diff --git a/q111/control_k0/question.json b/q111/control_k0/question.json index 41e2f0dd788cb30a2e6bc7305443909f39e5d9b3..e1dff765ddd4226b81be80a1934b981fb831ef6d 100644 --- a/q111/control_k0/question.json +++ b/q111/control_k0/question.json @@ -1,25 +1,25 @@ { "cell_id": "q111_control_k0", - "doc_id": "DSA-278777.pdf", - "question": "Which port has the alternative function that capture Trigger from port 0-3?", - "answer": "P1.1", - "answer_format": "Str", + "doc_id": "bariumswallowpresentation-090810084400-phpapp01_95.pdf", + "question": "How many numbers are mentioned on Slide 27 and the slide two positions after it?", + "answer": "5", + "answer_format": "Int", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/DSA-278777.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/bariumswallowpresentation-090810084400-phpapp01_95.pdf" ], "pdf_names": [ - "DSA-278777.pdf" + "bariumswallowpresentation-090810084400-phpapp01_95.pdf" ], - "n_pages": 21, - "est_tokens": 18900, - "expected_route": "azure", + "n_pages": 77, + "est_tokens": 69300, + "expected_route": "openrouter", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "DSA-278777.pdf" + "bariumswallowpresentation-090810084400-phpapp01_95.pdf" ] } \ No newline at end of file diff --git a/q111/hard_negative_k2/question.json b/q111/hard_negative_k2/question.json index bf2b9744850b88e23fe704a5548c2dc8d5f3e153..23c2af347e849a3cddf33a7a590e406c9ba7553b 100644 --- a/q111/hard_negative_k2/question.json +++ b/q111/hard_negative_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q111_hard_negative_k2", - "doc_id": "DSA-278777.pdf", - "question": "Which port has the alternative function that capture Trigger from port 0-3?", - "answer": "P1.1", - "answer_format": "Str", + "doc_id": "bariumswallowpresentation-090810084400-phpapp01_95.pdf", + "question": "How many numbers are mentioned on Slide 27 and the slide two positions after it?", + "answer": "5", + "answer_format": "Int", "condition": "hard_negative", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/DSA-278777.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_784d228de7928d5e.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_084daeed993b3df0.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/bariumswallowpresentation-090810084400-phpapp01_95.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_2ed0552c74ec7055.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_d3b2a69cee942fe5.pdf" ], "pdf_names": [ - "DSA-278777.pdf", - "web_784d228de7928d5e.pdf", - "web_084daeed993b3df0.pdf" + "bariumswallowpresentation-090810084400-phpapp01_95.pdf", + "web_2ed0552c74ec7055.pdf", + "web_d3b2a69cee942fe5.pdf" ], - "n_pages": 70, - "est_tokens": 63000, + "n_pages": 144, + "est_tokens": 129600, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "hn_2.pdf" ], "original_filenames": [ - "DSA-278777.pdf", - "web_784d228de7928d5e.pdf", - "web_084daeed993b3df0.pdf" + "bariumswallowpresentation-090810084400-phpapp01_95.pdf", + "web_2ed0552c74ec7055.pdf", + "web_d3b2a69cee942fe5.pdf" ] } \ No newline at end of file diff --git a/q111/hard_negative_k4/question.json b/q111/hard_negative_k4/question.json index 2abe06e939bca22ae1cefacf8ee69acd46ee07ed..e5d428897e82aff07b10d47b76bd7cddbbe663c3 100644 --- a/q111/hard_negative_k4/question.json +++ b/q111/hard_negative_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q111_hard_negative_k4", - "doc_id": "DSA-278777.pdf", - "question": "Which port has the alternative function that capture Trigger from port 0-3?", - "answer": "P1.1", - "answer_format": "Str", + "doc_id": "bariumswallowpresentation-090810084400-phpapp01_95.pdf", + "question": "How many numbers are mentioned on Slide 27 and the slide two positions after it?", + "answer": "5", + "answer_format": "Int", "condition": "hard_negative", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/DSA-278777.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_784d228de7928d5e.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_084daeed993b3df0.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_c678af896f91ce27.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_24ca5dd0f7f78cc6.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/bariumswallowpresentation-090810084400-phpapp01_95.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_2ed0552c74ec7055.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_d3b2a69cee942fe5.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_09a3e396907973a5.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_3b323726d687cfc1.pdf" ], "pdf_names": [ - "DSA-278777.pdf", - "web_784d228de7928d5e.pdf", - "web_084daeed993b3df0.pdf", - "web_c678af896f91ce27.pdf", - "web_24ca5dd0f7f78cc6.pdf" + "bariumswallowpresentation-090810084400-phpapp01_95.pdf", + "web_2ed0552c74ec7055.pdf", + "web_d3b2a69cee942fe5.pdf", + "web_09a3e396907973a5.pdf", + "web_3b323726d687cfc1.pdf" ], - "n_pages": 124, - "est_tokens": 111600, + "n_pages": 166, + "est_tokens": 149400, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "hn_4.pdf" ], "original_filenames": [ - "DSA-278777.pdf", - "web_784d228de7928d5e.pdf", - "web_084daeed993b3df0.pdf", - "web_c678af896f91ce27.pdf", - "web_24ca5dd0f7f78cc6.pdf" + "bariumswallowpresentation-090810084400-phpapp01_95.pdf", + "web_2ed0552c74ec7055.pdf", + "web_d3b2a69cee942fe5.pdf", + "web_09a3e396907973a5.pdf", + "web_3b323726d687cfc1.pdf" ] } \ No newline at end of file diff --git a/q111/random_k2/question.json b/q111/random_k2/question.json index 36d86d06953219adad3dd9030aa24a6e322e3d6e..f462738f5fb804d2dd0bb1edefc97635ec2050e9 100644 --- a/q111/random_k2/question.json +++ b/q111/random_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q111_random_k2", - "doc_id": "DSA-278777.pdf", - "question": "Which port has the alternative function that capture Trigger from port 0-3?", - "answer": "P1.1", - "answer_format": "Str", + "doc_id": "bariumswallowpresentation-090810084400-phpapp01_95.pdf", + "question": "How many numbers are mentioned on Slide 27 and the slide two positions after it?", + "answer": "5", + "answer_format": "Int", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/DSA-278777.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/58a44062a5b5795816b8b85c9c8c3a95c53d18a7.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_3d4f3ac92c7d6ca8.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/bariumswallowpresentation-090810084400-phpapp01_95.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_4df9d7e2455de3a4.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_cfca4664dfad0209.pdf" ], "pdf_names": [ - "DSA-278777.pdf", - "58a44062a5b5795816b8b85c9c8c3a95c53d18a7.pdf", - "web_3d4f3ac92c7d6ca8.pdf" + "bariumswallowpresentation-090810084400-phpapp01_95.pdf", + "web_4df9d7e2455de3a4.pdf", + "web_cfca4664dfad0209.pdf" ], - "n_pages": 63, - "est_tokens": 56700, + "n_pages": 144, + "est_tokens": 129600, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "random_2.pdf" ], "original_filenames": [ - "DSA-278777.pdf", - "58a44062a5b5795816b8b85c9c8c3a95c53d18a7.pdf", - "web_3d4f3ac92c7d6ca8.pdf" + "bariumswallowpresentation-090810084400-phpapp01_95.pdf", + "web_4df9d7e2455de3a4.pdf", + "web_cfca4664dfad0209.pdf" ] } \ No newline at end of file diff --git a/q111/random_k4/question.json b/q111/random_k4/question.json index e95fb03ebd4769345baf0ea27663a7c72a095c16..0f4eb2cec9eaa859109afdd5534f79401105059c 100644 --- a/q111/random_k4/question.json +++ b/q111/random_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q111_random_k4", - "doc_id": "DSA-278777.pdf", - "question": "Which port has the alternative function that capture Trigger from port 0-3?", - "answer": "P1.1", - "answer_format": "Str", + "doc_id": "bariumswallowpresentation-090810084400-phpapp01_95.pdf", + "question": "How many numbers are mentioned on Slide 27 and the slide two positions after it?", + "answer": "5", + "answer_format": "Int", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/DSA-278777.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/58a44062a5b5795816b8b85c9c8c3a95c53d18a7.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_3d4f3ac92c7d6ca8.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_d25a6a5218995c2e.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_839cc267cf5fcc63.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/bariumswallowpresentation-090810084400-phpapp01_95.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_4df9d7e2455de3a4.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_cfca4664dfad0209.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ddfd3d214b1f0ea4.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_9a7360a70aa0e44b.pdf" ], "pdf_names": [ - "DSA-278777.pdf", - "58a44062a5b5795816b8b85c9c8c3a95c53d18a7.pdf", - "web_3d4f3ac92c7d6ca8.pdf", - "web_d25a6a5218995c2e.pdf", - "web_839cc267cf5fcc63.pdf" + "bariumswallowpresentation-090810084400-phpapp01_95.pdf", + "web_4df9d7e2455de3a4.pdf", + "web_cfca4664dfad0209.pdf", + "web_ddfd3d214b1f0ea4.pdf", + "web_9a7360a70aa0e44b.pdf" ], - "n_pages": 118, - "est_tokens": 106200, + "n_pages": 186, + "est_tokens": 167400, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "random_4.pdf" ], "original_filenames": [ - "DSA-278777.pdf", - "58a44062a5b5795816b8b85c9c8c3a95c53d18a7.pdf", - "web_3d4f3ac92c7d6ca8.pdf", - "web_d25a6a5218995c2e.pdf", - "web_839cc267cf5fcc63.pdf" + "bariumswallowpresentation-090810084400-phpapp01_95.pdf", + "web_4df9d7e2455de3a4.pdf", + "web_cfca4664dfad0209.pdf", + "web_ddfd3d214b1f0ea4.pdf", + "web_9a7360a70aa0e44b.pdf" ] } \ No newline at end of file diff --git a/q116/control_k0/question.json b/q116/control_k0/question.json index af1d65c90e61b8bfe6e5d68cd992fb94ac2353ec..6e816c942730de3635acab1064ba0473f3cfa4f9 100644 --- a/q116/control_k0/question.json +++ b/q116/control_k0/question.json @@ -1,25 +1,25 @@ { "cell_id": "q116_control_k0", - "doc_id": "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", - "question": "How many data centers does the China's largest cloud provider have?", - "answer": "18", - "answer_format": "Str", + "doc_id": "2023.acl-long.386.pdf", + "question": "How many prompts examples are shown in the paper's main body?", + "answer": "2", + "answer_format": "Int", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/Campaign_038_Introducing_AC_Whitepaper_v5e.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2023.acl-long.386.pdf" ], "pdf_names": [ - "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf" + "2023.acl-long.386.pdf" ], - "n_pages": 28, - "est_tokens": 25200, + "n_pages": 24, + "est_tokens": 21600, "expected_route": "azure", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf" + "2023.acl-long.386.pdf" ] } \ No newline at end of file diff --git a/q116/hard_negative_k2/question.json b/q116/hard_negative_k2/question.json index f654673412ef3d21783e88f5bdee1630b123f2a1..ee1a1044c3162d3f6380009c69529223ed2081c2 100644 --- a/q116/hard_negative_k2/question.json +++ b/q116/hard_negative_k2/question.json @@ -1,33 +1,33 @@ { "cell_id": "q116_hard_negative_k2", - "doc_id": "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", - "question": "How many data centers does the China's largest cloud provider have?", - "answer": "18", - "answer_format": "Str", + "doc_id": "2023.acl-long.386.pdf", + "question": "How many prompts examples are shown in the paper's main body?", + "answer": "2", + "answer_format": "Int", "condition": "hard_negative", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_7ab0d162ea88316a.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_a39c0d7f5ff0dedb.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2023.acl-long.386.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_0dc84f132d687f9a.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_86f9823f6b6edb2b.pdf" ], "pdf_names": [ - "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", - "web_7ab0d162ea88316a.pdf", - "web_a39c0d7f5ff0dedb.pdf" + "2023.acl-long.386.pdf", + "web_0dc84f132d687f9a.pdf", + "web_86f9823f6b6edb2b.pdf" ], - "n_pages": 47, - "est_tokens": 42300, - "expected_route": "azure", + "n_pages": 75, + "est_tokens": 67500, + "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", "hn_1.pdf", "hn_2.pdf" ], "original_filenames": [ - "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", - "web_7ab0d162ea88316a.pdf", - "web_a39c0d7f5ff0dedb.pdf" + "2023.acl-long.386.pdf", + "web_0dc84f132d687f9a.pdf", + "web_86f9823f6b6edb2b.pdf" ] } \ No newline at end of file diff --git a/q116/hard_negative_k4/question.json b/q116/hard_negative_k4/question.json index 84afe5b4e8a89a78f738fbd4c04e89fb0fe9d2e5..4e2fa8ded5b527a0b35c944dcd1ae2cc27ea78cb 100644 --- a/q116/hard_negative_k4/question.json +++ b/q116/hard_negative_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q116_hard_negative_k4", - "doc_id": "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", - "question": "How many data centers does the China's largest cloud provider have?", - "answer": "18", - "answer_format": "Str", + "doc_id": "2023.acl-long.386.pdf", + "question": "How many prompts examples are shown in the paper's main body?", + "answer": "2", + "answer_format": "Int", "condition": "hard_negative", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_7ab0d162ea88316a.