Duplicate from mikedd/EDGAR_FILINGS_DATASET

Co-authored-by: Michael <mikedd@users.noreply.huggingface.co>

.gitattributes

@@ -0,0 +1,60 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.avro filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mds filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,144 @@
+---
+license: cc-by-nc-4.0
+language:
+  - en
+size_categories:
+  - 1M<n<10M
+task_categories:
+  - text-generation
+  - question-answering
+  - table-question-answering
+  - text2text-generation
+pretty_name: SFD - SEC Filings Dataset (v1)
+tags:
+  - finance
+  - sec
+  - edgar
+  - financial-disclosure
+  - long-context
+  - regulatory
+  - 10-K
+  - 10-Q
+  - 8-K
+  - tables
+  - multimarkdown
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: data/parsed/*.parquet
+---
+
+# SFD: SEC Filings Dataset (v1)
+
+**SFD-v1** is an open, layout-faithful reconstruction of U.S. Securities and Exchange Commission (SEC) EDGAR filings into token-efficient MultiMarkdown (MMD), targeted at long-context language modeling, financial reasoning, document understanding, and evaluation.
+
+This release covers filings from **January 2022 through June 2025** (~3.4M filings), produced by the SFD parser described in:
+
+> *The SEC Filings Dataset: Reconstructing U.S. Corporate and Financial Disclosures into Layout-Faithful and Token-Efficient Pretraining Data.* Anonymous Authors (NeurIPS 2026 Evaluations & Datasets Track, under review).
+
+The full SFD corpus is estimated at ~500B tokens across ~18.4M filings (1994–present); this release is a public snapshot focused on the most recent four-and-a-half years.
+
+## Key facts
+
+- **Format:** [MultiMarkdown](https://fletcher.github.io/MultiMarkdown-6/) — preserves merged-cell tables (`||` colspan, `^^` rowspan), indentation, and visual hierarchy that standard text extraction destroys.
+- **Source formats handled:** HTML (\~62%), XML (\~18%), plaintext (\~18%), SGML (\~2%), PDF-via-OCR (\~1%) — see paper §3.
+- **Filings:** ~3.4M parsed `.md` documents across 350+ filing types (10-K, 10-Q, 8-K, Form 4, N-PORT, 13F, 485BPOS, ABS-EE, …).
+- **License:** CC-BY-NC-4.0 (parsed). Underlying SEC filings are U.S. Government public domain.
+- **Storage:** Parquet shards with zstd-15 compression, one shard per (year, month).
+
+## Schema
+
+Each row is one parsed filing.
+
+| field | type | description |
+|-------|------|-------------|
+| `accession` | string | SEC accession number (e.g. `0000320193-24-000123`) |
+| `file_stem` | string | Stem of the original submission file |
+| `year` | int16 | Filing year |
+| `month` | int8 | Filing month (1–12) |
+| `parsed_md` | string | MultiMarkdown reconstruction of the filing |
+| `char_count` | int64 | Character count of `parsed_md` |
+| `md5` | string | MD5 of `parsed_md` (UTF-8) |
+| `has_ocr` | bool | True if any portion required Mistral OCR |
+| `source_format` | string | Primary source format (`html`, `xml`, `plaintext`, `sgml`, `pdf`) |
+
+## Loading
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("mikedd/EDGAR_FILINGS_DATASET", split="train", streaming=True)
+for row in ds.take(1):
+    print(row["accession"], row["year"], row["month"], len(row["parsed_md"]))
+```
+
+For a full local materialization (~50 GB on disk):
+
+```python
+ds = load_dataset("mikedd/EDGAR_FILINGS_DATASET", split="train")
+ds = ds.filter(lambda r: r["year"] == 2024)  # or by month, source_format, etc.
+```
+
+To recover the canonical SEC EDGAR URL for any row:
+
+```python
+acc = row["accession"]                              # e.g. "0000320193-24-000123"
