relevant_pages list | evidence_pages list | score int64 | doc_id string | doc_type string | question string | answer string | evidence_sources list | final_answer string | turn1_colqwen_query string | turn1_colqwen_retrieval_results dict | turn1_llm_query_input string | turn1_llm_retrieval_results dict | turn1_llm_raw_output string | turn1_memory_out string | turn2_memory_in string | turn2_vlm_prompt_input string | turn2_vlm_raw_output string | turn2_final_answer string | turn2_response_type string | turn2_updated_question string | turn2_notes string | turn2_vlm_turn1_input_image0_ref string | turn2_vlm_turn1_input_image10_ref string | turn2_vlm_turn1_input_image11_ref string | turn2_vlm_turn1_input_image12_ref string | turn2_vlm_turn1_input_image13_ref string | turn2_vlm_turn1_input_image14_ref string | turn2_vlm_turn1_input_image15_ref string | turn2_vlm_turn1_input_image16_ref string | turn2_vlm_turn1_input_image17_ref string | turn2_vlm_turn1_input_image18_ref string | turn2_vlm_turn1_input_image19_ref string | turn2_vlm_turn1_input_image1_ref string | turn2_vlm_turn1_input_image20_ref string | turn2_vlm_turn1_input_image21_ref string | turn2_vlm_turn1_input_image22_ref string | turn2_vlm_turn1_input_image23_ref string | turn2_vlm_turn1_input_image24_ref string | turn2_vlm_turn1_input_image25_ref string | turn2_vlm_turn1_input_image2_ref string | turn2_vlm_turn1_input_image3_ref string | turn2_vlm_turn1_input_image4_ref string | turn2_vlm_turn1_input_image5_ref string | turn2_vlm_turn1_input_image6_ref string | turn2_vlm_turn1_input_image7_ref string | turn2_vlm_turn1_input_image8_ref string | turn2_vlm_turn1_input_image9_ref string | turn2_vlm_turn1_input_messages list | turn2_vlm_turn1_prompt string | turn2_vlm_turn1_raw_output string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
17
] | [
5
] | 1 | PH_2016.06.08_Economy-Final.pdf | Research report / Introduction | According to the report, how do 5% of the Latinos see economic upward mobility for their children? | Less well-off | [
"Chart"
] | According to the report, 5% of the Latinos see their children being less well-off financially compared to themselves. | According to the report, how do 5% of the Latinos see economic upward mobility for their children? | {
"top_pages": [
5,
17,
3,
13,
15,
11,
14,
4,
9,
8,
10,
16,
7,
1,
6,
12,
22,
23,
19,
2,
20,
21,
18
],
"top_pages_with_scores": [
{
"page": 5,
"score": 23.75
},
{
"page": 17,
"score": 22.... | You are a document understanding agent tasked with identifying the most promising page(s) for a given user query. You will be presented with summaries of each page in a document and a user query. Your task is to determine which page(s) should be examined in detail in a subsequent step.
First, review the summaries of e... | {
"document_summary": "The document addresses economic upward mobility expectations for Latino children, with key data in Page 17 indicating that 5% of Latinos believe their children will be less well off financially compared to themselves. The report consistently highlights that 72% of Latinos expect their children ... | <think>
Okay, let's tackle this query. The user is asking, "According to the report, how do 5% of the Latinos see economic upward mobility for their children?" First, I need to parse what exactly they're looking for. The key here is the 5% figure. The question is about the percentage of Latinos who have a certain view ... | The document addresses economic upward mobility expectations for Latino children, with key data in Page 17 indicating that 5% of Latinos believe their children will be less well off financially compared to themselves. The report consistently highlights that 72% of Latinos expect their children to be better off, while 1... | The document addresses economic upward mobility expectations for Latino children, with key data in Page 17 indicating that 5% of Latinos believe their children will be less well off financially compared to themselves. The report consistently highlights that 72% of Latinos expect their children to be better off, while 1... | You are an AI assistant capable of analyzing documents and extracting relevant information to answer questions. You will be provided with document pages and a question about these pages.
Consider this question about the document:
<question>
According to the report, how do 5% of the Latinos see economic upward mobility... | <scratchpad>
1. Key elements observed in the provided page images and extracted text:
- A bar chart showing the percentage of Latinos who expect their children to be "Less well-off," "Better off," or "About the same" compared to themselves.
