conversations listlengths 3 3 | thinking stringlengths 177 43.2k | metadata stringlengths 202 1.72k | format_bonus float64 1 1 | citation_format_reward float64 1 1 | citation_paper_reward float64 0.7 1 | citation_metrics stringlengths 262 324 | format_analysis stringclasses 0
values | gpt54_generation stringlengths 54 1.84k ⌀ |
|---|---|---|---|---|---|---|---|---|
[
{
"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 to extract the "Web & Desktop Community Integrations" list from the Ollama GitHub page. The search results provide this list directly in snippet S_DgXnmx5.
Let me verify what information is available:
- The snippet clearly shows the "Web & Desktop Community Integrations" section with all items lis... | {"sample_id": "traj31_turn0", "traj_idx": 31, "turn_index": 0, "tool_name": "browse_webpage", "tool_query": "https://github.com/ollama/ollama", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.8 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6666666666666666, "citation_avg_claim_precision": 0.8333333333333334, "citation_avg_claim_f1": 0.6666666666666666, "citation_paper_reward": 0.8, "citation_claim_count": 6.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_DgXnmx5">The Ollama GitHub page’s “Web & Desktop Community Integrations” section includes a long list starting with Open WebUI and continuing through projects such as SwiftChat, Enchanted, LibreChat, AnythingLLM, Lobe Chat, BrainSoup, Harbor, and PyGPT, with the snippet ending at a truncated “Al... |
[
{
"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 specific dual enrollment statistic about how many students were added in the last year from the EducationDynamics "Key Findings" page.
Looking at the raw tool output, I can see the relevant information in the snippet. The text states that "Dual Enrollment programs have seen a significant inc... | {"sample_id": "traj105_turn1", "traj_idx": 105, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://www.educationdynamics.com/key-findings-2025-landscape-report/", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.76 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.6, "citation_paper_reward": 0.76, "citation_claim_count": 5.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_QPfFoAN>EducationDynamics reports that dual enrollment programs added over 100,000 students in the last year</snippet>, and <snippet id=S_QPfFoAN>this represented growth of more than 10%</snippet>. <snippet id=S_QPfFoAN>The increase accounted for nearly 28.1% of the overall rise in undergraduate ... |
[
{
"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 specific dispute rate reported by Robert K. Merton for simultaneous discoveries in the 17th century, as stated in Wikipedia's "Academic publishing" article.
Let me look at the snippets provided:
1. S_xtVhZmB - From "Academic publishing" Wikipedia page, it mentions "simultaneous discovery in... | {"sample_id": "traj0_turn0", "traj_idx": 0, "turn_index": 0, "tool_name": "google_search", "tool_query": "Wikipedia Academic publishing Merton dispute rate simultaneous discoveries 17th century", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.914286 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.8571428571428571, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.8571428571428571, "citation_paper_reward": 0.9142857142857143, "citation_claim_count": 7.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_xtVhZmB">The provided Wikipedia “Academic publishing” search snippet says that simultaneous discoveries in the 17th century ended in dispute, but the exact 17th-century percentage is truncated and not visible in the snippet</snippet>. <snippet id="S_xtVhZmB">The same snippet does show that the d... |
[
{
"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 information about which well-known universities and cities H3C's Intelligent Technology Institute (智能技术研修院) partnered with in 2018 to run intelligent technology talent training classes.
