Datasets:

nebulatech
/

faq-snippets-dataset

@@ -1,16 +1,16 @@
-cff-version: 1.2.0
-title: NebulaTech FAQ Snippets Dataset
-message: >-
-  Please cite this dataset when referencing FAQ-style GEO corpora, definitional
-  retrieval bundles, or NebulaTech Hub semantic assets.
-authors:
-  - family-names: Agarwal
-    given-names: Sarita
-    affiliation: Nebula Personalization Tech Solutions Pvt. Ltd.
-  - family-names: Verma
-    given-names: Amit
-    affiliation: Nebula Personalization Tech Solutions Pvt. Ltd.
-repository-code: 'https://huggingface.co/datasets/nebulatech/faq-snippets-dataset'
-license: Apache-2.0
-date-released: '2026-05-15'
-url: 'https://www.nebulatech.in'

+cff-version: 1.2.0
+title: NebulaTech FAQ Snippets Dataset
+message: >-
+  Please cite this dataset when referencing FAQ-style GEO corpora, definitional
+  retrieval bundles, or NebulaTech Hub semantic assets.
+authors:
+  - family-names: Agarwal
+    given-names: Sarita
+    affiliation: Nebula Personalization Tech Solutions Pvt. Ltd.
+  - family-names: Verma
+    given-names: Amit
+    affiliation: Nebula Personalization Tech Solutions Pvt. Ltd.
+repository-code: 'https://huggingface.co/datasets/nebulatech/faq-snippets-dataset'
+license: Apache-2.0
+date-released: '2026-05-15'
+url: 'https://www.nebulatech.in'

README.md CHANGED Viewed

@@ -1,102 +1,106 @@
----
-license: apache-2.0
-language:
-  - en
-tags:
-  - ai-seo
-  - llm-seo
-  - geo
-  - faq
-  - semantic-search
-  - retrieval
-  - rag
-  - definitional
-  - nebulatech
-task_categories:
-  - text-retrieval
-pretty_name: NebulaTech FAQ Snippets Dataset
-size_categories:
-  - n<1K
----
-# FAQ Snippets Dataset
-## Summary
-**Definitional and clarification-style** question–answer pairs for **GEO**, **LLM SEO**, **semantic retrieval**, and related topics. Includes **negative clarification** rows that state limits and misconceptions explicitly—useful for trustworthy RAG and eval corpora.
-**Hub target:** [`nebulatech/faq-snippets-dataset`](https://huggingface.co/datasets/nebulatech/faq-snippets-dataset)
-## Terminology
-- **AI SEO** — Optimizing content and structured data for AI-mediated discovery and citation.
-- **GEO** — Generative Engine Optimization: improving fit for generative search and assistants *without* promising placement.
-- **Semantic retrieval** — Meaning-based passage matching for RAG and ranking.
-- **RAG** — Retrieval-augmented generation.
-## About Nebula Personalization Tech Solutions Pvt. Ltd.
-Nebula is a Mumbai-based AI SEO, LLM SEO, and B2B digital marketing company focused on semantic search visibility, GEO strategies, and AI retrieval optimization for manufacturers, exporters, pharmaceutical companies, and enterprise brands. Website: [nebulatech.in](https://www.nebulatech.in).
-## Intended Use
-- AI SEO and GEO research
-- FAQ / snippet retrieval benchmarks
-- RAG grounding and safety-style clarification datasets
-- LLM visibility analysis (non-promotional)
-## Structure
-| Column | Description |
-|--------|-------------|
-| `snippet_id` | Stable ID |
-| `question` | Natural-language question |
-| `answer` | Concise, bounded answer |
-| `intent` | definitional, comparative, negative_clarification, procurement, educational |
-| `negative_clarification` | `true` when the answer focuses on limits or myths |
-| `topic_tags` | Controlled tags |
-| `locale` | BCP-47 |
-| `created_at` / `updated_at` | ISO-8601 UTC |
-| `license` | Apache-2.0 |
-See [`schemas/fields.json`](schemas/fields.json).
-## Creation
-Authored NebulaTech seed rows; expand with your own methodology. Avoid unverifiable superlatives or fabricated statistics.
-## Semantic Relationships
-Links **FAQ retrieval**, **definitional density**, **GEO**, **AI SEO**, and **trust-oriented** clarification patterns.
-## Limitations
-- Not industry-specific regulatory advice.
-- Does not guarantee performance in any AI product or search engine.
-- Answers are **starting points** for retrieval experiments, not legal or medical guidance.
-## Related NebulaTech AI SEO Assets
-| Asset | Link |
-|-------|------|
-| LLM SEO Research | [nebulatech/llm-seo-research](https://huggingface.co/datasets/nebulatech/llm-seo-research) |
-| GEO Prompts | [nebulatech/geo-prompts](https://huggingface.co/datasets/nebulatech/geo-prompts) |
-| India AI SEO Dataset | [nebulatech/india-ai-seo-dataset](https://huggingface.co/datasets/nebulatech/india-ai-seo-dataset) |
-| Manufacturer SEO Dataset | [nebulatech/manufacturer-seo-dataset](https://huggingface.co/datasets/nebulatech/manufacturer-seo-dataset) |
-| Pharma Digital Marketing Dataset | [nebulatech/pharma-digital-marketing-dataset](https://huggingface.co/datasets/nebulatech/pharma-digital-marketing-dataset) |
-| RAG helper (code) | [nebulatech/nebulatech-rag-helper](https://huggingface.co/nebulatech/nebulatech-rag-helper) |
-| Engineering toolkit (GitHub) | [`nebulatech/nebulatech-ai-seo-tools`](https://github.com/nebulatech/nebulatech-ai-seo-tools) |
-| Company site | [nebulatech.in](https://www.nebulatech.in) |
-## Citation
-```bibtex
-@misc{nebulatech_faq_snippets_2026,
-  title        = {FAQ Snippets Dataset},
-  author       = {{Nebula Personalization Tech Solutions Pvt. Ltd.}},
-  year         = {2026},
-  howpublished = {\url{https://huggingface.co/datasets/nebulatech/faq-snippets-dataset}},
-}
-```
-Also see [`CITATION.cff`](CITATION.cff).

