Add files using upload-large-folder tool

AA/manifest.json

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+{
+    "ticker": "AA",
+    "cik": "0001675149",
+    "name": "Alcoa Corp",
+    "sic": "3334",
+    "sicDescription": "Primary Production of  Aluminum",
+    "filings": [
+        {
+            "year": "2021",
+            "file": "10-K_2021.md",
+            "original_html_size_kb": 8695,
+            "markdown_size_kb": 612
+        },
+        {
+            "year": "2017",
+            "file": "10-K_2017.md",
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+            "markdown_size_kb": 801
+        },
+        {
+            "year": "2016",
+            "file": "10-K_2016.md",
+            "original_html_size_kb": 2917,
+            "markdown_size_kb": 808
+        },
+        {
+            "year": "2020",
+            "file": "10-K_2020.md",
+            "original_html_size_kb": 8482,
+            "markdown_size_kb": 578
+        },
+        {
+            "year": "2024",
+            "file": "10-K_2024.md",
+            "original_html_size_kb": 7762,
+            "markdown_size_kb": 620
+        },
+        {
+            "year": "2023",
+            "file": "10-K_2023.md",
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+            "markdown_size_kb": 624
+        },
+        {
+            "year": "2019",
+            "file": "10-K_2019.md",
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+            "markdown_size_kb": 553
+        },
+        {
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+            "file": "10-K_2018.md",
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+            "markdown_size_kb": 769
+        },
+        {
+            "year": "2022",
+            "file": "10-K_2022.md",
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+            "markdown_size_kb": 612
+        }
+    ]
+}

AEHR_filings.tar.gz

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AGO_filings.tar.gz

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ALTG_filings.tar.gz

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ALTO_filings.tar.gz

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ASB_filings.tar.gz

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BC_filings.tar.gz

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BIRD_filings.tar.gz

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BLNE_filings.tar.gz

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CF_filings.tar.gz

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CMTG_filings.tar.gz

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COOT_filings.tar.gz

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DECK_filings.tar.gz

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DHTI_filings.tar.gz

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DLHC_filings.tar.gz

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EYPT_filings.tar.gz

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FLWS_filings.tar.gz

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FOXF_filings.tar.gz

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GCTK_filings.tar.gz

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IPSI_filings.tar.gz

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ISPC_filings.tar.gz

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KITT_filings.tar.gz

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LBTYA_filings.tar.gz

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MD_filings.tar.gz

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MLMC_filings.tar.gz

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ONEW_filings.tar.gz

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PAA_filings.tar.gz

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PACS_filings.tar.gz

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PKOH_filings.tar.gz

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README.md

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+---
+annotations_creators:
+- machine-generated
+language:
+- en
+license: mit
+multilinguality:
+- monolingual
+size_categories:
+- 10M<n<100M
+source_datasets:
+- original
+task_categories:
+- text-generation
+- feature-extraction
+tags:
+- finance
+- sec-edgar
+- 10-k
+- markdown
+- annual-reports
+pretty_name: SEC 10-K Full Markdown Filings (Compressed Archives)
+---
+
+# 📦 SEC 10-K Full Markdown Filings (Compressed Archives)
+
+## Dataset Summary
+
+This dataset contains **12,361 full-length SEC Form 10-K annual reports** converted from EDGAR HTML to clean Markdown format across **1,379 companies** (spanning **2004 to 2025**, core **2014–2025**).
+
+The filings are packaged as **1,379 compressed `.tar.gz` archives** (1 archive per company ticker). Each archive contains the un-chunked annual 10-K Markdown reports and a JSON metadata manifest (`manifest.json`).
+
+---
+
+## 📊 Dataset Statistics
+
+| Metric | Value |
+| :--- | :--- |
+| **Total Companies (Tickers)** | 1,379 companies |
+| **Total 10-K Filings** | 12,361 full-length `.md` documents |
+| **File Format** | Compressed `.tar.gz` archives (1 per ticker) |
+| **Compressed Dataset Size** | **1.18 GB** |
+| **Uncompressed Dataset Size** | **4.75 GB** |
+| **Fiscal Years Covered** | 2004 – 2025 (Core: 2014–2025) |
+| **Primary Language** | English |
+| **Licensing** | MIT |
+
+---
+
+## 📄 Archive Structure
+
+Each `.tar.gz` archive is named `{TICKER}_filings.tar.gz` (e.g. `AAPL_filings.tar.gz`, `NVDA_filings.tar.gz`, `MSFT_filings.tar.gz`) and contains:
+
+```text
+{TICKER}_filings.tar.gz/
+└── {TICKER}/
+    ├── 10-K_2014.md
+    ├── 10-K_2015.md
+    ├── ...
+    ├── 10-K_2024.md
+    └── manifest.json
+```
+
+---
+
+## 💻 Extracting & Using in Python
+
+```python
+import tarfile, os
+from huggingface_hub import hf_hub_download
+
+# Download a specific ticker archive
+file_path = hf_hub_download(
+    repo_id="astr010/sec-10k-markdown-compressed",
+    filename="AAPL_filings.tar.gz",
+    repo_type="dataset"
+)
+
+# Extract and read filings
+with tarfile.open(file_path, "r:gz") as tar:
+    for member in tar.getmembers():
+        if member.name.endswith(".md"):
+            f = tar.extractfile(member)
+            content = f.read().decode("utf-8")
+            print(f"Read {member.name} ({len(content):,} chars)")
+```
+
+---
+
+## 📜 Licensing & Citation
+
+This dataset is released under the [MIT License](https://opensource.org/licenses/MIT).
+
+```bibtex
+@dataset{sec_10k_markdown_compressed_2026,
+  author       = {Tim Condello},
+  title        = {SEC 10-K Full Markdown Filings (Compressed Archives)},
+  year         = {2026},
+  publisher    = {Hugging Face},
+  howpublished = {\url{https://huggingface.co/datasets/astr010/sec-10k-markdown-compressed}}
+}
+```

RXO_filings.tar.gz

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SARO_filings.tar.gz

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SEB_filings.tar.gz

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TREE_filings.tar.gz

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UVV_filings.tar.gz

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WEC_filings.tar.gz

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