Who Gets Cited Most? Benchmarking Long-Context Numerical Reasoning on Scientific Articles
Paper • 2509.21028 • Published
Datasets:
question stringlengths 37 277 | answer stringlengths 1 1.3k | articles listlengths 4 10 | instruction_full stringclasses 1
value | metadata listlengths 4 10 | instruction_proxy stringclasses 1
value |
|---|---|---|---|---|---|
List the names of authors who are in even positions in their respective author lists, sorted in descending order. | Yan Wang, Luke McNally, Louis M. Pecora, Ginestra Bianconi, Andrew L. Jackson, Ana P. Millán | [
"# Synchronization in Network Geometries with Finite Spectral Dimension\n\nAna P. Millán and Joaquín J. Torres\nDepartamento de Electromagnetismo y Física de la Materia and Instituto Carlos I\nde Física Teórica y Computacional, Universidad de Granada, 18071 Granada, Spain\n\nGinestra Bianconi\nSchool of Mathematica... | You are given multiple articles.
<articles>
Based on the above articles, answer the question below.
If the answer consists of multiple components (e.g., author names, article titles, reference counts), separate them with commas.
For example, if the answer includes two author names, your response should be in the f... | [
"Article title: Synchronization in Network Geometries with Finite Spectral Dimension\n\nThere are 8 words in the title (separated by spaces).\n\nThere are 3 authors: Ana P. Millán, Joaquín J. Torres, Ginestra Bianconi\n\nThere are 58 references in the reference section.\n\nThe other provided articles are not cited ... | You are given multiple articles.
<articles>
Based on the above articles, answer the question below.
If the answer consists of multiple components (e.g., author names, article titles, reference counts), separate them with commas.
For example, if the answer includes two author names, your response should be in the f... |
What is the title of the article that has the most citations? | Degenerate n-Doping of Few-Layer Transition Metal Dichalcogenides by Potassium | ["# Low Resistance Metal Contacts to MoS2 Devices with Nickel-Etched-Graphene Electrodes\n\nWei Sun (...TRUNCATED) | "You are given multiple articles.\n\n\n<articles>\n\n\nBased on the above articles, answer the quest(...TRUNCATED) | ["Article title: Low Resistance Metal Contacts to MoS2 Devices with Nickel-Etched-Graphene Electrode(...TRUNCATED) | "You are given multiple articles.\n\n\n<articles>\n\n\nBased on the above articles, answer the quest(...TRUNCATED) |
What are the titles of articles that do not have exactly 41 references? | "Multi-terminal transport measurements of MoS2 using a van der Waals heterostructure device platform(...TRUNCATED) | ["# Multi-terminal transport measurements of MoS2 using a van der Waals heterostructure device platf(...TRUNCATED) | "You are given multiple articles.\n\n\n<articles>\n\n\nBased on the above articles, answer the quest(...TRUNCATED) | ["Article title: Multi-terminal transport measurements of MoS2 using a van der Waals heterostructure(...TRUNCATED) | "You are given multiple articles.\n\n\n<articles>\n\n\nBased on the above articles, answer the quest(...TRUNCATED) |
What is the reference count of the article that has been cited the most number of times? | 42 | ["# Breaking Reciprocity with Space-Time-Coding Digital Metasurfaces\n\nLei Zhang, Xiao Qing Chen, R(...TRUNCATED) | "You are given multiple articles.\n\n\n<articles>\n\n\nBased on the above articles, answer the quest(...TRUNCATED) | ["Article title: Breaking Reciprocity with Space-Time-Coding Digital Metasurfaces\n\nThere are 6 wor(...TRUNCATED) | "You are given multiple articles.\n\n\n<articles>\n\n\nBased on the above articles, answer the quest(...TRUNCATED) |
How many authors wrote the most-cited article? | 7 | ["# Graphene-assisted metal transfer printing for wafer-scale integration of metal electrodes and tw(...TRUNCATED) | "You are given multiple articles.\n\n\n<articles>\n\n\nBased on the above articles, answer the quest(...TRUNCATED) | ["Article title: Graphene-assisted metal transfer printing for wafer-scale integration of metal elec(...TRUNCATED) | "You are given multiple articles.\n\n\n<articles>\n\n\nBased on the above articles, answer the quest(...TRUNCATED) |