Looking at the search results, I found a relevant snippet:
- <snippet id="S_bfcfcqj"> mentions: "新华三人才研学中心"智... | {"sample_id": "traj21_turn0", "traj_idx": 21, "turn_index": 0, "tool_name": "google_search", "tool_query": "\u65b0\u534e\u4e09 \u667a\u80fd\u6280\u672f\u7814\u4fee\u9662 2018 \u9ad8\u6821 \u57ce\u5e02 \u667a\u80fd\u6280\u672f \u4eba\u624d \u57f9\u8bad\u73ed", "refiner_mode": "answer_only", "stop_reason": "stop", "accep... | 1 | 1 | 0.76 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.6, "citation_paper_reward": 0.76, "citation_claim_count": 5.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_bfcfcqj">新华三集团“智能技术研修院”介绍显示，其在2018年前后曾携手清华大学、浙江大学等名校，以及杭州市、贵阳市等大数据名城，开设智能技术人才培训班</snippet>。<snippet id="S_bfcfcqj">因此，已明确提到的知名高校是清华大学和浙江大学，对应城市是杭州市和贵阳市</snippet>。<snippet id="S_nJaWNpo">另有新华三页面提到，2018年暑期其人才研学中心推出了“校企合作教师培训”计划</snippet>，但<snippet id="S_nJaWNpo">该片段未补充更多具体高校或城市名单</snippet>。
</answ... |
[
{
"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 information about the "智能技术研修院" (Intelligent Technology Academy), specifically wanting to verify the year 2018 and extract the exact names of universities and cities it partnered with.
Looking at the search result snippet S_6FicwEB:
- It confirms 2018 as the founding year: "2018年，新华三人才研学中心"智能技... | {"sample_id": "traj21_turn1", "traj_idx": 21, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://www.h3c.com/cn/Training/Intellectual_Technology/Introduce/", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 3.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_6FicwEB>新华三人才研学中心“智能技术研修院”于2018年正式成立</snippet>，<snippet id=S_6FicwEB>并与清华大学、浙江大学等知名高校合作</snippet>；<snippet id=S_6FicwEB>同时还在杭州市、贵阳市等大数据名城开设了智能技术人才培训班</snippet>。
</answer> |
[
{
"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 which iPhone models are supported by the newest iOS version. The agent is looking for an official Apple list.
Looking at the snippets:
- Snippet S_bm2GEQc mentions "iPhone models compatible with iOS 18 - Apple Support" and says it's compatible with "Three..." (appears cut off)
- Snippet S_2DpW2M... | {"sample_id": "traj75_turn0", "traj_idx": 75, "turn_index": 0, "tool_name": "google_search", "tool_query": "iOS 18 compatible devices site:apple.com", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 4.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_bm2GEQc,S_2DpW2M0>Yes—Apple provides an official list of iPhone models compatible with iOS 18 on both an Apple Support page and the iOS 18 page on apple.com</snippet>. <snippet id=S_bm2GEQc>The Apple Support guide states that iOS 18.6 is compatible with listed iPhone models</snippet>. <snippet id... |
[
{
"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 step-by-step instructions to switch Edge from Bing to Google for macOS, specifically for:
(a) address bar searches
(b) new tab behavior
(c) homepage/startup pages
They need authoritative Microsoft support page citations. The query was about changing the default search engine in Microsoft Edge ... | {"sample_id": "traj32_turn0", "traj_idx": 32, "turn_index": 0, "tool_name": "google_search", "tool_query": "Change default search engine Microsoft Edge macOS address bar and search site:support.microsoft.com", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.7 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.5, "citation_paper_reward": 0.7, "citation_claim_count": 4.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_pJURrej">Microsoft’s “Change your default search engine in Microsoft Edge” support article says to open Settings and more > Settings > Privacy, search, and services > Search and connected services > Address bar and search.</snippet> <snippet id="S_pJURrej">That “Address bar and searc... |
[
{
"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 instructions on how to change the home page/startup page in Microsoft Edge on macOS, and potentially information about the "Search on new tabs uses address bar" setting. The agent wants authoritative Microsoft support information.
