conversations listlengths 3 3 | thinking stringlengths 174 38.8k | metadata dict | format_bonus float64 1 1 | citation_format_reward float64 1 1 | citation_paper_reward float64 0.4 0.69 | citation_metrics dict | gpt5_generation stringlengths 66 2.34k ⌀ | rubrics stringlengths 322 1.51k |
|---|---|---|---|---|---|---|---|---|
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for the exact 17th-century dispute rate attributed to Robert K. Merton. The search snippet clearly states that Robert K. Merton found that 92% of cases of simultaneous discovery in the 17th century ended in dispute.
This directly answers the query. I need to write a concise paragraph with inline c... | {
"sample_id": "traj0_turn1",
"traj_idx": 0,
"turn_index": 1,
"tool_name": "browse_webpage",
"tool_query": "https://en.wikipedia.org/wiki/Academic_publishing",
"refiner_mode": "answer_only",
"stop_reason": "stop",
"accepted": true,
"pass": 1
} | 1 | 1 | 0.55 | {
"citation_format_reward": 1,
"citation_avg_claim_recall": 0.25,
"citation_avg_claim_precision": 1,
"citation_avg_claim_f1": 0.25,
"citation_paper_reward": 0.55,
"citation_claim_count": 4,
"citation_uncited_claim_count": 3,
"citation_score_applicable": 1
} | <answer>
<snippet id=S_UD6WfAE>Robert K. Merton found that 92% of cases of simultaneous discovery in the 17th century ended in dispute.</snippet> <snippet id=S_UD6WfAE>In other words, the 17th-century dispute rate for simultaneous discoveries was 92%.</snippet> <snippet id=S_UD6WfAE>This figure is attributed to Merton.... | {"positive_rubrics": [{"title": "States 92% Dispute Rate", "description": "States that 92% of cases of simultaneous discovery in the 17th century ended in dispute, with correct snippet citation."}, {"title": "Attributes Finding to Merton", "description": "Explicitly attributes the 92% dispute rate finding to Robert K. ... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is asking about tariffs on small (≤$800) shipments from China to the U.S. after June 1, 2025. I need to analyze the search snippets to determine:
1. Whether the de minimis regime (Section 321) is still in effect for China shipments ≤$800 after June 1, 2025
2. What the actual tariff rates are
3. Whether there ... | {
"sample_id": "traj2_turn0",
"traj_idx": 2,
"turn_index": 0,
"tool_name": "google_search",
"tool_query": "de minimis China 2025 June 1 CBP Section 321 effective date",
"refiner_mode": "answer_only",
"stop_reason": "stop",
"accepted": true,
"pass": 1
} | 1 | 1 | 0.657143 | {
"citation_format_reward": 1,
"citation_avg_claim_recall": 0.42857142857142855,
"citation_avg_claim_precision": 0.7142857142857143,
"citation_avg_claim_f1": 0.42857142857142855,
"citation_paper_reward": 0.6571428571428571,
"citation_claim_count": 7,
"citation_uncited_claim_count": 1,
"citation_score_ap... | <answer>
<snippet id=S_t4H7Pwx,S_1XWCT9O>Effective May 2, 2025, products of China (and Hong Kong) were no longer eligible for duty‑free de minimis treatment, so low‑value shipments at or under $800 stopped entering duty‑free</snippet>. <snippet id=S_Lp8kiFM>CBP further states that effective June 1, 2025 at 12:01 a.m. E... | {"positive_rubrics": [{"title": "States De Minimis End Date For China", "description": "Clearly states that the de minimis exemption for shipments from China to the U.S. ends on May 2, 2025, with snippet citation."}, {"title": "Mentions Flat $200 Rate Effective June 1", "description": "Mentions that as of June 1, 2025,... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for publication count information on ResearchGate. I found a relevant snippet that contains this information.
Let me analyze the snippet:
- Snippet S_V1B06ks mentions that "ResearchGate has over 100 million publications available from more than 11 million researchers."