+acc_clean = acc.replace("-", "")
+url = f"https://www.sec.gov/Archives/edgar/data/{int(acc.split('-')[0])}/{acc_clean}/"
+```
+
+## Methodology summary
+
+SFD treats filings as 2-D rendered grids rather than DOM trees:
+
+- **HTML:** Reconstructs the *visual* coordinate system; collapses the "Three-Column Hack" (\$ / value / closing-paren split into separate cells); coalesces fragmented multi-row headers using `border-*` and `margin-*` cues; preserves indentation hierarchy by binning CSS units into discrete `&nbsp;` levels.
+- **XML:** Routes 33 specialized schemas (Forms 3/4/5, 13F, N-PORT, N-CEN, etc.) through schema-aware emitters that reconstruct human-readable disclosures from field hierarchies.
+- **Plaintext / SGML:** Wraps fixed-width legacy filings in code fences to preserve column alignment; collapses 3+ blank lines to 2.
+- **PDFs:** Run through Mistral OCR 3 in 10-page batches; HTML table fragments converted to MMD; near-blank pages skipped via pixel-variance filter.
+
+Every row is prepended with `<SEC-HEADER>`-derived metadata (CIK, SIC, filing type, period of report, etc.) so each filing is self-contained.
+
+See paper §3 for full details.
+
+## Companion benchmarks
+
+Two evaluation benchmarks are derived from SFD and reported alongside this dataset:
+
+- **EDGAR-OCR** — 300 hand-selected SEC tables, synthetically perturbed for contamination resistance, scored by adjusted recall over (content × placement × inline formatting).
+- **EDGAR-Forecast** — 50 companies × 5 numeric targets each (250 total) drawn from 2026 10-Q filings, evaluated agentically with prior 5-year filing history visible.
+
+Released separately when scoring is finalized.
+
+## Citation
+
+```bibtex
+@inproceedings{anonymous2026sfd,
+  title={The SEC Filings Dataset: Reconstructing U.S. Corporate and Financial Disclosures into Layout-Faithful and Token-Efficient Pretraining Data},
+  author={Anonymous Authors},
+  booktitle={Advances in Neural Information Processing Systems (NeurIPS), Evaluations \& Datasets Track},
+  year={2026}
+}
+```
+
+## License & terms
+
+- **Parsed corpus (this release):** [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) — non-commercial use only with attribution. Derivative works must keep this notice.
+- **Underlying raw filings:** U.S. Government public domain, available canonically from the SEC EDGAR system at <https://www.sec.gov/edgar>. Redistribution of raw filings under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) attribution-style metadata is permitted.
+- **Mistral OCR outputs** (the small PDF subset, `has_ocr == True`) are subject to the [Mistral AI Terms of Service](https://mistral.ai/terms/) at the time of generation; downstream redistribution within this CC BY-NC 4.0 corpus is permitted.
+
+## Ethics, privacy, limitations
+
+- All filings are public regulatory disclosures with no expectation of privacy.
+- The dataset preserves filer-supplied content verbatim; SFD does **not** correct factual or accounting errors in the source filings.
+- The MMD reconstruction is high-fidelity but not perfect; estimated ~99% structural/semantic accuracy. A small minority of filings (notably highly visual exhibits with low OCR-recoverable content) may have degraded representation.
+- Token counts reflect the Qwen3-1.7B tokenizer; other tokenizers will differ.
+
+## Provenance & versions
+
+- **v1** (this release): 2022-01 → 2025-06, parsed by SFD pipeline rev `sec_parser`.
+- Future releases will extend coverage to 1994–2021 and incrementally to 2025-07+.
+
+## Contact
+
+- Anonymous Authors

croissant.json

@@ -0,0 +1,226 @@
+{
+  "@context": {
+    "@language": "en",
+    "@vocab": "https://schema.org/",
+    "citeAs": "cr:citeAs",
+    "column": "cr:column",
+    "conformsTo": "dct:conformsTo",
+    "cr": "http://mlcommons.org/croissant/",
+    "rai": "http://mlcommons.org/croissant/RAI/",
+    "data": {
+      "@id": "cr:data",
+      "@type": "@json"
+    },
+    "dataType": {
+      "@id": "cr:dataType",
+      "@type": "@vocab"
+    },
+    "dct": "http://purl.org/dc/terms/",
+    "examples": {
+      "@id": "cr:examples",
+      "@type": "@json"
+    },
+    "extract": "cr:extract",
+    "field": "cr:field",
+    "fileProperty": "cr:fileProperty",
+    "fileObject": "cr:fileObject",
+    "fileSet": "cr:fileSet",
+    "format": "cr:format",
+    "includes": "cr:includes",
+    "isLiveDataset": "cr:isLiveDataset",
+    "jsonPath": "cr:jsonPath",
+    "key": "cr:key",
+    "md5": "cr:md5",
+    "parentField": "cr:parentField",
+    "path": "cr:path",
+    "recordSet": "cr:recordSet",
+    "references": "cr:references",
+    "regex": "cr:regex",
+    "repeated": "cr:repeated",
+    "replace": "cr:replace",
+    "sc": "https://schema.org/",
+    "separator": "cr:separator",
+    "source": "cr:source",
+    "subField": "cr:subField",
+    "transform": "cr:transform"
+  },
+  "@type": "sc:Dataset",
+  "name": "SFD",
+  "description": "The SEC Filings Dataset (SFD-v1) is an open, layout-faithful reconstruction of U.S. SEC EDGAR filings into token-efficient MultiMarkdown. This release covers ~3.4M filings filed between January 2022 and June 2025, parsed from heterogeneous HTML, XML, plaintext, SGML, and PDF source formats. Tables are reconstructed using MultiMarkdown span notation (`||` for column spans, `^^` for row spans), preserving merged cells, multi-row headers, and indentation hierarchies that standard text extraction destroys. SFD-v1 supports long-context language modeling, financial reasoning, document understanding, and evaluation. The full SFD corpus is estimated at ~500B tokens across ~18.4M filings (1994-present); this release is a public snapshot of the most recent 4.5 years.",
+  "conformsTo": "http://mlcommons.org/croissant/1.0",
+  "license": "https://creativecommons.org/licenses/by-nc/4.0/",
+  "url": "https://huggingface.co/datasets/mikedd/EDGAR_FILINGS_DATASET",
+  "version": "1.0.0",
+  "datePublished": "2026-05-06",
+  "creator": [
+    {
+      "@type": "Person",
+      "name": "Anonymous Authors",
+      "affiliation": {
+        "@type": "Organization",
+        "name": "Anonymous Organization"
+      }
+    }
+  ],
+  "publisher": {
+    "@type": "Organization",
+    "name": "Anonymous Organization"
+  },
+  "citeAs": "@inproceedings{Anonymous2026sfd, title={The SEC Filings Dataset: Reconstructing U.S. Corporate and Financial Disclosures into Layout-Faithful and Token-Efficient Pretraining Data}, author={Anonymous Authors}, booktitle={Advances in Neural Information Processing Systems (NeurIPS), Evaluations and Datasets Track}, year={2026}}",
+  "keywords": [
+    "finance",
+    "sec",
+    "edgar",
+    "regulatory disclosure",
+    "10-K",
+    "10-Q",
+    "8-K",
+    "long-context",
+    "table understanding",
+    "multimarkdown",
+    "pretraining",
+    "financial reasoning"
+  ],
+  "isLiveDataset": false,
+  "inLanguage": "en",
+  "distribution": [
+    {
+      "@type": "cr:FileObject",
+      "@id": "repo",
+      "name": "repo",
+      "description": "Hugging Face dataset git repository hosting SFD-v1.",
+      "contentUrl": "https://huggingface.co/datasets/mikedd/EDGAR_FILINGS_DATASET",
+      "encodingFormat": "git+https",
+      "sha256": "https://github.com/mlcommons/croissant/issues/80"
+    },
+    {
+      "@type": "cr:FileSet",
+      "@id": "parquet-shards",
+      "name": "parquet-shards",
+      "description": "Per-month Parquet shards of parsed filings (zstd-15 compressed).",
+      "containedIn": {"@id": "repo"},
+      "encodingFormat": "application/vnd.apache.parquet",
+      "includes": "data/parsed/*.parquet"
+    }
+  ],
+  "recordSet": [
+    {
+      "@type": "cr:RecordSet",
+      "@id": "filings",
+      "name": "filings",
+      "description": "One record per parsed SEC filing.",
+      "field": [
+        {
+          "@type": "cr:Field",
+          "@id": "filings/accession",
+          "name": "accession",
+          "description": "SEC accession number (e.g. 0000320193-24-000123).",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {"@id": "parquet-shards"},
+            "extract": {"column": "accession"}
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "filings/file_stem",
+          "name": "file_stem",
+          "description": "Stem of the original submission file.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {"@id": "parquet-shards"},
+            "extract": {"column": "file_stem"}
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "filings/year",
+          "name": "year",
+          "description": "Filing year (UTC).",
+          "dataType": "sc:Integer",
