48f5409e60c35.pdf",
+    "web_1bb55f026f3c5bd5.pdf",
+    "web_88b8d238372b5297.pdf"
   ]
 }

q107/control_k0/question.json

@@ -1,25 +1,25 @@
 {
   "cell_id": "q107_control_k0",
-  "doc_id": "tacl_a_00660.pdf",
-  "question": "For the papers that adopted the Model Debate strategy in Table 2, how many of them are not mentioned in Section 3.4? Write the answer in float format.",
-  "answer": "2",
-  "answer_format": "Int",
+  "doc_id": "a5879805d70c854ea4361e43a84e3bb2.pdf",
+  "question": "Among the 26 Exhibits from P-1 to P-26, which Exhibits are not mentioned in the document? The answer should be formatted as a list, for example [\"P-1\",\"P-2\"]",
+  "answer": "['P-15', 'P-16', 'P-17', 'P-18']",
+  "answer_format": "List",
   "condition": "control",
   "k": 0,
   "source_position": "first",
   "pdf_paths": [
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/tacl_a_00660.pdf"
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/a5879805d70c854ea4361e43a84e3bb2.pdf"
   ],
   "pdf_names": [
-    "tacl_a_00660.pdf"
+    "a5879805d70c854ea4361e43a84e3bb2.pdf"
   ],
-  "n_pages": 23,
-  "est_tokens": 20700,
+  "n_pages": 15,
+  "est_tokens": 13500,
   "expected_route": "azure",
   "bundle_filenames": [
     "source.pdf"
   ],
   "original_filenames": [
-    "tacl_a_00660.pdf"
+    "a5879805d70c854ea4361e43a84e3bb2.pdf"
   ]
 }

q107/hard_negative_k2/question.json

@@ -1,24 +1,24 @@
 {
   "cell_id": "q107_hard_negative_k2",
-  "doc_id": "tacl_a_00660.pdf",
-  "question": "For the papers that adopted the Model Debate strategy in Table 2, how many of them are not mentioned in Section 3.4? Write the answer in float format.",
-  "answer": "2",
-  "answer_format": "Int",
+  "doc_id": "a5879805d70c854ea4361e43a84e3bb2.pdf",
+  "question": "Among the 26 Exhibits from P-1 to P-26, which Exhibits are not mentioned in the document? The answer should be formatted as a list, for example [\"P-1\",\"P-2\"]",
+  "answer": "['P-15', 'P-16', 'P-17', 'P-18']",
+  "answer_format": "List",
   "condition": "hard_negative",
   "k": 2,
   "source_position": "first",
   "pdf_paths": [
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/tacl_a_00660.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_cfc8463d4b8b98ee.pdf",
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_807d71267666ed53.pdf"
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/a5879805d70c854ea4361e43a84e3bb2.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_459cb41b80747aec.pdf",
+    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_9deb1a47e107dc04.pdf"
   ],
   "pdf_names": [
-    "tacl_a_00660.pdf",
-    "web_cfc8463d4b8b98ee.pdf",
-    "web_807d71267666ed53.pdf"
+    "a5879805d70c854ea4361e43a84e3bb2.pdf",
+    "web_459cb41b80747aec.pdf",
+    "web_9deb1a47e107dc04.pdf"
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-  "n_pages": 65,
-  "est_tokens": 58500,
+  "n_pages": 55,
+  "est_tokens": 49500,
   "expected_route": "openrouter",
   "bundle_filenames": [
     "source.pdf",
@@ -26,8 +26,8 @@
     "hn_2.pdf"
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   "original_filenames": [
-    "tacl_a_00660.pdf",
-    "web_cfc8463d4b8b98ee.pdf",
-    "web_807d71267666ed53.pdf"
+    "a5879805d70c854ea4361e43a84e3bb2.pdf",
+    "web_459cb41b80747aec.pdf",
+    "web_9deb1a47e107dc04.pdf"
   ]
 }

q107/hard_negative_k4/question.json

@@ -1,28 +1,28 @@
 {
   "cell_id": "q107_hard_negative_k4",
-  "doc_id": "tacl_a_00660.pdf",
-  "question": "For the papers that adopted the Model Debate strategy in Table 2, how many of them are not mentioned in Section 3.4? Write the answer in float format.",
-  "answer": "2",
-  "answer_format": "Int",
+  "doc_id": "a5879805d70c854ea4361e43a84e3bb2.pdf",
+  "question": "Among the 26 Exhibits from P-1 to P-26, which Exhibits are not mentioned in the document? The answer should be formatted as a list, for example [\"P-1\",\"P-2\"]",
+  "answer": "['P-15', 'P-16', 'P-17', 'P-18']",
+  "answer_format": "List",
   "condition": "hard_negative",
   "k": 4,
   "source_position": "first",
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q107/random_k2/question.json

@@ -1,33 +1,33 @@
 {
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-  "answer": "2",
-  "answer_format": "Int",
+  "doc_id": "a5879805d70c854ea4361e43a84e3bb2.pdf",
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+    "web_c4b48f5409e60c35.pdf"
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q107/random_k4/question.json

@@ -1,28 +1,28 @@
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-  "answer_format": "Int",
+  "doc_id": "a5879805d70c854ea4361e43a84e3bb2.pdf",
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   "source_position": "first",
   "pdf_paths": [
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-    "web_4967637cb293ae70.pdf",
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@@ -32,10 +32,10 @@
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+    "web_1bb55f026f3c5bd5.pdf",
+    "web_88b8d238372b5297.pdf"
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q108/control_k0/question.json

@@ -1,25 +1,25 @@
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-  "question": "For all the papers that are listed in Table 1 and Table 2, how many of them are proposed in 2021?",
-  "answer": "1",
-  "answer_format": "Int",
+  "doc_id": "3276a5b991c49cf5f9a4af0f7d6fce67.pdf",
+  "question": "What are the amounts on checks issued to the Mont Blanc company? Enumerate each amount within a list.",
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+  "answer_format": "List",
   "condition": "control",
   "k": 0,
   "source_position": "first",
   "pdf_paths": [
-    "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/tacl_a_00660.pdf"
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   ],
   "pdf_names": [
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-    "tacl_a_00660.pdf"
+    "3276a5b991c49cf5f9a4af0f7d6fce67.pdf"
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q108/hard_negative_k2/question.json

@@ -1,24 +1,24 @@
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-  "question": "For all the papers that are listed in Table 1 and Table 2, how many of them are proposed in 2021?",
-  "answer": "1",
-  "answer_format": "Int",
+  "doc_id": "3276a5b991c49cf5f9a4af0f7d6fce67.pdf",
+  "question": "What are the amounts on checks issued to the Mont Blanc company? Enumerate each amount within a list.",
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   "source_position": "first",
   "pdf_paths": [
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-    "web_cfc8463d4b8b98ee.pdf",
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q108/hard_negative_k4/question.json

@@ -1,28 +1,28 @@
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-  "answer_format": "Int",
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+  "question": "What are the amounts on checks issued to the Mont Blanc company? Enumerate each amount within a list.",
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   "condition": "hard_negative",
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   "source_position": "first",
   "pdf_paths": [
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q108/random_k2/question.json

@@ -1,33 +1,33 @@
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q108/random_k4/question.json

@@ -1,28 +1,28 @@
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q113/random_k2/question.json

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q113/random_k4/question.json

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q114/control_k0/question.json

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q114/hard_negative_k2/question.json

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q114/hard_negative_k4/question.json

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