Looking at the search results:
- S_994cP1E: About making Edge the... | {"sample_id": "traj32_turn1", "traj_idx": 32, "turn_index": 1, "tool_name": "google_search", "tool_query": "Change home page Microsoft Edge macOS site:support.microsoft.com", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.8 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6666666666666666, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.6666666666666666, "citation_paper_reward": 0.8, "citation_claim_count": 3.0, "citation_uncited_claim_count": 1.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_qH1SWZg">Microsoft Support says you can set your home page in Edge by going to Settings and more > Settings > Start, home, and new tab page</snippet>. <snippet id="S_64T5qBB">It also notes that most Edge tools and options are under Settings and more > Settings, including settings such as your br... |
[
{
"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 for per-department counts of "面上" (General Program) applications from the 2023 NSFC centralized submission period at Jinan University, specifically to identify which department had the most applications and the count.
Looking at the raw tool output from the webpage browse, I have clear information:... | {"sample_id": "traj111_turn1", "traj_idx": 111, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://xxxy.jnu.edu.cn/2023/0322/c27547a740207/page.htm", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.76 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.6, "citation_paper_reward": 0.76, "citation_claim_count": 5.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_hDeT6kK">暨南大学信息科学技术学院在2023年国家自然科学基金集中受理期共申报68项，其中面上项目34项</snippet>。<snippet id="S_hDeT6kK">各单位面上项目申报数包括：网络空间安全系8项、数学系7项、电子工程系6项、计算机科学系6项、新能源技术研究院4项</snippet>。<snippet id="S_hDeT6kK">其中面上项目申报数量最多的是网络空间安全系，共8项</snippet>。
</answer> |
[
{
"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 per-department breakdown of NSFC (National Natural Science Foundation) projects from a college webpage. They previously found that the Cybersecurity department tops with 8 "面上" projects, but now they want to browse the page without summarizer to capture the raw Chinese content and exact num... | {"sample_id": "traj111_turn2", "traj_idx": 111, "turn_index": 2, "tool_name": "browse_webpage", "tool_query": "https://xxxy.jnu.edu.cn/2023/0322/c27547a740207/page.htm", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.933333 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.8333333333333334, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.8888888888888888, "citation_paper_reward": 0.9333333333333333, "citation_claim_count": 3.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_QFqJFmg">This college news page states that the 2023 National Natural Science Foundation application work concluded with 68 total submissions, 4 more than the previous year.</snippet> <snippet id="S_QFqJFmg">Its category breakdown was 2 distinguished young scholars, 1 key project, 6 joint fund 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 the years when Michael Colin Cowdrey played cricket for Oxford University. Let me examine the snippets to find this information.
From the snippets:
- S_tTCfbQI (CricketArchive): Lists "Oxford University (Main FC: 1952-1954)"
- S_6ufw6a3 (Find a Grave): States "played for Oxford University fro... | {"sample_id": "traj5_turn0", "traj_idx": 5, "turn_index": 0, "tool_name": "google_search", "tool_query": "Michael Colin Cowdrey Oxford University cricket years", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.733333 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5555555555555556, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.5555555555555556, "citation_paper_reward": 0.7333333333333334, "citation_claim_count": 9.0, "citation_uncited_claim_count": 4.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_yGvl252">Michael Colin Cowdrey attended Brasenose College, Oxford</snippet>, and <snippet id="S_KOmLC3n,S_tTCfbQI">he represented Oxford University in first-class cricket from 1952 to 1954</snippet>. <snippet id="S_tTCfbQI">CricketArchive lists his Oxford University career as “Main FC: 1952-1954... |
[
{
"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 explicit confirmation that Contest is in France from a geospatial database (GeoNames), as well as additional supporting sources. They've already searched and received some results.
Let me analyze what snippets are relevant:
- S_GB8c9Ub: GeoNames entry for Mayenne, France - mentions GeoNames da... | {"sample_id": "traj126_turn2", "traj_idx": 126, "turn_index": 2, "tool_name": "google_search", "tool_query": "GeoNames Contest Mayenne", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 4.0, "citation_uncited_claim_count": 1.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_KLzRctW">Contest, Mayenne is a commune in the Mayenne department in north-western France</snippet>. <snippet id="S_ELJbb4h">A separate source for Contest explicitly lists its country as France and gives the INSEE municipality code 53074</snippet>. <snippet id="S_JlqOMna">Another listing also ide... |
[
{
"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 analyze the search results for "Wikidata Contest Mayenne" and write a concise paragraph answering the agent's query about finding the Wikidata entry for Contest (the commune in Mayenne, France) to explicitly identify the country.