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_a39c0d7f5ff0dedb.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_f77c9a6a0c40e754.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6bb860a08864dd7a.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2023.acl-long.386.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_0dc84f132d687f9a.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_86f9823f6b6edb2b.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/9613551ec37b9e99f8cb5ff7c2accd7dc38f3ef1.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6bc8f0013b78aca4.pdf" ], "pdf_names": [ - "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", - "web_7ab0d162ea88316a.pdf", - "web_a39c0d7f5ff0dedb.pdf", - "web_f77c9a6a0c40e754.pdf", - "web_6bb860a08864dd7a.pdf" + "2023.acl-long.386.pdf", + "web_0dc84f132d687f9a.pdf", + "web_86f9823f6b6edb2b.pdf", + "9613551ec37b9e99f8cb5ff7c2accd7dc38f3ef1.pdf", + "web_6bc8f0013b78aca4.pdf" ], - "n_pages": 94, - "est_tokens": 84600, + "n_pages": 93, + "est_tokens": 83700, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "hn_4.pdf" ], "original_filenames": [ - "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", - "web_7ab0d162ea88316a.pdf", - "web_a39c0d7f5ff0dedb.pdf", - "web_f77c9a6a0c40e754.pdf", - "web_6bb860a08864dd7a.pdf" + "2023.acl-long.386.pdf", + "web_0dc84f132d687f9a.pdf", + "web_86f9823f6b6edb2b.pdf", + "9613551ec37b9e99f8cb5ff7c2accd7dc38f3ef1.pdf", + "web_6bc8f0013b78aca4.pdf" ] } \ No newline at end of file diff --git a/q116/random_k2/question.json b/q116/random_k2/question.json index c67125529eb1c62ce62b5b97bcbd164f79c683ad..56b73dc2f8f8ed4216956941e4695c3981e738d2 100644 --- a/q116/random_k2/question.json +++ b/q116/random_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q116_random_k2", - "doc_id": "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", - "question": "How many data centers does the China's largest cloud provider have?", - "answer": "18", - "answer_format": "Str", + "doc_id": "2023.acl-long.386.pdf", + "question": "How many prompts examples are shown in the paper's main body?", + "answer": "2", + "answer_format": "Int", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_4493415b248faf19.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_fba1e08daa86a699.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2023.acl-long.386.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ab28fbcd92cfea3d.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_28449e05c7149be2.pdf" ], "pdf_names": [ - "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", - "web_4493415b248faf19.pdf", - "web_fba1e08daa86a699.pdf" + "2023.acl-long.386.pdf", + "web_ab28fbcd92cfea3d.pdf", + "web_28449e05c7149be2.pdf" ], - "n_pages": 76, - "est_tokens": 68400, + "n_pages": 58, + "est_tokens": 52200, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "random_2.pdf" ], "original_filenames": [ - "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", - "web_4493415b248faf19.pdf", - "web_fba1e08daa86a699.pdf" + "2023.acl-long.386.pdf", + "web_ab28fbcd92cfea3d.pdf", + "web_28449e05c7149be2.pdf" ] } \ No newline at end of file diff --git a/q116/random_k4/question.json b/q116/random_k4/question.json index bcf16be1921a3292be63b4dea1a29e50d58cd077..6bc0b2aa6ed9404490fef62dd87018c6c1ae85b6 100644 --- a/q116/random_k4/question.json +++ b/q116/random_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q116_random_k4", - "doc_id": "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", - "question": "How many data centers does the China's largest cloud provider have?", - "answer": "18", - "answer_format": "Str", + "doc_id": "2023.acl-long.386.pdf", + "question": "How many prompts examples are shown in the paper's main body?", + "answer": "2", + "answer_format": "Int", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_4493415b248faf19.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_fba1e08daa86a699.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/2c234bda5ce63ce4880d2c4297d4c4c4eee6f3d2.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_d3b2a69cee942fe5.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2023.acl-long.386.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ab28fbcd92cfea3d.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_28449e05c7149be2.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_24ca5dd0f7f78cc6.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6bb860a08864dd7a.pdf" ], "pdf_names": [ - "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", - "web_4493415b248faf19.pdf", - "web_fba1e08daa86a699.pdf", - "2c234bda5ce63ce4880d2c4297d4c4c4eee6f3d2.pdf", - "web_d3b2a69cee942fe5.pdf" + "2023.acl-long.386.pdf", + "web_ab28fbcd92cfea3d.pdf", + "web_28449e05c7149be2.pdf", + "web_24ca5dd0f7f78cc6.pdf", + "web_6bb860a08864dd7a.pdf" ], - "n_pages": 129, - "est_tokens": 116100, + "n_pages": 102, + "est_tokens": 91800, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "random_4.pdf" ], "original_filenames": [ - "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", - "web_4493415b248faf19.pdf", - "web_fba1e08daa86a699.pdf", - "2c234bda5ce63ce4880d2c4297d4c4c4eee6f3d2.pdf", - "web_d3b2a69cee942fe5.pdf" + "2023.acl-long.386.pdf", + "web_ab28fbcd92cfea3d.pdf", + "web_28449e05c7149be2.pdf", + "web_24ca5dd0f7f78cc6.pdf", + "web_6bb860a08864dd7a.pdf" ] } \ No newline at end of file diff --git a/q118/control_k0/question.json b/q118/control_k0/question.json index 826be542f05328263aae4869afb914e3796460fe..27872e56240532569500bc6cdbce864ef45239a8 100644 --- a/q118/control_k0/question.json +++ b/q118/control_k0/question.json @@ -1,25 +1,25 @@ { "cell_id": "q118_control_k0", - "doc_id": "ISEP_student_handbook_2020.pdf", - "question": "Which compulsory ISEP courses does the students must have? Write the answer in list format in ascending order. ", - "answer": "['GS5002', 'GS6001', 'GS6883A', 'GS5101']", - "answer_format": "List", + "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", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/ISEP_student_handbook_2020.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/tacl_a_00660.pdf" ], "pdf_names": [ - "ISEP_student_handbook_2020.pdf" + "tacl_a_00660.pdf" ], - "n_pages": 24, - "est_tokens": 21600, + "n_pages": 23, + "est_tokens": 20700, "expected_route": "azure", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "ISEP_student_handbook_2020.pdf" + "tacl_a_00660.pdf" ] } \ No newline at end of file diff --git a/q118/hard_negative_k2/question.json b/q118/hard_negative_k2/question.json index 441b81969ab1eec9ec8908fbc281e072ac0d66e4..78d56df7f3ca4dbc6f1559b3979761c795209c7f 100644 --- a/q118/hard_negative_k2/question.json +++ b/q118/hard_negative_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q118_hard_negative_k2", - "doc_id": "ISEP_student_handbook_2020.pdf", - "question": "Which compulsory ISEP courses does the students must have? Write the answer in list format in ascending order. ", - "answer": "['GS5002', 'GS6001', 'GS6883A', 'GS5101']", - "answer_format": "List", + "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", "condition": "hard_negative", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/ISEP_student_handbook_2020.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_916b7a91e57d5299.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_213e208cc21dfd8a.pdf" + "/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" ], "pdf_names": [ - "ISEP_student_handbook_2020.pdf", - "web_916b7a91e57d5299.pdf", - "web_213e208cc21dfd8a.pdf" + "tacl_a_00660.pdf", + "web_cfc8463d4b8b98ee.pdf", + "web_807d71267666ed53.pdf" ], - "n_pages": 86, - "est_tokens": 77400, + "n_pages": 65, + "est_tokens": 58500, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "hn_2.pdf" ], "original_filenames": [ - "ISEP_student_handbook_2020.pdf", - "web_916b7a91e57d5299.pdf", - "web_213e208cc21dfd8a.pdf" + "tacl_a_00660.pdf", + "web_cfc8463d4b8b98ee.pdf", + "web_807d71267666ed53.pdf" ] } \ No newline at end of file diff --git a/q118/hard_negative_k4/question.json b/q118/hard_negative_k4/question.json index f6f41c2cb6312f35af5f810b6df0fc830b51bfe4..752e7ad646e2ea33cb2413546303a5554a928059 100644 --- a/q118/hard_negative_k4/question.json +++ b/q118/hard_negative_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q118_hard_negative_k4", - "doc_id": "ISEP_student_handbook_2020.pdf", - "question": "Which compulsory ISEP courses does the students must have? Write the answer in list format in ascending order. ", - "answer": "['GS5002', 'GS6001', 'GS6883A', 'GS5101']", - "answer_format": "List", + "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", "condition": "hard_negative", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/ISEP_student_handbook_2020.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_916b7a91e57d5299.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_213e208cc21dfd8a.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_d8f936ecd4367f91.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5ba1faa4f8b60c76.pdf" + "/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" ], "pdf_names": [ - "ISEP_student_handbook_2020.pdf", - "web_916b7a91e57d5299.pdf", - "web_213e208cc21dfd8a.pdf", - "web_d8f936ecd4367f91.pdf", - "web_5ba1faa4f8b60c76.pdf" + "tacl_a_00660.pdf", + "web_cfc8463d4b8b98ee.pdf", + "web_807d71267666ed53.pdf", + "web_1ac94ecc65814303.pdf", + "web_7bed9c57d39865f1.pdf" ], - "n_pages": 153, - "est_tokens": 137700, + "n_pages": 114, + "est_tokens": 102600, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "hn_4.pdf" ], "original_filenames": [ - "ISEP_student_handbook_2020.pdf", - "web_916b7a91e57d5299.pdf", - "web_213e208cc21dfd8a.pdf", - "web_d8f936ecd4367f91.pdf", - "web_5ba1faa4f8b60c76.pdf" + "tacl_a_00660.pdf", + "web_cfc8463d4b8b98ee.pdf", + "web_807d71267666ed53.pdf", + "web_1ac94ecc65814303.pdf", + "web_7bed9c57d39865f1.pdf" ] } \ No newline at end of file diff --git a/q118/random_k2/question.json b/q118/random_k2/question.json index d75896d417b68832c65f82f2d133d5c68d40c121..40a3a834870509c7367d27e3dd09c7b7fbf23ad6 100644 --- a/q118/random_k2/question.json +++ b/q118/random_k2/question.json @@ -1,21 +1,21 @@ { "cell_id": "q118_random_k2", - "doc_id": "ISEP_student_handbook_2020.pdf", - "question": "Which compulsory ISEP courses does the students must have? Write the answer in list format in ascending order. ", - "answer": "['GS5002', 'GS6001', 'GS6883A', 'GS5101']", - "answer_format": "List", + "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", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/ISEP_student_handbook_2020.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_94442ce12f8c032c.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_b3c7755f9510022a.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/tacl_a_00660.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_d8f936ecd4367f91.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_4cf87d006f2e4a65.pdf" ], "pdf_names": [ - "ISEP_student_handbook_2020.pdf", - "web_94442ce12f8c032c.pdf", - "web_b3c7755f9510022a.pdf" + "tacl_a_00660.pdf", + "web_d8f936ecd4367f91.pdf", + "web_4cf87d006f2e4a65.pdf" ], "n_pages": 65, "est_tokens": 58500, @@ -26,8 +26,8 @@ "random_2.pdf" ], "original_filenames": [ - "ISEP_student_handbook_2020.pdf", - "web_94442ce12f8c032c.pdf", - "web_b3c7755f9510022a.pdf" + "tacl_a_00660.pdf", + "web_d8f936ecd4367f91.pdf", + "web_4cf87d006f2e4a65.pdf" ] } \ No newline at end of file diff --git a/q118/random_k4/question.json b/q118/random_k4/question.json index 6948244fb6fb73f74291062b8ae5e332adf7e4f6..462c821e57d780b975a156765ae5c093d8da094c 100644 --- a/q118/random_k4/question.json +++ b/q118/random_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q118_random_k4", - "doc_id": "ISEP_student_handbook_2020.pdf", - "question": "Which compulsory ISEP courses does the students must have? Write the answer in list format in ascending order. ", - "answer": "['GS5002', 'GS6001', 'GS6883A', 'GS5101']", - "answer_format": "List", + "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", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/ISEP_student_handbook_2020.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_94442ce12f8c032c.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_b3c7755f9510022a.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/88d4b9368dcf48f2b3e788da0a5f10e87e5a3361.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_88b8d238372b5297.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/tacl_a_00660.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_d8f936ecd4367f91.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_4cf87d006f2e4a65.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_2ed0552c74ec7055.