damo-da/ciaa-annual-reports

CIAA Annual Reports — Nepali transcripts, ruled tables and chart data

Machine-readable transcripts of 13 annual reports of Nepal's Commission for the Investigation of Abuse of Authority (अख्तियार दुरुपयोग अनुसन्धान आयोग, CIAA) — the 23th to 35th reports, fiscal years BS 2069/70 – 2081/82 (AD 2012–2025).

The CIAA publishes these as PDFs whose text layer is, for several years, legacy pre-Unicode Devanagari that ordinary extractors turn into Latin-looking gibberish. This dataset is the repaired, page-anchored text, plus the two things the text layer does not contain: the ruled statistical tables as a cell grid, and the charts — bar/pie/line figures whose numbers exist only as pixels — read off 300-DPI page renders.

Nepal's anti-corruption record is documented almost entirely in these reports. Until now none of it was queryable.

What is in it

	rows	what
documents	13	one row per report, with source URL, SHA-256 of the PDF and transcript, and page/quality rollups
pages	5,661	page-by-page markdown — one row per source page, with per-page provenance
tables	1,105	one row per ruled table, with its introducing sentence and shape
table_cells	568,980	dense cell grid (202,324 non-empty), with numerals parsed across both digit scripts
figures	388	one row per chart, with type, axes, unit and verification note
figure_data	4,926	every chart data point: label, series, value, and whether it was read off the axis
quality	13	per-report quality axes and findings, so the caveats travel with the data

And, as files:

path	files	size
figure_images/	375	277.1 MB
pdf/	13	182.5 MB
ciaa_corpus.sqlite + card	1	115.4 MB
markdown/	13	37.5 MB
pages/	5,661	37.3 MB
data/	7	12.1 MB

pages/<fy>/pNNNN.md is the page-by-page transcript as loose markdown; markdown/ holds the full anchored transcript per report; pdf/ holds the unmodified source PDFs so any value can be checked against the original; figure_images/ holds the 300-DPI renders the chart data was read from. ciaa_corpus.sqlite carries every table above, indexed, plus three views (v_page_citable, v_table_numbers, v_figure_series).

Quick start

from datasets import load_dataset

pages = load_dataset("damo-da/ciaa-annual-reports", "pages", split="train")
print(pages[0]["text"][:400])

# Chart data points, already numeric
figs = load_dataset("damo-da/ciaa-annual-reports", "figure_data", split="train")

Or query the SQLite directly — usually the fastest route for the tables:

import sqlite3, pandas as pd
from huggingface_hub import hf_hub_download

db = hf_hub_download("damo-da/ciaa-annual-reports", "ciaa_corpus.sqlite", repo_type="dataset")
con = sqlite3.connect(db)

# every chart series in one frame
pd.read_sql("SELECT * FROM v_figure_series", con)

# complaint counts from the ruled tables, only where the page citation is exact
pd.read_sql('''
  SELECT doc_id, page_no, intro_text, value_num
  FROM v_table_numbers
  WHERE anchor_fidelity = 'tight' AND intro_text LIKE '%उजुरी%'
''', con)

Quality — measured, not asserted

Every figure below was measured on the bytes in this repository, by the build that produced them. That build refuses to emit a dataset that fails any of its 14 assertion groups — page-row count against each PDF's own page count, contiguous page numbering, dense-grid integrity, referential integrity across tables, post-copy SHA-256 of every artifact, and the BS→AD mapping among them.

Text. 15,568,997 characters, 10,864,438 of them Devanagari. 0 U+FFFD replacement characters. 0 control characters. 47 private-use characters remain, all deliberate: 35 are a Wingdings ornament the converter refuses to guess a mapping for, and 12 are recorded unmapped CIDs.

Page coverage is complete — no page's content is missing.

anchor_fidelity	pages	meaning
tight	5,606	the page's own text is under its own anchor — a citation here is exact
folded	33	text is present but sits under an earlier anchor (see the anchor caveat)
blank	22	the PDF's text layer is genuinely empty — cover, back cover, separator
gap	0	content absent from the dataset

Per-report audit. Transcripts: 12 clean, 1 suspect, 0 garbled on 11 independent axes. The one suspect is 2079/80 on pua_glyphs — which is the deliberate ornament above, i.e. the instrument reporting a known refusal, not damage. Chart data: 7 trustworthy, 6 needs_work.

Charts. 388 charts, 4,926 data points. 208 of 388 charts came through a second independent read unchanged; the other 180 carry a verify_note describing what the second read corrected. 409 of 4,926 values (8.3%) were not printed on the mark and were read off the axis — flagged value_estimated. Chart families: bar 132, pie 122, line 111, stacked_bar 11, venn 5, donut 4, radar 1, other 1, bubble 1.

Tables. 1,105 tables, 63,514 cells parse as numbers.

