Datasets:
id string | query string | domain string | expected_strong_sources list | per_source_raw_count dict | raw_total int64 | deduped_count int64 | duplicates_removed int64 | per_source_timing_sec dict | top_papers list |
|---|---|---|---|---|---|---|---|---|---|
q01 | graph neural networks for protein folding | ml_biology | [
"arxiv",
"semantic_scholar",
"openalex"
] | {
"arxiv": 15,
"pubmed": 15,
"semantic_scholar": 0
} | 30 | 30 | 0 | {
"arxiv": 0.35,
"pubmed": 1.73,
"semantic_scholar": 5.05
} | [
{
"title": "Gravitational Waves from hybrid defects as probe of Flavor symmetry breaking: Machine-Learning Approach",
"year": null,
"source": "arxiv",
"doi": "10.48550/arXiv.2605.31600",
"url": "https://arxiv.org/abs/2605.31600v1"
},
{
"title": "CoFiDA-M: Concept-Aware Feature Modulation... |
q02 | mechanistic interpretability of large language models | ml_interpretability | [
"arxiv",
"openalex"
] | {
"arxiv": 15,
"pubmed": 15,
"semantic_scholar": 0
} | 30 | 30 | 0 | {
"arxiv": 0.12,
"pubmed": 1.78,
"semantic_scholar": 4.01
} | [
{
"title": "Representation Forcing for Bottleneck-Free Unified Multimodal Models",
"year": null,
"source": "arxiv",
"doi": "10.48550/arXiv.2605.31604",
"url": "https://arxiv.org/abs/2605.31604v1"
},
{
"title": "Lumos-Nexus: Efficient Frequency Bridging with Homogeneous Latent Space for V... |
q03 | diffusion models for medical imaging | ml_medical | [
"arxiv",
"pubmed",
"semantic_scholar"
] | {
"arxiv": 15,
"pubmed": 15,
"semantic_scholar": 0
} | 30 | 30 | 0 | {
"arxiv": 0.12,
"pubmed": 1.46,
"semantic_scholar": 4.85
} | [
{
"title": "Representation Forcing for Bottleneck-Free Unified Multimodal Models",
"year": null,
"source": "arxiv",
"doi": "10.48550/arXiv.2605.31604",
"url": "https://arxiv.org/abs/2605.31604v1"
},
{
"title": "Lumos-Nexus: Efficient Frequency Bridging with Homogeneous Latent Space for V... |
q04 | reinforcement learning from human feedback | ml_alignment | [
"arxiv",
"openalex"
] | {
"arxiv": 0,
"pubmed": 15,
"semantic_scholar": 15
} | 30 | 30 | 0 | {
"arxiv": 63.97,
"pubmed": 1.7,
"semantic_scholar": 1.09
} | [
{
"title": "Reinforcement Learning from Human Feedback",
"year": null,
"source": "semantic_scholar",
"doi": "10.48550/arXiv.2504.12501",
"url": "https://www.semanticscholar.org/paper/18dc78d3f247f75aafca5422fe540f20b3cd455d"
},
{
"title": "Training a Helpful and Harmless Assistant with R... |
q05 | vision transformers self-supervised pretraining | ml_vision | [
"arxiv",
"semantic_scholar"
] | {
"arxiv": 0,
"pubmed": 15,
"semantic_scholar": 15
} | 30 | 30 | 0 | {
"arxiv": 71.72,
"pubmed": 1.31,
"semantic_scholar": 1.97
} | [
{
"title": "HP-GAN: Harnessing pretrained networks for GAN improvement with FakeTwins and discriminator consistency.",
"year": null,
"source": "pubmed",
"doi": "10.1016/j.neunet.2026.108666",
"url": "https://pubmed.ncbi.nlm.nih.gov/41633247/"
},
{
"title": "SSMamba: A self-supervised hyb... |
q06 | scaling laws neural language models | ml_scaling | [
"arxiv",
"openalex"
] | {
"arxiv": 0,
"pubmed": 14,
"semantic_scholar": 0
} | 14 | 14 | 0 | {
"arxiv": 49.46,
"pubmed": 1.56,
"semantic_scholar": 4.63
} | [
{
"title": "Differentially private data augmentation via LLM generation with discriminative and distribution-aligned filtering.",
"year": null,
"source": "pubmed",
"doi": "10.1016/j.neunet.2026.108668",