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_77f281bc58aa8364.pdf" ], "pdf_names": [ - "ISEP_student_handbook_2020.pdf", - "web_94442ce12f8c032c.pdf", - "web_b3c7755f9510022a.pdf", - "88d4b9368dcf48f2b3e788da0a5f10e87e5a3361.pdf", - "web_88b8d238372b5297.pdf" + "tacl_a_00660.pdf", + "web_d8f936ecd4367f91.pdf", + "web_4cf87d006f2e4a65.pdf", + "web_2ed0552c74ec7055.pdf", + "web_77f281bc58aa8364.pdf" ], - "n_pages": 91, - "est_tokens": 81900, + "n_pages": 155, + "est_tokens": 139500, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "random_4.pdf" ], "original_filenames": [ - "ISEP_student_handbook_2020.pdf", - "web_94442ce12f8c032c.pdf", - "web_b3c7755f9510022a.pdf", - "88d4b9368dcf48f2b3e788da0a5f10e87e5a3361.pdf", - "web_88b8d238372b5297.pdf" + "tacl_a_00660.pdf", + "web_d8f936ecd4367f91.pdf", + "web_4cf87d006f2e4a65.pdf", + "web_2ed0552c74ec7055.pdf", + "web_77f281bc58aa8364.pdf" ] } \ No newline at end of file diff --git a/q120/control_k0/question.json b/q120/control_k0/question.json index d6d780b3fa127a4c58b7599628aa38d94a2b4d00..e8b7524af802703d5ecc2816f8faa715cd7ce3a3 100644 --- a/q120/control_k0/question.json +++ b/q120/control_k0/question.json @@ -1,25 +1,25 @@ { "cell_id": "q120_control_k0", - "doc_id": "ISEP_student_handbook_2020.pdf", - "question": "What is the maximum hours of ISEP buddy scheme does a Singaporean ISEP students require to do?", - "answer": "10", + "doc_id": "tacl_a_00660.pdf", + "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", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/ISEP_student_handbook_2020.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/tacl_a_00660.pdf" ], "pdf_names": [ - "ISEP_student_handbook_2020.pdf" + "tacl_a_00660.pdf" ], - "n_pages": 24, - "est_tokens": 21600, + "n_pages": 23, + "est_tokens": 20700, "expected_route": "azure", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "ISEP_student_handbook_2020.pdf" + "tacl_a_00660.pdf" ] } \ No newline at end of file diff --git a/q120/hard_negative_k2/question.json b/q120/hard_negative_k2/question.json index 64063023782de535c28d2017c2da165b2ef443ca..1d83cd71010355ac1d6b311fe133519bc199fb9b 100644 --- a/q120/hard_negative_k2/question.json +++ b/q120/hard_negative_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q120_hard_negative_k2", - "doc_id": "ISEP_student_handbook_2020.pdf", - "question": "What is the maximum hours of ISEP buddy scheme does a Singaporean ISEP students require to do?", - "answer": "10", + "doc_id": "tacl_a_00660.pdf", + "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", "condition": "hard_negative", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/ISEP_student_handbook_2020.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_916b7a91e57d5299.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_213e208cc21dfd8a.pdf" + "/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" ], "pdf_names": [ - 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"question": "How many Tweets are attributed to Germanwings, Lufthansa, and Airbus in total?", - "answer": "41", - "answer_format": "Int", + "doc_id": "owners-manual-2170416.pdf", + "question": "Which creation has more steps, To remove the drop-in trim piece or to remove the crisper?", + "answer": "Crisper", + "answer_format": "Str", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_f5c6c7f633f7f239.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_623919b9713226a3.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_c916dc9b2089aeec.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_eb48e5fd4ea89aaf.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/owners-manual-2170416.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_974a02e9fcc23ca9.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ddfd3d214b1f0ea4.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_7c476895c4da1bbe.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_623919b9713226a3.pdf" ], "pdf_names": [ - 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"doc_id": "germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95.pdf", - "question": "How many percent of Germanwings focused tweets are in English?", - "answer": "41.67", + "doc_id": "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", + "question": "How many website url does the document have?", + "answer": "30", "answer_format": "Float", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/Campaign_038_Introducing_AC_Whitepaper_v5e.pdf" ], "pdf_names": [ - "germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95.pdf" + "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf" ], - "n_pages": 23, - "est_tokens": 20700, + "n_pages": 28, + "est_tokens": 25200, "expected_route": "azure", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95.pdf" + "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf" ] } \ No newline at end of file diff --git a/q129/hard_negative_k2/question.json b/q129/hard_negative_k2/question.json index 306cec51506edde0da3d8383596b8402b6258dd4..eb174f6529e5eb03511dda626e06ce6be3c8bcb6 100644 --- a/q129/hard_negative_k2/question.json +++ b/q129/hard_negative_k2/question.json @@ -1,33 +1,33 @@ { "cell_id": "q129_hard_negative_k2", - "doc_id": "germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95.pdf", - "question": "How many percent of Germanwings focused tweets are in English?", - "answer": "41.67", + "doc_id": "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", + "question": "How many website url does the document have?", + "answer": "30", "answer_format": "Float", "condition": "hard_negative", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_aea5572714ffe7ab.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_22a98545da43ef5d.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_7ab0d162ea88316a.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_a39c0d7f5ff0dedb.pdf" ], "pdf_names": [ - 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"doc_id": "germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95.pdf", - "question": "How many percent of Germanwings focused tweets are in English?", - "answer": "41.67", + "doc_id": "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", + "question": "How many website url does the document have?", + "answer": "30", "answer_format": "Float", "condition": "hard_negative", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_aea5572714ffe7ab.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_22a98545da43ef5d.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_42d668f56ec52cbd.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_069aa51eba1e5b86.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_7ab0d162ea88316a.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_a39c0d7f5ff0dedb.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_f77c9a6a0c40e754.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6bb860a08864dd7a.pdf" ], "pdf_names": [ - 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"doc_id": "germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95.pdf", - "question": "How many percent of Germanwings focused tweets are in English?", - "answer": "41.67", + "doc_id": "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", + "question": "How many website url does the document have?", + "answer": "30", "answer_format": "Float", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_f5c6c7f633f7f239.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_623919b9713226a3.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_f97f0f003de9746d.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_55eb3e1bfd6dcec7.pdf" ], "pdf_names": [ - "germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95.pdf", - "web_f5c6c7f633f7f239.pdf", - "web_623919b9713226a3.pdf" + "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", + "web_f97f0f003de9746d.pdf", + "web_55eb3e1bfd6dcec7.pdf" ], - "n_pages": 63, - "est_tokens": 56700, + "n_pages": 57, + "est_tokens": 51300, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "random_2.pdf" ], "original_filenames": [ - "germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95.pdf", - "web_f5c6c7f633f7f239.pdf", - "web_623919b9713226a3.pdf" + "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", + "web_f97f0f003de9746d.pdf", + "web_55eb3e1bfd6dcec7.pdf" ] } \ No newline at end of file diff --git a/q129/random_k4/question.json b/q129/random_k4/question.json index c3a3fd0612a99ef9ac81bc783f8435fb44d55c46..e7785e0b52f766277f36b9c52c605211ebabd952 100644 --- a/q129/random_k4/question.json +++ b/q129/random_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q129_random_k4", - "doc_id": "germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95.pdf", - "question": "How many percent of Germanwings focused tweets are in English?", - "answer": "41.67", + "doc_id": "Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", + "question": "How many website url does the document have?", + "answer": "30", "answer_format": "Float", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/germanwingsdigitalcrisisanalysis-150403064828-conversion-gate01_95.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_f5c6c7f633f7f239.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_623919b9713226a3.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_c916dc9b2089aeec.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_eb48e5fd4ea89aaf.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/Campaign_038_Introducing_AC_Whitepaper_v5e.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_f97f0f003de9746d.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_55eb3e1bfd6dcec7.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/2c234bda5ce63ce4880d2c4297d4c4c4eee6f3d2.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_e90c53ca1c265ed4.pdf" ], "pdf_names": [ - 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"doc_id": "2305.14160v4.pdf", - "question": "How much does the Anchor Re-weighting method improve the performance of vanilla ICL on average?", - "answer": "16.74", + "doc_id": "f86d073b0d735ac873a65d906ba82758.pdf", + "question": "What is total dividend of Erstwhile ITC Hotels Limited (in Rupee) between 1999 to 2000 year?", + "answer": "30216492.00", "answer_format": "Float", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2305.14160v4.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/f86d073b0d735ac873a65d906ba82758.pdf" ], "pdf_names": [ - "2305.14160v4.pdf" + "f86d073b0d735ac873a65d906ba82758.pdf" ], - "n_pages": 16, - "est_tokens": 14400, + "n_pages": 20, + "est_tokens": 18000, "expected_route": "azure", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "2305.14160v4.pdf" + "f86d073b0d735ac873a65d906ba82758.pdf" ] } \ No newline at end of file diff --git a/q172/hard_negative_k2/question.json b/q172/hard_negative_k2/question.json index 34858177456b7fb57000291aceda7050282c2542..d20efc3c915bbab525aa0557b6cb90ce2b8b0dd4 100644 --- a/q172/hard_negative_k2/question.json +++ b/q172/hard_negative_k2/question.json @@ -1,33 +1,33 @@ { "cell_id": "q172_hard_negative_k2", - 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"doc_id": "2305.14160v4.pdf", - "question": "How much does the Anchor Re-weighting method improve the performance of vanilla ICL on average?", - "answer": "16.74", + "doc_id": "f86d073b0d735ac873a65d906ba82758.pdf", + "question": "What is total dividend of Erstwhile ITC Hotels Limited (in Rupee) between 1999 to 2000 year?", + "answer": "30216492.00", "answer_format": "Float", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2305.14160v4.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_0592b193cfe894c0.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_9c7f968fcc2ae28a.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/f86d073b0d735ac873a65d906ba82758.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_39b6cadc4e9ca03e.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/58a44062a5b5795816b8b85c9c8c3a95c53d18a7.pdf" ], "pdf_names": [ - 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"doc_id": "2305.14160v4.pdf", - "question": "Using anchor-only context compression, how much can GPT2-XL speed up on AGNews?", - "answer": "2.5x", - "answer_format": "Str", + "doc_id": "f86d073b0d735ac873a65d906ba82758.pdf", + "question": "What percentage of the shareholder was held by foreign companies and institutional investors as of March 31, 2007?", + "answer": "44.96%", + "answer_format": "Float", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2305.14160v4.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/f86d073b0d735ac873a65d906ba82758.pdf" ], "pdf_names": [ - "2305.14160v4.pdf" + "f86d073b0d735ac873a65d906ba82758.pdf" ], - "n_pages": 16, - "est_tokens": 14400, + "n_pages": 20, + "est_tokens": 18000, "expected_route": "azure", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "2305.14160v4.pdf" + "f86d073b0d735ac873a65d906ba82758.pdf" ] } \ No newline at end of file diff --git a/q173/hard_negative_k2/question.json b/q173/hard_negative_k2/question.json index 28a3c9e3321cd7e26e59a5609945aa68987f63c9..e6155e8250273e230904723575a499630cd8cd1b 100644 --- a/q173/hard_negative_k2/question.json +++ b/q173/hard_negative_k2/question.json @@ -1,33 +1,33 @@ { "cell_id": "q173_hard_negative_k2", - 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"doc_id": "ACTIVISIONBLIZZARD_2019_10K.pdf", - "question": "what is the FY2019 fixed asset turnover ratio for Activision Blizzard?", - "answer": "24.26", - "answer_format": "Float", + "doc_id": "csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95.pdf", + "question": "In the \"Who are you talking to\" section, what tips does the author give us?", + "answer": "['line them up', 'observe your clients', 'build a buyer persons']", + "answer_format": "List", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/ACTIVISIONBLIZZARD_2019_10K.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95.pdf" ], "pdf_names": [ - "ACTIVISIONBLIZZARD_2019_10K.pdf" + "csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95.pdf" ], - "n_pages": 198, - "est_tokens": 178200, + "n_pages": 65, + "est_tokens": 58500, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "ACTIVISIONBLIZZARD_2019_10K.pdf" + "csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95.pdf" ] } \ No newline at end of file diff --git a/q180/hard_negative_k2/question.json b/q180/hard_negative_k2/question.json index 223d2ec79cd5441e5d62a82c5552af541647724b..5ede5f3a2d0c9e0a2ba28f081b17daefea35eca0 100644 --- a/q180/hard_negative_k2/question.json +++ b/q180/hard_negative_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q180_hard_negative_k2", - "doc_id": "ACTIVISIONBLIZZARD_2019_10K.pdf", - "question": "what is the FY2019 fixed asset turnover ratio for Activision Blizzard?", - "answer": "24.26", - "answer_format": "Float", + "doc_id": "csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95.pdf", + "question": "In the \"Who are you talking to\" section, what tips does the author give us?", + "answer": "['line them up', 'observe your clients', 'build a buyer persons']", + "answer_format": "List", "condition": "hard_negative", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/ACTIVISIONBLIZZARD_2019_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_cb05559b91321f82.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_fe2b87c730235158.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_365d195edde4e8ba.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_e5f79db0bc92a9fa.pdf" ], "pdf_names": [ - "ACTIVISIONBLIZZARD_2019_10K.pdf", - "web_cb05559b91321f82.pdf", - "web_fe2b87c730235158.pdf" + "csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95.pdf", + "web_365d195edde4e8ba.pdf", + "web_e5f79db0bc92a9fa.pdf" ], - "n_pages": 233, - "est_tokens": 209700, + "n_pages": 125, + "est_tokens": 112500, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "hn_2.pdf" ], "original_filenames": [ - "ACTIVISIONBLIZZARD_2019_10K.pdf", - "web_cb05559b91321f82.pdf", - "web_fe2b87c730235158.pdf" + "csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95.pdf", + "web_365d195edde4e8ba.pdf", + "web_e5f79db0bc92a9fa.pdf" ] } \ No newline at end of file diff --git a/q180/hard_negative_k4/question.json b/q180/hard_negative_k4/question.json index 8ccd28c22c2d544e55e116daeee233fb59a134fe..9904a0d07444a9998f4a48a81c736cf5d7f5c3c5 100644 --- a/q180/hard_negative_k4/question.json +++ b/q180/hard_negative_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q180_hard_negative_k4", - "doc_id": "ACTIVISIONBLIZZARD_2019_10K.pdf", - "question": "what is the FY2019 fixed asset turnover ratio for Activision Blizzard?", - "answer": "24.26", - "answer_format": "Float", + "doc_id": "csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95.pdf", + "question": "In the \"Who are you talking to\" section, what tips does the author give us?", + "answer": "['line them up', 'observe your clients', 'build a buyer persons']", + "answer_format": "List", "condition": "hard_negative", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/ACTIVISIONBLIZZARD_2019_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_cb05559b91321f82.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_fe2b87c730235158.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_f8f90e71a8e2a36d.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_04d5250ccef8c98e.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_365d195edde4e8ba.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_e5f79db0bc92a9fa.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_e1c54bfb8b64fa3e.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_0ba26c20fbd5530c.pdf" ], "pdf_names": [ - "ACTIVISIONBLIZZARD_2019_10K.pdf", - "web_cb05559b91321f82.pdf", - "web_fe2b87c730235158.pdf", - "web_f8f90e71a8e2a36d.pdf", - "web_04d5250ccef8c98e.pdf" + "csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95.pdf", + "web_365d195edde4e8ba.pdf", + "web_e5f79db0bc92a9fa.pdf", + "web_e1c54bfb8b64fa3e.pdf", + "web_0ba26c20fbd5530c.pdf" ], - "n_pages": 255, - "est_tokens": 229500, + "n_pages": 173, + "est_tokens": 155700, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "hn_4.pdf" ], "original_filenames": [ - "ACTIVISIONBLIZZARD_2019_10K.pdf", - "web_cb05559b91321f82.pdf", - "web_fe2b87c730235158.pdf", - "web_f8f90e71a8e2a36d.pdf", - "web_04d5250ccef8c98e.pdf" + "csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95.pdf", + "web_365d195edde4e8ba.pdf", + "web_e5f79db0bc92a9fa.pdf", + "web_e1c54bfb8b64fa3e.pdf", + "web_0ba26c20fbd5530c.pdf" ] } \ No newline at end of file diff --git a/q180/random_k2/question.json b/q180/random_k2/question.json index e7812675942aa4f5a977a72167aa1f4daa051229..4d3527be5ca4eac476d5de9b50d4ee66fa8dfc1d 100644 --- a/q180/random_k2/question.json +++ b/q180/random_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q180_random_k2", - "doc_id": "ACTIVISIONBLIZZARD_2019_10K.pdf", - "question": "what is the FY2019 fixed asset turnover ratio for Activision Blizzard?", - "answer": "24.26", - "answer_format": "Float", + "doc_id": "csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95.pdf", + "question": "In the \"Who are you talking to\" section, what tips does the author give us?", + "answer": "['line them up', 'observe your clients', 'build a buyer persons']", + "answer_format": "List", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/ACTIVISIONBLIZZARD_2019_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_2f9dfa8a6ca32296.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_4dcbbf87758697e3.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_94091cbd1450dbf6.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/1d1e9796cf93063d60a92e083ff4372e3ac27d28.pdf" ], "pdf_names": [ - "ACTIVISIONBLIZZARD_2019_10K.pdf", - "web_2f9dfa8a6ca32296.pdf", - "web_4dcbbf87758697e3.pdf" + "csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95.pdf", + "web_94091cbd1450dbf6.pdf", + "1d1e9796cf93063d60a92e083ff4372e3ac27d28.pdf" ], - "n_pages": 228, - "est_tokens": 205200, + "n_pages": 122, + "est_tokens": 109800, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "random_2.pdf" ], "original_filenames": [ - "ACTIVISIONBLIZZARD_2019_10K.pdf", - "web_2f9dfa8a6ca32296.pdf", - "web_4dcbbf87758697e3.pdf" + "csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95.pdf", + "web_94091cbd1450dbf6.pdf", + "1d1e9796cf93063d60a92e083ff4372e3ac27d28.pdf" ] } \ No newline at end of file diff --git a/q180/random_k4/question.json b/q180/random_k4/question.json index 58451fdab575dfce81c7dd8f3a8d0bf6c0001a8c..ec36ff92e2fbbd92e2978d0e47f1ef38fb1c8beb 100644 --- a/q180/random_k4/question.json +++ b/q180/random_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q180_random_k4", - "doc_id": "ACTIVISIONBLIZZARD_2019_10K.pdf", - "question": "what is the FY2019 fixed asset turnover ratio for Activision Blizzard?", - "answer": "24.26", - "answer_format": "Float", + "doc_id": "csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95.pdf", + "question": "In the \"Who are you talking to\" section, what tips does the author give us?", + "answer": "['line them up', 'observe your clients', 'build a buyer persons']", + "answer_format": "List", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/ACTIVISIONBLIZZARD_2019_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_2f9dfa8a6ca32296.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_4dcbbf87758697e3.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_28449e05c7149be2.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5906edbb3f342646.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_94091cbd1450dbf6.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/1d1e9796cf93063d60a92e083ff4372e3ac27d28.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ae1b8a373064ff5e.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_b873ee670af56beb.pdf" ], "pdf_names": [ - "ACTIVISIONBLIZZARD_2019_10K.pdf", - "web_2f9dfa8a6ca32296.pdf", - "web_4dcbbf87758697e3.pdf", - "web_28449e05c7149be2.pdf", - "web_5906edbb3f342646.pdf" + "csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95.pdf", + "web_94091cbd1450dbf6.pdf", + "1d1e9796cf93063d60a92e083ff4372e3ac27d28.pdf", + "web_ae1b8a373064ff5e.pdf", + "web_b873ee670af56beb.pdf" ], - "n_pages": 268, - "est_tokens": 241200, + "n_pages": 196, + "est_tokens": 176400, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "random_4.pdf" ], "original_filenames": [ - "ACTIVISIONBLIZZARD_2019_10K.pdf", - "web_2f9dfa8a6ca32296.pdf", - "web_4dcbbf87758697e3.pdf", - "web_28449e05c7149be2.pdf", - "web_5906edbb3f342646.pdf" + "csewt7zsecmmbzjufbyx-signature-24d91a254426c21c3079384270e1f138dc43a271cfe15d6d520d68205855b2a3-poli-150306115347-conversion-gate01_95.pdf", + "web_94091cbd1450dbf6.pdf", + "1d1e9796cf93063d60a92e083ff4372e3ac27d28.pdf", + "web_ae1b8a373064ff5e.pdf", + "web_b873ee670af56beb.pdf" ] } \ No newline at end of file diff --git a/q181/control_k0/question.json b/q181/control_k0/question.json index 54d5aacace23ce905f0e9f077a9d0faa4236012c..f624654801cf443a70ae7e994b9efb55327c90e4 100644 --- a/q181/control_k0/question.json +++ b/q181/control_k0/question.json @@ -1,25 +1,25 @@ { "cell_id": "q181_control_k0", - "doc_id": "ACTIVISIONBLIZZARD_2019_10K.pdf", - "question": "what is R&D to asset ratio for Activision Blizzard in FY 2019? ", - "answer": "5.03%", - "answer_format": "Float", + "doc_id": "b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_95.pdf", + "question": "What are used for long-distance communication as introduced in this slide?", + "answer": "['radiowaves', 'microwaves']", + "answer_format": "List", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/ACTIVISIONBLIZZARD_2019_10K.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_95.pdf" ], "pdf_names": [ - "ACTIVISIONBLIZZARD_2019_10K.pdf" + "b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_95.pdf" ], - "n_pages": 198, - "est_tokens": 178200, - "expected_route": "openrouter", + "n_pages": 21, + "est_tokens": 18900, + "expected_route": "azure", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "ACTIVISIONBLIZZARD_2019_10K.pdf" + "b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_95.pdf" ] } \ No newline at end of file diff --git a/q181/hard_negative_k2/question.json b/q181/hard_negative_k2/question.json index 58f0a3ca39ef60b31ff78cf70d1620027a308e21..2afd311bcc12e143b190ea01cb1bb6ac85138dbc 100644 --- a/q181/hard_negative_k2/question.json +++ b/q181/hard_negative_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q181_hard_negative_k2", - "doc_id": "ACTIVISIONBLIZZARD_2019_10K.pdf", - "question": "what is R&D to asset ratio for Activision Blizzard in FY 2019? ", - "answer": "5.03%", - "answer_format": "Float", + "doc_id": "b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_95.pdf", + "question": "What are used for long-distance communication as introduced in this slide?", + "answer": "['radiowaves', 'microwaves']", + "answer_format": "List", "condition": "hard_negative", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/ACTIVISIONBLIZZARD_2019_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_cb05559b91321f82.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_fe2b87c730235158.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_95.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_d6ddd446e3ed89c3.pdf" ], "pdf_names": [ - "ACTIVISIONBLIZZARD_2019_10K.pdf", - "web_cb05559b91321f82.pdf", - "web_fe2b87c730235158.pdf" + "b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_95.pdf", + "web_8198931726741d61.pdf", + "web_d6ddd446e3ed89c3.pdf" ], - "n_pages": 233, - "est_tokens": 209700, + "n_pages": 80, + "est_tokens": 72000, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "hn_2.pdf" ], "original_filenames": [ - "ACTIVISIONBLIZZARD_2019_10K.pdf", - "web_cb05559b91321f82.pdf", - "web_fe2b87c730235158.pdf" + "b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_95.pdf", + "web_8198931726741d61.pdf", + "web_d6ddd446e3ed89c3.pdf" ] } \ No newline at end of file diff --git a/q181/hard_negative_k4/question.json b/q181/hard_negative_k4/question.json index 44f9836769b3f66a35502bc47abcf96b77a3e6ac..14c195c18f0252c9dd625d3c4f82ff3a3bbb937f 100644 --- a/q181/hard_negative_k4/question.json +++ b/q181/hard_negative_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q181_hard_negative_k4", - "doc_id": "ACTIVISIONBLIZZARD_2019_10K.pdf", - "question": "what is R&D to asset ratio for Activision Blizzard in FY 2019? ", - "answer": "5.03%", - "answer_format": "Float", + "doc_id": "b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_95.pdf", + "question": "What are used for long-distance communication as introduced in this slide?", + "answer": "['radiowaves', 'microwaves']", + "answer_format": "List", "condition": "hard_negative", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/ACTIVISIONBLIZZARD_2019_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_cb05559b91321f82.