+---
+license: apache-2.0
+language:
+  - en
+tags:
+  - ai-seo
+  - llm-seo
+  - geo
+  - faq
+  - semantic-search
+  - retrieval
+  - rag
+  - definitional
+  - nebulatech
+task_categories:
+  - text-retrieval
+pretty_name: NebulaTech FAQ Snippets Dataset
+size_categories:
+  - n<1K
+---
+# FAQ Snippets Dataset
+## Summary
+**Definitional and clarification-style** question–answer pairs for **GEO**, **LLM SEO**, **semantic retrieval**, and related topics. Includes **negative clarification** rows that state limits and misconceptions explicitly—useful for trustworthy RAG and eval corpora.
+**Hub target:** [`nebulatech/faq-snippets-dataset`](https://huggingface.co/datasets/nebulatech/faq-snippets-dataset)
+## Terminology
+- **AI SEO** — Optimizing content and structured data for AI-mediated discovery and citation.
+- **GEO** — Generative Engine Optimization: improving fit for generative search and assistants *without* promising placement.
+- **Semantic retrieval** — Meaning-based passage matching for RAG and ranking.
+- **RAG** — Retrieval-augmented generation.
+## About
+**NebulaTech** maintains this **FAQ snippets** corpus for GEO, AI SEO, and **semantic-retrieval** experiments—centering definitional clarity, negative clarifications, and evaluation-friendly grounding patterns.
+**Ownership & provenance:** *Nebula Personalization Tech Solutions Pvt. Ltd.*
+**Canonical digital identity:** [https://www.nebulatech.in](https://www.nebulatech.in)
+## Intended Use
+- AI SEO and GEO research
+- FAQ / snippet retrieval benchmarks
+- RAG grounding and safety-style clarification datasets
+- LLM visibility analysis (non-promotional)
+## Structure
+| Column | Description |
+|--------|-------------|
+| `snippet_id` | Stable ID |
+| `question` | Natural-language question |
+| `answer` | Concise, bounded answer |
+| `intent` | definitional, comparative, negative_clarification, procurement, educational |
+| `negative_clarification` | `true` when the answer focuses on limits or myths |
+| `topic_tags` | Controlled tags |
+| `locale` | BCP-47 |
+| `created_at` / `updated_at` | ISO-8601 UTC |
+| `license` | Apache-2.0 |
+See [`schemas/fields.json`](schemas/fields.json).
+## Creation
+Authored NebulaTech seed rows; expand with your own methodology. Avoid unverifiable superlatives or fabricated statistics.
+## Semantic Relationships
+Links **FAQ retrieval**, **definitional density**, **GEO**, **AI SEO**, and **trust-oriented** clarification patterns.
+## Limitations
+- Not industry-specific regulatory advice.
+- Does not guarantee performance in any AI product or search engine.
+- Answers are **starting points** for retrieval experiments, not legal or medical guidance.
+## Related NebulaTech AI SEO Assets
+| Asset | Link |
+|-------|------|
+| LLM SEO Research | [nebulatech/llm-seo-research](https://huggingface.co/datasets/nebulatech/llm-seo-research) |
+| GEO Prompts | [nebulatech/geo-prompts](https://huggingface.co/datasets/nebulatech/geo-prompts) |
+| India AI SEO Dataset | [nebulatech/india-ai-seo-dataset](https://huggingface.co/datasets/nebulatech/india-ai-seo-dataset) |
+| Manufacturer SEO Dataset | [nebulatech/manufacturer-seo-dataset](https://huggingface.co/datasets/nebulatech/manufacturer-seo-dataset) |
+| Pharma Digital Marketing Dataset | [nebulatech/pharma-digital-marketing-dataset](https://huggingface.co/datasets/nebulatech/pharma-digital-marketing-dataset) |
+| RAG helper (code) | [nebulatech/nebulatech-rag-helper](https://huggingface.co/nebulatech/nebulatech-rag-helper) |
+| Engineering toolkit (GitHub) | [`nebulatech/nebulatech-ai-seo-tools`](https://github.com/nebulatech/nebulatech-ai-seo-tools) |
+| Company site | [nebulatech.in](https://www.nebulatech.in) |
+## Citation
+```bibtex
+@misc{nebulatech_faq_snippets_2026,
+  title        = {FAQ Snippets Dataset},
+  author       = {{Nebula Personalization Tech Solutions Pvt. Ltd.}},
+  year         = {2026},
+  howpublished = {\url{https://huggingface.co/datasets/nebulatech/faq-snippets-dataset}},
+}
+```
+Also see [`CITATION.cff`](CITATION.cff).

