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6

April

#5
by ekmpa - opened
base: refs/heads/main
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from: refs/pr/5
Discussion Files changed
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Files changed (13) hide show
  1. README.md +8 -23
  2. april2025/edges.csv.gz +2 -2
  3. april2025/vertices.csv.gz +2 -2
  4. dec2024/components/edge_index.pt +0 -3
  5. dec2024/components/feature_matrix.pt +0 -3
  6. may2025/edges.csv.gz +0 -3
  7. may2025/vertices.csv.gz +0 -3
  8. nov2024/components/edge_index.pt +0 -3
  9. nov2024/components/feature_matrix.pt +0 -3
  10. nov2024/edges.csv.gz +2 -2
  11. nov2024/vertices.csv.gz +2 -2
  12. oct2024/components/edge_index.pt +0 -3
  13. oct2024/components/feature_matrix.pt +0 -3
README.md CHANGED
@@ -6,7 +6,11 @@ license: cc-by-4.0
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  <!-- Provide a quick summary of the dataset. -->
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- CrediBench is a large-scale, temporal webgraph constituted of web data pulled from [Common Crawl](https://commoncrawl.org/overview).
 
 
 
 
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  ## Dataset Details
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@@ -28,17 +32,15 @@ Dataset Statistics:
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  | Month | V | E | Min. deg. | Mean deg. | Max. deg. | Leaves (deg. = 1) | Edge Density |
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  | -- | -- | -- | -- | -- | -- | -- | -- |
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  | October 2024 | 50,288,479 | 1,074,971,387 | 1 | 42.75 | 17,112,352 | 30,278 | 4.3e-07 |
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- | November 2024 | 50,684,724 | 1,164,563,814 | 1 | 45.95 | 17,328,063 | 31,388 | 4.5e-07 |
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  | December 2024 | 45,030,252 | 1,014,523,551 | 1 | 45.06 | 14,719,077 | 28,857 | 5.0e-07 |
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  | January 2025 | 45,626,949 | 1,060,163,646 | 1 | 46.471 | 15,398,279 | 23,130 | 5.0e-07 |
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  | February 2025 | 49,639,664 | 1,167,748,533 | 1 | 47.05 | 17,078,954 | 24,430 | 4.7e-07 |
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  | March 2025 | 50,162,733 | 1,212,826,396 | 1 | 48.36 | 16,691,193 | 22,629 | 4.8e-07 |
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- | April 2025 | 50,050,221 | 1,237,519,870 | 1 | 49.45 | 16,679,192 | 26,639 | 4.9e-07 |
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- | May 2025 | 50,517,253 | 1,227,682,479 | 1 | 48.604 | 16,771,274 | 29,973 | 4.8e-07 |
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  <!-- | June 2025 | 9,974,275 | 152,449,542 | 1 | 30.57 | 3,381,364 | 25,447 | 1.5e06 | -->
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-
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-
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  **Content Embedding:**
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  Domain-level content embeddings are generated using multiple LLM-based embedding models with varying LLM-model sizes and embedding dimensions.
@@ -61,23 +63,6 @@ Each pickled file stores a dictionary:
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  | November 2024 | embeddinggemma-300m | 256 | 30GB|
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  | December 2024 | embeddinggemma-300m | 256 | 30GB|
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-
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- **Proportion of content**
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-
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-
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- | Task | Split | Class | Global Labels | CDB-Oct24 Labels | CDB-Oct24 Has_Content | CDB-Oct24 content(%) | CDB-Nov24 Labels | CDB-Nov24 Has_Content | CDB-Nov24 content(%) | CDB-Dec24 Labels | CDB-Dec24 Has_Content | CDB-Dec24 content(%) |
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- |---|---|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
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- | Regression | Train | — | 5,164 | 5,158 | 2,699 | 0.52 | 5,158 | 2,626 | 0.51 | 5,158 | 2,637 | 0.50 |
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- | Regression | Val | — | 1,722 | 1,719 | 869 | 0.51 | 1,719 | 842 | 0.49 | 1,719 | 841 | 0.49 |
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- | Regression | Test | — | 1,722 | 1,721 | 874 | 0.51 | 1,721 | 847 | 0.49 | 1,721 | 843 | 0.49 |
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- | Binary Classification | Train | Credible | 41,671 | 39,824 | 23,170 | 0.58 | 34,040 | 20,379 | 0.60 | 39,445 | 21,853 | 0.55 |
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- | Binary Classification | Train | Non-Cred. | 9,353 | 8,272 | 5,734 | 0.69 | 5,496 | 4,034 | 0.73 | 7,831 | 5,040 | 0.64 |
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- | Binary Classification | Val | Credible | 3,117 | 2,960 | 1,669 | 0.56 | 2,503 | 1,446 | 0.58 | 2,940 | 1,566 | 0.53 |
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- | Binary Classification | Val | Non-Cred. | 3,117 | 2,717 | 1,929 | 0.71 | 1,784 | 1,321 | 0.74 | 2,619 | 1,694 | 0.65 |
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- | Binary Classification | Test | Credible | 3,117 | 2,967 | 1,739 | 0.59 | 2,555 | 1,543 | 0.60 | 2,947 | 1,629 | 0.55 |
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- | Binary Classification | Test | Non-Cred. | 3,117 | 2,713 | 1,920 | 0.71 | 1,782 | 1,328 | 0.75 | 2,620 | 1,704 | 0.65 |
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-
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  ### Resources
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  <!-- Provide the basic links for the dataset. -->
 