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_fe2b87c730235158.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_f8f90e71a8e2a36d.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_04d5250ccef8c98e.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_95.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_d6ddd446e3ed89c3.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_e03b9b74d910087a.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_3cd8fd0905eadfd3.pdf" ], "pdf_names": [ - "ACTIVISIONBLIZZARD_2019_10K.pdf", - "web_cb05559b91321f82.pdf", - "web_fe2b87c730235158.pdf", - "web_f8f90e71a8e2a36d.pdf", - "web_04d5250ccef8c98e.pdf" + "b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_95.pdf", + "web_8198931726741d61.pdf", + "web_d6ddd446e3ed89c3.pdf", + "web_e03b9b74d910087a.pdf", + "web_3cd8fd0905eadfd3.pdf" ], - "n_pages": 255, - "est_tokens": 229500, + "n_pages": 139, + "est_tokens": 125100, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "hn_4.pdf" ], "original_filenames": [ - "ACTIVISIONBLIZZARD_2019_10K.pdf", - "web_cb05559b91321f82.pdf", - "web_fe2b87c730235158.pdf", - "web_f8f90e71a8e2a36d.pdf", - "web_04d5250ccef8c98e.pdf" + "b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_95.pdf", + "web_8198931726741d61.pdf", + "web_d6ddd446e3ed89c3.pdf", + "web_e03b9b74d910087a.pdf", + "web_3cd8fd0905eadfd3.pdf" ] } \ No newline at end of file diff --git a/q181/random_k2/question.json b/q181/random_k2/question.json index 6f9014cc8a933857dd8bb0b0737996b92812d99a..1911937c96047a2b16ab2c2d6682571d5fafbaf1 100644 --- a/q181/random_k2/question.json +++ b/q181/random_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q181_random_k2", - "doc_id": "ACTIVISIONBLIZZARD_2019_10K.pdf", - "question": "what is R&D to asset ratio for Activision Blizzard in FY 2019? ", - "answer": "5.03%", - "answer_format": "Float", + "doc_id": "b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_95.pdf", + "question": "What are used for long-distance communication as introduced in this slide?", + "answer": "['radiowaves', 'microwaves']", + "answer_format": "List", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/ACTIVISIONBLIZZARD_2019_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_2f9dfa8a6ca32296.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_4dcbbf87758697e3.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_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_b0b861dfece3f50d.pdf" ], "pdf_names": [ - "ACTIVISIONBLIZZARD_2019_10K.pdf", - "web_2f9dfa8a6ca32296.pdf", - "web_4dcbbf87758697e3.pdf" + "b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_95.pdf", + "web_e9f399fea7556d59.pdf", + "web_b0b861dfece3f50d.pdf" ], - "n_pages": 228, - "est_tokens": 205200, + "n_pages": 93, + "est_tokens": 83700, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "random_2.pdf" ], "original_filenames": [ - "ACTIVISIONBLIZZARD_2019_10K.pdf", - "web_2f9dfa8a6ca32296.pdf", - "web_4dcbbf87758697e3.pdf" + "b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_95.pdf", + "web_e9f399fea7556d59.pdf", + "web_b0b861dfece3f50d.pdf" ] } \ No newline at end of file diff --git a/q181/random_k4/question.json b/q181/random_k4/question.json index a78e59c5fdc790d903dd385ee2fd9e33e1025a6f..5c34a07088fd0b3bb3b9c88e5fe2864a975614e9 100644 --- a/q181/random_k4/question.json +++ b/q181/random_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q181_random_k4", - "doc_id": "ACTIVISIONBLIZZARD_2019_10K.pdf", - "question": "what is R&D to asset ratio for Activision Blizzard in FY 2019? ", - "answer": "5.03%", - "answer_format": "Float", + "doc_id": "b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_95.pdf", + "question": "What are used for long-distance communication as introduced in this slide?", + "answer": "['radiowaves', 'microwaves']", + "answer_format": "List", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/ACTIVISIONBLIZZARD_2019_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_2f9dfa8a6ca32296.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_4dcbbf87758697e3.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_28449e05c7149be2.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5906edbb3f342646.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/b3m5kaeqm2w8n4bwcesw-140602121350-phpapp02_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_b0b861dfece3f50d.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/da82ba1659f104383b88b82d6ffaa0cd0c0d177b.pdf" ], "pdf_names": [ - 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"doc_id": "COSTCO_2021_10K.pdf", - "question": "what is EBITDA for costco in FY2021?", - "answer": "8489", - "answer_format": "Float", + "doc_id": "2312.04350v3.pdf", + "question": "What rung is the second ladder of causation refer to?", + "answer": "intervention", + "answer_format": "Str", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2312.04350v3.pdf" ], "pdf_names": [ - "COSTCO_2021_10K.pdf" + "2312.04350v3.pdf" ], - "n_pages": 76, - "est_tokens": 68400, - "expected_route": "openrouter", + "n_pages": 28, + "est_tokens": 25200, + "expected_route": "azure", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "COSTCO_2021_10K.pdf" + "2312.04350v3.pdf" ] } \ No newline at end of file diff --git a/q186/hard_negative_k2/question.json b/q186/hard_negative_k2/question.json index 9f248d6ca3c5dd0f39c572b83f30b4f5eb34b336..36b154de52dc5acd4d54095cbab84f651fd84b4f 100644 --- a/q186/hard_negative_k2/question.json +++ b/q186/hard_negative_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q186_hard_negative_k2", - "doc_id": "COSTCO_2021_10K.pdf", - "question": "what is EBITDA for costco in FY2021?", - "answer": "8489", - "answer_format": "Float", + "doc_id": "2312.04350v3.pdf", + "question": "What rung is the second ladder of causation refer to?", + "answer": "intervention", + "answer_format": "Str", "condition": "hard_negative", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_21e7dba6adad35ef.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_dbe798a377955cf9.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2312.04350v3.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/431f17998f5deff27c8404248c2c4610a832799c.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/f556c55df76a9558422f00c4171900dc999c892a.pdf" ], "pdf_names": [ - "COSTCO_2021_10K.pdf", - "web_21e7dba6adad35ef.pdf", - "web_dbe798a377955cf9.pdf" + "2312.04350v3.pdf", + "431f17998f5deff27c8404248c2c4610a832799c.pdf", + "f556c55df76a9558422f00c4171900dc999c892a.pdf" ], - "n_pages": 136, - "est_tokens": 122400, + "n_pages": 61, + "est_tokens": 54900, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "hn_2.pdf" ], "original_filenames": [ - "COSTCO_2021_10K.pdf", - "web_21e7dba6adad35ef.pdf", - "web_dbe798a377955cf9.pdf" + "2312.04350v3.pdf", + "431f17998f5deff27c8404248c2c4610a832799c.pdf", + "f556c55df76a9558422f00c4171900dc999c892a.pdf" ] } \ No newline at end of file diff --git a/q186/hard_negative_k4/question.json b/q186/hard_negative_k4/question.json index 28814cb1e3644e0783fd9cc8c1ac6ea544fc3f73..8889588a8274e67b790209e11e02631061e682cb 100644 --- a/q186/hard_negative_k4/question.json +++ b/q186/hard_negative_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q186_hard_negative_k4", - "doc_id": "COSTCO_2021_10K.pdf", - 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"doc_id": "COSTCO_2021_10K.pdf", - "question": "what is EBITDA for costco in FY2021?", - "answer": "8489", - "answer_format": "Float", + "doc_id": "2312.04350v3.pdf", + "question": "What rung is the second ladder of causation refer to?", + "answer": "intervention", + "answer_format": "Str", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6e0e8e11e3b04e02.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5fd1943b49cb2cc1.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2312.04350v3.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6f67e9068ffec005.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_43df7d1ce2cae9ac.pdf" ], "pdf_names": [ - "COSTCO_2021_10K.pdf", - "web_6e0e8e11e3b04e02.pdf", - "web_5fd1943b49cb2cc1.pdf" + "2312.04350v3.pdf", + "web_6f67e9068ffec005.pdf", + "web_43df7d1ce2cae9ac.pdf" ], - "n_pages": 109, - "est_tokens": 98100, + "n_pages": 84, + "est_tokens": 75600, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "random_2.pdf" ], "original_filenames": [ - "COSTCO_2021_10K.pdf", - "web_6e0e8e11e3b04e02.pdf", - "web_5fd1943b49cb2cc1.pdf" + "2312.04350v3.pdf", + "web_6f67e9068ffec005.pdf", + "web_43df7d1ce2cae9ac.pdf" ] } \ No newline at end of file diff --git a/q186/random_k4/question.json b/q186/random_k4/question.json index 81d45dc72ecb35abed412e8905b34ca778ba8f6d..793bf917a3ba6ad8aa80bcdb0f58b1bc6960fe2a 100644 --- a/q186/random_k4/question.json +++ b/q186/random_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q186_random_k4", - "doc_id": "COSTCO_2021_10K.pdf", - "question": "what is EBITDA for costco in FY2021?", - "answer": "8489", - "answer_format": "Float", + "doc_id": "2312.04350v3.pdf", + "question": "What rung is the second ladder of causation refer to?", + "answer": "intervention", + "answer_format": "Str", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - 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"COSTCO_2021_10K.pdf", - "web_6e0e8e11e3b04e02.pdf", - "web_5fd1943b49cb2cc1.pdf", - "web_830d0aa2115caf34.pdf", - "a6fe923e92c4e416a233c149cc066999482b5b53.pdf" + "2312.04350v3.pdf", + "web_6f67e9068ffec005.pdf", + "web_43df7d1ce2cae9ac.pdf", + "web_0047db342bad4270.pdf", + "web_185a0d92e212a6ed.pdf" ], - "n_pages": 150, - "est_tokens": 135000, + "n_pages": 156, + "est_tokens": 140400, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "random_4.pdf" ], "original_filenames": [ - "COSTCO_2021_10K.pdf", - "web_6e0e8e11e3b04e02.pdf", - "web_5fd1943b49cb2cc1.pdf", - "web_830d0aa2115caf34.pdf", - "a6fe923e92c4e416a233c149cc066999482b5b53.pdf" + "2312.04350v3.pdf", + "web_6f67e9068ffec005.pdf", + "web_43df7d1ce2cae9ac.pdf", + "web_0047db342bad4270.pdf", + "web_185a0d92e212a6ed.pdf" ] } \ No newline at end of file diff --git a/q187/control_k0/question.json b/q187/control_k0/question.json index a1a84517c9f2a862b996c947eff7bc2a51b84552..fe52d19dcf1bf7a4a4d221ba6b81db678b705048 100644 --- a/q187/control_k0/question.json +++ b/q187/control_k0/question.json @@ -1,25 +1,25 @@ { "cell_id": "q187_control_k0", - "doc_id": "COSTCO_2021_10K.pdf", - "question": "what is long-term debt of Costco in FY 2021? Anwser in millions.", - "answer": "10314", - "answer_format": "Float", + "doc_id": "2312.04350v3.pdf", + "question": "Which model performs the best on Cladder?", + "answer": "GPT-4", + "answer_format": "Int", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2312.04350v3.pdf" ], "pdf_names": [ - "COSTCO_2021_10K.pdf" + "2312.04350v3.pdf" ], - "n_pages": 76, - "est_tokens": 68400, - "expected_route": "openrouter", + "n_pages": 28, + "est_tokens": 25200, + "expected_route": "azure", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "COSTCO_2021_10K.pdf" + "2312.04350v3.pdf" ] } \ No newline at end of file diff --git a/q187/hard_negative_k2/question.json b/q187/hard_negative_k2/question.json index 15875be17a03cc656a1f906eeeb86a9d5e535acd..85ad635349cd2693e97724cc63855b980bc72989 100644 --- a/q187/hard_negative_k2/question.json +++ b/q187/hard_negative_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q187_hard_negative_k2", - "doc_id": "COSTCO_2021_10K.pdf", - "question": "what is long-term debt of Costco in FY 2021? Anwser in millions.", - "answer": "10314", - "answer_format": "Float", + "doc_id": "2312.04350v3.pdf", + "question": "Which model performs the best on Cladder?", + "answer": "GPT-4", + "answer_format": "Int", "condition": "hard_negative", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_21e7dba6adad35ef.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_dbe798a377955cf9.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2312.04350v3.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/431f17998f5deff27c8404248c2c4610a832799c.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/f556c55df76a9558422f00c4171900dc999c892a.pdf" ], "pdf_names": [ - "COSTCO_2021_10K.pdf", - "web_21e7dba6adad35ef.pdf", - "web_dbe798a377955cf9.pdf" + "2312.04350v3.pdf", + "431f17998f5deff27c8404248c2c4610a832799c.pdf", + "f556c55df76a9558422f00c4171900dc999c892a.pdf" ], - "n_pages": 136, - "est_tokens": 122400, + "n_pages": 61, + "est_tokens": 54900, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "hn_2.pdf" ], "original_filenames": [ - "COSTCO_2021_10K.pdf", - "web_21e7dba6adad35ef.pdf", - "web_dbe798a377955cf9.pdf" + "2312.04350v3.pdf", + "431f17998f5deff27c8404248c2c4610a832799c.pdf", + "f556c55df76a9558422f00c4171900dc999c892a.pdf" ] } \ No newline at end of file diff --git a/q187/hard_negative_k4/question.json b/q187/hard_negative_k4/question.json index 30b5fea595edca0cbe95bee2f1110d06115af72b..7cf26691a6679f12dd808fc68baddbb75c75ce6b 100644 --- a/q187/hard_negative_k4/question.json +++ b/q187/hard_negative_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q187_hard_negative_k4", - "doc_id": "COSTCO_2021_10K.pdf", - "question": "what is long-term debt of Costco in FY 2021? Anwser in millions.", - "answer": "10314", - "answer_format": "Float", + "doc_id": "2312.04350v3.pdf", + "question": "Which model performs the best on Cladder?", + "answer": "GPT-4", + "answer_format": "Int", "condition": "hard_negative", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_21e7dba6adad35ef.