This directly answers what ... | {
"sample_id": "traj17_turn1",
"traj_idx": 17,
"turn_index": 1,
"tool_name": "browse_webpage",
"tool_query": "https://www.scijournal.org/articles/academic-search-engines",
"refiner_mode": "answer_only",
"stop_reason": "stop",
"accepted": true,
"pass": 1
} | 1 | 1 | 0.52 | {
"citation_format_reward": 1,
"citation_avg_claim_recall": 0.2,
"citation_avg_claim_precision": 0.8,
"citation_avg_claim_f1": 0.2,
"citation_paper_reward": 0.52,
"citation_claim_count": 5,
"citation_uncited_claim_count": 3,
"citation_score_applicable": 1
} | <answer>
The scijournal.org page reports <snippet id=S_V1B06ks>ResearchGate has over 100 million publications available from more than 11 million researchers</snippet>.
</answer> | {"positive_rubrics": [{"title": "Publication Count Stated", "description": "States that ResearchGate has over 100 million publications, with the claim cited to the correct snippet."}], "negative_rubrics": [{"title": "Unsubstantiated Claims", "description": "Introduces any factual claims (such as user features or resear... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants me to answer the agent's query about identifying the author of the Swedish book "Visst katten har djuren själ!?".
From the reasoning, the agent is looking for:
1. The author of the book
2. Confirmation from library catalogs like LIBRIS
From the raw tool output, I have two snippets:
- S_OsMLpfg: Shows t... | {
"sample_id": "traj94_turn3",
"traj_idx": 94,
"turn_index": 3,
"tool_name": "google_search",
"tool_query": "site:libris.kb.se \"Visst katten har djuren själ\"",
"refiner_mode": "answer_only",
"stop_reason": "stop",
"accepted": true,
"pass": 1
} | 1 | 1 | 0.657143 | {
"citation_format_reward": 1,
"citation_avg_claim_recall": 0.42857142857142855,
"citation_avg_claim_precision": 1,
"citation_avg_claim_f1": 0.42857142857142855,
"citation_paper_reward": 0.6571428571428571,
"citation_claim_count": 7,
"citation_uncited_claim_count": 4,
"citation_score_applicable": 1
} | <answer>
<snippet id=S_OsMLpfg>LIBRIS lists "Visst katten har djuren själ!" as "en samling berättelser av och för djurvänner" [sammanställd av] Margit Sandemo</snippet>. <snippet id=S_9BsHsQP>The LIBRIS record for the electronic version likewise credits the work as [sammanställd av] Margit Sandemo</snippet>. <snippet i... | {"positive_rubrics": [{"title": "Explicit Compilation Credit", "description": "States that Margit Sandemo is credited as the compiler or person who assembled the book, as indicated by the phrase '[sammanställd av] Margit Sandemo' in the LIBRIS records."}, {"title": "Catalog Source Attribution", "description": "Clearly ... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants me to extract funding details for ProRata.ai from the Axios article. Let me analyze what information is available in the snippet:
1. Round size: $40 million
2. Stage: Series B
3. Investors: Led by Touring Capital
4. Total raised: Over $70 million
5. Company description: Generative AI startup with AI sea... | {
"sample_id": "traj113_turn3",
"traj_idx": 113,
"turn_index": 3,
"tool_name": "browse_webpage",
"tool_query": "https://www.axios.com/2025/09/05/prorata-ai-search-tool-publishers",
"refiner_mode": "answer_only",
"stop_reason": "stop",
"accepted": true,
"pass": 1
} | 1 | 1 | 0.64 | {
"citation_format_reward": 1,
"citation_avg_claim_recall": 0.4,
"citation_avg_claim_precision": 1,
"citation_avg_claim_f1": 0.4,
"citation_paper_reward": 0.64,
"citation_claim_count": 10,
"citation_uncited_claim_count": 6,
"citation_score_applicable": 1
} | <answer>
<snippet id="S_MmJ8lJh">ProRata.ai raised $40 million in Series B funding to launch an AI search tool for publishers</snippet>, <snippet id="S_MmJ8lJh">the round was led by Touring Capital</snippet>, and <snippet id="S_MmJ8lJh">the company’s total funding now exceeds $70 million</snippet>. <snippet id="S_MmJ8l... | {"positive_rubrics": [{"title": "Funding Round Details", "description": "States the amount raised ($40 million), the round (Series B), and the lead investor (Touring Capital), each with correct snippet citation."}, {"title": "Total Raised To Date", "description": "Mentions that ProRata.ai's total fundraising is over $7... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for the cumulative power generation of the Three Gorges Dam since operation. They have search results from a Google search query about "Three Gorges cumulative power generation since operation total TWh 2024 2025".