- Specific percentages for different groups, such as "All Hispanics" (5%,... | According to the report, 5% of the Latinos see their children being less well-off financially compared to themselves. | answer | null | null | [PH_2016.06.08_Economy-Final_page17.png] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [] | You are an AI assistant capable of analyzing documents and extracting relevant information to answer questions. You will be provided with document pages and a question about these pages.
Consider this question about the document:
<question>
According to the report, how do 5% of the Latinos see economic upward mobility... | <scratchpad>
1. Key elements observed in the provided page images and extracted text:
- A bar chart showing the percentage of Latinos who expect their children to be "Less well-off," "Better off," or "About the same" compared to themselves.
- Specific percentages for different groups, such as "All Hispanics" (5%,... |
[
19,
20
] | [
19,
20
] | 0 | PH_2016.06.08_Economy-Final.pdf | Research report / Introduction | According to the report, which one is greater in population in the survey? Foreign born Latinos, or the Latinos interviewed by cellphone? | Latinos interviewed by cellphone | [
"Table"
] | The foreign-born Latinos are greater in population in the survey, with 795 foreign-born respondents compared to 705 U.S.-born respondents. | According to the report, which one is greater in population in the survey? Foreign born Latinos, or the Latinos interviewed by cellphone? | {
"top_pages": [
19,
20,
5,
21,
10,
14,
17,
4,
15,
1,
8,
11,
16,
2,
13,
3,
9,
23,
7,
12,
6,
22,
18
],
"top_pages_with_scores": [
{
"page": 19,
"score": 22.625
},
{
"page": 20,
"score": 2... | You are a document understanding agent tasked with identifying the most promising page(s) for a given user query. You will be presented with summaries of each page in a document and a user query. Your task is to determine which page(s) should be examined in detail in a subsequent step.
First, review the summaries of e... | {
"document_summary": "The document provides detailed methodology and demographic breakdowns from the Pew Research Center's 2015 National Survey of Latinos. The survey included both U.S.-born and foreign-born Latinos, with specific counts provided in the methodology section (Page 19). This page explicitly states ther... | <think>
Okay, let's tackle this query. The user is asking which group is greater in population in the survey: foreign-born Latinos or those interviewed by cellphone.
First, I need to look through the summaries to find relevant information. The key terms here are "foreign born Latinos" and "cellphone interviews."
Lo... | The document provides detailed methodology and demographic breakdowns from the Pew Research Center's 2015 National Survey of Latinos. The survey included both U.S.-born and foreign-born Latinos, with specific counts provided in the methodology section (Page 19). This page explicitly states there were 705 U.S.-born and ... | The document provides detailed methodology and demographic breakdowns from the Pew Research Center's 2015 National Survey of Latinos. The survey included both U.S.-born and foreign-born Latinos, with specific counts provided in the methodology section (Page 19). This page explicitly states there were 705 U.S.-born and ... | You are an AI assistant capable of analyzing documents and extracting relevant information to answer questions. You will be provided with document pages and a question about these pages.
Consider this question about the document:
<question>
According to the report, which one is greater in population in the survey? For... | <scratchpad>
1. Key elements observed:
- Page 19 contains demographic breakdowns of the survey respondents.
- Page 19 explicitly states there were 705 U.S.-born and 795 foreign-born respondents.
- Page 20 discusses sampling methods, including landline and cellphone interviews.
2. Specific details related t... | The foreign-born Latinos are greater in population in the survey, with 795 foreign-born respondents compared to 705 U.S.-born respondents. | answer | null | null | [PH_2016.06.08_Economy-Final_page19.png] | null | null | null | null | null | null | null | null | null | null | [PH_2016.06.08_Economy-Final_page20.png] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [] | You are an AI assistant capable of analyzing documents and extracting relevant information to answer questions. You will be provided with document pages and a question about these pages.
Consider this question about the document:
<question>
According to the report, which one is greater in population in the survey? For... | <scratchpad>
1. Key elements observed:
- Page 19 contains demographic breakdowns of the survey respondents.
- Page 19 explicitly states there were 705 U.S.-born and 795 foreign-born respondents.
- Page 20 discusses sampling methods, including landline and cellphone interviews.
