Datasets:
update sample data
Browse files- .gitattributes +2 -0
- README.md +67 -0
- data.csv +3 -0
- data.jsonl +3 -0
.gitattributes
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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data.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: cc-by-4.0
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task_categories:
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- text-classification
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- feature-extraction
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language:
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- en
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tags:
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- b2b
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- saas
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- data
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- api
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- ai-tools
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pretty_name: "AI/SaaS Tools 260K (sample)"
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size_categories:
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- 1K<n<100K
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---
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# Datenix tool-intel · AI/SaaS Tools 260K (sample)
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**10,000 sample rows** from a full database of **259,665 unique entities**.
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260K unique AI/SaaS tool domains cross-verified from 30+ industry directories.
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## Files
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- data.jsonl — 10K rows JSONL (line-delimited JSON, one entity per line)
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- data.csv — same data in CSV format
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## Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("datenix/tool-intel-sample")
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print(ds["train"][0])
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```
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Or plain jsonl:
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```python
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import json
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with open("data.jsonl") as f:
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for line in f:
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rec = json.loads(line)
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print(rec)
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```
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## Full dataset
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Full DB via commercial API: https://datenix.xyz
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## Citation
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```
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@dataset{datenix_ai-tools_2026,
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title = {AI/SaaS Tools 260K (sample)},
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author = {Datenix},
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year = {2026},
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url = {https://datenix.xyz},
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license = {CC-BY-4.0}
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}
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```
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## License
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CC-BY-4.0 · Attribution required for commercial use.
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data.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:029478c9a86e84fa813d41a2dda687ed5a6c0d65e70f95fae5f01a09fcd13bfe
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size 20938407
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data.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:ecc7b741eee0eb4e7ebd7c8295895c88abaf12f12dcf839e98dc49889f77aac5
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size 21509174
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