Let me analyze what snippets provide relevant information:
1. S_1wOiW9R - This tal... | {
"sample_id": "traj116_turn1",
"traj_idx": 116,
"turn_index": 1,
"tool_name": "google_search",
"tool_query": "Three Gorges cumulative power generation since operation total TWh 2024 2025",
"refiner_mode": "answer_only",
"stop_reason": "stop",
"accepted": true,
"pass": 1
} | 1 | 1 | 0.625 | {
"citation_format_reward": 1,
"citation_avg_claim_recall": 0.5,
"citation_avg_claim_precision": 0.875,
"citation_avg_claim_f1": 0.375,
"citation_paper_reward": 0.625,
"citation_claim_count": 8,
"citation_uncited_claim_count": 5,
"citation_score_applicable": 1
} | <answer>
<snippet id=S_WDk1CNI>The Three Gorges project, the world's largest hydropower project, has generated over 1.7 trillion kWh of electricity</snippet>. <snippet id=S_zJen2gX>In 2024, China Yangtze Power reported generation of 295.9 billion kWh</snippet>, underscoring its continued high output. <snippet id=S_WNKq... | {"positive_rubrics": [{"title": "States Cumulative Generation", "description": "States that the Three Gorges Dam has generated over 1.7 trillion kWh (1,700 TWh) of electricity since operation, citing the correct snippet."}, {"title": "Cites Recent Annual Generation", "description": "Includes the 2024 annual generation ... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for Anthropic's official documentation on Claude 3.5/3.7 context windows and max output tokens. Let me analyze the snippets:
1. S_Mw3VyuD - Claude 3.5 Sonnet has 200K token context window
2. S_RvLxCHy - Claude Sonnet 4 supports 1-million token context window
3. S_nUrH17L - Pricing for Claude Sonne... | {
"sample_id": "traj42_turn1",
"traj_idx": 42,
"turn_index": 1,
"tool_name": "google_search",
"tool_query": "Anthropic Claude 3.5 Sonnet context window max output tokens docs",
"refiner_mode": "answer_only",
"stop_reason": "stop",
"accepted": true,
"pass": 1
} | 1 | 1 | 0.58 | {
"citation_format_reward": 1,
"citation_avg_claim_recall": 0.3,
"citation_avg_claim_precision": 0.7,
"citation_avg_claim_f1": 0.3,
"citation_paper_reward": 0.5800000000000001,
"citation_claim_count": 10,
"citation_uncited_claim_count": 5,
"citation_score_applicable": 1
} | <answer>
<snippet id=S_Mw3VyuD>Anthropic’s Claude 3.5 Sonnet has a 200,000‑token context window</snippet>, and <snippet id=S_bCNUM6Q>for Claude Sonnet 3.7 you can include the beta header "output-128k-2025-02-19" to increase the maximum output token length to 128k tokens</snippet>. <snippet id=S_c03gLNu>Anthropic’s Help... | {"positive_rubrics": [{"title": "200K Context Window For Claude 3.5", "description": "States that Claude 3.5 Sonnet has a 200,000 token context window, citing at least one relevant snippet."}, {"title": "1M Context Window For Claude Sonnet 4", "description": "States that Claude Sonnet 4 supports a 1-million token conte... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is looking for a direct statement from the Smithsonian that Egyptian pyramids were tombs for pharaohs. Let me examine the snippets to see if they contain this specific information.
Snippet S_bdhZL5N - Discusses tombos pyramids serving as final resting place for low-status workers, not pharaohs specifically.