2. Specific details related t... |
[
10,
14,
15,
17
] | [
14
] | 0 | PH_2016.06.08_Economy-Final.pdf | Research report / Introduction | From this report, which subgroup among Hispanics has gained most confidence from 2008 to 2015? | Some college or more | [
"Chart"
] | The subgroup that has gained the most confidence from 2008 to 2015 among Hispanics is the age group of 18-29 years old, with a 27 percentage point increase in financial confidence. Additionally, college-educated Latinos have shown the fastest recovery post-recession, with a 20 percentage point increase in economic opti... | From this report, which subgroup among Hispanics has gained most confidence from 2008 to 2015? | {
"top_pages": [
4,
9,
13,
14,
10,
6,
15,
5,
11,
1,
8,
7,
12,
16,
17,
3,
19,
23,
22,
21,
2,
18,
20
],
"top_pages_with_scores": [
{
"page": 4,
"score": 24.875
},
{
"page": 9,
"score": 23.... | You are a document understanding agent tasked with identifying the most promising page(s) for a given user query. You will be presented with summaries of each page in a document and a user query. Your task is to determine which page(s) should be examined in detail in a subsequent step.
First, review the summaries of e... | {
"document_summary": "The document provides multiple data points on Hispanic subgroups' financial confidence from 2008 to 2015. Key subgroups analyzed include age groups, education levels, U.S. vs. foreign-born status, and generational cohorts. Pages 10, 14, and 15 highlight significant increases in optimism among y... | <think>
Okay, let's tackle this user query. The question is asking which subgroup among Hispanics has gained the most confidence from 2008 to 2015. The user wants to know the subgroup that showed the biggest increase in confidence during that period.
First, I need to go through the summaries of each page to find relev... | The document provides multiple data points on Hispanic subgroups' financial confidence from 2008 to 2015. Key subgroups analyzed include age groups, education levels, U.S. vs. foreign-born status, and generational cohorts. Pages 10, 14, and 15 highlight significant increases in optimism among younger Hispanics (ages 18... | The document provides multiple data points on Hispanic subgroups' financial confidence from 2008 to 2015. Key subgroups analyzed include age groups, education levels, U.S. vs. foreign-born status, and generational cohorts. Pages 10, 14, and 15 highlight significant increases in optimism among younger Hispanics (ages 18... | You are an AI assistant capable of analyzing documents and extracting relevant information to answer questions. You will be provided with document pages and a question about these pages.
Consider this question about the document:
<question>
From this report, which subgroup among Hispanics has gained most confidence fr... | <scratchpad>
1. Key elements observed:
- Page 9: Bar chart showing financial confidence improvements among different Hispanic subgroups from 2008 to 2015.
- Page 13: Bar chart showing financial optimism improvements among different Hispanic subgroups from 2008 to 2015.
- Page 14: Text discussing financial opti... | The subgroup that has gained the most confidence from 2008 to 2015 among Hispanics is the age group of 18-29 years old, with a 27 percentage point increase in financial confidence. Additionally, college-educated Latinos have shown the fastest recovery post-recession, with a 20 percentage point increase in economic opti... | answer | null | null | [PH_2016.06.08_Economy-Final_page10.png] | null | null | null | null | null | null | null | null | null | null | [PH_2016.06.08_Economy-Final_page14.png] | null | null | null | null | null | null | [PH_2016.06.08_Economy-Final_page15.png] | [PH_2016.06.08_Economy-Final_page17.png] | null | null | null | null | null | null | [] | You are an AI assistant capable of analyzing documents and extracting relevant information to answer questions. You will be provided with document pages and a question about these pages.
Consider this question about the document:
<question>
From this report, which subgroup among Hispanics has gained most confidence fr... | <scratchpad>
1. Key elements observed:
- Page 9: Bar chart showing financial confidence improvements among different Hispanic subgroups from 2008 to 2015.
- Page 13: Bar chart showing financial optimism improvements among different Hispanic subgroups from 2008 to 2015.