+          "source": {
+            "fileSet": {"@id": "parquet-shards"},
+            "extract": {"column": "year"}
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "filings/month",
+          "name": "month",
+          "description": "Filing month, 1-12.",
+          "dataType": "sc:Integer",
+          "source": {
+            "fileSet": {"@id": "parquet-shards"},
+            "extract": {"column": "month"}
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "filings/parsed_md",
+          "name": "parsed_md",
+          "description": "Layout-faithful MultiMarkdown reconstruction of the filing, with `<SEC-HEADER>`-derived metadata prepended.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {"@id": "parquet-shards"},
+            "extract": {"column": "parsed_md"}
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "filings/char_count",
+          "name": "char_count",
+          "description": "UTF-8 character count of parsed_md.",
+          "dataType": "sc:Integer",
+          "source": {
+            "fileSet": {"@id": "parquet-shards"},
+            "extract": {"column": "char_count"}
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "filings/md5",
+          "name": "md5",
+          "description": "MD5 hash of UTF-8 encoded parsed_md.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {"@id": "parquet-shards"},
+            "extract": {"column": "md5"}
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "filings/has_ocr",
+          "name": "has_ocr",
+          "description": "True if any portion of the filing required Mistral OCR (PDF or image content).",
+          "dataType": "sc:Boolean",
+          "source": {
+            "fileSet": {"@id": "parquet-shards"},
+            "extract": {"column": "has_ocr"}
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "filings/source_format",
+          "name": "source_format",
+          "description": "Primary source format detected for the filing: html, xml, plaintext, sgml, or pdf.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {"@id": "parquet-shards"},
+            "extract": {"column": "source_format"}
+          }
+        }
+      ]
+    }
+  ],
+  "rai:dataCollection": "Filings were retrieved from the public U.S. SEC EDGAR system (https://www.sec.gov/edgar) via canonical archive URLs. Submission types span 350+ form variants. Each submission's primary disclosure document was parsed; auxiliary attachments and exhibits were partitioned via SGML tags and parsed independently when content-bearing.",
+  "rai:dataPreprocessingProtocol": "Format-routed parsing: HTML via 2-D coordinate-system reconstruction; XML via 33 schema-aware emitters; plaintext/SGML preserved via code-fence wrapping; PDFs via Mistral OCR 3 (10-page batches, near-blank-page filtering). Numerical normalization removes commas; non-semantic artifacts (orphan page numbers) are dropped; SEC header metadata (CIK, SIC, form type, period of report) is prepended to each document.",
+  "rai:dataAnnotationProtocol": "No human annotation. Source-format labels and OCR-usage flags are assigned automatically by the parser.",
+  "rai:dataReleaseMaintenancePlan": "Versioned releases via the HuggingFace dataset repository. v1 covers 2022-01 to 2025-06. Future versions will (a) backfill 1994-2021, (b) extend coverage past 2025-06 monthly. Issues should be filed at the HF dataset repo discussions.",
+  "rai:dataUseCases": "Long-context language model pretraining on financial regulatory disclosures; financial reasoning, forecasting, and compliance benchmarks; document layout understanding and table parsing; retrieval-augmented generation over financial filings; XBRL-aligned named-entity and relation extraction.",
+  "rai:dataLimitations": "Parsing fidelity is high (~99% estimated structural/semantic accuracy) but not perfect. A small minority of highly visual exhibits with poor OCR recovery may have degraded representation. Token counts reflect the Qwen3-1.7B tokenizer and will differ for other tokenizers. Coverage is limited to 2022-01 to 2025-06 in this release.",
+  "rai:personalSensitiveInformation": "All filings are public regulatory disclosures filed by issuers and reporting persons under SEC rules; no expectation of privacy applies to their content. Reporting-person personal addresses and identifiers (e.g., insider ownership filings) are present as part of the regulatory record.",
+  "rai:annotationsPerItem": "0 (no human annotation)",
+  "rai:annotatorDemographics": "N/A - automated parsing only.",
+  "rai:dataSocialImpact": "Lowers the barrier to studying U.S. corporate and financial disclosure at scale, supports auditing of LLMs on real-world regulatory text, and provides an open alternative to closed financial corpora.",
+  "rai:dataBiases": "Coverage is U.S.-centric and skewed toward issuers active in U.S. capital markets. Filing-type token distribution is highly non-uniform (the top 5 form types account for ~35% of tokens). Recent years are over-represented relative to the full EDGAR archive in this v1 release."
+}