Known limitations — read these before quoting a number

1. A page anchor is a lower bound, never an upper bound. The converter emits a multi-page ruled table as one block under the anchor of the page where the table started, so text from a later page can sit under an earlier anchor. 5,606 of 5,661 pages are tight and 33 are folded; on this build the displacement reaches at least 5 pages (a lower bound — the instrument finds the nearest non-empty preceding anchor, not necessarily the true host block; the upstream corpus measured 24 pages on an earlier conversion). Filter anchor_fidelity = 'tight' when a page citation must be exact, and verify against the PDF before publishing one.
2. Chart coverage is a sample, not an enumeration. Chart pages were found by a detector (curve density, coloured fills, raster coverage), then read. Every page it proposed was read, so nothing was proposed and skipped — but the audit of record bounds the genuinely missed data charts at between 2 and 25, and it is not zero: चित्र ३.१ in the 33rd and चित्र २.३ in the 32nd are confirmed cited-in-prose but untranscribed.
3. Numerals mix Devanagari and ASCII digits — in the CIAA's own typesetting, not in the extraction. 40,५५,५९,२६2, २०७5, २४,085 are verbatim source. 3,228 table cells are affected. A naive ०→0 conversion will mis-parse up to 4.06% of numerals in the worst report. table_cells.value_num already handles both scripts and is NULL wherever the token is not a clean scalar (a fiscal year like २०७९।८०, a section number like 1.३.); text is always verbatim. Do not "fix" the mixed digits — that would falsify the source.
4. 6 reports' chart data is flagged needs_work (2071/72, 2073/74, 2076/77, 2077/78, 2078/79, 2080/81) for internal inconsistencies the reports themselves contain or that the read may have introduced: stacked-bar totals that do not cross-foot against their parts, pie shares that do not close to 100, and the same series reported differently in two reports' five-year trend charts. quality.figure_findings_json names each one. These are not silently corrected.
5. List markers are frequently separated from their item text. In the two-column layouts the converter's fragment ordering strands a list marker from the text it introduces. Derived from the shipped text: 1,766 line-initial - text items against 535 bare - lines carrying no text at all — 23.3% of the 2,301 line-initial markers are orphans. Markers stranded mid-line are not counted here because they are indistinguishable from an ordinary prose hyphen in the output; diffing against the pre-promotion conversion puts total orphaning at 1,066 of 2,133 promoted markers (50.0%), which is the figure to use for the scale of the defect. It loses no characters, so every character-fidelity axis scores it clean. Prose and tables are unaffected; nested-list structure is not reliable.
6. Table headers are not identified. The source tables use multi-row spanned headers with no markdown separator row, so header_json is empty for all but 26 of 1,105 tables and every row lands in the body. intro_text gives the introducing sentence from the prose where there is one; none of the 1,105 tables carries a formal तालिका N caption.
7. The 36th report (FY 2082/83) is not here because the CIAA has not published it. Reports appear 12–18 months after the fiscal year ends.

Provenance and reproduction

• Source: https://ciaa.gov.np/publications — each report's source_url is in documents. PDFs are byte-identical to what was downloaded; pdf_sha256 pins them.
• Text: likhit at revision 5a17713 — a Nepali PDF→Markdown converter built for legacy pre-Unicode Devanagari font repair. documents.likhit_rev records the revision per report, so any transcript can be traced to the exact converter build that produced it.
• Chart data: two independent vision reads per page with per-value reconciliation, against 300-DPI renders shipped in figure_images/.
• This dataset: assembled directly from the PDFs and transcripts shipped here, with no intermediate hand-editing. MANIFEST.json carries a SHA-256 for all 6,070 files, and documents carries one for every source PDF and transcript, so the whole thing is checkable end to end.

Five reports also have an older transcript produced by a general-purpose converter. Those are deliberately not included: all five score garbled, and a text search in them returns zero hits for words that are plainly present in the report — including, in one case, the passage giving the CIAA's own explanation of its falling bribery conviction rate. Only the repaired transcripts ship here.

Licence and rights

The transcripts, table extractions, chart data and tooling are released under CC BY-NC 4.0.

The source PDFs are government documents — publications of the CIAA, a constitutional body of the Government of Nepal, issued for free public download by the Commission itself. They are republished here unmodified, as public record, so that any extracted value can be checked against its original; documents carries a SHA-256 for each one. Note that five of the 13 reports print a colophon reading सर्वाधिकारः प्रकाशकमा निहित — all rights vested in the publisher — which is recorded here for completeness. If you have a rights concern, open a discussion on this dataset.

Report content names individuals — officials prosecuted, convicted or acquitted. It is reproduced as published by the CIAA, with no additions. Treat it as the primary legal record it is: an entry does not by itself establish guilt, and outcomes recorded in one year's report may have been overturned on appeal later.