- Page 14: Text discussing financial opti... |
[
22,
23
] | [
2,
22,
23
] | 0 | PH_2016.06.08_Economy-Final.pdf | Research report / Introduction | Among all 12 references in this report, how many are from its own research center? | 8 | [
"Pure-text (Plain-text)"
] | "The provided pages contain references from the Pew Research Center, but the exact count is not spec(...TRUNCATED) | Among all 12 references in this report, how many are from its own research center? | {"top_pages":[22,23,3,2,18,8,12,1,21,15,7,11,19,5,9,16,20,6,17,13,14,4,10],"top_pages_with_scores":[(...TRUNCATED) | "You are a document understanding agent tasked with identifying the most promising page(s) for a giv(...TRUNCATED) | {"document_summary":"The document contains a list of references in Appendix A (Page 22) and addition(...TRUNCATED) | "<think>\nOkay, let's tackle this user query. The user is asking, \"Among all 12 references in this (...TRUNCATED) | "The document contains a list of references in Appendix A (Page 22) and additional sources in Page 2(...TRUNCATED) | "The document contains a list of references in Appendix A (Page 22) and additional sources in Page 2(...TRUNCATED) | "You are an AI assistant capable of analyzing documents and extracting relevant information to answe(...TRUNCATED) | "<scratchpad>\n1. Key elements observed in the provided page images and extracted text:\n - The do(...TRUNCATED) | "The provided pages contain references from the Pew Research Center, but the exact count is not spec(...TRUNCATED) | answer | null | null | [PH_2016.06.08_Economy-Final_page22.png] | null | null | null | null | null | null | null | null | null | null | [PH_2016.06.08_Economy-Final_page23.png] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [] | "You are an AI assistant capable of analyzing documents and extracting relevant information to answe(...TRUNCATED) | "<scratchpad>\n1. Key elements observed in the provided page images and extracted text:\n - The do(...TRUNCATED) |
[
4,
5,
7,
10,
13,
14
] | [
4,
7,
9,
10,
13,
14
] | 0 | PH_2016.06.08_Economy-Final.pdf | Research report / Introduction | "Among all charts in this report, how many compare between the general public with the Latinos/Hispa(...TRUNCATED) | 6 | [
"Chart",
"Generalized-text (Layout)"
] | "There are four charts that compare the general public with Hispanics in the document. The retrieved(...TRUNCATED) | "Among all charts in this report, how many compare between the general public with the Latinos/Hispa(...TRUNCATED) | {"top_pages":[7,14,4,9,13,10,17,18,11,16,3,6,1,2,8,15,5,23,12,19,21,22,20],"top_pages_with_scores":[(...TRUNCATED) | "You are a document understanding agent tasked with identifying the most promising page(s) for a giv(...TRUNCATED) | {"document_summary":"The document contains multiple charts and tables comparing Latinos/Hispanics wi(...TRUNCATED) | "<think>\nOkay, let's tackle this user query. The user is asking how many charts in the report compa(...TRUNCATED) | "The document contains multiple charts and tables comparing Latinos/Hispanics with the general publi(...TRUNCATED) | "The document contains multiple charts and tables comparing Latinos/Hispanics with the general publi(...TRUNCATED) | "You are an AI assistant capable of analyzing documents and extracting relevant information to answe(...TRUNCATED) | "<scratchpad>\n1. Key elements observed in the provided page images and extracted text:\n - Page 4(...TRUNCATED) | "There are four charts that compare the general public with Hispanics in the document. The retrieved(...TRUNCATED) | answer | null | null | [PH_2016.06.08_Economy-Final_page4.png] | null | null | null | null | null | null | null | null | null | null | [PH_2016.06.08_Economy-Final_page5.png] | null | null | null | null | null | null | [PH_2016.06.08_Economy-Final_page7.png] | [PH_2016.06.08_Economy-Final_page10.png] | [PH_2016.06.08_Economy-Final_page13.png] | [PH_2016.06.08_Economy-Final_page14.png] | null | null | null | null | [] | "You are an AI assistant capable of analyzing documents and extracting relevant information to answe(...TRUNCATED) | "<scratchpad>\n1. Key elements observed in the provided page images and extracted text:\n - Page 4(...TRUNCATED) |
[
16,
4,
5,
13,
14,
15,
17
] | [
16
