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license: apache-2.0 |
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task_categories: |
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- text-generation |
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language: |
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- en |
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tags: |
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- agent |
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- coding |
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- terminal |
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- shell |
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- pretrain |
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- pretraining |
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- agentic |
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- llm |
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- web |
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- fineweb |
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- dclm |
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pretty_name: WebTerminal |
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size_categories: |
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- 10M<n<100M |
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--- |
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# Terminal/CLI Web Text |
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**v0.1** |
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A filtered extract of terminal and command-line content from two large web-text corpora. |
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## Sources |
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- **DCLM** (`Zyphra/dclm-dedup`) |
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- **FineWeb** (`Salesforce/fineweb_deduplicated`) |
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## How it was built |
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1. **Fast filter**: skip any document that doesn't contain obvious CLI indicators (`$`, `sudo`, `pip install`, `` ```bash ``, `root@`, etc.) |
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2. **Score**: remaining docs are scored (0-34) across five signals, each with a per-match point value and a cap: |
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| Filter | Description | Points | Cap | |
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|---|---|---|---| |
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| Prompt patterns | Shell prompts like `$ cmd`, `user@host:~$`, `>>>`, `root@`, `PS C:\` | 2 per match | 10 | |
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| CLI commands | Known commands: `sudo`, `apt-get`, `pip install`, `git clone`, `docker run`, `curl`, `ssh`, `gcc`, etc. (30+ patterns) | 1 per unique match | 8 | |
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| stdout patterns | Output indicators: "successfully installed", "cloning into", `drwx` (ls output), "packets transmitted", "traceback", version strings | 2 per match | 6 | |
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| Code blocks | Terminal-flavored code blocks: `` ```bash ``, `` ```shell ``, `<pre><code>`, terminal/console div classes | 2 per match | 6 | |
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| Indented blocks | 3+ consecutive lines indented 4+ spaces (code/output blocks) | 1 per match | 4 | |
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Documents scoring >=5 are kept. |
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3. **Dedup**: exact dedup across both datasets using xxhash64 on full text. |
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## Stats |
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| | Chunks | Size | Rows | |
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|---|---|---|---| |
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| DCLM | 13,144 | ~229 GB | ~18.8M | |
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| FineWeb | 8,800 | ~669 GB | ~47.5M | |
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| Score | Count | % | Cumulative | |
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|---|---|---|---| |
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| 5 | 39,025,201 | 63.62% | 63.62% | |
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| 6 | 10,787,199 | 17.59% | 81.21% | |
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| 7 | 4,063,886 | 6.63% | 87.83% | |
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| 8 | 2,911,983 | 4.75% | 92.58% | |
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| 9 | 1,304,162 | 2.13% | 94.70% | |
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| 10 | 1,022,996 | 1.67% | 96.37% | |
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| 11-14 | 1,609,090 | 2.62% | 98.99% | |
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| 15-20 | 536,421 | 0.87% | 99.87% | |
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| 21-34 | 80,340 | 0.13% | 100.00% | |
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| **Total** | **61,341,278** | | | |
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## Use case |
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Mostly for upsampling agentic-adjacent data during pretraining. |