data/parsed/sfd-v1-2022-01.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:81d39130e2aa8ad368be1a503bbda05fb6ba5a3463421a19b51f162188af227b
+size 746340640

data/parsed/sfd-v1-2022-02.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:76c696f1865ceffb350b2efc64a83b4454b86ddfea48cda188fa2bf4ef350369
+size 1164154187

data/parsed/sfd-v1-2022-03.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ae070f9abf932e5203ba486de1231d7adcc3abf7b0b3d98ace7fd1975db64a55
+size 1219150508

data/parsed/sfd-v1-2022-04.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:050929f8f5ecce38acf80173379032ee8b97450c39650cac6fbdcd0c1b8e1b53
+size 1116949370

data/parsed/sfd-v1-2022-05.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3dff18aaecba8c1d25401fbca289b3f0d947e9f19c428efd0a9a09de0261b060
+size 1185034558

data/parsed/sfd-v1-2022-06.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d60591cb4a268172bc50890aad22da7126caf7e34e0a9c9c5dfba24dcf88fbef
+size 717629985

data/parsed/sfd-v1-2022-07.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:79df51b3b58052e6f92573f61b0982589a8a622ae889db2e9851a306a5e65d78
+size 756881369

data/parsed/sfd-v1-2022-08.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4262588996be28a1a8c2f5ec6a4d41cc953aa510fa67277b96305eae117e9475
+size 1370768033

data/parsed/sfd-v1-2022-09.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fb24ef1c510916571e109b7c52e9053484f95ed0e0232aa8bc6c5840b32aed6f
+size 531425326

data/parsed/sfd-v1-2022-10.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bd750053409b5d264d1d68c860b6ad82887c1c6fa3bbcb5cb64c0762552b7eb6
+size 477798238

data/parsed/sfd-v1-2022-11.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c3a6d99801f3abe2f26427ddb54e8f06cb005520352695b8a4a49fc82ad5cf2b
+size 371181898

data/parsed/sfd-v1-2022-12.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2302e0374d19a1b7dee1c20b97f4f03533c0628b2f13cee84c2cfa8977f2491d
+size 337051982

data/parsed/sfd-v1-2023-01.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:26ce7961e11af8c8478024be64e1d7398893659a167f9c690090db49b1cc0398
+size 3374543

data/parsed/sfd-v1-2023-02.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:654a8df8a0df1932943cc539cff352d4cbd96aadc334b984bddc1bdcfd76e38c
+size 5278283

data/parsed/sfd-v1-2023-03.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:decc395486c698779f884bce6dee5db9b564a68c281a41b1541e335831f618cf
+size 10334019

data/parsed/sfd-v1-2023-04.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:957bf1f8ecae038ba0a47a0f1b0a9691f64bb1387b22ac1c3296046dd99a7599
+size 181914191

data/parsed/sfd-v1-2023-05.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:57501625d64aea3a08fdd1b69d2928390508641a74a789482ba0162fc7bf61ae
+size 155564890

data/parsed/sfd-v1-2023-06.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:24efe6c0191fc78d54b5ab2f3eef77cfc9d97b8fedb773798b40e9ba0c7bd50c
+size 193430569

data/parsed/sfd-v1-2023-07.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d0ed67ebc111226962f72cd10eb1078b6754ea3c6fd528663ed1f8c41c393410
+size 220759450

data/parsed/sfd-v1-2023-08.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:539703c87c002ade7dec2b1f0a187e7c8f393e8e2e50f062588a3c3425acc68a
+size 1006051937

data/parsed/sfd-v1-2023-09.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bc71f1218f940a6a64ad40d39cbecf4a26b7f128112e1e2f35cfa477bb012529
+size 36348363

data/parsed/sfd-v1-2023-10.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c05b10680231ff2afe6fc5e254df807df4a1f39df1e1c16028fbf190fdb1fa03
+size 518487070

