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id int64 | language string | project_name string | function_name string | masked_file string | article_file string | timestamp string | messages list | metadata dict | token_count int64 |
|---|---|---|---|---|---|---|---|---|---|
1 | python | s41467-024-45598-0 | gen_topol_feats | MMSciCode/Python/s41467-024-45598-0/Sequential-Link-Prediction/TOLP.py | MMSciCode/Python/s41467-024-45598-0/article_content.json | 2026-02-03T09:01:59.870605 | [
{
"role": "system",
"content": "You are an expert Python programmer implementing algorithms from scientific papers.\nComplete the masked function based on the algorithm description.\nFollow Python best practices and maintain consistent code style.\nReturn **only** the complete Python function code."
},
... | {
"function_info": {
"description": "Generates topological features for network link prediction including degree metrics, clustering coefficients, centrality measures, and SVD-based features",
"key_terms": {
"A_orig": "original adjacency matrix",
"A": "training or holdout adjacency matrix",
... | 1,638 |
2 | python | s41467-024-45598-0 | topol_stacking_temporal_with_edgelist | MMSciCode/Python/s41467-024-45598-0/Sequential-Link-Prediction/TOLP.py | MMSciCode/Python/s41467-024-45598-0/article_content.json | 2026-02-03T09:01:59.872421 | [{"role":"system","content":"You are an expert Python programmer implementing algorithms from scient(...TRUNCATED) | {"function_info":{"description":"Performs temporal link prediction using stacked topological feature(...TRUNCATED) | 1,551 |
3 | python | s41467-024-45598-0 | gen_topol_feats_temporal | MMSciCode/Python/s41467-024-45598-0/Sequential-Link-Prediction/TOLP.py | MMSciCode/Python/s41467-024-45598-0/article_content.json | 2026-02-03T09:01:59.873806 | [{"role":"system","content":"You are an expert Python programmer implementing algorithms from scient(...TRUNCATED) | {"function_info":{"description":"Generates temporal topological features by averaging across multipl(...TRUNCATED) | 1,539 |
4 | python | s41467-025-58741-2 | deterministic_model | "MMSciCode/Python/s41467-025-58741-2/Self-organizing_neuromorphic_networks_as_stochastic_dynamical_s(...TRUNCATED) | MMSciCode/Python/s41467-025-58741-2/article_content.json | 2026-02-03T09:01:59.874754 | [{"role":"system","content":"You are an expert Python programmer implementing algorithms from scient(...TRUNCATED) | {"function_info":{"description":"Implements the deterministic component of the Ornstein-Uhlenbeck pr(...TRUNCATED) | 1,806 |
5 | python | s41467-025-58741-2 | stochastic_model_noise | "MMSciCode/Python/s41467-025-58741-2/Self-organizing_neuromorphic_networks_as_stochastic_dynamical_s(...TRUNCATED) | MMSciCode/Python/s41467-025-58741-2/article_content.json | 2026-02-03T09:01:59.875705 | [{"role":"system","content":"You are an expert Python programmer implementing algorithms from scient(...TRUNCATED) | {"function_info":{"description":"Implementation of Ornstein-Uhlenbeck process with Gaussian noise co(...TRUNCATED) | 2,055 |
6 | python | s41467-025-58741-2 | stochastic_model_noise_jumps | "MMSciCode/Python/s41467-025-58741-2/Self-organizing_neuromorphic_networks_as_stochastic_dynamical_s(...TRUNCATED) | MMSciCode/Python/s41467-025-58741-2/article_content.json | 2026-02-03T09:01:59.876757 | [{"role":"system","content":"You are an expert Python programmer implementing algorithms from scient(...TRUNCATED) | {"function_info":{"description":"Full implementation of the Ornstein-Uhlenbeck process with jumps us(...TRUNCATED) | 1,793 |
7 | python | s41467-024-47661-2 | train | MMSciCode/Python/s41467-024-47661-2/mAFiA/mAFiA/feature_classifiers.py | MMSciCode/Python/s41467-024-47661-2/article_content.json | 2026-02-03T09:01:59.877606 | [{"role":"system","content":"You are an expert Python programmer implementing algorithms from scient(...TRUNCATED) | {"function_info":{"description":"mAFiA logistic regression classifier training algorithm implementin(...TRUNCATED) | 1,259 |
8 | python | s41467-024-47661-2 | forward | MMSciCode/Python/s41467-024-47661-2/mAFiA/RODAN/models.py | MMSciCode/Python/s41467-024-47661-2/article_content.json | 2026-02-03T09:01:59.878517 | [{"role":"system","content":"You are an expert Python programmer implementing algorithms from scient(...TRUNCATED) | {"function_info":{"description":"RODAN neural network forward pass implementing fully-convolutional (...TRUNCATED) | 1,729 |
9 | python | s41467-024-51026-0 | Local_Phasing | MMSciCode/Python/s41467-024-51026-0/XClone/xclone/model/phasing.py | MMSciCode/Python/s41467-024-51026-0/article_content.json | 2026-02-03T09:01:59.879390 | [{"role":"system","content":"You are an expert Python programmer implementing algorithms from scient(...TRUNCATED) | {"function_info":{"description":"Local phasing algorithm implementing Expectation-Maximization to ag(...TRUNCATED) | 1,302 |
10 | python | s41467-024-51026-0 | fwd_bkw_prob2 | MMSciCode/Python/s41467-024-51026-0/XClone/xclone/model/HMM_base.py | MMSciCode/Python/s41467-024-51026-0/article_content.json | 2026-02-03T09:01:59.880343 | [{"role":"system","content":"You are an expert Python programmer implementing algorithms from scient(...TRUNCATED) | {"function_info":{"description":"Forward-backward algorithm for Hidden Markov Model implementing log(...TRUNCATED) | 1,626 |
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