] | 1 | PH_2016.06.08_Economy-Final.pdf | Research report / Introduction | "According to this report, among the Hispanics shaped by four current personal financial situation, (...TRUNCATED) | Poor Financial Condition | [
"Chart"
] | "Among the Hispanics shaped by four current personal financial situations, those in a \"Poor financi(...TRUNCATED) | "According to this report, among the Hispanics shaped by four current personal financial situation, (...TRUNCATED) | {"top_pages":[16,4,8,13,14,9,15,10,17,7,1,3,5,11,12,6,22,23,2,18,19,21,20],"top_pages_with_scores":[(...TRUNCATED) | "You are a document understanding agent tasked with identifying the most promising page(s) for a giv(...TRUNCATED) | {"document_summary":"The document primarily focuses on Latino financial perceptions and economic out(...TRUNCATED) | "<think>\nOkay, let's tackle this query. The user is asking, \"According to this report, among the H(...TRUNCATED) | "The document primarily focuses on Latino financial perceptions and economic outlooks, highlighting (...TRUNCATED) | "The document primarily focuses on Latino financial perceptions and economic outlooks, highlighting (...TRUNCATED) | "You are an AI assistant capable of analyzing documents and extracting relevant information to answe(...TRUNCATED) | "<scratchpad>\n1. Key elements observed:\n - Page 16 contains a bar chart titled \"Future financia(...TRUNCATED) | "Among the Hispanics shaped by four current personal financial situations, those in a \"Poor financi(...TRUNCATED) | answer | null | null | [PH_2016.06.08_Economy-Final_page16.png] | null | null | null | null | null | null | null | null | null | null | [PH_2016.06.08_Economy-Final_page4.png] | null | null | null | null | null | null | [PH_2016.06.08_Economy-Final_page5.png] | [PH_2016.06.08_Economy-Final_page13.png] | [PH_2016.06.08_Economy-Final_page14.png] | [PH_2016.06.08_Economy-Final_page15.png] | [PH_2016.06.08_Economy-Final_page17.png] | null | null | null | [] | "You are an AI assistant capable of analyzing documents and extracting relevant information to answe(...TRUNCATED) | "<scratchpad>\n1. Key elements observed:\n - Page 16 contains a bar chart titled \"Future financia(...TRUNCATED) |
[
11,
12
] | [
11
] | 0 | PH_2016.06.08_Economy-Final.pdf | Research report / Introduction | "According to this report, from 2014 to 2015, one group has the most significant drop of percentage (...TRUNCATED) | ['White', '10%'] | [
"Chart"
] | "The provided pages do not contain the 2014 percentages for each group, which are necessary to deter(...TRUNCATED) | "According to this report, from 2014 to 2015, one group has the most significant drop of percentage (...TRUNCATED) | {"top_pages":[11,12,6,9,7,14,13,10,3,5,4,22,8,15,1,19,16,23,17,2,21,18,20],"top_pages_with_scores":[(...TRUNCATED) | "You are a document understanding agent tasked with identifying the most promising page(s) for a giv(...TRUNCATED) | {"document_summary":"The document discusses changes in perceptions of income relative to the cost of(...TRUNCATED) | "<think>\nOkay, let's tackle this user query. The user is asking about a significant drop in the per(...TRUNCATED) | "The document discusses changes in perceptions of income relative to the cost of living among Hispan(...TRUNCATED) | "The document discusses changes in perceptions of income relative to the cost of living among Hispan(...TRUNCATED) | "You are an AI assistant capable of analyzing documents and extracting relevant information to answe(...TRUNCATED) | "<scratchpad>\n1. Key elements observed:\n - Page 11 contains a bar chart showing the percentage o(...TRUNCATED) | "The provided pages do not contain the 2014 percentages for each group, which are necessary to deter(...TRUNCATED) | answer | null | null | [PH_2016.06.08_Economy-Final_page11.png] | null | null | null | null | null | null | null | null | null | null | [PH_2016.06.08_Economy-Final_page12.png] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [] | "You are an AI assistant capable of analyzing documents and extracting relevant information to answe(...TRUNCATED) | "<scratchpad>\n1. Key elements observed:\n - Page 11 contains a bar chart showing the percentage o(...TRUNCATED) |
[
3,
4,
5
] | [
3,
5
] | 1 | Independents-Report.pdf | Research report / Introduction | "What's the percentage of people who are democrats and voted in the last election compared to the en(...TRUNCATED) | 18.29% | [