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_dbe798a377955cf9.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_1a2336a3f9985b16.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_2f06cd941a2ea88d.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2312.04350v3.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/431f17998f5deff27c8404248c2c4610a832799c.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/f556c55df76a9558422f00c4171900dc999c892a.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/e32b54014211391dc739d7b7e20698783f620d5d.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/88d4b9368dcf48f2b3e788da0a5f10e87e5a3361.pdf" ], "pdf_names": [ - "COSTCO_2021_10K.pdf", - "web_21e7dba6adad35ef.pdf", - "web_dbe798a377955cf9.pdf", - "web_1a2336a3f9985b16.pdf", - "web_2f06cd941a2ea88d.pdf" + "2312.04350v3.pdf", + "431f17998f5deff27c8404248c2c4610a832799c.pdf", + "f556c55df76a9558422f00c4171900dc999c892a.pdf", + "e32b54014211391dc739d7b7e20698783f620d5d.pdf", + "88d4b9368dcf48f2b3e788da0a5f10e87e5a3361.pdf" ], - "n_pages": 196, - "est_tokens": 176400, + "n_pages": 80, + "est_tokens": 72000, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "hn_4.pdf" ], "original_filenames": [ - "COSTCO_2021_10K.pdf", - "web_21e7dba6adad35ef.pdf", - "web_dbe798a377955cf9.pdf", - "web_1a2336a3f9985b16.pdf", - "web_2f06cd941a2ea88d.pdf" + "2312.04350v3.pdf", + "431f17998f5deff27c8404248c2c4610a832799c.pdf", + "f556c55df76a9558422f00c4171900dc999c892a.pdf", + "e32b54014211391dc739d7b7e20698783f620d5d.pdf", + "88d4b9368dcf48f2b3e788da0a5f10e87e5a3361.pdf" ] } \ No newline at end of file diff --git a/q187/random_k2/question.json b/q187/random_k2/question.json index 766577b990daaf42cdb0d749e3bd339ef9af7ed5..d6c1d7ad4c3007fc7480f15fe2d9ab26e6bd055e 100644 --- a/q187/random_k2/question.json +++ b/q187/random_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q187_random_k2", - "doc_id": "COSTCO_2021_10K.pdf", - "question": "what is long-term debt of Costco in FY 2021? Anwser in millions.", - "answer": "10314", - "answer_format": "Float", + "doc_id": "2312.04350v3.pdf", + "question": "Which model performs the best on Cladder?", + "answer": "GPT-4", + "answer_format": "Int", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6e0e8e11e3b04e02.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5fd1943b49cb2cc1.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2312.04350v3.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6f67e9068ffec005.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_43df7d1ce2cae9ac.pdf" ], "pdf_names": [ - "COSTCO_2021_10K.pdf", - "web_6e0e8e11e3b04e02.pdf", - "web_5fd1943b49cb2cc1.pdf" + "2312.04350v3.pdf", + "web_6f67e9068ffec005.pdf", + "web_43df7d1ce2cae9ac.pdf" ], - "n_pages": 109, - "est_tokens": 98100, + "n_pages": 84, + "est_tokens": 75600, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "random_2.pdf" ], "original_filenames": [ - "COSTCO_2021_10K.pdf", - "web_6e0e8e11e3b04e02.pdf", - "web_5fd1943b49cb2cc1.pdf" + "2312.04350v3.pdf", + "web_6f67e9068ffec005.pdf", + "web_43df7d1ce2cae9ac.pdf" ] } \ No newline at end of file diff --git a/q187/random_k4/question.json b/q187/random_k4/question.json index 1e4dd69e8afa84c18d2e472cd78e11b884f90eab..831df9b2f52e69c51b088f4a33cec481f37d925f 100644 --- a/q187/random_k4/question.json +++ b/q187/random_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q187_random_k4", - "doc_id": "COSTCO_2021_10K.pdf", - "question": "what is long-term debt of Costco in FY 2021? Anwser in millions.", - "answer": "10314", - "answer_format": "Float", + "doc_id": "2312.04350v3.pdf", + "question": "Which model performs the best on Cladder?", + "answer": "GPT-4", + "answer_format": "Int", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6e0e8e11e3b04e02.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5fd1943b49cb2cc1.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_830d0aa2115caf34.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/a6fe923e92c4e416a233c149cc066999482b5b53.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2312.04350v3.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6f67e9068ffec005.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_43df7d1ce2cae9ac.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_0047db342bad4270.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_185a0d92e212a6ed.pdf" ], "pdf_names": [ - 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"doc_id": "COSTCO_2021_10K.pdf", - "question": "what is total debt to EBITDA ratio of COSTCO in FY2021?round your answer to three decimal places.", - "answer": "1.344", - "answer_format": "Float", + "doc_id": "2305.14160v4.pdf", + "question": "Using anchor-only context compression, how much can GPT2-XL speed up on AGNews?", + "answer": "2.5x", + "answer_format": "Str", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6e0e8e11e3b04e02.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5fd1943b49cb2cc1.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2305.14160v4.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_ab2f104fb9b1c2fe.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6a55c713826db217.pdf" ], "pdf_names": [ - "COSTCO_2021_10K.pdf", - "web_6e0e8e11e3b04e02.pdf", - "web_5fd1943b49cb2cc1.pdf" + "2305.14160v4.pdf", + "web_ab2f104fb9b1c2fe.pdf", + "web_6a55c713826db217.pdf" ], - "n_pages": 109, - "est_tokens": 98100, + "n_pages": 69, + "est_tokens": 62100, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "random_2.pdf" ], "original_filenames": [ - "COSTCO_2021_10K.pdf", - "web_6e0e8e11e3b04e02.pdf", - "web_5fd1943b49cb2cc1.pdf" + "2305.14160v4.pdf", + "web_ab2f104fb9b1c2fe.pdf", + "web_6a55c713826db217.pdf" ] } \ No newline at end of file diff --git a/q189/random_k4/question.json b/q189/random_k4/question.json index 71ea969999bdb540073b99b7ae7c74c80a0dbc0c..0550f6e60cd444fe249b8bed47cac3e7a5b73889 100644 --- a/q189/random_k4/question.json +++ b/q189/random_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q189_random_k4", - "doc_id": "COSTCO_2021_10K.pdf", - "question": "what is total debt to EBITDA ratio of COSTCO in FY2021?round your answer to three decimal places.", - "answer": "1.344", - "answer_format": "Float", + "doc_id": "2305.14160v4.pdf", + "question": "Using anchor-only context compression, how much can GPT2-XL speed up on AGNews?", + "answer": "2.5x", + "answer_format": "Str", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6e0e8e11e3b04e02.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5fd1943b49cb2cc1.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_830d0aa2115caf34.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/a6fe923e92c4e416a233c149cc066999482b5b53.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2305.14160v4.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_ab2f104fb9b1c2fe.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6a55c713826db217.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_0592b193cfe894c0.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_99fc489414634c09.pdf" ], "pdf_names": [ - "COSTCO_2021_10K.pdf", - "web_6e0e8e11e3b04e02.pdf", - "web_5fd1943b49cb2cc1.pdf", - "web_830d0aa2115caf34.pdf", - "a6fe923e92c4e416a233c149cc066999482b5b53.pdf" + "2305.14160v4.pdf", + "web_ab2f104fb9b1c2fe.pdf", + "web_6a55c713826db217.pdf", + "web_0592b193cfe894c0.pdf", + "web_99fc489414634c09.pdf" ], - "n_pages": 150, - "est_tokens": 135000, + "n_pages": 91, + "est_tokens": 81900, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "random_4.pdf" ], "original_filenames": [ - "COSTCO_2021_10K.pdf", - "web_6e0e8e11e3b04e02.pdf", - "web_5fd1943b49cb2cc1.pdf", - "web_830d0aa2115caf34.pdf", - "a6fe923e92c4e416a233c149cc066999482b5b53.pdf" + "2305.14160v4.pdf", + "web_ab2f104fb9b1c2fe.pdf", + "web_6a55c713826db217.pdf", + "web_0592b193cfe894c0.pdf", + "web_99fc489414634c09.pdf" ] } \ No newline at end of file diff --git a/q205/control_k0/question.json b/q205/control_k0/question.json index cb762b286fed8a7c8252dac6237e4ab9d3457c8d..cba04acaf3a5f3f8dd0a3f39d31e14f9cb698f12 100644 --- a/q205/control_k0/question.json +++ b/q205/control_k0/question.json @@ -1,25 +1,25 @@ { "cell_id": "q205_control_k0", - "doc_id": "NETFLIX_2015_10K.pdf", - "question": "what is advertsing expense to sales ratio of Neflix in FY 2015? Round your answer to three decimal places.", - "answer": "0.105", + "doc_id": "COSTCO_2021_10K.pdf", + "question": "what is total debt to EBITDA ratio of COSTCO in FY2021?round your answer to three decimal places.", + "answer": "1.344", "answer_format": "Float", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NETFLIX_2015_10K.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf" ], "pdf_names": [ - "NETFLIX_2015_10K.pdf" + "COSTCO_2021_10K.pdf" ], - "n_pages": 72, - "est_tokens": 64800, + "n_pages": 76, + "est_tokens": 68400, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "NETFLIX_2015_10K.pdf" + "COSTCO_2021_10K.pdf" ] } \ No newline at end of file diff --git a/q205/hard_negative_k2/question.json b/q205/hard_negative_k2/question.json index 7d7fd7599607fd2369c906412d003a5632a05e61..0600a3dfe79c02ad3e6d974dc00a089477132159 100644 --- a/q205/hard_negative_k2/question.json +++ b/q205/hard_negative_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q205_hard_negative_k2", - "doc_id": "NETFLIX_2015_10K.pdf", - "question": "what is advertsing expense to sales ratio of Neflix in FY 2015? Round your answer to three decimal places.", - "answer": "0.105", + "doc_id": "COSTCO_2021_10K.pdf", + "question": "what is total debt to EBITDA ratio of COSTCO in FY2021?round your answer to three decimal places.", + "answer": "1.344", "answer_format": "Float", "condition": "hard_negative", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NETFLIX_2015_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_36019fded78cb9cf.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_f5c6c7f633f7f239.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_21e7dba6adad35ef.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_dbe798a377955cf9.pdf" ], "pdf_names": [ - "NETFLIX_2015_10K.pdf", - "web_36019fded78cb9cf.pdf", - "web_f5c6c7f633f7f239.pdf" + "COSTCO_2021_10K.pdf", + "web_21e7dba6adad35ef.pdf", + "web_dbe798a377955cf9.pdf" ], - "n_pages": 91, - "est_tokens": 81900, + "n_pages": 136, + "est_tokens": 122400, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "hn_2.pdf" ], "original_filenames": [ - "NETFLIX_2015_10K.pdf", - "web_36019fded78cb9cf.pdf", - "web_f5c6c7f633f7f239.pdf" + "COSTCO_2021_10K.pdf", + "web_21e7dba6adad35ef.pdf", + "web_dbe798a377955cf9.pdf" ] } \ No newline at end of file diff --git a/q205/hard_negative_k4/question.json b/q205/hard_negative_k4/question.json index 2180b9e435edbd557462d9804a19f86c43c5735d..d3b947acc53b483c6daa56ffecc5e4924e2ec2d7 100644 --- a/q205/hard_negative_k4/question.json +++ b/q205/hard_negative_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q205_hard_negative_k4", - "doc_id": "NETFLIX_2015_10K.pdf", - "question": "what is advertsing expense to sales ratio of Neflix in FY 2015? Round your answer to three decimal places.", - "answer": "0.105", + "doc_id": "COSTCO_2021_10K.pdf", + "question": "what is total debt to EBITDA ratio of COSTCO in FY2021?round your answer to three decimal places.", + "answer": "1.344", "answer_format": "Float", "condition": "hard_negative", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NETFLIX_2015_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_36019fded78cb9cf.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_f5c6c7f633f7f239.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_0cf212458514abec.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_2aea13e00a3747ab.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_21e7dba6adad35ef.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_dbe798a377955cf9.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_1a2336a3f9985b16.