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tiennm99
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Four of the 119 files in data/2016 publish one score column per subject instead of a DIEM_THI sentence, and none of them was being read correctly. The ĐH Công nghiệp Thực phẩm file puts a three-row ministry title block above its header, so no header was recognised and the positional fallback shifted every column by one: the serial number became so_bao_danh, the exam number became ho_ten, the name became ngay_sinh, and the national ID became the score cell. All 7,833 rows were unusable. The three ĐH Cần Thơ files name an SBD column but no DIEM_THI, so they fell to the same fallback: surname into ngay_sinh, given name into ten_cum_thi, birth date into the score cell, and 12,152 candidates with no scores at all. Both are now read by FormatSubjectColumns, which resolves identity and one column per subject from the header. The header is searched for in the first five rows, so a title block no longer hides it. The Cần Thơ score columns are numbered rather than named. They follow the order the exam was sat — each morning an essay paper, each afternoon a multiple-choice one — which is what identifies them: columns 1/3/5/7 quantise to 0.25 and 2/4/6/8 do not, and each column's mean lands within 0.5 of the same subject's mean across the rest of the dataset. The foreign language is filed under the subject its N1..N6 code names. Gender now accepts the 0/1 encoding those files use: of the rows marked 1, 53% carry "Thị" in the name against 1% of those marked 0. Birth dates in the compact ddmmyy form are expanded so the column holds one format. A score of 0 is stored rather than dropped, recovering 302 real scores that a JavaScript falsy check had been turning into NULL. Row count falls by one, to 877,460: the removed row is the title line "ĐƠN VỊ: / TRