README.md

metadata

language:
  - en
license: unknown
size_categories:
  - 1K<n<10K
configs:
  - config_name: structured_WIP
    data_files:
      - split: train
        path: tildes.parquet

codex dataset card

> generated by Codex_

Dataset Card for tildes-structured_WIP

Dataset Summary

This is a partial, structurally validated supervised fine-tuning dataset derived from the Tildes thread-only curation pipeline. It was generated from the first 3,884 checkpointed source topics of the full_v1 run and contains 2,577 usable training records after root curation, input-author subtree scrubbing, and post-scrub trainability checks.

The intended training shape is:

• input: a source-only, user-like root prompt.
• discussion.nodes: a multi-author tree/forest of source discussion posts.
• metadata: provenance, curation, and audit fields not intended as model input.

There is no final-answer or output target. The intended SFT task is input -> discussion.

This preflight slice is suitable for testing training templates, data loaders, upload tooling, and downstream dataset consumers. It should not be treated as the final full_v1 dataset.

Dataset Details

• Language: English
• Source website: https://tildes.net
• Source crawl date: 2026-05-03
• Derived split: structured_preflight_3884
• Primary data file: tildes.parquet
• Companion source JSONL: tildes.jsonl
• Records: 2,577
• Discussion nodes: 26,789
• Blank discussion nodes: 5
• Rows with output field: 0
• Rows with u0 in discussion.nodes: 0

Root policy counts:

Root policy	Records
topic_root	903
standalone_top_level	1,178
topic_context_top_level	496

Split status counts:

Split status	Records
original	903
split	1,674

Text volume:

Metric	Value
Input characters	2,478,840
Input nonblank characters	2,034,051
Discussion node characters	16,136,506
Discussion node nonblank characters	13,238,627
Minimum discussion nodes per record	1
Maximum discussion nodes per record	275

Parquet conversion:

Metric	Value
Parquet file size	8.0 MB
Rows	2,577
Row groups	1
Max uncompressed row group size	18.5 MB
Compression	ZSTD

Dataset Structure

Each row has the following top-level fields:

Field	Type	Description
input	string	Source-only prompt intended to read like something a person might ask an assistant
discussion.nodes	list	Source discussion tree/forest after input-author subtree scrubbing
metadata	object	Source, curation, filtering, and audit metadata

Each discussion node has:

Field	Type	Description
id	string	Per-example node ID, reindexed as n0, n1, etc.
parent	string or null	Parent node ID inside the same example
author	string	Per-example anonymised author ID starting at u1
content	string	Source comment body text

Important format choices:

• The root/user prompt is stored as input, not as a discussion node.
• Discussion node authors start at u1; u0 is reserved conceptually for the prompt author and does not appear in discussion.nodes.
• New rows omit output entirely.
• metadata is for auditing and curation; it is not intended as model input.

Uses

This preflight slice is most appropriate for:

• smoke-testing SFT data loaders and chat templates,
• validating Parquet upload and viewer behavior,
• running small pilot training jobs,
• checking downstream consumers before the full dataset is generated.

It is not intended as:

• the final full_v1 dataset,
• a complete assistant instruction-following dataset,
• a final-answer or QA dataset,
• a safety-filtered assistant dataset,
• a factual benchmark.

Bias, Risks, and Limitations

The dataset inherits the risks of the public Tildes crawl, including offensive language, misinformation, sensitive topics, copyrighted quotations, and personally identifying information inside post content.

The source text is anonymised only in structured author fields. Exact source text, URLs, topic IDs, quotations, names, or handles may still appear in content or metadata.

DeepSeek was used only for root and branch appraisal. It did not generate, rewrite, summarise, or trim training text. However, its decisions influence which records appear in this slice.

Because this is a partial preflight slice, distributions by topic, group, prompt style, and discussion shape may differ from the final full run.

License and Redistribution

No license was identified for the source forum content. This derived dataset is therefore marked as license: unknown.

The dataset consists of transformed public forum posts authored by third parties. Users are responsible for determining whether their intended use is lawful, including with respect to copyright, privacy, data protection, and platform terms.