data/parsed/sfd-v1-2023-11.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7f9b5d5ef78b5713c259b41d58d4fca99c5e3d8d64bf7f0d66a6de91017585cc
+size 427627470

data/parsed/sfd-v1-2023-12.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:faab4ec616dc142875054775e7ca87835e9d0b9d14405c410ee9c7b316710b42
+size 358684296

data/parsed/sfd-v1-2024-01.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9bc4243516ea34590faaf6936b5fc35f1bd5e1665f0692464b21a101f34409e
+size 303767137

data/parsed/sfd-v1-2024-02.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:03f13bef67309ea4a3de797f124cdf5efe2dcb5a6ec628a9ff54ae90c7c326dc
+size 964551169

data/parsed/sfd-v1-2024-03.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c4324a14a6b87c9ca3bbf59ba6461e6d16ad4cc5a2fa50be16a1966098e31db2
+size 803157899

data/parsed/sfd-v1-2024-04.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:61590971d762338e44af2d60392d3bb548e3225dff519b83b346d89a588052d3
+size 727178306

data/parsed/sfd-v1-2024-05.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3599cb1a44163d9aadd0dca153ebe0ea08b7ec62de6578e42199078df6802a04
+size 563095290

data/parsed/sfd-v1-2024-06.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2c4f1b20766a3224da8d5dbfd644378f40062a9a5438b4721156635c18c38551
+size 558452768

data/parsed/sfd-v1-2024-07.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f951ee81938b549d744323e0770a668ee9b0daaa27b3929eab8e657e0962dc5b
+size 468516926

data/parsed/sfd-v1-2024-08-part01.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f5c3a6339c85cc8fc3cd2b97fb97641d891274c6bb17e07dc6d542f9b5101f4
+size 26736938

data/parsed/sfd-v1-2024-08-part02.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68ba47d4f22b339d288060f5fabdb2548399090cc32c13b00fb43b09b1500eb0
+size 33065166

data/parsed/sfd-v1-2024-08-part03.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:011a335f8b89a8bf95d10d7b69a6aec1f2e59174f66ebadad8cc390d164ab598
+size 56385413

data/parsed/sfd-v1-2024-08-part04.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b305c8f41226d116c616ce678297db1194e7f96d6e68828361ae679dcd498999
+size 36140162

data/parsed/sfd-v1-2024-08-part05.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f0fc5faecf7635cc137f388a32662c91bd08451118def2a0a145b2ecd8486b39
+size 30151148

data/parsed/sfd-v1-2024-08-part06.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ee2099a2ee1788d679a2c336c88b4735dc2a6c16821a2b9f82b06239dec36530
+size 16368409

data/parsed/sfd-v1-2024-09.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eeeb24030272ee5feb93f4bbeaaefedb4f46ed2f11e380ebf149ab220138877f
+size 108621752

data/parsed/sfd-v1-2024-10.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:249b4c025da807d70f9b059576d42190b313aa3cbb14ab05012211804d4410a2
+size 846918154

data/parsed/sfd-v1-2024-11.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a244906992fe9cbe73195544682ac0b546e75dbbc05b831c8fabdeab5e1bd781
+size 1210848122

data/parsed/sfd-v1-2024-12.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68c25ed34e49ac93763d4db22be7bd293d84bfb871c06adb3972d94af4222bb8
+size 757070824

data/parsed/sfd-v1-2025-01.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:793cf2bb4e9b8823804ccb91378ec009d2c642b232fdbcb988db2d831deb24ec
+size 873335854

data/parsed/sfd-v1-2025-02.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5d8d3e709c69d22c2f690a7f9c6daf9fa87fac49ecaba9876a0ff86a02102ed8
+size 1297350559

data/parsed/sfd-v1-2025-03.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3f867cf1ffaa9b0d12da545385a4713ff2e4e57210b6c664e6865c14a4fe839b
+size 1413672152

data/parsed/sfd-v1-2025-04.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2199e1b36da53defe356c73e0e3250a9a399ef51fa563566ca85110720c55a96
+size 1422787798

data/parsed/sfd-v1-2025-05.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:60f67cdd79b602cf50c820005c328250023115f2273c6836dbbe32bccd1d0365
+size 1408854150

data/parsed/sfd-v1-2025-06.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:16e47ee71c3d20e54a41f65c41462e28c646f55fd5d086dc86d77505b032818b
+size 498043763