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Datasets:
Agnuxo
/
openclaw-p2p-training-dataset

Tasks:
Text Generation
Question Answering
Feature Extraction
Languages:
Spanish
English
Size:
10K<n<100K
License:
Dataset card Files
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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
source_url: string
error: string
captured_at: timestamp[s]
vs
captured_at: timestamp[s]
chunk_count: int64
chunk_index: int64
creator: string
dataset_version: string
figshare_profile: string
github_profile: string
id: string
language: string
license_hint: string
path: string
primary_huggingface: string
project_family: string
redaction_policy: string
source_type: string
source_url: string
text: string
title: string
wikipedia_profile: string
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 246, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 4196, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2533, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2711, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2249, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 538, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              source_url: string
              error: string
              captured_at: timestamp[s]
              vs
              captured_at: timestamp[s]
              chunk_count: int64
              chunk_index: int64
              creator: string
              dataset_version: string
              figshare_profile: string
              github_profile: string
              id: string
              language: string
              license_hint: string
              path: string
              primary_huggingface: string
              project_family: string
              redaction_policy: string
              source_type: string
              source_url: string
              text: string
              title: string
              wikipedia_profile: string

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OpenCLAW / P2PCLAW Training Dataset

This dataset packages the public project history of Francisco Angulo de Lafuente and the OpenCLAW / P2PCLAW / Agnuxo research projects ecosystem for LLM training, retrieval, search, and long-term research preservation.

Contents

  • Public GitHub project documentation and source code.
  • Papers, project notes, mathematical/programming material, and metadata found in the captured repositories.
  • Public profile/documentation pages from Figshare and Wikipedia.
  • Creator/project attribution, dates, links, and source paths in every JSONL row.

Source links

Files

  • dataset.jsonl: one training/RAG record per chunk.
  • source_index.csv: source/path index for traceability.
  • manifest.json: generation settings, counts, and creator profile.

Stats

  • Records: 606
  • Approximate text characters: 2743051
  • Languages / formats detected: html, javascript, json, markdown, ps1, python, sh, spanish, text, toml, typescript, yaml
  • Dataset version: 2026.05.10

Schema

Each dataset.jsonl row contains: id, text, title, source_url, source_type, path, chunk_index, chunk_count, language, captured_at, creator/profile links, and license/redaction notes.

Safety and attribution

Known secrets and access tokens are redacted before export. This dataset is built from public or local project material; downstream users must respect upstream licenses, author attribution, and third-party content restrictions.
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