README.md

metadata

language:
  - en
license: apache-2.0
task_categories:
  - time-series-forecasting
tags:
  - temporal-point-process
  - event-sequences
  - github
  - software-engineering
  - marked-temporal-point-process
size_categories:
  - n<1K

GitHub Repository Event Streams

Curated event sequences from GitHub repositories, designed for temporal point process (TPP) and marked temporal point process (MTPP) modeling. Each sequence captures the development activity of a single repository over a one-week window.

Dataset Description

• Source: GH Archive raw JSON dumps
• Time window: June 1 - 7, 2024
• Grouping: Events grouped by repository
• Sequences: 373
• Sequence length: 60-80 events per sequence
• Time unit: hours
• Language: English only

Schema

Each record is a dictionary with 8 fields:

Field	Type	Description
seq_idx	int	Sequence index
seq_len	int	Number of events in the sequence
description	str	Repository name, description, language, stars, and event window
metadata	str (JSON)	repo_name, stars, language, actors, time_unit
time_since_start	list[float]	Time since the first event (in time_unit, default hours)
time_since_last_event	list[float]	Time since the previous event (in time_unit, default hours)
type_event	list[str]	Event type labels (see below)
type_text	list[str]	Natural language description of each event

Event Types (8 categories)

Label	Description
issue_opened	New issue filed
issue_closed	Issue resolved/closed
pr_opened	Pull request opened
pr_merged	Pull request merged
push	Code pushed (with commit messages)
release	Release published
pr_reviewed	PR approved or changes requested
comment	Comment on issue, PR, or review

Curation Filters

Sequences are selected to represent moderately active, well-maintained repositories with balanced development activity:

Filter	Value	Description
min-raw-events	50	Min kept-type events in archive (pre-classification)
max-raw-events	300	Max kept-type events in archive (pre-classification)
min-events	60	Min classified events per sequence
max-events	80	Max classified events (skip, not truncate)
max-bot-fraction	0.2	Skip repos where >20% events are from bots
min-unique-types	5	At least 5 distinct event types
min-avg-text-len	150	Min average text length per event
max-type-fraction	0.5	No single event type >50% of events
min-actors	2	At least 2 unique contributors
max-actors	5	At most 5 unique contributors
require-description	true	Repo must have a description
require-english	true	All event texts must be in English (non-Latin script detection)

Example

{
  "seq_idx": 0,
  "seq_len": 68,
  "description": "GitHub repository example/repo: A web framework for building APIs (Python, 1,234 stars) Event window: June 01 - 07, 2024.",
  "metadata": "{\"repo_name\": \"example/repo\", \"stars\": \"1234\", \"language\": \"Python\", \"actors\": [\"alice\", \"bob\", \"charlie\"], \"time_unit\": \"hours\"}",
  "time_since_start": [0.0, 0.123, ...],
  "time_since_last_event": [0.0, 0.123, ...],
  "type_event": ["pr_opened", "comment", "pr_reviewed", ...],
  "type_text": ["Pull request opened by alice: Add new RPC endpoint...", ...]
}

Intended Use

• Training and evaluating temporal point process models
• Studying software development workflow patterns
• Benchmarking next-event prediction and event forecasting
• Modeling marked temporal point processes with rich text marks

Citation

If you use this dataset, please cite:

@dataset{github_repo_events_2024,
  title={GitHub Repository Event Streams},
  author={XiaoBB},
  year={2024},
  url={https://huggingface.co/datasets/XiaoBB/github_repo_events},
  note={Curated from GH Archive, June 2024}
}