"url": "https://pubmed.ncbi.nlm.nih.gov/41653691/"
},
{
"title": "FedEmoNet: Privacy-... |
q07 | tool use in large language models | ml_agents | [
"arxiv",
"semantic_scholar"
] | {
"arxiv": 15,
"pubmed": 15,
"semantic_scholar": 0
} | 30 | 30 | 0 | {
"arxiv": 5.63,
"pubmed": 1.79,
"semantic_scholar": 6.04
} | [
{
"title": "DALI-Syn: integrating chemical LLMs with multi-level attention architectures for synergistic drug combination prediction.",
"year": null,
"source": "pubmed",
"doi": "10.1007/s13755-026-00441-2",
"url": "https://pubmed.ncbi.nlm.nih.gov/41948688/"
},
{
"title": "Hierarchical ag... |
q08 | federated learning privacy preserving | ml_privacy | [
"arxiv",
"openalex"
] | {
"arxiv": 0,
"pubmed": 15,
"semantic_scholar": 0
} | 15 | 15 | 0 | {
"arxiv": 50.79,
"pubmed": 1.78,
"semantic_scholar": 5.91
} | [
{
"title": "Collaborative artificial intelligence for the diagnosis and management of acute ischemic stroke.",
"year": null,
"source": "pubmed",
"doi": "10.1080/07853890.2025.2594356",
"url": "https://pubmed.ncbi.nlm.nih.gov/41457873/"
},
{
"title": "Deep learning-based cognitive impairm... |
q09 | CRISPR base editing off-target effects | biology_genetics | [
"pubmed",
"semantic_scholar",
"openalex"
] | {
"arxiv": 0,
"pubmed": 15,
"semantic_scholar": 0
} | 15 | 15 | 0 | {
"arxiv": 66.98,
"pubmed": 2.8,
"semantic_scholar": 7.02
} | [
{
"title": "Non-Viral CRISPR carriers: transient delivery with lasting effects.",
"year": null,
"source": "pubmed",
"doi": "10.1080/10717544.2026.2614125",
"url": "https://pubmed.ncbi.nlm.nih.gov/41543272/"
},
{
"title": "Helicity of the bridge helix of Cas12a regulates on-target DNA cle... |
q10 | cancer immunotherapy checkpoint inhibitors mechanism | biomedical_oncology | [
"pubmed",
"semantic_scholar"
] | {
"arxiv": 0,
"pubmed": 15,
"semantic_scholar": 0
} | 15 | 15 | 0 | {
"arxiv": 68.06,
"pubmed": 1.84,
"semantic_scholar": 4.64
} | [
{
"title": "Umbilical cord blood natural killer cells improve anti-GD2 antibody efficacy in neuroblastoma: from mouse to human.",
"year": null,
"source": "pubmed",
"doi": "10.1080/2162402X.2026.2679315",
"url": "https://pubmed.ncbi.nlm.nih.gov/42216567/"
},
{
"title": "An orthotopic orga... |
q11 | Alzheimer amyloid hypothesis evidence | biomedical_neuro | [
"pubmed",
"semantic_scholar"
] | {
"arxiv": 0,
"pubmed": 15,
"semantic_scholar": 0
} | 15 | 15 | 0 | {
"arxiv": 63.93,
"pubmed": 1.59,
"semantic_scholar": 4.02
} | [
{
"title": "Convergence of neuroinflammation across major neurotropic viral exposomes in AD and ADRD.",
"year": null,
"source": "pubmed",
"doi": "10.1186/s12974-026-03876-2",
"url": "https://pubmed.ncbi.nlm.nih.gov/42215997/"
},
{
"title": "Integrated imaging and molecular profiling reve... |
q12 | mRNA vaccine lipid nanoparticle delivery | biomedical_vaccines | [
"pubmed",
"semantic_scholar"
] | {
"arxiv": 0,
"pubmed": 15,
"semantic_scholar": 0
} | 15 | 15 | 0 | {
"arxiv": 48.91,
"pubmed": 2.8,
"semantic_scholar": 4.84
} | [
{
"title": "Self-amplifying RNA (saRNA) and circular RNA (circRNA) vaccines: Progress, evidence gaps, and translational pathways for durable and scalable immunization.",
"year": null,
"source": "pubmed",
"doi": "10.1080/21645515.2026.2661120",
"url": "https://pubmed.ncbi.nlm.nih.gov/42015917/"
... |
q13 | gut microbiome inflammatory bowel disease | biomedical_microbiome | [
