Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -5,11 +5,11 @@ configs:
|
|
| 5 |
- config_name: default
|
| 6 |
data_files:
|
| 7 |
- split: all_time
|
| 8 |
-
path: 2025-11-
|
| 9 |
- split: last_week
|
| 10 |
-
path: 2025-11-
|
| 11 |
- split: last_month
|
| 12 |
-
path: 2025-11-
|
| 13 |
- config_name: '2025-10-07'
|
| 14 |
data_files:
|
| 15 |
- split: all_time
|
|
@@ -42,12 +42,21 @@ configs:
|
|
| 42 |
path: 2025-11-03/sqa_citation_ranking_last_week.parquet
|
| 43 |
- split: last_month
|
| 44 |
path: 2025-11-03/sqa_citation_ranking_last_month.parquet
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 45 |
---
|
| 46 |
|
| 47 |
|
| 48 |
|
| 49 |
|
| 50 |
|
|
|
|
| 51 |
## Dataset Summary
|
| 52 |
This dataset tracks which scientific papers are most often cited by [**Asta**](https://asta.ai), an agentic research platform that uses retrieval-augmented generation (RAG) to answer scientific questions. Each record is a paper cited by Asta's _Summarize Literature_ tool, ranked by the number of times the system cited that paper. Across more than 113,000 user queries, we track **4M citations** to over **2M distinct papers**. By making this data public, we aim to create a transparent, trackable measure of which research most directly powers AI-generated answers—helping ensure that scientific contributions are visible and credited in the AI era.
|
| 53 |
|
|
|
|
| 5 |
- config_name: default
|
| 6 |
data_files:
|
| 7 |
- split: all_time
|
| 8 |
+
path: 2025-11-10/sqa_citation_ranking_all_time.parquet
|
| 9 |
- split: last_week
|
| 10 |
+
path: 2025-11-10/sqa_citation_ranking_last_week.parquet
|
| 11 |
- split: last_month
|
| 12 |
+
path: 2025-11-10/sqa_citation_ranking_last_month.parquet
|
| 13 |
- config_name: '2025-10-07'
|
| 14 |
data_files:
|
| 15 |
- split: all_time
|
|
|
|
| 42 |
path: 2025-11-03/sqa_citation_ranking_last_week.parquet
|
| 43 |
- split: last_month
|
| 44 |
path: 2025-11-03/sqa_citation_ranking_last_month.parquet
|
| 45 |
+
- config_name: '2025-11-10'
|
| 46 |
+
data_files:
|
| 47 |
+
- split: all_time
|
| 48 |
+
path: 2025-11-10/sqa_citation_ranking_all_time.parquet
|
| 49 |
+
- split: last_week
|
| 50 |
+
path: 2025-11-10/sqa_citation_ranking_last_week.parquet
|
| 51 |
+
- split: last_month
|
| 52 |
+
path: 2025-11-10/sqa_citation_ranking_last_month.parquet
|
| 53 |
---
|
| 54 |
|
| 55 |
|
| 56 |
|
| 57 |
|
| 58 |
|
| 59 |
+
|
| 60 |
## Dataset Summary
|
| 61 |
This dataset tracks which scientific papers are most often cited by [**Asta**](https://asta.ai), an agentic research platform that uses retrieval-augmented generation (RAG) to answer scientific questions. Each record is a paper cited by Asta's _Summarize Literature_ tool, ranked by the number of times the system cited that paper. Across more than 113,000 user queries, we track **4M citations** to over **2M distinct papers**. By making this data public, we aim to create a transparent, trackable measure of which research most directly powers AI-generated answers—helping ensure that scientific contributions are visible and credited in the AI era.
|
| 62 |
|