Looking at the snippets:
- S_PReE6oO mentions "Église Saint-Martin d... | {"sample_id": "traj126_turn3", "traj_idx": 126, "turn_index": 3, "tool_name": "google_search", "tool_query": "Wikidata Contest Mayenne", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.76 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.6, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.6, "citation_paper_reward": 0.76, "citation_claim_count": 5.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_PReE6oO">This search did not return the Wikidata item for the commune of Contest itself; the only Wikidata hit shown is “Église Saint-Martin de Contest.”</snippet> <snippet id="S_PReE6oO">That result describes the church as “located in Mayenne, in France.”</snippet> <snippet id="S_EaNhkol,S_2AKV... |
[
{
"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 for causal evidence on the economic effects of the Trump-era Section 301 and Section 232 tariffs (2018-2019), specifically looking for welfare, prices, employment, and sectoral impacts. They want me to search for Fajgelbaum et al.'s paper "The Return to Protectionism" and other empirical studies to ... | {"sample_id": "traj25_turn0", "traj_idx": 25, "turn_index": 0, "tool_name": "snippet_search", "tool_query": "\"The Return to Protectionism\" Fajgelbaum tariffs welfare employment prices 2019 2020", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.9 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.8333333333333334, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.8333333333333334, "citation_paper_reward": 0.9, "citation_claim_count": 6.0, "citation_uncited_claim_count": 1.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_uXLDjGU">Fajgelbaum et al.’s analysis of the 2018 Trump tariffs covers the main tariff waves, including January tariffs on solar panels and washing machines, March tariffs on steel and aluminum, and later 25 percent tariffs on large volumes of Chinese imports beginning in July 2018.</snippet> <s... |
[
{
"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 information about DDR6 status, timeline, and vendors. Let me analyze the snippets to extract relevant information.
Key information from snippets:
1. S_o7SKEgq: JEDEC finalized DDR6 draft specification in late 2024, LPDDR6 in Q2 2025, 2026 launch, 2027 expansion
2. S_rFZdsMU: DDR6 expected to l... | {"sample_id": "traj4_turn0", "traj_idx": 4, "turn_index": 0, "tool_name": "google_search", "tool_query": "DDR6 JEDEC status timeline vendor", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.866667 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.75, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.7777777777777777, "citation_paper_reward": 0.8666666666666666, "citation_claim_count": 6.0, "citation_uncited_claim_count": 1.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_Nagytxb">JEDEC’s official main-memory page says DDR6 is still in development within the JC-42 Committee for Solid State Memories</snippet>. <snippet id="S_jaLVIsT">JEDEC has already released the JESD209-6 LPDDR6 standard</snippet>, while <snippet id="S_UbbefO9">a July 22, 2024 JEDEC press releas... |
[
{
"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 search results. The agent was looking for:
1. PCIe 7.0 official status from PCI-SIG
2. Key goals/timeline
3. Vendor activity (though this search result focuses on PCI-SIG announcements)
From the search results, I can extract:
- PCIe 7.0 specification status (m... | {"sample_id": "traj4_turn1", "traj_idx": 4, "turn_index": 1, "tool_name": "google_search", "tool_query": "PCIe 7.0 site:pcisig.com", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.742857 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5714285714285714, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.5714285714285714, "citation_paper_reward": 0.7428571428571429, "citation_claim_count": 7.0, "citation_uncited_claim_count": 2.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_vjuw6rx,S_CEFBvRo">PCI-SIG says the PCIe 7.0 specification is now available to members, with Version 0.9 described as a final draft for member review</snippet>. <snippet id="S_f9xWV91,S_QXJ5dTN">Its headline goal is 128 GT/s, doubling PCIe 6.0’s data rate, and PCIe 7.0 uses PAM4 signaling to rea... |
[
{
"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 a query based on the provided search result. The agent's reasoning indicates they are looking for information about Flume's Coachella AR cockatoo, specifically to confirm the year (2022) and context.