"pubmed"
] | {
"arxiv": 15,
"pubmed": 14,
"semantic_scholar": 0
} | 29 | 29 | 0 | {
"arxiv": 15.2,
"pubmed": 1.95,
"semantic_scholar": 5.57
} | [
{
"title": "Gut microbiota in chronic inflammation: the interplay with lipid mediators.",
"year": null,
"source": "pubmed",
"doi": "10.1080/19490976.2026.2667605",
"url": "https://pubmed.ncbi.nlm.nih.gov/42087805/"
},
{
"title": "Intestinal epithelial Syndecan-1 maintains mucosal homeost... |
q14 | antimicrobial resistance mechanisms gram negative | biomedical_infectious | [
"pubmed"
] | {
"arxiv": 15,
"pubmed": 15,
"semantic_scholar": 0
} | 30 | 30 | 0 | {
"arxiv": 43.69,
"pubmed": 1.5,
"semantic_scholar": 4.63
} | [
{
"title": "Bacterial extracellular vesicles as emerging platforms to combat multidrug-resistant bacterial infections: Mechanisms, therapeutic applications, and future prospects.",
"year": null,
"source": "pubmed",
"doi": "10.1080/21505594.2026.2654259",
"url": "https://pubmed.ncbi.nlm.nih.gov/4... |
q15 | single cell RNA sequencing analysis methods | biomedical_methods | [
"pubmed",
"semantic_scholar"
] | {
"arxiv": 0,
"pubmed": 15,
"semantic_scholar": 0
} | 15 | 15 | 0 | {
"arxiv": 63.61,
"pubmed": 2.06,
"semantic_scholar": 4.49
} | [
{
"title": "MORPHEUS-Lung: biomarkers and clinical response to atezolizumab + bevacizumab + stereotactic body radiotherapy in patients with metastatic non-small cell lung cancer.",
"year": null,
"source": "pubmed",
"doi": "10.1016/j.lungcan.2026.109354",
"url": "https://pubmed.ncbi.nlm.nih.gov/4... |
q16 | quantum error correction surface codes | physics_quantum | [
"arxiv",
"openalex"
] | {
"arxiv": 0,
"pubmed": 15,
"semantic_scholar": 15
} | 30 | 30 | 0 | {
"arxiv": 64.78,
"pubmed": 1.42,
"semantic_scholar": 6.36
} | [
{
"title": "Magic state injection on IBM quantum processors above the distillation threshold.",
"year": null,
"source": "pubmed",
"doi": "10.1038/s41598-026-40381-1",
"url": "https://pubmed.ncbi.nlm.nih.gov/41748679/"
},
{
"title": "The Hitchhiker's Guide to the Surface Code.",
"year... |
q17 | topological superconductivity Majorana fermions | physics_condensed_matter | [
"arxiv"
] | {
"arxiv": 0,
"pubmed": 15,
"semantic_scholar": 0
} | 15 | 15 | 0 | {
"arxiv": 63.89,
"pubmed": 1.18,
"semantic_scholar": 4.86
} | [
{
"title": "Symmetry-Protected Moiré Band Engineering and Enhanced Electron-Phonon Coupling in Xe/Bi",
"year": null,
"source": "pubmed",
"doi": "10.1021/acsnano.5c20111",
"url": "https://pubmed.ncbi.nlm.nih.gov/41954561/"
},
{
"title": "Chiral and topological superconductivity in isospin... |
q18 | dark matter direct detection experiments | physics_cosmology | [
"arxiv"
] | {
"arxiv": 0,
"pubmed": 15,
"semantic_scholar": 15
} | 30 | 29 | 1 | {
"arxiv": 19.47,
"pubmed": 1.53,
"semantic_scholar": 2.23
} | [
{
"title": "First High-Throughput Evaluation of Dark Matter Detector Materials.",
"year": null,
"source": "pubmed",
"doi": "10.1103/bb4g-7939",
"url": "https://pubmed.ncbi.nlm.nih.gov/42213917/"
},
{
"title": "Torsion Balance Experiments Enable Direct Detection of Sub-eV Dark Matter.",
... |
q19 | lattice quantum chromodynamics | physics_particle | [
"arxiv"
] | {
"arxiv": 15,
"pubmed": 15,
"semantic_scholar": 0
} | 30 | 30 | 0 | {
"arxiv": 29.29,
"pubmed": 1.42,
"semantic_scholar": 4.59
} | [
{
