Datasets:

gss1147
/

AgentAngel_50k

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
brand: string
dataset: string
generated: timestamp[s]
splits: struct<qa: int64, instruct: int64, thinking: int64, reasoning: int64, chat: int64>
total_rows: int64
sources_count: int64
vs
swebench_original: string
swebench_overview: string
swebench_repo: string
swebench_versioning: string
swebench_verified_openai: string
sweagent_repo: string
sweagent_docs: string
swesmith_repo: string
swesmith_paper: string
codeclash_site: string
codeclash_repo: string
codeclash_paper: string
codex_intro: string
mcp_spec: string
mcp_tools: string
mcp_auth: string
aaif_lf_press: string
agents_md_openai: string
owasp_top10_llm: string
owasp_llm01: string
ncsc_prompt_injection_news: string
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, 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 3496, 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 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 547, 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: 
              brand: string
              dataset: string
              generated: timestamp[s]
              splits: struct<qa: int64, instruct: int64, thinking: int64, reasoning: int64, chat: int64>
              total_rows: int64
              sources_count: int64
              vs
              swebench_original: string
              swebench_overview: string
              swebench_repo: string
              swebench_versioning: string
              swebench_verified_openai: string
              sweagent_repo: string
              sweagent_docs: string
              swesmith_repo: string
              swesmith_paper: string
              codeclash_site: string
              codeclash_repo: string
              codeclash_paper: string
              codex_intro: string
              mcp_spec: string
              mcp_tools: string
              mcp_auth: string
              aaif_lf_press: string
              agents_md_openai: string
              owasp_top10_llm: string
              owasp_llm01: string
              ncsc_prompt_injection_news: string

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Within Us AI — AgentAngel_50k (Agentic Coding 2026)

AgentAngel is a master-scholar, evidence-backed dataset family for training and evaluating agentic coding models that plan, patch, run checks, and iterate with tests-as-truth.

This release contains 50,000 examples per split (250,000 JSONL rows total):

Q&A: fact-grounded with rights/wrongs
Instruct: chat messages supervision
Thinking: concise rationales (no long hidden chains)
Reasoning: constraints + verification checks
Chat: multi-turn

Evidence discipline

Each row includes evidence_sources URLs to primary references (benchmark pages, specifications, official docs, and security guidance). Prescriptive guidance is written as recommendation (not as a factual claim).

Files

splits/agentangel_50k.qa.jsonl
splits/agentangel_50k.instruct.jsonl
splits/agentangel_50k.thinking.jsonl
splits/agentangel_50k.reasoning.jsonl
splits/agentangel_50k.chat.jsonl
sources.json
manifest.json

Community results

Please report fine-tune/eval results in Discussions (model, method, harness, metrics, deltas).

— Within Us AI

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