... | {
"sample_id": "traj99_turn4",
"traj_idx": 99,
"turn_index": 4,
"tool_name": "google_search",
"tool_query": "Smithsonian Egyptian pyramids tombs site:smithsonianmag.com",
"refiner_mode": "answer_only",
"stop_reason": "stop",
"accepted": true,
"pass": 1
} | 1 | 1 | 0.571429 | {
"citation_format_reward": 1,
"citation_avg_claim_recall": 0.2857142857142857,
"citation_avg_claim_precision": 0.7142857142857143,
"citation_avg_claim_f1": 0.2857142857142857,
"citation_paper_reward": 0.5714285714285714,
"citation_claim_count": 7,
"citation_uncited_claim_count": 3,
"citation_score_appl... | <answer>
<snippet id="S_j0NBmtm">Smithsonian notes that the pyramid complex of Djoser was a tomb, with debris used to block passage to its burial chambers</snippet>. <snippet id="S_Gi1K83P">At the Great Pyramid site, Smithsonian describes surface-level tombs with vertical shafts connected to underground chambers</snipp... | {"positive_rubrics": [{"title": "Explicitly Notes Lack of Direct Confirmation", "description": "Clearly states that none of the Smithsonian snippets provide a direct, explicit statement confirming that Egyptian pyramids were specifically tombs for pharaohs, and cites relevant snippet IDs."}, {"title": "Summarizes Indir... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user is asking me to directly answer the agent's query about the wealthiest country in the Middle East based on the search results provided. The agent is specifically looking for information about GDP per capita in the Middle East, with Qatar being expected to be first.
Looking at the search results:
1. S_Nx9xCEh ... | {
"sample_id": "traj93_turn0",
"traj_idx": 93,
"turn_index": 0,
"tool_name": "google_search",
"tool_query": "IMF richest country in the Middle East GDP per capita 2024 Qatar",
"refiner_mode": "answer_only",
"stop_reason": "stop",
"accepted": true,
"pass": 1
} | 1 | 1 | 0.6 | {
"citation_format_reward": 1,
"citation_avg_claim_recall": 0.3333333333333333,
"citation_avg_claim_precision": 1,
"citation_avg_claim_f1": 0.3333333333333333,
"citation_paper_reward": 0.6,
"citation_claim_count": 6,
"citation_uncited_claim_count": 3,
"citation_score_applicable": 1
} | <answer>
<snippet id=S_Nx9xCEh>Qatar is the wealthiest country in the Middle East</snippet>. <snippet id=S_LoVMEjN>In 2025 global GDP-per-capita rankings, Qatar is listed first at $168,308, ahead of Macao SAR ($127,432) and Luxembourg ($97,267)</snippet>. Therefore, <snippet id=S_Nx9xCEh>Qatar is the wealthiest country... | {"positive_rubrics": [{"title": "Qatar GDP Per Capita Figure", "description": "States that Qatar is the wealthiest country in the Middle East by GDP per capita and provides at least one specific GDP per capita figure for Qatar, correctly cited."}, {"title": "2025 Data Attribution", "description": "Cites a 2025 or most ... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user is asking me to help them understand the current state of information about GDP per capita (PPP) in the Middle East, specifically looking for authoritative IMF data for 2024/2025 showing Qatar's ranking.
Let me analyze what the search results actually show:
1. S_4XU2Ctp - Shows PPP per capita data mapper URL... | {
"sample_id": "traj93_turn1",
"traj_idx": 93,
"turn_index": 1,
"tool_name": "google_search",
"tool_query": "IMF PPP GDP per capita 2025 Qatar PPPPC site:imf.org",
"refiner_mode": "answer_only",
"stop_reason": "stop",
"accepted": true,
"pass": 1
} | 1 | 1 | 0.6 | {
"citation_format_reward": 1,
"citation_avg_claim_recall": 0.3333333333333333,
"citation_avg_claim_precision": 0.7777777777777778,
"citation_avg_claim_f1": 0.3333333333333333,
"citation_paper_reward": 0.6,
"citation_claim_count": 9,
"citation_uncited_claim_count": 5,
"citation_score_applicable": 1
} | <answer>
<snippet id=S_4XU2Ctp,S_aqC2A89>The IMF’s World Economic Outlook Datamapper provides a GDP per capita series measured at purchasing power parity (PPP) in international dollars (indicator PPPPC)</snippet>. <snippet id=S_PCODRCY>The IMF also has a Qatar country profile with 2025 data and GDP per capita fields</s... | {"positive_rubrics": [{"title": "States Lack Of Direct Ranking", "description": "Clearly states that no snippet provides a direct, authoritative Middle East ranking by GDP per capita (PPP) for 2025."}, {"title": "Summarizes Relevant IMF PPP Data", "description": "Mentions the existence of IMF data sources for GDP per c... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants me to answer the agent's query about which country is the "wealthiest" in the Middle East based on GDP per capita PPP. The agent is looking for authoritative confirmation, preferably from World Bank, IMF, or Statista sources.
