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| 1 |
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---
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| 2 |
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language:
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- en
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license: unknown
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size_categories:
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- 1K<n<10K
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configs:
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- config_name: structured_WIP
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data_files:
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- split: train
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path: "tildes.parquet"
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---
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<div style="
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display: inline-block;
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width: fit-content;
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max-width: 100%;
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background: #0b0f14;
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border: 1px solid #223044;
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border-left: 5px solid #20c997;
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border-radius: 8px;
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padding: 14px 18px;
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margin-bottom: 20px;
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color: #e6edf3;
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font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', monospace;
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box-shadow: 0 8px 24px rgba(15, 23, 42, 0.18);
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">
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<p style="
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margin: 0 0 6px 0;
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color: #8aa2bd;
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font-size: 12px;
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line-height: 1.4;
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text-transform: uppercase;
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">codex dataset card</p>
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<p style="
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margin: 0;
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color: #e6edf3;
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font-size: 15px;
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font-weight: 650;
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line-height: 1.45;
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"><span style="color:#20c997;">></span> generated by <span style="color:#ffffff;">Codex</span><span style="color:#20c997;">_</span></p>
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</div>
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# Dataset Card for tildes-structured_WIP
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## Dataset Summary
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This is a partial, structurally validated supervised fine-tuning dataset derived
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from the Tildes thread-only curation pipeline. It was generated from the first
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3,884 checkpointed source topics of the `full_v1` run and contains 2,577 usable
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training records after root curation, input-author subtree scrubbing, and
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post-scrub trainability checks.
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The intended training shape is:
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- `input`: a source-only, user-like root prompt.
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- `discussion.nodes`: a multi-author tree/forest of source discussion posts.
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- `metadata`: provenance, curation, and audit fields not intended as model
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input.
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There is no final-answer or `output` target. The intended SFT task is
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`input -> discussion`.
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This preflight slice is suitable for testing training templates, data loaders,
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upload tooling, and downstream dataset consumers. It should not be treated as
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the final `full_v1` dataset.
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## Dataset Details
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- **Language:** English
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- **Source website:** https://tildes.net
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- **Source crawl date:** 2026-05-03
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- **Derived split:** `structured_preflight_3884`
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- **Primary data file:** `tildes.parquet`
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- **Companion source JSONL:** `tildes.jsonl`
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- **Records:** 2,577
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- **Discussion nodes:** 26,789
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- **Blank discussion nodes:** 5
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- **Rows with `output` field:** 0
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- **Rows with `u0` in `discussion.nodes`:** 0
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Root policy counts:
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| Root policy | Records |
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|---|---:|
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| `topic_root` | 903 |
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| `standalone_top_level` | 1,178 |
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| `topic_context_top_level` | 496 |
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Split status counts:
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| Split status | Records |
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|---|---:|
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| `original` | 903 |
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| `split` | 1,674 |
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Text volume:
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| Metric | Value |
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|---|---:|
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| Input characters | 2,478,840 |
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| Input nonblank characters | 2,034,051 |
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| Discussion node characters | 16,136,506 |
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| Discussion node nonblank characters | 13,238,627 |
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| Minimum discussion nodes per record | 1 |
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| Maximum discussion nodes per record | 275 |
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Parquet conversion:
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| Metric | Value |
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|---|---:|
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| Parquet file size | 8.0 MB |
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| Rows | 2,577 |
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| Row groups | 1 |
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| Max uncompressed row group size | 18.5 MB |
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| Compression | ZSTD |
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## Dataset Structure
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Each row has the following top-level fields:
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| Field | Type | Description |
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|---|---|---|
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| `input` | string | Source-only prompt intended to read like something a person might ask an assistant |
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| `discussion.nodes` | list<object> | Source discussion tree/forest after input-author subtree scrubbing |
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| `metadata` | object | Source, curation, filtering, and audit metadata |
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Each discussion node has:
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| Field | Type | Description |
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|---|---|---|
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| `id` | string | Per-example node ID, reindexed as `n0`, `n1`, etc. |
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| `parent` | string or null | Parent node ID inside the same example |
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| `author` | string | Per-example anonymised author ID starting at `u1` |
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| `content` | string | Source comment body text |
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Important format choices:
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- The root/user prompt is stored as `input`, not as a discussion node.
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- Discussion node authors start at `u1`; `u0` is reserved conceptually for the
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prompt author and does not appear in `discussion.nodes`.
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- New rows omit `output` entirely.
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- `metadata` is for auditing and curation; it is not intended as model input.
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## Uses
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This preflight slice is most appropriate for:
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- smoke-testing SFT data loaders and chat templates,
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- validating Parquet upload and viewer behavior,
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- running small pilot training jobs,
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- checking downstream consumers before the full dataset is generated.
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It is not intended as:
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- the final `full_v1` dataset,
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- a complete assistant instruction-following dataset,
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- a final-answer or QA dataset,
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- a safety-filtered assistant dataset,
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- a factual benchmark.
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## Bias, Risks, and Limitations
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The dataset inherits the risks of the public Tildes crawl, including offensive
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language, misinformation, sensitive topics, copyrighted quotations, and
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personally identifying information inside post content.
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The source text is anonymised only in structured `author` fields. Exact source
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text, URLs, topic IDs, quotations, names, or handles may still appear in content
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or metadata.
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DeepSeek was used only for root and branch appraisal. It did not generate,
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rewrite, summarise, or trim training text. However, its decisions influence
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which records appear in this slice.
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Because this is a partial preflight slice, distributions by topic, group,
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prompt style, and discussion shape may differ from the final full run.
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## License and Redistribution
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No license was identified for the source forum content. This derived dataset is
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therefore marked as `license: unknown`.
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The dataset consists of transformed public forum posts authored by third
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parties. Users are responsible for determining whether their intended use is
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| 186 |
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lawful, including with respect to copyright, privacy, data protection, and
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| 187 |
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platform terms.
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