---
# HF Dataset Card metadata
pretty_name: "AMZN SEC Filings – Chunk-level Corpus (10-K, 10-Q, 8-K)"
license: mit
language:
  - en
tags:
  - finance
  - sec-edgar
  - chromadb
  - retrieval
  - embeddings
  - amzn
task_categories:
  - text-retrieval
  - question-answering
size_categories:
  - 100K<n<1M
source_datasets:
  - external:sec-edgar                # original raw source
---
# AMZN SEC Filings – Chunk-level Corpus (10-K, 10-Q, 8-K)

<p align="center">
  <img alt="Amazon logo" width="120" src="https://upload.wikimedia.org/wikipedia/commons/a/a9/Amazon_logo.svg">
</p>

A ready-to-use, **chunk-level** corpus of Amazon's (AMZN) recent SEC filings
(10-K, 10-Q, and 8-K).  
Each paragraph *and* sentence is stored together with rich metadata,
making the dataset ideal for:

* semantic search / RAG pipelines (ChromaDB, FAISS, Weaviate, …)
* question-answering over financial filings
* experimenting with financial-domain embeddings

> Time span : last **5 fiscal years** (rolling window, as of 2025-05-11)  
> Collection : 10-K, 10-Q, 8-K (including MD&A summaries & optional exhibits)  
> Granularity: ~1000-char paragraphs **and** ≤80-token sentences

---

## Contents

1. [Dataset structure](#dataset-structure)  
2. [Download & usage](#quick-start)  
3. [Creation process](#creation-process)  
4. [Intended use](#intended-use)  
5. [Limitations & ethical considerations](#limitations--ethical-considerations)  
6. [Citation](#citation)  
7. [License](#license)  
8. [Contact](#contact)

---

## Dataset structure

The data are stored in Arrow (the native format of 🤗 `datasets`)
so they can be accessed in-memory or streamed on-the-fly.

| Column        | Type | Description                                                            |
|---------------|------|------------------------------------------------------------------------|
| `text`        | str  | Plain-text chunk (paragraph or sentence)                               |
| `metadata`    | dict | All fields defined in `FilingMetadata` (ticker, cik, filing_type, …)   |
| `id`          | str  | SHA-1 hash → unique, deterministic identifier                          |
| `chunk_type`* | str  | Paragraph / sentence / summary / exhibit / press_release               |

*`chunk_type` is embedded inside `metadata`.

Total size: **≈ 200-400 k chunks** (depends on new filings).

### Example metadata object

```json
{
  "ticker": "AMZN",
  "cik": "0001018724",
  "company_name": "AMAZON.COM, INC.",
  "filing_type": "10-K",
  "filing_date": "2025-02-02",
  "filing_period": "2024-12-31",
  "filing_url": "https://www.sec.gov/Archives/...",
  "section_id": "item7",
  "section_title": "Management’s Discussion and Analysis",
  "section_level": 1,
  "chunk_index": 3,
  "chunk_count": 42,
  "chunk_type": "paragraph"
}
```