Looking at the search results, I have one snippet (S_hKyYObq) that specificall... | {
"sample_id": "traj93_turn2",
"traj_idx": 93,
"turn_index": 2,
"tool_name": "google_search",
"tool_query": "Qatar highest GDP per capita PPP Middle East 2024 site:imf.org OR site:worldbank.org OR site:statista.com",
"refiner_mode": "answer_only",
"stop_reason": "stop",
"accepted": true,
"pass": 1
} | 1 | 1 | 0.5 | {
"citation_format_reward": 1,
"citation_avg_claim_recall": 0.16666666666666666,
"citation_avg_claim_precision": 1,
"citation_avg_claim_f1": 0.16666666666666666,
"citation_paper_reward": 0.5,
"citation_claim_count": 6,
"citation_uncited_claim_count": 3,
"citation_score_applicable": 1
} | <answer>
<snippet id=S_hKyYObq,S_NVPsbYo>Measured by GDP per capita at purchasing power parity (PPP), Qatar is the wealthiest country in the Middle East</snippet>. <snippet id=S_hKyYObq>World Bank 2024 data list Qatar’s GDP per capita (PPP) at about 126,110 international dollars, while Saudi Arabia is about 71,243, und... | {"positive_rubrics": [{"title": "States Qatar's PPP GDP Per Capita", "description": "Explicitly states Qatar's GDP per capita in PPP terms for 2024 as $126,110.1, with correct snippet citation."}, {"title": "Confirms Qatar Leads Middle East", "description": "Clearly states that Qatar has the highest GDP per capita (PPP... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants a short-form answer (single country name) about the wealthiest country in the Middle East by GDP per capita (PPP), backed by authoritative data. The agent's reasoning indicates they need to confirm that Qatar leads in the Middle East, including non-Arab countries like Israel.
Looking at the search resul... | {
"sample_id": "traj93_turn3",
"traj_idx": 93,
"turn_index": 3,
"tool_name": "google_search",
"tool_query": "Statista richest countries in the Middle East GDP per capita PPP 2024 Qatar",
"refiner_mode": "answer_only",
"stop_reason": "stop",
"accepted": true,
"pass": 1
} | 1 | 1 | 0.475 | {
"citation_format_reward": 1,
"citation_avg_claim_recall": 0.125,
"citation_avg_claim_precision": 0.625,
"citation_avg_claim_f1": 0.125,
"citation_paper_reward": 0.47500000000000003,
"citation_claim_count": 8,
"citation_uncited_claim_count": 4,
"citation_score_applicable": 1
} | <answer>
<snippet id=S_fktPFzV>Qatar ranks first worldwide in GDP per capita (constant prices) in Global Finance Magazine’s 2025 list</snippet>. <snippet id=S_jFYVo1W>Statista also estimates Qatar’s GDP per capita at 71,580 U.S. dollars in 2024</snippet>. <snippet id=S_fktPFzV>Accordingly, Qatar is the wealthiest count... | {"positive_rubrics": [{"title": "Qatar Highest PPP Per Capita", "description": "States that Qatar is the wealthiest country in the Middle East by GDP per capita (PPP), citing at least one snippet with a specific PPP per capita value for Qatar."}, {"title": "Comparison With Regional Peers", "description": "Explicitly co... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants to know about alternatives to Docling, specifically looking for information on Apache Tika and GROBID. The tool call was made to search for these official pages, and I have received some search snippets.
