Update README.md

README.md

@@ -1,3 +1,131 @@
----
-license: cc-by-4.0
----
+# AgentPulse — Data and Code Release
+
+**NeurIPS 2026 Datasets & Benchmarks Track companion artifact.**
+
+This bundle contains all data, code, and reproduction scripts for the
+AgentPulse evaluation framework described in the paper
+*AgentPulse: A Continuous Multi-Signal Framework for Evaluating AI Agents in Deployment*.
+
+License: **CC BY 4.0** (see `LICENSE`).
+
+---
+
+## Contents
+
+```
+AgentPulse-Data-v6/
+├── README.md                  ← this file
+├── LICENSE                    ← CC BY 4.0
+├── croissant.json             ← Croissant metadata (JSON-LD)
+├── data/
+│   ├── csv/                   ← 18 CSV exports of every relevant DB table
+│   └── sqlite/                ← (optional) full SQLite database, if present
+├── code/
+│   ├── collectors/            ← 18 signal-collector implementations
+│   ├── scoring/               ← NLP pipeline + factor composite + data quality
+│   ├── pipeline/              ← scheduler / orchestration
+│   ├── config.py              ← global pipeline configuration
+│   ├── main.py                ← entrypoint (`python main.py --serve`, etc.)
+│   └── requirements.txt       ← Python dependencies
+├── paper/
+│   ├── neurips_agentpulse.tex ← LaTeX source
+│   ├── neurips_agentpulse.pdf ← compiled paper
+│   ├── neurips_2026.sty       ← NeurIPS 2026 style file
+│   ├── checklist_.tex         ← NeurIPS Paper Checklist
+│   ├── regen_figures.py       ← regenerates all 5 paper figures from the data
+│   └── fig*.{png,pdf}         ← compiled figures
+└── docs/
+    └── schema.md              ← per-table column documentation
+```
+
+---
+
+## Data tables (`data/csv/`)
+
+| File                              | Rows    | Description |
+|-----------------------------------|---------|-------------|
+| `agent_scores.csv`                | 13,504  | Composite + per-factor scores per agent per category, time-stamped. The headline scoring output. |
+| `agent_signals_raw.csv`           | 3,283   | Raw per-signal observations per agent (pre-aggregation). |
+| `agent_benchmark_signals.csv`     | 1,563   | Published benchmark scores (SWE-bench, GAIA, WebArena, HumanEval+, τ-bench). |
+| `agent_github_history.csv`        | 62      | GitHub stars / contributors / commits time-series. |
+| `agent_pypi_history.csv`          | 1,440   | PyPI / npm download history. |
+| `sentiment_scores.csv`            | 60,639  | NLP-scored texts (VADER + TextBlob + FinBERT + DistilBERT-SST2 ensemble). |
+| `data_quality.csv`                | 38,965  | Composite quality score per text (uniqueness × bot × credibility × specificity). |
+| `models.csv`                      | 148     | Agent + model registry with vendor / category metadata. |
+| `bluesky_signals.csv`             | 35,326  | Per-platform raw text + engagement. |
+| `reddit_signals.csv`              | 2,413   | "" |
+| `hn_signals.csv`                  | 21,205  | "" |
+| `stackoverflow_signals.csv`       | 571     | "" |
+| `github_signals.csv`              | 23,288  | "" |
+| `github_discussions_signals.csv`  | 2,090   | "" |
+| `devto_signals.csv`               | 596     | "" |
+| `mastodon_signals.csv`            | 1,160   | "" |
+| `v2ex_signals.csv`                | 1,794   | "" |
+| `devtools_signals.csv`            | 89      | VS Code / IDE marketplace install counts. |
+
+All CSVs are UTF-8 encoded with a header row. Timestamps are ISO-8601
+in UTC. See `docs/schema.md` for full column documentation.
+
+---
+
+## Reproducing paper results
+
+```bash
+cd code/
+pip install -r requirements.txt
+
+# Reproduce all figures (writes into ../paper/)
+python ../paper/regen_figures.py
+
+# Re-derive composite scores from raw signals
+python -m scoring.agent_scoring_v2 --rebuild
+
+# Re-run the full pipeline end-to-end (continuous mode)
+python main.py
+```
+
+The cross-factor predictive validity result (Table 3, ρₛ=0.52, p<0.01,
+n=35) is computed in `code/scoring/agent_scoring_v2.py` and can be
+re-derived directly from `data/csv/agent_scores.csv` and external
+adoption proxies.
+
+---
+
+## Provenance
+
+All signals are collected from public APIs with documented rate-limits
+under each API's terms of service. Specifically:
+
+- **GitHub**: REST + GraphQL APIs (60 req/hr unauth, 5,000 req/hr authed)
+- **PyPI**: BigQuery public dataset
+- **VS Code Marketplace**: Public extension API
+- **Bluesky / Mastodon**: AT-Protocol / ActivityPub public firehose
+- **Reddit / Hacker News / Stack Overflow / Lemmy / Lobsters / Dev.to / V2EX**:
+  Documented public APIs
+- **Benchmark scores**: Scraped from the official leaderboard pages
+  cited in the paper (SWE-bench, GAIA, WebArena, HumanEval+, τ-bench)
+
+No private data, no scraped paywalled content, no PII beyond public
+authorship metadata is included. The release contains no individual
+user records — only aggregated per-text metadata required for sentiment
+scoring (post id, author handle if public, engagement counts).
+
+---
+
+## Citation
+
+```
+@inproceedings{agentpulse2026,
+  title = {AgentPulse: A Continuous Multi-Signal Framework for Evaluating
+           AI Agents in Deployment},
+  author = {Anonymous},
+  booktitle = {NeurIPS Datasets and Benchmarks Track},
+  year = {2026}
+}
+```
+
+## Contact
+
+Per the NeurIPS double-blind review policy, author contact is withheld
+during review. Issues with the artifact may be reported via the
+submission system.