"title": "Hybrid calculation of hadronic vacuum polarization in muon g - 2 to 0.48.",
"year": null,
"source": "pubmed",
"doi": "10.1038/s41586-026-10449-z",
"url": "https://pubmed.ncbi.nlm.nih.gov/42020747/"
},
{
"title": "Emergence of the π(1300) Resonance from Lattice QCD.",
"yea... |
q20 | labor market polarization automation effects | economics | [
"semantic_scholar",
"openalex"
] | {
"arxiv": 15,
"pubmed": 2,
"semantic_scholar": 0
} | 17 | 17 | 0 | {
"arxiv": 59.74,
"pubmed": 2.41,
"semantic_scholar": 4.92
} | [
{
"title": "The structural-demographic theory revisited: An empirical test for industrialized societies.",
"year": null,
"source": "pubmed",
"doi": "10.1371/journal.pone.0287912",
"url": "https://pubmed.ncbi.nlm.nih.gov/37917665/"
},
{
"title": "Unpacking the polarization of workplace sk... |
q21 | behavioral economics defaults nudges | economics | [
"semantic_scholar",
"openalex"
] | {
"arxiv": 15,
"pubmed": 15,
"semantic_scholar": 0
} | 30 | 30 | 0 | {
"arxiv": 7.91,
"pubmed": 1.72,
"semantic_scholar": 4.87
} | [
{
"title": "The effect of nudging strategies on reducing diners' salt intake: Evidence from a randomized field experiment.",
"year": null,
"source": "pubmed",
"doi": "10.1111/aphw.70160",
"url": "https://pubmed.ncbi.nlm.nih.gov/42089235/"
},
{
"title": "Self-management behavior of childr... |
q22 | inflation targeting monetary policy effectiveness | economics | [
"semantic_scholar"
] | {
"arxiv": 15,
"pubmed": 15,
"semantic_scholar": 15
} | 45 | 45 | 0 | {
"arxiv": 2.47,
"pubmed": 1.63,
"semantic_scholar": 1.26
} | [
{
"title": "Financial Development and Inflation Targeting: How Market Structure Shapes Monetary Policy Effectiveness",
"year": null,
"source": "semantic_scholar",
"doi": "10.1016/j.econmod.2025.107310",
"url": "https://www.semanticscholar.org/paper/cf4e3c94a075a3da17855c410aac7ee2c8c6f322"
},
... |
q23 | free will compatibilism | philosophy | [
"semantic_scholar",
"openalex"
] | {
"arxiv": 15,
"pubmed": 15,
"semantic_scholar": 15
} | 45 | 45 | 0 | {
"arxiv": 0.66,
"pubmed": 1.74,
"semantic_scholar": 1.18
} | [
{
"title": "Representation Forcing for Bottleneck-Free Unified Multimodal Models",
"year": null,
"source": "arxiv",
"doi": "10.48550/arXiv.2605.31604",
"url": "https://arxiv.org/abs/2605.31604v1"
},
{
"title": "TunerDiT: Training-free Progressive Steering of Diffusion Transformer for Mul... |
q24 | phenomenal consciousness hard problem | philosophy_mind | [
"semantic_scholar",
"openalex"
] | {
"arxiv": 15,
"pubmed": 15,
"semantic_scholar": 0
} | 30 | 30 | 0 | {
"arxiv": 0.55,
"pubmed": 1.39,
"semantic_scholar": 4.56
} | [
{
"title": "KLIP: localized distribution shift detection via KL-divergence with diffusion priors in Inverse Problems",
"year": null,
"source": "arxiv",
"doi": "10.48550/arXiv.2605.31596",
"url": "https://arxiv.org/abs/2605.31596v1"
},
{
"title": "Stateful Online Monitoring Catches Distri... |
q25 | differential privacy machine learning | cs_security | [
"arxiv",
"semantic_scholar"
] | {
"arxiv": 15,
"pubmed": 15,
"semantic_scholar": 0
} | 30 | 30 | 0 | {
"arxiv": 0.7,
"pubmed": 1.39,
"semantic_scholar": 4.58
} | [
{
"title": "Representation Forcing for Bottleneck-Free Unified Multimodal Models",
"year": null,
"source": "arxiv",
"doi": "10.48550/arXiv.2605.31604",
"url": "https://arxiv.org/abs/2605.31604v1"
},
{