Let me analyze the snippets:
- S_9TqDdpv: Tika is a toolkit for detecting and extracting metadata an... | {
"sample_id": "traj63_turn4",
"traj_idx": 63,
"turn_index": 4,
"tool_name": "google_search",
"tool_query": "Apache Tika content analysis toolkit site:apache.org GROBID bibliographic extraction official",
"refiner_mode": "answer_only",
"stop_reason": "stop",
"accepted": true,
"pass": 1
} | 1 | 1 | 0.64 | {
"citation_format_reward": 1,
"citation_avg_claim_recall": 0.4,
"citation_avg_claim_precision": 0.8,
"citation_avg_claim_f1": 0.4,
"citation_paper_reward": 0.64,
"citation_claim_count": 5,
"citation_uncited_claim_count": 1,
"citation_score_applicable": 1
} | <answer>
<snippet id="S_9TqDdpv,S_BpzknZY">Apache Tika is a toolkit for content detection, analysis, and extraction that detects and extracts metadata and structured text from various documents using existing parser libraries.</snippet> <snippet id="S_r5Jddiy,S_gguj5KQ">GROBID (GeneRation Of BIbliographic Data) is a ma... | {"positive_rubrics": [{"title": "Tika Functionality Summary", "description": "Clearly states that Apache Tika is a toolkit for detecting and extracting metadata and structured text content from various documents, citing relevant snippets."}, {"title": "GROBID Purpose and Integration", "description": "Accurately describ... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants me to answer the agent's query based on the raw search results. The agent is trying to identify a filmmaker whose feature film included Samantha Bond and Phyllida Law, and was recognized at Celtic Film and Television Festival and BIFA, and who also created a series with a Monty Python member and produced... | {
"sample_id": "traj48_turn0",
"traj_idx": 48,
"turn_index": 0,
"tool_name": "google_search",
"tool_query": "Samantha Bond Phyllida Law film feature",
"refiner_mode": "answer_only",
"stop_reason": "stop",
"accepted": true,
"pass": 1
} | 1 | 1 | 0.6 | {
"citation_format_reward": 1,
"citation_avg_claim_recall": 0.3,
"citation_avg_claim_precision": 1,
"citation_avg_claim_f1": 0.3333333333333333,
"citation_paper_reward": 0.6,
"citation_claim_count": 5,
"citation_uncited_claim_count": 2,
"citation_score_applicable": 1
} | <answer>
The filmmaker is <snippet id=89935,52331>Eleanor Yule, who directed the feature Blinded (2004)</snippet>, <snippet id=89935,17090,52331>which includes Samantha Bond and Phyllida Law in its cast</snippet>.
</answer> | {"positive_rubrics": [{"title": "Identifies Film and Director", "description": "Names 'Blinded' as the feature film including both Samantha Bond and Phyllida Law, and attributes its direction and writing to Eleanor Yule, citing appropriate snippets."}, {"title": "States Role Details", "description": "Specifies the char... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user is asking for information about arbovirus polyinfection, specifically focusing on CNS health implications, immunological interactions, and empirical data from Ecuador and Thailand. The first query in the search plan is a broad review-level search on arbovirus co-infection/sequential infection and CNS involveme... | {
"sample_id": "traj41_turn0",
"traj_idx": 41,
"turn_index": 0,
"tool_name": "snippet_search",
"tool_query": "arbovirus coinfection sequential infection dengue zika chikungunya yellow fever central nervous system review",
"refiner_mode": "answer_only",
"stop_reason": "stop",
"accepted": true,
"pass": ... | 1 | 1 | 0.676923 | {
"citation_format_reward": 1,
"citation_avg_claim_recall": 0.46153846153846156,
"citation_avg_claim_precision": 1,
"citation_avg_claim_f1": 0.46153846153846156,
"citation_paper_reward": 0.676923076923077,
"citation_claim_count": 13,
"citation_uncited_claim_count": 7,
"citation_score_applicable": 1
} | <answer>
<snippet id="S_MAMbc00">In urban settings, chikungunya, Zika, and dengue viruses are transmitted by Aedes aegypti, they co-circulate in several regions, and coinfection in humans and vectors has been frequently reported</snippet>. <snippet id="S_MAMbc00">Experimental sequential exposure of Aedes aegypti to chi... | {"positive_rubrics": [{"title": "Epidemiological Coinfection Evidence", "description": "States that arbovirus coinfections (including Dengue, Zika, Chikungunya) are epidemiologically documented in regions where these viruses co-circulate, citing relevant snippets."}, {"title": "CNS Involvement in Coinfection", "descrip... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants information about Creately's pricing and mobile app availability (iOS/Android).