Citation

@misc{ciaa_annual_reports,
  title        = {CIAA Annual Reports: Nepali transcripts, ruled tables and chart data},
  year         = {2026},
  howpublished = {Hugging Face dataset},
  url          = {https://huggingface.co/datasets/damo-da/ciaa-annual-reports},
  note         = {Reports 23--35, BS 2069/70--2081/82; source PDFs published by the
                  Commission for the Investigation of Abuse of Authority, Nepal.
                  Text extracted with likhit 5a17713.}
}

Schema

pages

column	type
page_uid	text
doc_id	text
fiscal_year_bs	text
report_ordinal	integer
page_no	integer
text	text
anchor_fidelity	text
coverage_state	text
pdf_text_layer_chars	integer
landscape	integer
n_table_blocks	integer
chars	integer
devanagari_chars	integer
latin_chars	integer
dev_digits	integer
ascii_digits	integer
replacement_chars	integer
control_chars	integer
pua_chars	integer
ocr_source	text
ocr_src_image	text
ocr_date	text
ocr_note	text
ocr_reason	text

tables and table_cells

column	type
table_uid	text
doc_id	text
fiscal_year_bs	text
page_no	integer
table_index_on_page	integer
intro_text	text
intro_source	text
intro_is_formal_caption	integer
in_code_fence	integer
header_json	text
n_rows	integer
n_cols	integer
n_cells	integer
n_nonempty_cells	integer
n_numeric_cells	integer
n_mixed_digit_cells	integer
has_separator_row	integer
anchor_fidelity	text
markdown	text

column	type
table_uid	text
doc_id	text
page_no	integer
row_idx	integer
col_idx	integer
text	text
value_num	real
is_numeric	integer
is_empty	integer
beyond_row_width	integer
mixed_digit_scripts	integer

figures and figure_data

column	type
figure_uid	text
doc_id	text
fiscal_year_bs	text
page_no	integer
figure_index_on_page	integer
figure_label	text
title_ne	text
chart_type	text
chart_family	text
x_axis	text
y_axis	text
unit	text
notes	text
verify_note	text
verified_clean	integer
n_data_points	integer
n_estimated_values	integer
page_image	text

column	type
figure_uid	text
doc_id	text
page_no	integer
point_index	integer
label	text
series	text
value	real
value_estimated	integer

documents and quality

column	type
doc_id	text
report_ordinal	integer
fiscal_year_bs	text
ad_year_start	integer
ad_year_end	integer
title_ne	text
source_url	text
pdf_file	text
pdf_sha256	text
pdf_bytes	integer
pdf_page_count	integer
pdf_producer	text
markdown_file	text
markdown_sha256	text
markdown_bytes	integer
n_pages	integer
pages_anchored	integer
pages_blank	integer
pages_folded	integer
pages_gap	integer
n_tables	integer
n_figures	integer
n_figure_data_points	integer
n_estimated_figure_values	integer
figures_quality_verdict	text
transcript_quality_verdict	text
likhit_rev	text
text_chars	integer
text_devanagari_chars	integer
text_latin_chars	integer
text_dev_digits	integer
text_ascii_digits	integer
text_replacement_chars	integer
text_control_chars	integer
text_pua_chars	integer

column	type
doc_id	text
fiscal_year_bs	text
transcript_verdict	text
transcript_failing_axes	text
transcript_dev_ratio	real
n_axes_checked	integer
axes_json	text
figures_quality_verdict	text
n_figure_findings	integer
figure_findings_json	text

Per-report coverage

Report	FY (BS)	FY (AD)	pages	chars	tables	charts	chart points	transcript	chart data
23th	2069/70	2012/13	542	1,533,977	44	12	180	clean	trustworthy
24th	2070/71	2013/14	865	2,629,258	36	6	76	clean	trustworthy
25th	2071/72	2014/15	359	997,912	35	18	229	clean	needs_work
26th	2072/73	2015/16	363	1,004,896	39	13	135	clean	trustworthy
27th	2073/74	2016/17	346	974,501	42	14	151	clean	needs_work
28th	2074/75	2017/18	255	830,972	41	19	187	clean	trustworthy
29th	2075/76	2018/19	328	1,042,573	60	31	481	clean	trustworthy
30th	2076/77	2019/20	364	1,142,189	72	40	480	clean	needs_work
31th	2077/78	2020/21	296	921,449	86	38	467	clean	needs_work
32th	2078/79	2021/22	461	1,016,217	119	44	580	clean	needs_work
33th	2079/80	2022/23	492	1,131,033	250	49	609	suspect	trustworthy
34th	2080/81	2023/24	544	1,216,495	136	58	771	clean	needs_work
35th	2081/82	2024/25	446	1,127,525	145	46	580	clean	trustworthy