"title": "Lumos-Nexus: Efficient Frequency Bridging with Homogeneous Latent Space for V... |
q26 | homomorphic encryption performance benchmarks | cs_security | [
"arxiv",
"openalex"
] | {
"arxiv": 15,
"pubmed": 14,
"semantic_scholar": 0
} | 29 | 29 | 0 | {
"arxiv": 0.62,
"pubmed": 1.46,
"semantic_scholar": 4.85
} | [
{
"title": "Lumos-Nexus: Efficient Frequency Bridging with Homogeneous Latent Space for Video Unified Models",
"year": null,
"source": "arxiv",
"doi": "10.48550/arXiv.2605.31603",
"url": "https://arxiv.org/abs/2605.31603v1"
},
{
"title": "Linear Scaling Video VLMs for Long Video Understa... |
q27 | private 5G networks edge computing | cs_networks | [
"arxiv",
"openalex"
] | {
"arxiv": 15,
"pubmed": 10,
"semantic_scholar": 15
} | 40 | 40 | 0 | {
"arxiv": 0.97,
"pubmed": 1.41,
"semantic_scholar": 1.5
} | [
{
"title": "Gravitational Waves from hybrid defects as probe of Flavor symmetry breaking: Machine-Learning Approach",
"year": null,
"source": "arxiv",
"doi": "10.48550/arXiv.2605.31600",
"url": "https://arxiv.org/abs/2605.31600v1"
},
{
"title": "Linear Scaling Video VLMs for Long Video U... |
q28 | computer vision autonomous driving safety | cs_robotics | [
"arxiv",
"semantic_scholar"
] | {
"arxiv": 15,
"pubmed": 15,
"semantic_scholar": 0
} | 30 | 30 | 0 | {
"arxiv": 0.95,
"pubmed": 2.17,
"semantic_scholar": 5.22
} | [
{
"title": "Representation Forcing for Bottleneck-Free Unified Multimodal Models",
"year": null,
"source": "arxiv",
"doi": "10.48550/arXiv.2605.31604",
"url": "https://arxiv.org/abs/2605.31604v1"
},
{
"title": "Lumos-Nexus: Efficient Frequency Bridging with Homogeneous Latent Space for V... |
q29 | exoplanet atmosphere biosignature spectroscopy | astronomy | [
"arxiv",
"openalex"
] | {
"arxiv": 15,
"pubmed": 15,
"semantic_scholar": 0
} | 30 | 30 | 0 | {
"arxiv": 1.32,
"pubmed": 2.16,
"semantic_scholar": 10.42
} | [
{
"title": "All-Electron Relativistic Fully Self-Consistent $GW$ Study of Heteronuclear Actinide-Containing Diatomics",
"year": null,
"source": "arxiv",
"doi": "10.48550/arXiv.2605.31571",
"url": "https://arxiv.org/abs/2605.31571v1"
},
{
"title": "Mind the Companion : Demographics of Tra... |
q30 | climate sensitivity equilibrium feedback | climate | [
"openalex",
"semantic_scholar"
] | {
"arxiv": 15,
"pubmed": 15,
"semantic_scholar": 0
} | 30 | 30 | 0 | {
"arxiv": 0.82,
"pubmed": 1.74,
"semantic_scholar": 4.28
} | [
{
"title": "A Tight Theory of Error Feedback Algorithms in Distributed Optimization",
"year": null,
"source": "arxiv",
"doi": "10.48550/arXiv.2605.31594",
"url": "https://arxiv.org/abs/2605.31594v1"
},
{
"title": "Language Models Learn Constructional Semantics, Not To Mention Syntax: Inv... |
Federated Academic Search Traces (research-papers-mcp benchmark)
What this is
30 curated academic search queries run through the research-papers-mcp federated search pipeline. For each query, the dataset captures:
- The query text + domain label + expected-strong-sources annotation
- Per-source raw result counts (before dedup)
- Total deduplicated count + number of duplicates removed
- Top 10 deduplicated paper records (title, year, source, DOI, URL)
- Per-source wall-clock timing
The queries span 30 domains across ML, biomedicine, physics, philosophy, economics, computer science, and astronomy — chosen to exercise each source's coverage strengths.