Looking at the snippets:
- S_zUZQ6UV: Shows plans & pricing page, mentions Free plan, Personal $5/month (or similar, text cuts off)
- S_7p6JOEj: States "Yes, Creately offers mobile apps for both iOS and Android devices" and ... | {
"sample_id": "traj61_turn6",
"traj_idx": 61,
"turn_index": 6,
"tool_name": "google_search",
"tool_query": "Creately pricing mobile app iOS Android",
"refiner_mode": "answer_only",
"stop_reason": "stop",
"accepted": true,
"pass": 1
} | 1 | 1 | 0.4 | {
"citation_format_reward": 1,
"citation_avg_claim_recall": 0,
"citation_avg_claim_precision": 0.5,
"citation_avg_claim_f1": 0,
"citation_paper_reward": 0.4,
"citation_claim_count": 8,
"citation_uncited_claim_count": 4,
"citation_score_applicable": 1
} | <answer>
<snippet id=S_zUZQ6UV>Creately’s official plans page lists a Free plan at $0 per user per month and a paid Personal plan</snippet>. <snippet id=S_TI0W7Y8>Creately is positioned as a visual collaboration and diagramming platform</snippet>. <snippet id=S_CtGsnOO,S_7p6JOEj>Third-party sources conflict on mobile a... | {"positive_rubrics": [{"title": "Comprehensive Pricing Details", "description": "States Creately's free plan, paid plan starting price, and mentions bulk/team pricing with appropriate snippet citations."}, {"title": "Mobile App Availability and Conflicts", "description": "Explicitly addresses the conflicting informatio... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants me to answer the agent's query about the effectiveness of transcutaneous/transauricular auricular vagus nerve stimulation (taVNS/tVNS) for disorders of consciousness (DoC), specifically for coma, vegetative state, or minimally conscious state patients. I need to use the provided search snippets to constr... | {
"sample_id": "traj76_turn0",
"traj_idx": 76,
"turn_index": 0,
"tool_name": "snippet_search",
"tool_query": "transcutaneous auricular vagus nerve stimulation disorders of consciousness randomized sham CRS-R coma minimally conscious",
"refiner_mode": "answer_only",
"stop_reason": "stop",
"accepted": tru... | 1 | 1 | 0.65 | {
"citation_format_reward": 1,
"citation_avg_claim_recall": 0.4166666666666667,
"citation_avg_claim_precision": 1,
"citation_avg_claim_f1": 0.4166666666666667,
"citation_paper_reward": 0.65,
"citation_claim_count": 12,
"citation_uncited_claim_count": 6,
"citation_score_applicable": 1
} | <answer>
<snippet id="S_y0bGk0N">In a randomized, double-blinded, sham-controlled trial with 60 patients (28 active tVNS, 29 sham), active transauricular vagus nerve stimulation produced higher CRS-R consciousness scores (10.93 ± 4.99) than sham (9.28 ± 4.38), with greater effects in minimally conscious state patients,... | {"positive_rubrics": [{"title": "RCT Outcomes and Statistical Significance", "description": "Clearly states that randomized, double-blinded, sham-controlled trials of taVNS in DoC patients showed improved consciousness scores in the active group compared to sham, but that these differences were not statistically signif... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user is asking me to search for systematic reviews and meta-analyses on taVNS/tVNS for disorders of consciousness (DoC), specifically focusing on the search terms provided.
Looking at the tool output, I can see several snippets:
1. S_iLahJYd - mechanisms and applications paper (not a review)
2. S_3AEtqZZ - hypothe... | {
"sample_id": "traj76_turn1",
"traj_idx": 76,
"turn_index": 1,
"tool_name": "snippet_search",
"tool_query": "systematic review meta-analysis transcutaneous auricular vagus nerve stimulation disorders of consciousness CRS-R",
"refiner_mode": "answer_only",
"stop_reason": "stop",
"accepted": true,
"pas... | 1 | 1 | 0.566667 | {
"citation_format_reward": 1,
"citation_avg_claim_recall": 0.25,
"citation_avg_claim_precision": 1,
"citation_avg_claim_f1": 0.27777777777777773,
"citation_paper_reward": 0.5666666666666667,
"citation_claim_count": 6,
"citation_uncited_claim_count": 1,
"citation_score_applicable": 1
} | <answer>
<snippet id=S_i5keHva>A systematic review and meta-analysis has assessed the safety of transcutaneous auricular vagus nerve stimulation (taVNS)</snippet>, and <snippet id=S_MdTb91n>a scoping review summarizes the clinical applications of taVNS</snippet>. <snippet id=S_iLahJYd>In the disorders of consciousness ... | {"positive_rubrics": [{"title": "Safety-Focused Systematic Review", "description": "States that a systematic review and meta-analysis of taVNS exists but focuses on safety rather than efficacy, citing S_i5keHva."}, {"title": "No Efficacy Systematic Review Found", "description": "Clearly states that no systematic review... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The agent is asking me to confirm the "首次发布" (first release) month of a notice from Taiyuan University of Technology's School of Computer Science and Technology (Big Data School). They want to verify the on-page timestamp to confirm September 2024.