"Pure-text (Plain-text)"
] | "The percentage of people who are democrats and voted in the last election compared to the entire po(...TRUNCATED) | "What's the percentage of people who are democrats and voted in the last election compared to the en(...TRUNCATED) | {"top_pages":[4,5,3,20,16,22,14,10,19,21,7,6,11,18,8,12,13,15,9,17,1,2,23],"top_pages_with_scores":[(...TRUNCATED) | "You are a document understanding agent tasked with identifying the most promising page(s) for a giv(...TRUNCATED) | {"document_summary":"The document provides data on political affiliations and voting behavior in 201(...TRUNCATED) | "<think>\nOkay, let's tackle this user query. The user is asking for the percentage of people who ar(...TRUNCATED) | "The document provides data on political affiliations and voting behavior in 2018. Page 3 states tha(...TRUNCATED) | "The document provides data on political affiliations and voting behavior in 2018. Page 3 states tha(...TRUNCATED) | "You are an AI assistant capable of analyzing documents and extracting relevant information to answe(...TRUNCATED) | "<scratchpad>\n1. Key elements observed in the provided page images and extracted text:\n - Page 3(...TRUNCATED) | "The percentage of people who are democrats and voted in the last election compared to the entire po(...TRUNCATED) | answer | null | null | [Independents-Report_page3.png] | null | null | null | null | null | null | null | null | null | null | [Independents-Report_page4.png] | null | null | null | null | null | null | [Independents-Report_page5.png] | null | null | null | null | null | null | null | [] | "You are an AI assistant capable of analyzing documents and extracting relevant information to answe(...TRUNCATED) | "<scratchpad>\n1. Key elements observed in the provided page images and extracted text:\n - Page 3(...TRUNCATED) |
[
4,
5
] | [] | 1 | Independents-Report.pdf | Research report / Introduction | "What's the percentage of people who are democrats and voted in the last election compared to the en(...TRUNCATED) | Not answerable | [] | "The document provides data on voting behavior among Democrats and Democratic-leaning independents i(...TRUNCATED) | "What's the percentage of people who are democrats and voted in the last election compared to the en(...TRUNCATED) | {"top_pages":[4,5,3,22,20,14,16,10,19,11,6,8,12,7,21,18,13,15,17,9,1,2,23],"top_pages_with_scores":[(...TRUNCATED) | "You are a document understanding agent tasked with identifying the most promising page(s) for a giv(...TRUNCATED) | {"document_summary":"The document provides data on voting behavior and political affiliations from 2(...TRUNCATED) | "<think>\nOkay, let's tackle this query. The user is asking for the percentage of Democrats who vote(...TRUNCATED) | "The document provides data on voting behavior and political affiliations from 2018, but does not in(...TRUNCATED) | "The document provides data on voting behavior and political affiliations from 2018, but does not in(...TRUNCATED) | "You are an AI assistant capable of analyzing documents and extracting relevant information to answe(...TRUNCATED) | "<scratchpad>\n1. Key elements observed in the provided page images and extracted text:\n - Page 4(...TRUNCATED) | "The document provides data on voting behavior among Democrats and Democratic-leaning independents i(...TRUNCATED) | answer | null | null | [Independents-Report_page4.png] | null | null | null | null | null | null | null | null | null | null | [Independents-Report_page5.png] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [] | "You are an AI assistant capable of analyzing documents and extracting relevant information to answe(...TRUNCATED) | "<scratchpad>\n1. Key elements observed in the provided page images and extracted text:\n - Page 4(...TRUNCATED) |
[
6