I need to write a short paragraph (3-6 sentences) that directly answers the query using inf... | {"sample_id": "traj50_turn0", "traj_idx": 50, "turn_index": 0, "tool_name": "browse_webpage", "tool_query": "https://time.com/6168688/coachella-enters-the-metaverse/", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.7 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.5, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 0.5, "citation_paper_reward": 0.7, "citation_claim_count": 6.0, "citation_uncited_claim_count": 3.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_zYahbm1>Flume 的 Coachella 直播发生在 2022 年 4 月 21 日，并在演出中加入了增强现实元素，包括巨大的澳洲鹦鹉和迷幻视觉效果。</snippet> <snippet id=S_zYahbm1>这次合作被描述为 Coachella 音乐节直播中首次整合 AR 技术，且这些 AR 画面仅供线上观众观看。</snippet>
</answer> |
[
{
"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 verify the author of "Visst katten har djuren själ!" by browsing the Swedish Wikipedia page. The raw tool output contains a snippet with information about the book and its author.
Looking at the snippet:
- Snippet id: S_QTxymD1
- It clearly states the author is Margit Sandemo
- Published in 1... | {"sample_id": "traj94_turn1", "traj_idx": 94, "turn_index": 1, "tool_name": "browse_webpage", "tool_query": "https://sv.wikipedia.org/wiki/Visst_katten_har_djuren_sj%C3%A4l!", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 1 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 1.0, "citation_avg_claim_precision": 1.0, "citation_avg_claim_f1": 1.0, "citation_paper_reward": 1.0, "citation_claim_count": 4.0, "citation_uncited_claim_count": 0.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id=S_QTxymD1>Author of “Visst katten har djuren själ!” is Margit Sandemo.</snippet> <snippet id=S_QTxymD1>The Swedish Wikipedia page describes the book as a 1994 collection of stories about encounters between humans and animals, published by Boknöje AB.</snippet> <snippet id=S_QTxymD1>It also notes th... |
[
{
"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 write a concise answer (3-6 sentences) using the provided search snippets. I need to extract information about Nvidia's Q2 FY2026 press release, specifically focusing on gross margin, guidance, and buyback information.
Let me analyze the snippets:
1. S_zSlt060: States $14.7 billion remaining unde... | {"sample_id": "traj86_turn1", "traj_idx": 86, "turn_index": 1, "tool_name": "google_search", "tool_query": "NVIDIA Q2 FY2026 press release gross margin guidance buyback", "refiner_mode": "answer_only", "stop_reason": "stop", "accepted": true, "pass": 1} | 1 | 1 | 0.8 | {"citation_format_reward": 1.0, "citation_avg_claim_recall": 0.8333333333333334, "citation_avg_claim_precision": 0.8333333333333334, "citation_avg_claim_f1": 0.6666666666666666, "citation_paper_reward": 0.8, "citation_claim_count": 6.0, "citation_uncited_claim_count": 1.0, "citation_score_applicable": 1.0} | null | <answer>
<snippet id="S_OP2WwC3">NVIDIA’s Q2 FY2026 revenue was reported at $46.7 billion, with $41.1 billion coming from data center sales and Blackwell cited as a major driver</snippet>. <snippet id="S_tfakv2z,S_mGOdXNu">Quarterly gross margin was about 72.4% on a GAAP basis and 72.7% on a non-GAAP basis</snippet>, a... |
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