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  <!-- Provide a quick summary of the dataset. -->
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+ CrediBench 1.1 is a large-scale, temporal webgraph constituted of web data pulled from [Common Crawl](https://commoncrawl.org/overview).
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+ A prior version of the paper is [available here](https://arxiv.org/abs/2509.23340) (NPGML workshop @ NeurIPS 2025), with the latest version still under review.
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+ CrediBench 1.0, presented in this prior work, constituted of a static webgraph with 1 month's data, while the current version contains 3 months of data (October to December 2024, surrounding the U.S Federal elections, a period of increased misinformation).
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+ We are actively constructing and uploading more monthly graphs as well.
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+
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  ## Dataset Details
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  | Month | V | E | Min. deg. | Mean deg. | Max. deg. | Leaves (deg. = 1) | Edge Density |
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  | -- | -- | -- | -- | -- | -- | -- | -- |
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  | October 2024 | 50,288,479 | 1,074,971,387 | 1 | 42.75 | 17,112,352 | 30,278 | 4.3e-07 |
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+ | November 2024 (to redo) | 27,567,417 | 555,905,375 | 1 | 40.33 | 9,019,038 | 30,553 | 7.3e-07 |
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  | December 2024 | 45,030,252 | 1,014,523,551 | 1 | 45.06 | 14,719,077 | 28,857 | 5.0e-07 |
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  | January 2025 | 45,626,949 | 1,060,163,646 | 1 | 46.471 | 15,398,279 | 23,130 | 5.0e-07 |
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  | February 2025 | 49,639,664 | 1,167,748,533 | 1 | 47.05 | 17,078,954 | 24,430 | 4.7e-07 |
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  | March 2025 | 50,162,733 | 1,212,826,396 | 1 | 48.36 | 16,691,193 | 22,629 | 4.8e-07 |
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+ | April 2025 (to redo) | 17,998,846 | 349,717,108 | 1 | 38.86 | 5,284,367 | 25,606 | 1.1e-06 |
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+ <!-- | May 2025 | 5,833,993 | 87,752,862 | 1 | 30.08 | 1,581,282 | 17,683 | 2.6e-06 | -->
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  <!-- | June 2025 | 9,974,275 | 152,449,542 | 1 | 30.57 | 3,381,364 | 25,447 | 1.5e06 | -->
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  **Content Embedding:**
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  Domain-level content embeddings are generated using multiple LLM-based embedding models with varying LLM-model sizes and embedding dimensions.
 
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  | November 2024 | embeddinggemma-300m | 256 | 30GB|
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  | December 2024 | embeddinggemma-300m | 256 | 30GB|
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  ### Resources
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  <!-- Provide the basic links for the dataset. -->
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