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_2f06cd941a2ea88d.pdf" ], "pdf_names": [ - "NETFLIX_2015_10K.pdf", - "web_36019fded78cb9cf.pdf", - "web_f5c6c7f633f7f239.pdf", - "web_0cf212458514abec.pdf", - "web_2aea13e00a3747ab.pdf" + "COSTCO_2021_10K.pdf", + "web_21e7dba6adad35ef.pdf", + "web_dbe798a377955cf9.pdf", + "web_1a2336a3f9985b16.pdf", + "web_2f06cd941a2ea88d.pdf" ], - "n_pages": 114, - "est_tokens": 102600, + "n_pages": 196, + "est_tokens": 176400, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "hn_4.pdf" ], "original_filenames": [ - "NETFLIX_2015_10K.pdf", - "web_36019fded78cb9cf.pdf", - "web_f5c6c7f633f7f239.pdf", - "web_0cf212458514abec.pdf", - "web_2aea13e00a3747ab.pdf" + "COSTCO_2021_10K.pdf", + "web_21e7dba6adad35ef.pdf", + "web_dbe798a377955cf9.pdf", + "web_1a2336a3f9985b16.pdf", + "web_2f06cd941a2ea88d.pdf" ] } \ No newline at end of file diff --git a/q205/random_k2/question.json b/q205/random_k2/question.json index c96aa7af6ff12bb02aedcd3c7489aafdac2314fb..0796a2a69ba481b6e3039a86f3c41a9f136d7bea 100644 --- a/q205/random_k2/question.json +++ b/q205/random_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q205_random_k2", - "doc_id": "NETFLIX_2015_10K.pdf", - "question": "what is advertsing expense to sales ratio of Neflix in FY 2015? Round your answer to three decimal places.", - "answer": "0.105", + "doc_id": "COSTCO_2021_10K.pdf", + "question": "what is total debt to EBITDA ratio of COSTCO in FY2021?round your answer to three decimal places.", + "answer": "1.344", "answer_format": "Float", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NETFLIX_2015_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_f7c8a4fb24ac7362.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_bf09a64e7d517c98.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_476fa6510ac4328b.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ca82e89a96a0fe65.pdf" ], "pdf_names": [ - "NETFLIX_2015_10K.pdf", - "web_f7c8a4fb24ac7362.pdf", - "web_bf09a64e7d517c98.pdf" + "COSTCO_2021_10K.pdf", + "web_476fa6510ac4328b.pdf", + "web_ca82e89a96a0fe65.pdf" ], - "n_pages": 102, - "est_tokens": 91800, + "n_pages": 120, + "est_tokens": 108000, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "random_2.pdf" ], "original_filenames": [ - "NETFLIX_2015_10K.pdf", - "web_f7c8a4fb24ac7362.pdf", - "web_bf09a64e7d517c98.pdf" + "COSTCO_2021_10K.pdf", + "web_476fa6510ac4328b.pdf", + "web_ca82e89a96a0fe65.pdf" ] } \ No newline at end of file diff --git a/q205/random_k4/question.json b/q205/random_k4/question.json index 0947665502591ceacf1d434b4099ceec3951967f..45b9036c8ce85d436bf8464df40514c31513d158 100644 --- a/q205/random_k4/question.json +++ b/q205/random_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q205_random_k4", - "doc_id": "NETFLIX_2015_10K.pdf", - "question": "what is advertsing expense to sales ratio of Neflix in FY 2015? Round your answer to three decimal places.", - "answer": "0.105", + "doc_id": "COSTCO_2021_10K.pdf", + "question": "what is total debt to EBITDA ratio of COSTCO in FY2021?round your answer to three decimal places.", + "answer": "1.344", "answer_format": "Float", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NETFLIX_2015_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_f7c8a4fb24ac7362.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_bf09a64e7d517c98.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_830d0aa2115caf34.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_54b7670fb9d9c193.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_476fa6510ac4328b.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ca82e89a96a0fe65.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_a290dd87b6ce3b94.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6e0e8e11e3b04e02.pdf" ], "pdf_names": [ - "NETFLIX_2015_10K.pdf", - "web_f7c8a4fb24ac7362.pdf", - "web_bf09a64e7d517c98.pdf", - "web_830d0aa2115caf34.pdf", - "web_54b7670fb9d9c193.pdf" + "COSTCO_2021_10K.pdf", + "web_476fa6510ac4328b.pdf", + "web_ca82e89a96a0fe65.pdf", + "web_a290dd87b6ce3b94.pdf", + "web_6e0e8e11e3b04e02.pdf" ], - "n_pages": 167, - "est_tokens": 150300, + "n_pages": 152, + "est_tokens": 136800, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "random_4.pdf" ], "original_filenames": [ - "NETFLIX_2015_10K.pdf", - "web_f7c8a4fb24ac7362.pdf", - "web_bf09a64e7d517c98.pdf", - "web_830d0aa2115caf34.pdf", - "web_54b7670fb9d9c193.pdf" + "COSTCO_2021_10K.pdf", + "web_476fa6510ac4328b.pdf", + "web_ca82e89a96a0fe65.pdf", + "web_a290dd87b6ce3b94.pdf", + "web_6e0e8e11e3b04e02.pdf" ] } \ No newline at end of file diff --git a/q21/random_k2/question.json b/q21/random_k2/question.json index dafaa41475f50039f4f4ed09300038d45338694c..755d9c601b44f2c2f61161cbe0f2ea45d228beb7 100644 --- a/q21/random_k2/question.json +++ b/q21/random_k2/question.json @@ -9,16 +9,16 @@ "source_position": "first", "pdf_paths": [ "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/watch_d.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_4df9d7e2455de3a4.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_449e1fe2966b96f2.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5ba1faa4f8b60c76.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/8479d6a14809b60b1850209bf7f393998a818837.pdf" ], "pdf_names": [ "watch_d.pdf", - "web_4df9d7e2455de3a4.pdf", - "web_449e1fe2966b96f2.pdf" + "web_5ba1faa4f8b60c76.pdf", + "8479d6a14809b60b1850209bf7f393998a818837.pdf" ], - "n_pages": 61, - "est_tokens": 54900, + "n_pages": 83, + "est_tokens": 74700, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -27,7 +27,7 @@ ], "original_filenames": [ "watch_d.pdf", - "web_4df9d7e2455de3a4.pdf", - "web_449e1fe2966b96f2.pdf" + "web_5ba1faa4f8b60c76.pdf", + "8479d6a14809b60b1850209bf7f393998a818837.pdf" ] } \ No newline at end of file diff --git a/q21/random_k4/question.json b/q21/random_k4/question.json index fe9fea178f20ebab31968741fc4776e3fe26bd4f..055e30e9338c728705aee703f9db382223a6b2d2 100644 --- a/q21/random_k4/question.json +++ b/q21/random_k4/question.json @@ -9,20 +9,20 @@ "source_position": "first", "pdf_paths": [ "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/watch_d.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_4df9d7e2455de3a4.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_449e1fe2966b96f2.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_eb48e5fd4ea89aaf.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_adacd12c1dd9624f.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5ba1faa4f8b60c76.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/8479d6a14809b60b1850209bf7f393998a818837.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_81710007d7992b9d.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_b4009fe9cbb76c2a.pdf" ], "pdf_names": [ "watch_d.pdf", - "web_4df9d7e2455de3a4.pdf", - "web_449e1fe2966b96f2.pdf", - "web_eb48e5fd4ea89aaf.pdf", - "web_adacd12c1dd9624f.pdf" + "web_5ba1faa4f8b60c76.pdf", + "8479d6a14809b60b1850209bf7f393998a818837.pdf", + "web_81710007d7992b9d.pdf", + "web_b4009fe9cbb76c2a.pdf" ], - "n_pages": 84, - "est_tokens": 75600, + "n_pages": 111, + "est_tokens": 99900, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -33,9 +33,9 @@ ], "original_filenames": [ "watch_d.pdf", - "web_4df9d7e2455de3a4.pdf", - "web_449e1fe2966b96f2.pdf", - "web_eb48e5fd4ea89aaf.pdf", - "web_adacd12c1dd9624f.pdf" + "web_5ba1faa4f8b60c76.pdf", + "8479d6a14809b60b1850209bf7f393998a818837.pdf", + "web_81710007d7992b9d.pdf", + "web_b4009fe9cbb76c2a.pdf" ] } \ No newline at end of file diff --git a/q233/control_k0/question.json b/q233/control_k0/question.json index 97a6a2f3c9edd02e0d7bc1afddefd0c6ff07b5f6..96c02664fef9098cb012b5b6ba8e66d72f8c2a70 100644 --- a/q233/control_k0/question.json +++ b/q233/control_k0/question.json @@ -1,25 +1,25 @@ { "cell_id": "q233_control_k0", - "doc_id": "AMAZON_2017_10K.pdf", - "question": "what amount is liabilities for unredeemed gift cards in FY2017 for Amazon? Answer in billion.", - "answer": "3.0", + "doc_id": "NIKE_2021_10K.pdf", + "question": "What is current ratio in FY2021 for Nike? Round your answer to two decimal places.", + "answer": " 2.72", "answer_format": "Float", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf" ], "pdf_names": [ - "AMAZON_2017_10K.pdf" + "NIKE_2021_10K.pdf" ], - "n_pages": 85, - "est_tokens": 76500, + "n_pages": 109, + "est_tokens": 98100, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "AMAZON_2017_10K.pdf" + "NIKE_2021_10K.pdf" ] } \ No newline at end of file diff --git a/q233/hard_negative_k2/question.json b/q233/hard_negative_k2/question.json index 9d9f16fbbbad1ffceafd7819ed1b7bf294c015d2..7f948b255c7d7b6e570633100839a3deebd9bb98 100644 --- a/q233/hard_negative_k2/question.json +++ b/q233/hard_negative_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q233_hard_negative_k2", - "doc_id": "AMAZON_2017_10K.pdf", - "question": "what amount is liabilities for unredeemed gift cards in FY2017 for Amazon? Answer in billion.", - "answer": "3.0", + "doc_id": "NIKE_2021_10K.pdf", + "question": "What is current ratio in FY2021 for Nike? Round your answer to two decimal places.", + "answer": " 2.72", "answer_format": "Float", "condition": "hard_negative", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_07c5b10186e9ac43.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_be38ac4d8053c697.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_f7c8a4fb24ac7362.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_74331e85a10815bd.pdf" ], "pdf_names": [ - "AMAZON_2017_10K.pdf", - "web_07c5b10186e9ac43.pdf", - "web_be38ac4d8053c697.pdf" + "NIKE_2021_10K.pdf", + "web_f7c8a4fb24ac7362.pdf", + "web_74331e85a10815bd.pdf" ], - "n_pages": 167, - "est_tokens": 150300, + "n_pages": 131, + "est_tokens": 117900, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "hn_2.pdf" ], "original_filenames": [ - "AMAZON_2017_10K.pdf", - "web_07c5b10186e9ac43.pdf", - "web_be38ac4d8053c697.pdf" + "NIKE_2021_10K.pdf", + "web_f7c8a4fb24ac7362.pdf", + "web_74331e85a10815bd.pdf" ] } \ No newline at end of file diff --git a/q233/hard_negative_k4/question.json b/q233/hard_negative_k4/question.json index 1fab87a081f47ff6134a32cb2d761bfa7677c180..be2fe24d51dc3dbb0a323324e26b2dcad597e126 100644 --- a/q233/hard_negative_k4/question.json +++ b/q233/hard_negative_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q233_hard_negative_k4", - "doc_id": "AMAZON_2017_10K.pdf", - "question": "what amount is liabilities for unredeemed gift cards in FY2017 for Amazon? Answer in billion.", - "answer": "3.0", + "doc_id": "NIKE_2021_10K.pdf", + "question": "What is current ratio in FY2021 for Nike? Round your answer to two decimal places.", + "answer": " 2.72", "answer_format": "Float", "condition": "hard_negative", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_07c5b10186e9ac43.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_be38ac4d8053c697.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_1758317d02bf72f3.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ca39b8721f6d1255.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_f7c8a4fb24ac7362.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_74331e85a10815bd.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_c53505eb5c4f8264.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_b098652d59ada239.pdf" ], "pdf_names": [ - "AMAZON_2017_10K.pdf", - "web_07c5b10186e9ac43.pdf", - "web_be38ac4d8053c697.pdf", - "web_1758317d02bf72f3.pdf", - "web_ca39b8721f6d1255.pdf" + "NIKE_2021_10K.pdf", + "web_f7c8a4fb24ac7362.pdf", + "web_74331e85a10815bd.pdf", + "web_c53505eb5c4f8264.pdf", + "web_b098652d59ada239.pdf" ], - "n_pages": 213, - "est_tokens": 191700, + "n_pages": 176, + "est_tokens": 158400, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "hn_4.pdf" ], "original_filenames": [ - "AMAZON_2017_10K.pdf", - "web_07c5b10186e9ac43.pdf", - "web_be38ac4d8053c697.pdf", - "web_1758317d02bf72f3.pdf", - "web_ca39b8721f6d1255.pdf" + "NIKE_2021_10K.pdf", + "web_f7c8a4fb24ac7362.pdf", + "web_74331e85a10815bd.pdf", + "web_c53505eb5c4f8264.pdf", + "web_b098652d59ada239.pdf" ] } \ No newline at end of file diff --git a/q233/random_k2/question.json b/q233/random_k2/question.json index 21357fc27db42c72686b4cefb30bb1fbe6723189..6cf51484a93e75d3ff1f492555f5de4afa63959b 100644 --- a/q233/random_k2/question.json +++ b/q233/random_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q233_random_k2", - "doc_id": "AMAZON_2017_10K.pdf", - "question": "what amount is liabilities for unredeemed gift cards in FY2017 for Amazon? Answer in billion.", - "answer": "3.0", + "doc_id": "NIKE_2021_10K.pdf", + "question": "What is current ratio in FY2021 for Nike? Round your answer to two decimal places.", + "answer": " 2.72", "answer_format": "Float", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_8c326d96ddd981b2.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/176f3f770cd32f4ad62a6354b45cad4e425d6146.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6019e7c0934ca3b6.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_9942a44c5f6232cc.pdf" ], "pdf_names": [ - "AMAZON_2017_10K.pdf", - "web_8c326d96ddd981b2.pdf", - "176f3f770cd32f4ad62a6354b45cad4e425d6146.pdf" + "NIKE_2021_10K.pdf", + "web_6019e7c0934ca3b6.pdf", + "web_9942a44c5f6232cc.pdf" ], - "n_pages": 122, - "est_tokens": 109800, + "n_pages": 135, + "est_tokens": 121500, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "random_2.pdf" ], "original_filenames": [ - "AMAZON_2017_10K.pdf", - "web_8c326d96ddd981b2.pdf", - "176f3f770cd32f4ad62a6354b45cad4e425d6146.pdf" + "NIKE_2021_10K.pdf", + "web_6019e7c0934ca3b6.pdf", + "web_9942a44c5f6232cc.pdf" ] } \ No newline at end of file diff --git a/q233/random_k4/question.json b/q233/random_k4/question.json index 8fff8db798401d55d7e5cb45a303d34fe50fa345..1ca2f0ce8865459aeb9c039c759057a864e68c1f 100644 --- a/q233/random_k4/question.json +++ b/q233/random_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q233_random_k4", - "doc_id": "AMAZON_2017_10K.pdf", - "question": "what amount is liabilities for unredeemed gift cards in FY2017 for Amazon? Answer in billion.", - "answer": "3.0", + "doc_id": "NIKE_2021_10K.pdf", + "question": "What is current ratio in FY2021 for Nike? Round your answer to two decimal places.", + "answer": " 2.72", "answer_format": "Float", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_8c326d96ddd981b2.