| | --- |
| | license: apache-2.0 |
| | task_categories: |
| | - text-generation |
| | language: |
| | - en |
| | tags: |
| | - agent |
| | - coding |
| | - terminal |
| | - shell |
| | - pretrain |
| | - pretraining |
| | - agentic |
| | - llm |
| | - web |
| | - fineweb |
| | - dclm |
| | pretty_name: WebTerminal |
| | size_categories: |
| | - 10M<n<100M |
| | --- |
| | # Terminal/CLI Web Text |
| |
|
| |  |
| |
|
| | **v0.1**: 360B tokens, really noisy |
| |
|
| | A filtered extract of terminal and command-line content from two large web-text corpora, consists of 360B tokens |
| |
|
| | ## Sources |
| |
|
| | - **DCLM** (`Zyphra/dclm-dedup`) |
| | - **FineWeb** (`Salesforce/fineweb_deduplicated`) |
| |
|
| | ## How it was built |
| |
|
| | 1. **Fast filter**: skip any document that doesn't contain obvious CLI indicators (`$`, `sudo`, `pip install`, `` ```bash ``, `root@`, etc.) |
| | 2. **Score**: remaining docs are scored (0-34) across five signals, each with a per-match point value and a cap: |
| |
|
| | | Filter | Description | Points | Cap | |
| | |---|---|---|---| |
| | | Prompt patterns | Shell prompts like `$ cmd`, `user@host:~$`, `>>>`, `root@`, `PS C:\` | 2 per match | 10 | |
| | | CLI commands | Known commands: `sudo`, `apt-get`, `pip install`, `git clone`, `docker run`, `curl`, `ssh`, `gcc`, etc. (30+ patterns) | 1 per unique match | 8 | |
| | | stdout patterns | Output indicators: "successfully installed", "cloning into", `drwx` (ls output), "packets transmitted", "traceback", version strings | 2 per match | 6 | |
| | | Code blocks | Terminal-flavored code blocks: `` ```bash ``, `` ```shell ``, `<pre><code>`, terminal/console div classes | 2 per match | 6 | |
| | | Indented blocks | 3+ consecutive lines indented 4+ spaces (code/output blocks) | 1 per match | 4 | |
| |
|
| | Documents scoring >=5 are kept. |
| |
|
| | 3. **Dedup**: exact dedup across both datasets using xxhash64 on full text. |
| |
|
| | ## Stats |
| |
|
| | | | Chunks | Size | Rows | |
| | |---|---|---|---| |
| | | DCLM | 13,144 | ~229 GB | ~18.8M | |
| | | FineWeb | 8,800 | ~669 GB | ~47.5M | |
| |
|
| | | Score | Count | % | Cumulative | |
| | |---|---|---|---| |
| | | 5 | 39,025,201 | 63.62% | 63.62% | |
| | | 6 | 10,787,199 | 17.59% | 81.21% | |
| | | 7 | 4,063,886 | 6.63% | 87.83% | |
| | | 8 | 2,911,983 | 4.75% | 92.58% | |
| | | 9 | 1,304,162 | 2.13% | 94.70% | |
| | | 10 | 1,022,996 | 1.67% | 96.37% | |
| | | 11-14 | 1,609,090 | 2.62% | 98.99% | |
| | | 15-20 | 536,421 | 0.87% | 99.87% | |
| | | 21-34 | 80,340 | 0.13% | 100.00% | |
| | | **Total** | **61,341,278** | | | |
| |
|
| | ## Use case |
| |
|
| | Mostly for upsampling agentic-adjacent data during pretraining. |
