docs: update TELEMETRY.md to reflect current event set

[noahho]

Summary

• Adds three events that the telemetry layer emits today but were missing from the document: model_load, dataset, and extension_entry.
• Adds the per-event metadata fields that weren't listed: runtime_kernel, runtime_environment, platform_os.
• Fixes the numpy_vesion → numpy_version typo.
• Breaks out an "Extra metadata (per-event)" section so readers can see exactly which fields are attached to each event type.

Brings TELEMETRY.md into line with the events declared in tabpfn_common_utils.telemetry.core.events.

Test plan

• Render on GitHub and eyeball the formatting
• Confirm event names match tabpfn_common_utils/src/tabpfn_common_utils/telemetry/core/events.py

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[gemini-code-assist]

Code Review

This pull request updates the TELEMETRY.md file to provide a more comprehensive and accurate description of the data collected by the project. It introduces several new events (model_load, dataset, extension_entry), expands the metadata collected for all events (e.g., OS, runtime environment, library versions), and restructures the per-event metadata section. A review comment suggests including the fit_mode parameter in the metadata description for the session event to ensure full transparency.

[gemini-code-assist]

The session event also appears to collect the fit_mode parameter, as seen in the initialization of TabPFNClassifier and TabPFNRegressor (e.g., log_model_init_params(self, {"fit_mode": self.fit_mode})). It should be included in the "Extra metadata (per-event)" section for completeness and transparency.

Suggested change

	- `fit_called` / `predict_called`: `task` (classification or regression), `num_rows` (*rounded*), `num_columns` (*rounded*), `duration_ms`
	- `session`: `fit_mode`\n- `fit_called` / `predict_called`: `task` (classification or regression), `num_rows` (*rounded*), `num_columns` (*rounded*), `duration_ms`

[Copilot]

Pull request overview

Updates the repository’s telemetry documentation to reflect the currently emitted event set and associated metadata, aligning TELEMETRY.md with the telemetry layer’s present behavior.

Changes:

• Expands the documented telemetry events to include model_load, dataset, and extension_entry, and clarifies existing event descriptions.
• Updates the “Metadata (all events)” list to include additional fields and fixes the numpy_vesion → numpy_version typo.
• Reorganizes event-specific fields into an “Extra metadata (per-event)” section for clarity.

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