The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
id: string
layer: string
severity: string
title: string
detail: string
evidence: string
layer_name: string
description: string
finding: string
endpoint: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1418
to
{'source_id': Value('string'), 'name': Value('string'), 'status': Value('string'), 'tool_count': Value('int64'), 'tools': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2674, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2208, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2232, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 483, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 209, in _generate_tables
yield Key(file_idx, batch_idx), self._cast_table(pa_table)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 147, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
id: string
layer: string
severity: string
title: string
detail: string
evidence: string
layer_name: string
description: string
finding: string
endpoint: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1418
to
{'source_id': Value('string'), 'name': Value('string'), 'status': Value('string'), 'tool_count': Value('int64'), 'tools': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
pplx-e2b-re Research Platform — Dataset
Research data from the Perplexity E2B sandbox reverse engineering project. Contains structured findings, probe results, embeddings, and configuration data collected across 12+ sessions.
Dataset Structure
Categories
| Category | Files | Rows | Description |
|---|---|---|---|
| probes | 18 | 931 | Sandbox environment probes: connectors, models, features, cookies, embeddings |
| rundeck_probes | 16 | 308 | Automated probe results: GitHub, Linear, HF, envd metrics, network peers |
| overview | 6 | 243 | Session overviews: master catalog, inventories, connectors list |
| rundeck_state | 7 | 163 | Rundeck operational state: manifests, compacts, toolkit, services |
| rundeck_data | 1 | 20 | Probe data: LLM API/SDK configurations |
Key Datasets
- findings_embeddings.parquet — 162 research findings with 1536-dim HuggingFace embeddings for semantic search
- eppo_idb_flags.parquet — 395 feature flags from Perplexity's Eppo integration
- models_config_v1.parquet — 65 LLM model configurations (including unreleased models)
- copilot_models.parquet — 42 GitHub Copilot model definitions with capabilities
- rootfs_scan.parquet — Full sandbox root filesystem metadata (130 columns)
Sandbox Context
| Field | Value |
|---|---|
| Platform | E2B Firecracker MicroVM |
| Kernel | 6.1.158 |
| OS | Debian 13 (trixie) |
| Template | ij1plp1090o3fuzyuac0 |
Usage
import pyarrow.parquet as pq
import duckdb
# Load a parquet file
findings = pq.read_table("data/probes/findings_embeddings.parquet")
# Query with DuckDB
con = duckdb.connect()
result = con.sql("""
SELECT category, count(*) as n
FROM 'data/probes/findings_all.parquet'
GROUP BY category
ORDER BY n DESC
""").fetchall()
License
MIT — see repository for full details.
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