However, the search result shows that the on-page publication date is ... | {
"sample_id": "traj6_turn1",
"traj_idx": 6,
"turn_index": 1,
"tool_name": "browse_webpage",
"tool_query": "https://ccst.tyut.edu.cn/info/2123/10711.htm",
"refiner_mode": "answer_only",
"stop_reason": "stop",
"accepted": true,
"pass": 1
} | 1 | 1 | 0.6 | {
"citation_format_reward": 1,
"citation_avg_claim_recall": 0.6666666666666666,
"citation_avg_claim_precision": 0.6666666666666666,
"citation_avg_claim_f1": 0.3333333333333333,
"citation_paper_reward": 0.6,
"citation_claim_count": 3,
"citation_uncited_claim_count": 2,
"citation_score_applicable": 1
} | <answer>
<snippet id=S_KESwQ4j>On the page for the 2024–2025 autumn semester graduate course schedule at Taiyuan University of Technology’s School of Computer Science and Technology (Big Data School), the on-page publication date (发布时间) is not explicitly mentioned in the provided text</snippet>. <snippet id=S_KESwQ4j>T... | {"positive_rubrics": [{"title": "States Absence Of On-Page Date", "description": "Clearly states, with citation, that the on-page publication date is not explicitly mentioned in the provided text."}], "negative_rubrics": [{"title": "Unsubstantiated Date Assertion", "description": "Asserts or implies a specific publicat... |
[
{
"role": "system",
"content": "You are a research refinement assistant. Your job is to directly answer the agent's query using the raw search results, with inline citations.\n\n## Input\nYou will receive:\n1. The reasoning agent's current thinking and the search query it issued.\n2. The raw tool output con... | The user wants me to answer the agent's query based on the raw search results. The agent is looking for corroboration that Andrea di Alessandro was born in Brescia, specifically wanting to check Getty ULAN or Fondazione Zeri entries.
Looking at the search results from this query "Getty ULAN Andrea di Alessandro Bresci... | {
"sample_id": "traj114_turn3",
"traj_idx": 114,
"turn_index": 3,
"tool_name": "google_search",
"tool_query": "Getty ULAN \"Andrea di Alessandro\" Bresciano",
"refiner_mode": "answer_only",
"stop_reason": "stop",
"accepted": true,
"pass": 1
} | 1 | 1 | 0.64 | {
"citation_format_reward": 1,
"citation_avg_claim_recall": 0.4,
"citation_avg_claim_precision": 1,
"citation_avg_claim_f1": 0.4,
"citation_paper_reward": 0.64,
"citation_claim_count": 5,
"citation_uncited_claim_count": 2,
"citation_score_applicable": 1
} | <answer>
<snippet id=S_BkNLL2f>Andrea di Alessandro was an Italian sculptor also known as Andrea di Alessandro Bresciano</snippet>. <snippet id=S_64z5WPU>He was born in Brescia</snippet>. <snippet id=S_BkNLL2f>He is also identified with Andrea Baruzzi</snippet>.
</answer> | {"positive_rubrics": [{"title": "States Brescia Birth", "description": "Explicitly states that Andrea di Alessandro was born in Brescia, citing the relevant snippet."}, {"title": "Notes Lack of Getty ULAN Result", "description": "Clearly notes that the search did not return a direct Getty ULAN or Fondazione Zeri entry ... |
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