Sources active during this trace
This snapshot was captured against the research-papers-mcp package as installed from main branch at the time of run. The registry contained three live sources:
| Source | Status during trace |
|---|---|
| arXiv | Active (rate-limited on bulk queries — see per_source_timing_sec for evidence) |
| PubMed | Active, 30/30 queries returned results |
| Semantic Scholar | Active but throttled (HTTP 429 on 23/30 queries) |
| OpenAlex | Not registered on the main branch at trace time. A PaperSource-protocol package abstraction exists on a feature branch but had not been merged. Future traces will include OpenAlex once that branch lands. |
This is itself a useful signal: the trace honestly records which sources a pip install -e . from main got at trace time. Users running newer versions of the package will see different (likely fuller) coverage.
Schema
| Field | Type | Description |
|---|---|---|
id |
string | Query identifier (q01 to q30) |
query |
string | The search query text |
domain |
string | Coarse-grained topic domain |
expected_strong_sources |
list[string] | Sources we expect to return strong matches |
per_source_raw_count |
dict[str, int] | Records returned by each source before dedup |
raw_total |
int | Sum across sources |
deduped_count |
int | After DOI-then-(source, source_id) deduplication |
duplicates_removed |
int | raw_total - deduped_count |
per_source_timing_sec |
dict[str, float] | Wall-clock seconds per source |
top_papers |
list[object] | First 10 deduplicated results (title, year, source, doi, url) |
Load it
from datasets import load_dataset
ds = load_dataset("barissozudogru/federated-search-traces")
print(ds["train"][0])
Or directly:
import json
import requests
data = requests.get("https://huggingface.co/datasets/barissozudogru/federated-search-traces/resolve/main/traces.json").json()
for r in data[:5]:
print(r["query"], "->", r["deduped_count"], "results")
Generating method
Queries were run through the research-papers-mcp pipeline at https://github.com/barissozudogru/deep-research-digest. Each source is called concurrently with max_results=15. Deduplication is by DOI first (lowercased, stripped), then by (source, source_id). Trace is captured at one point in time — re-running may give different counts as the live indices update.
The full reproduction script is run_benchmark.py in this dataset's repo.
Use cases
- Regression-testing federated search dedup logic
- Comparing source coverage across domains
- Benchmarking new sources (e.g., does adding CORE or bioRxiv change dedup ratios meaningfully?)
- Sanity-checking ranking algorithms on stable inputs
Caveats
- Single snapshot, not a live mirror. External indices update; re-running may produce different counts.
- Sources may rate-limit. If
per_source_raw_count[name] == 0for a query, that source either truly had no matches OR was throttled at trace time. Compare withper_source_timing_secfor hints. - Query selection is editorial, not random. We picked queries to exercise the four sources' coverage strengths. Inferences about typical user behavior should treat this as a stress-test corpus, not a representative one.
- No ground-truth relevance labels. This is a trace dataset (what came back), not an annotated benchmark (what should have come back). For relevance evaluation, pair with human-annotated relevance judgments.
Related
- research-papers-mcp on GitHub — the federated-search MCP server
- Live Space demo — interactive federated search
- OpenAlex concepts dataset — taxonomy used for topic tagging in the pipeline
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