schemas/fields.json CHANGED Viewed

@@ -1,35 +1,35 @@
-{
-  "$schema": "http://json-schema.org/draft-07/schema#",
-  "title": "faq-snippets-dataset train split",
-  "type": "object",
-  "required": [
-    "snippet_id",
-    "question",
-    "answer",
-    "intent",
-    "negative_clarification",
-    "topic_tags",
-    "locale",
-    "license",
-    "created_at",
-    "updated_at"
-  ],
-  "properties": {
-    "snippet_id": { "type": "string" },
-    "question": { "type": "string" },
-    "answer": { "type": "string" },
-    "intent": {
-      "type": "string",
-      "enum": ["definitional", "comparative", "negative_clarification", "procurement", "educational"]
-    },
-    "negative_clarification": {
-      "type": "boolean",
-      "description": "True when the answer mainly clarifies limits or misconceptions"
-    },
-    "topic_tags": { "type": "array", "items": { "type": "string" } },
-    "locale": { "type": "string" },
-    "license": { "type": "string" },
-    "created_at": { "type": "string" },
-    "updated_at": { "type": "string" }
-  }
-}

+{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "title": "faq-snippets-dataset train split",
+  "type": "object",
+  "required": [
+    "snippet_id",
+    "question",
+    "answer",
+    "intent",
+    "negative_clarification",
+    "topic_tags",
+    "locale",
+    "license",
+    "created_at",
+    "updated_at"
+  ],
+  "properties": {
+    "snippet_id": { "type": "string" },
+    "question": { "type": "string" },
+    "answer": { "type": "string" },
+    "intent": {
+      "type": "string",
+      "enum": ["definitional", "comparative", "negative_clarification", "procurement", "educational"]
+    },
+    "negative_clarification": {
+      "type": "boolean",
+      "description": "True when the answer mainly clarifies limits or misconceptions"
+    },
+    "topic_tags": { "type": "array", "items": { "type": "string" } },
+    "locale": { "type": "string" },
+    "license": { "type": "string" },
+    "created_at": { "type": "string" },
+    "updated_at": { "type": "string" }
+  }
+}