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/176f3f770cd32f4ad62a6354b45cad4e425d6146.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_c83d6885217d96f0.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6a55c713826db217.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6019e7c0934ca3b6.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_9942a44c5f6232cc.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_8617c40cc2c5d6aa.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5b8076d084922575.pdf" ], "pdf_names": [ - "AMAZON_2017_10K.pdf", - "web_8c326d96ddd981b2.pdf", - "176f3f770cd32f4ad62a6354b45cad4e425d6146.pdf", - "web_c83d6885217d96f0.pdf", - "web_6a55c713826db217.pdf" + "NIKE_2021_10K.pdf", + "web_6019e7c0934ca3b6.pdf", + "web_9942a44c5f6232cc.pdf", + "web_8617c40cc2c5d6aa.pdf", + "web_5b8076d084922575.pdf" ], - "n_pages": 160, - "est_tokens": 144000, + "n_pages": 162, + "est_tokens": 145800, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "random_4.pdf" ], "original_filenames": [ - "AMAZON_2017_10K.pdf", - "web_8c326d96ddd981b2.pdf", - "176f3f770cd32f4ad62a6354b45cad4e425d6146.pdf", - "web_c83d6885217d96f0.pdf", - "web_6a55c713826db217.pdf" + "NIKE_2021_10K.pdf", + "web_6019e7c0934ca3b6.pdf", + "web_9942a44c5f6232cc.pdf", + "web_8617c40cc2c5d6aa.pdf", + "web_5b8076d084922575.pdf" ] } \ No newline at end of file diff --git a/q234/control_k0/question.json b/q234/control_k0/question.json index f162467c0b64435c5e7903ec8901b17abc1e0ce3..518dc88888cb5ca2c83d8bce5fa4485c469ae1ea 100644 --- a/q234/control_k0/question.json +++ b/q234/control_k0/question.json @@ -1,25 +1,25 @@ { "cell_id": "q234_control_k0", - "doc_id": "AMAZON_2017_10K.pdf", - "question": "what is depreciation expense on property and equipment in 2017 for Amazon? Answer in billion", - "answer": "8.8", + "doc_id": "NIKE_2021_10K.pdf", + "question": "What is cash ratio in FY2021 for Nike? Round your answer to two decimal places.\n\n ", + "answer": "1.02", "answer_format": "Float", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf" ], "pdf_names": [ - "AMAZON_2017_10K.pdf" + "NIKE_2021_10K.pdf" ], - "n_pages": 85, - "est_tokens": 76500, + "n_pages": 109, + "est_tokens": 98100, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "AMAZON_2017_10K.pdf" + "NIKE_2021_10K.pdf" ] } \ No newline at end of file diff --git a/q234/hard_negative_k2/question.json b/q234/hard_negative_k2/question.json index 2936b02705cff7423f3d083ddc52cacc2cc1bb8a..5f05d7ad7742f037e7b6dd23dcff5a908e20b765 100644 --- a/q234/hard_negative_k2/question.json +++ b/q234/hard_negative_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q234_hard_negative_k2", - "doc_id": "AMAZON_2017_10K.pdf", - "question": "what is depreciation expense on property and equipment in 2017 for Amazon? Answer in billion", - "answer": "8.8", + "doc_id": "NIKE_2021_10K.pdf", + "question": "What is cash ratio in FY2021 for Nike? Round your answer to two decimal places.\n\n ", + "answer": "1.02", "answer_format": "Float", "condition": "hard_negative", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_07c5b10186e9ac43.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_be38ac4d8053c697.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_f7c8a4fb24ac7362.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_74331e85a10815bd.pdf" ], "pdf_names": [ - "AMAZON_2017_10K.pdf", - "web_07c5b10186e9ac43.pdf", - "web_be38ac4d8053c697.pdf" + "NIKE_2021_10K.pdf", + "web_f7c8a4fb24ac7362.pdf", + "web_74331e85a10815bd.pdf" ], - "n_pages": 167, - "est_tokens": 150300, + "n_pages": 131, + "est_tokens": 117900, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "hn_2.pdf" ], "original_filenames": [ - "AMAZON_2017_10K.pdf", - "web_07c5b10186e9ac43.pdf", - "web_be38ac4d8053c697.pdf" + "NIKE_2021_10K.pdf", + "web_f7c8a4fb24ac7362.pdf", + "web_74331e85a10815bd.pdf" ] } \ No newline at end of file diff --git a/q234/hard_negative_k4/question.json b/q234/hard_negative_k4/question.json index ed86d1b4c70b23070b257a728217b4462970068e..1c68f5f20cf5b5edabf2a9e6a50385def70cf0af 100644 --- a/q234/hard_negative_k4/question.json +++ b/q234/hard_negative_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q234_hard_negative_k4", - "doc_id": "AMAZON_2017_10K.pdf", - "question": "what is depreciation expense on property and equipment in 2017 for Amazon? Answer in billion", - "answer": "8.8", + "doc_id": "NIKE_2021_10K.pdf", + "question": "What is cash ratio in FY2021 for Nike? Round your answer to two decimal places.\n\n ", + "answer": "1.02", "answer_format": "Float", "condition": "hard_negative", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_07c5b10186e9ac43.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_be38ac4d8053c697.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_1758317d02bf72f3.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ca39b8721f6d1255.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_f7c8a4fb24ac7362.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_74331e85a10815bd.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_c53505eb5c4f8264.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_b098652d59ada239.pdf" ], "pdf_names": [ - "AMAZON_2017_10K.pdf", - "web_07c5b10186e9ac43.pdf", - "web_be38ac4d8053c697.pdf", - "web_1758317d02bf72f3.pdf", - "web_ca39b8721f6d1255.pdf" + "NIKE_2021_10K.pdf", + "web_f7c8a4fb24ac7362.pdf", + "web_74331e85a10815bd.pdf", + "web_c53505eb5c4f8264.pdf", + "web_b098652d59ada239.pdf" ], - "n_pages": 213, - "est_tokens": 191700, + "n_pages": 176, + "est_tokens": 158400, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "hn_4.pdf" ], "original_filenames": [ - "AMAZON_2017_10K.pdf", - "web_07c5b10186e9ac43.pdf", - "web_be38ac4d8053c697.pdf", - "web_1758317d02bf72f3.pdf", - "web_ca39b8721f6d1255.pdf" + "NIKE_2021_10K.pdf", + "web_f7c8a4fb24ac7362.pdf", + "web_74331e85a10815bd.pdf", + "web_c53505eb5c4f8264.pdf", + "web_b098652d59ada239.pdf" ] } \ No newline at end of file diff --git a/q234/random_k2/question.json b/q234/random_k2/question.json index 640b8ffecab50eab2bb13ba6c341cb5b192cbdab..b3243b51cf2f7517a545ad4c3fffaaf1ffcba2eb 100644 --- a/q234/random_k2/question.json +++ b/q234/random_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q234_random_k2", - "doc_id": "AMAZON_2017_10K.pdf", - "question": "what is depreciation expense on property and equipment in 2017 for Amazon? Answer in billion", - "answer": "8.8", + "doc_id": "NIKE_2021_10K.pdf", + "question": "What is cash ratio in FY2021 for Nike? Round your answer to two decimal places.\n\n ", + "answer": "1.02", "answer_format": "Float", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_8c326d96ddd981b2.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/176f3f770cd32f4ad62a6354b45cad4e425d6146.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6019e7c0934ca3b6.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_9942a44c5f6232cc.pdf" ], "pdf_names": [ - "AMAZON_2017_10K.pdf", - "web_8c326d96ddd981b2.pdf", - "176f3f770cd32f4ad62a6354b45cad4e425d6146.pdf" + "NIKE_2021_10K.pdf", + "web_6019e7c0934ca3b6.pdf", + "web_9942a44c5f6232cc.pdf" ], - "n_pages": 122, - "est_tokens": 109800, + "n_pages": 135, + "est_tokens": 121500, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "random_2.pdf" ], "original_filenames": [ - "AMAZON_2017_10K.pdf", - "web_8c326d96ddd981b2.pdf", - "176f3f770cd32f4ad62a6354b45cad4e425d6146.pdf" + "NIKE_2021_10K.pdf", + "web_6019e7c0934ca3b6.pdf", + "web_9942a44c5f6232cc.pdf" ] } \ No newline at end of file diff --git a/q234/random_k4/question.json b/q234/random_k4/question.json index d3ba9a1ee551286c1bbd6e01c927de59591e5e5d..0a59f33dfefd18fd7fb87a526379018a2fb848cf 100644 --- a/q234/random_k4/question.json +++ b/q234/random_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q234_random_k4", - "doc_id": "AMAZON_2017_10K.pdf", - "question": "what is depreciation expense on property and equipment in 2017 for Amazon? Answer in billion", - "answer": "8.8", + "doc_id": "NIKE_2021_10K.pdf", + "question": "What is cash ratio in FY2021 for Nike? Round your answer to two decimal places.\n\n ", + "answer": "1.02", "answer_format": "Float", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_8c326d96ddd981b2.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/176f3f770cd32f4ad62a6354b45cad4e425d6146.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_c83d6885217d96f0.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6a55c713826db217.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6019e7c0934ca3b6.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_9942a44c5f6232cc.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_8617c40cc2c5d6aa.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5b8076d084922575.pdf" ], "pdf_names": [ - "AMAZON_2017_10K.pdf", - "web_8c326d96ddd981b2.pdf", - "176f3f770cd32f4ad62a6354b45cad4e425d6146.pdf", - "web_c83d6885217d96f0.pdf", - "web_6a55c713826db217.pdf" + "NIKE_2021_10K.pdf", + "web_6019e7c0934ca3b6.pdf", + "web_9942a44c5f6232cc.pdf", + "web_8617c40cc2c5d6aa.pdf", + "web_5b8076d084922575.pdf" ], - "n_pages": 160, - "est_tokens": 144000, + "n_pages": 162, + "est_tokens": 145800, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "random_4.pdf" ], "original_filenames": [ - "AMAZON_2017_10K.pdf", - "web_8c326d96ddd981b2.pdf", - "176f3f770cd32f4ad62a6354b45cad4e425d6146.pdf", - "web_c83d6885217d96f0.pdf", - "web_6a55c713826db217.pdf" + "NIKE_2021_10K.pdf", + "web_6019e7c0934ca3b6.pdf", + "web_9942a44c5f6232cc.pdf", + "web_8617c40cc2c5d6aa.pdf", + "web_5b8076d084922575.pdf" ] } \ No newline at end of file diff --git a/q26/random_k2/question.json b/q26/random_k2/question.json index 895ef40fa05c9aecee0c0020a14e7f423ff577d8..22bd8a155d0face24565e98fff23cf716effca3f 100644 --- a/q26/random_k2/question.json +++ b/q26/random_k2/question.json @@ -9,16 +9,16 @@ "source_position": "first", "pdf_paths": [ "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/fd76bbefe469561966e5387aa709c482.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ffc784688ff74004.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_4493415b248faf19.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_e1c54bfb8b64fa3e.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_a911dfbe834a0663.pdf" ], "pdf_names": [ "fd76bbefe469561966e5387aa709c482.pdf", - "web_ffc784688ff74004.pdf", - "web_4493415b248faf19.pdf" + "web_e1c54bfb8b64fa3e.pdf", + "web_a911dfbe834a0663.pdf" ], - "n_pages": 81, - "est_tokens": 72900, + "n_pages": 57, + "est_tokens": 51300, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -27,7 +27,7 @@ ], "original_filenames": [ "fd76bbefe469561966e5387aa709c482.pdf", - "web_ffc784688ff74004.pdf", - "web_4493415b248faf19.pdf" + "web_e1c54bfb8b64fa3e.pdf", + "web_a911dfbe834a0663.pdf" ] } \ No newline at end of file diff --git a/q26/random_k4/question.json b/q26/random_k4/question.json index 2f39e39cd9a78509c86680e781c2cf5a2ea87d99..ff16453b6494093d178c2c69986e464db16b3604 100644 --- a/q26/random_k4/question.json +++ b/q26/random_k4/question.json @@ -9,20 +9,20 @@ "source_position": "first", "pdf_paths": [ "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/fd76bbefe469561966e5387aa709c482.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ffc784688ff74004.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_4493415b248faf19.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_715e6cf2d4ba3d94.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_0fc33975f03605a5.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_e1c54bfb8b64fa3e.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_a911dfbe834a0663.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_0fc33975f03605a5.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_d0752a6a77ae08fd.pdf" ], "pdf_names": [ "fd76bbefe469561966e5387aa709c482.pdf", - "web_ffc784688ff74004.pdf", - "web_4493415b248faf19.pdf", - "web_715e6cf2d4ba3d94.pdf", - "web_0fc33975f03605a5.pdf" + "web_e1c54bfb8b64fa3e.pdf", + "web_a911dfbe834a0663.pdf", + "web_0fc33975f03605a5.pdf", + "web_d0752a6a77ae08fd.pdf" ], - "n_pages": 127, - "est_tokens": 114300, + "n_pages": 116, + "est_tokens": 104400, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -33,9 +33,9 @@ ], "original_filenames": [ "fd76bbefe469561966e5387aa709c482.pdf", - "web_ffc784688ff74004.pdf", - "web_4493415b248faf19.pdf", - "web_715e6cf2d4ba3d94.pdf", - "web_0fc33975f03605a5.pdf" + "web_e1c54bfb8b64fa3e.pdf", + "web_a911dfbe834a0663.pdf", + "web_0fc33975f03605a5.pdf", + "web_d0752a6a77ae08fd.pdf" ] } \ No newline at end of file