] | [] | 1 | Independents-Report.pdf | Research report / Introduction | "From this report, among Clinton, G.W.Bush, and Obama, whose support rate by the democrats increased(...TRUNCATED) | Not answerable | [] | "The document contains a line graph that compares job approval ratings of Clinton, G.W. Bush, and Ob(...TRUNCATED) | "From this report, among Clinton, G.W.Bush, and Obama, whose support rate by the democrats increased(...TRUNCATED) | {"top_pages":[6,7,14,4,10,8,3,11,13,20,12,22,16,19,18,21,9,5,15,17,1,23,2],"top_pages_with_scores":[(...TRUNCATED) | "You are a document understanding agent tasked with identifying the most promising page(s) for a giv(...TRUNCATED) | {"document_summary":"The document primarily focuses on political independents' views, partisan leani(...TRUNCATED) | "<think>\nOkay, let's tackle this user query. The question is asking, among Clinton, G.W. Bush, and (...TRUNCATED) | "The document primarily focuses on political independents' views, partisan leanings, and demographic(...TRUNCATED) | "The document primarily focuses on political independents' views, partisan leanings, and demographic(...TRUNCATED) | "You are an AI assistant capable of analyzing documents and extracting relevant information to answe(...TRUNCATED) | "<scratchpad>\n1. Key elements observed in the provided page images and extracted text:\n - A line(...TRUNCATED) | "The document contains a line graph that compares job approval ratings of Clinton, G.W. Bush, and Ob(...TRUNCATED) | answer | null | null | [Independents-Report_page6.png] | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [] | "You are an AI assistant capable of analyzing documents and extracting relevant information to answe(...TRUNCATED) | "<scratchpad>\n1. Key elements observed in the provided page images and extracted text:\n - A line(...TRUNCATED) |
End of preview. Expand in Data Studio
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MMLongBench – 2025-12-14 11:34 UTC
Average accuracy: 47.67% (1072 samples with scores)
Subset metrics by evidence source:
Pure-text (Plain-text): samples=302, accuracy=43.05%
Figure: samples=299, accuracy=35.12%
Table: samples=217, accuracy=41.47%
Chart: samples=175, accuracy=36.57%
Generalized-text (Layout): samples=119, accuracy=30.25%
Subset metrics by evidence pages length:
no_pages: samples=226, accuracy=68.58%
single_page: samples=489, accuracy=51.74%
multiple_pages: samples=357, accuracy=28.85%
Done: Results saved to /hub_data2/seohyun/outputs/var1_2turn_seed5/simpledoc_eval/MMLongBench/eval_results.jsonl
Results source: /hub_data2/seohyun/outputs/var1_2turn_seed5/results.json
MMLongBench – 2025-12-12 11:13 UTC
Average accuracy: 47.67% (1072 samples with scores)
Subset metrics by evidence source:
Pure-text (Plain-text): samples=302, accuracy=43.05%
Figure: samples=299, accuracy=35.12%
Table: samples=217, accuracy=41.47%
Chart: samples=175, accuracy=36.57%
Generalized-text (Layout): samples=119, accuracy=30.25%
Subset metrics by evidence pages length:
no_pages: samples=226, accuracy=68.58%
single_page: samples=489, accuracy=51.74%
multiple_pages: samples=357, accuracy=28.85%
Done: Results saved to /hub_data2/seohyun/outputs/var1_2turn_seed5/simpledoc_eval/MMLongBench/eval_results.jsonl
Results source: /hub_data2/seohyun/outputs/var1_2turn_seed5/results.json
configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: relevant_pages list: int64 - name: evidence_pages list: int64 - name: score dtype: int64 - name: doc_id dtype: string - name: doc_type dtype: string - name: question dtype: string - name: answer dtype: string - name: evidence_sources list: string - name: final_answer dtype: string - name: turn1_colqwen_query dtype: string - name: turn1_colqwen_retrieval_results struct: - name: top_pages list: int64 - name: top_pages_with_scores list: - name: page dtype: int64 - name: score dtype: float64 - name: turn1_llm_query_input dtype: string - name: turn1_llm_retrieval_results struct: - name: document_summary dtype: string - name: relevant_pages list: int64 - name: turn1_llm_raw_output dtype: string - name: turn1_memory_out dtype: string - name: turn2_memory_in dtype: string - name: turn2_vlm_prompt_input dtype: string - name: turn2_vlm_raw_output dtype: string - name: turn2_final_answer dtype: string - name: turn2_response_type dtype: string - name: turn2_updated_question dtype: string - name: turn2_notes dtype: string - name: turn2_vlm_turn1_input_image0_ref dtype: string - name: turn2_vlm_turn1_input_image10_ref dtype: string - name: turn2_vlm_turn1_input_image11_ref dtype: string - name: turn2_vlm_turn1_input_image12_ref dtype: string - name: turn2_vlm_turn1_input_image13_ref dtype: string - name: turn2_vlm_turn1_input_image14_ref dtype: string - name: turn2_vlm_turn1_input_image15_ref dtype: string - name: turn2_vlm_turn1_input_image16_ref dtype: string - name: turn2_vlm_turn1_input_image17_ref dtype: string - name: turn2_vlm_turn1_input_image18_ref dtype: string - name: turn2_vlm_turn1_input_image19_ref dtype: string - name: turn2_vlm_turn1_input_image1_ref dtype: string - name: turn2_vlm_turn1_input_image20_ref dtype: string - name: turn2_vlm_turn1_input_image21_ref dtype: string - name: turn2_vlm_turn1_input_image22_ref dtype: string - name: turn2_vlm_turn1_input_image23_ref dtype: string - name: turn2_vlm_turn1_input_image24_ref dtype: string - name: turn2_vlm_turn1_input_image25_ref dtype: string - name: turn2_vlm_turn1_input_image2_ref dtype: string - name: turn2_vlm_turn1_input_image3_ref dtype: string - name: turn2_vlm_turn1_input_image4_ref dtype: string - name: turn2_vlm_turn1_input_image5_ref dtype: string - name: turn2_vlm_turn1_input_image6_ref dtype: string - name: turn2_vlm_turn1_input_image7_ref dtype: string - name: turn2_vlm_turn1_input_image8_ref dtype: string - name: turn2_vlm_turn1_input_image9_ref dtype: string - name: turn2_vlm_turn1_input_messages list: 'null' - name: turn2_vlm_turn1_prompt dtype: string - name: turn2_vlm_turn1_raw_output dtype: string splits: - name: train num_bytes: 54509165 num_examples: 1073 download_size: 14733126 dataset_size: 54509165
dataset_info: features: - name: relevant_pages list: int64 - name: evidence_pages list: int64 - name: score dtype: int64 - name: doc_id dtype: string - name: doc_type dtype: string - name: question dtype: string - name: answer dtype: string - name: evidence_sources list: string - name: final_answer dtype: string - name: turn1_colqwen_query dtype: string - name: turn1_colqwen_retrieval_results struct: - name: top_pages list: int64 - name: top_pages_with_scores list: - name: page dtype: int64 - name: score dtype: float64 - name: turn1_llm_query_input dtype: string - name: turn1_llm_retrieval_results struct: - name: document_summary dtype: string - name: relevant_pages list: int64 - name: turn1_llm_raw_output dtype: string - name: turn1_memory_out dtype: string - name: turn2_memory_in dtype: string - name: turn2_vlm_prompt_input dtype: string - name: turn2_vlm_raw_output dtype: string - name: turn2_final_answer dtype: string - name: turn2_response_type dtype: string - name: turn2_updated_question dtype: string - name: turn2_notes dtype: string - name: turn2_vlm_turn1_input_image0_ref dtype: string - name: turn2_vlm_turn1_input_image10_ref dtype: string - name: turn2_vlm_turn1_input_image11_ref dtype: string - name: turn2_vlm_turn1_input_image12_ref dtype: string - name: turn2_vlm_turn1_input_image13_ref dtype: string - name: turn2_vlm_turn1_input_image14_ref dtype: string - name: turn2_vlm_turn1_input_image15_ref dtype: string - name: turn2_vlm_turn1_input_image16_ref dtype: string - name: turn2_vlm_turn1_input_image17_ref dtype: string - name: turn2_vlm_turn1_input_image18_ref dtype: string - name: turn2_vlm_turn1_input_image19_ref dtype: string - name: turn2_vlm_turn1_input_image1_ref dtype: string - name: turn2_vlm_turn1_input_image20_ref dtype: string - name: turn2_vlm_turn1_input_image21_ref dtype: string - name: turn2_vlm_turn1_input_image22_ref dtype: string - name: turn2_vlm_turn1_input_image23_ref dtype: string - name: turn2_vlm_turn1_input_image24_ref dtype: string - name: turn2_vlm_turn1_input_image25_ref dtype: string - name: turn2_vlm_turn1_input_image2_ref dtype: string - name: turn2_vlm_turn1_input_image3_ref dtype: string - name: turn2_vlm_turn1_input_image4_ref dtype: string - name: turn2_vlm_turn1_input_image5_ref dtype: string - name: turn2_vlm_turn1_input_image6_ref dtype: string - name: turn2_vlm_turn1_input_image7_ref dtype: string - name: turn2_vlm_turn1_input_image8_ref dtype: string - name: turn2_vlm_turn1_input_image9_ref dtype: string - name: turn2_vlm_turn1_input_messages list: 'null' - name: turn2_vlm_turn1_prompt dtype: string - name: turn2_vlm_turn1_raw_output dtype: string splits: - name: train num_bytes: 54509165 num_examples: 1073 download_size: 14733126 dataset_size: 54509165 configs: - config_name: default data_files: - split: train path: data/train-*
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