What is the highest number of references cited in any article written by Andre Mkhoyan? | 48 | ["# High Electric Field Transport Characteristics in Field-Effect Transistors Based on Monolayer/Few(...TRUNCATED) | "You are given multiple articles.\n\n\n<articles>\n\n\nBased on the above articles, answer the quest(...TRUNCATED) | ["Article title: High Electric Field Transport Characteristics in Field-Effect Transistors Based on (...TRUNCATED) | "You are given multiple articles.\n\n\n<articles>\n\n\nBased on the above articles, answer the quest(...TRUNCATED) |
How many articles have titles with fewer than 11 words? | 2 | ["# Complex-amplitude metasurface-based orbital angular momentum holography in momentum space\n\nHao(...TRUNCATED) | "You are given multiple articles.\n\n\n<articles>\n\n\nBased on the above articles, answer the quest(...TRUNCATED) | ["Article title: Complex-amplitude metasurface-based orbital angular momentum holography in momentum(...TRUNCATED) | "You are given multiple articles.\n\n\n<articles>\n\n\nBased on the above articles, answer the quest(...TRUNCATED) |
"What are the distinct names of authors who have contributed to articles with titles containing exac(...TRUNCATED) | John A. Hodge, Kumar Vijay Mishra, Amir I. Zaghloul | ["# A wireless communication scheme based on space- and frequency-division multiplexing using digita(...TRUNCATED) | "You are given multiple articles.\n\n\n<articles>\n\n\nBased on the above articles, answer the quest(...TRUNCATED) | ["Article title: A wireless communication scheme based on space- and frequency-division multiplexing(...TRUNCATED) | "You are given multiple articles.\n\n\n<articles>\n\n\nBased on the above articles, answer the quest(...TRUNCATED) |
"What are the word counts of the titles of articles that have between 2 and 5 authors, sorted by the(...TRUNCATED) | 3, 6 | ["# Grammar-based Whitebox Fuzzing\n\nPatrice Godefroid\nMicrosoft Research\nRedmond, WA, USA\npg@mi(...TRUNCATED) | "You are given multiple articles.\n\n\n<articles>\n\n\nBased on the above articles, answer the quest(...TRUNCATED) | ["Article title: Grammar-based Whitebox Fuzzing\n\nThere are 3 words in the title (separated by spac(...TRUNCATED) | "You are given multiple articles.\n\n\n<articles>\n\n\nBased on the above articles, answer the quest(...TRUNCATED) |
What are the titles of articles that cite exactly 26 references? | Controlling interdependent meso-nanosecond dynamics and defect generation in metal 3D printing | ["# Controlling interdependent meso-nanosecond dynamics and defect generation in metal 3D printing\n(...TRUNCATED) | "You are given multiple articles.\n\n\n<articles>\n\n\nBased on the above articles, answer the quest(...TRUNCATED) | ["Article title: Controlling interdependent meso-nanosecond dynamics and defect generation in metal (...TRUNCATED) | "You are given multiple articles.\n\n\n<articles>\n\n\nBased on the above articles, answer the quest(...TRUNCATED) |
End of preview. Expand in Data Studio
This is the SciTrek data that we used in the ProxyCoT project, and it is based on long-context reasoning (32K-128K tokens).
SciTrek is originally from https://arxiv.org/abs/2509.21028.
To use our dataset, please follow the code below.
train_samples = load_dataset("oaimli/proxycot-scitrek", split="train")
dev_samples = load_dataset("oaimli/proxycot-scitrek", split="val")
test_samples = load_dataset("oaimli/proxycot-scitrek", split="test")
for sample in train_samples:
question = sample["question"]
answer = sample["answer"]
metadata = sample["metadata"]
articles = sample["articles"]
instruction_proxy = sample["instruction_proxy"]
instruction_full = sample["instruction_full"]
instruction_proxy = instruction_proxy.replace("<question>", question)
instruction_proxy = instruction_proxy.replace("<articles>", "\n\n\n".join(metadata))
conversation_proxy = [{"role": "user", "content": instruction_proxy}]
instruction_full = instruction_full.replace("<question>", question)
instruction_full = instruction_full.replace("<articles>", "\n\n\n".join(articles))
conversation_full = [{"role": "user", "content": instruction_full}]
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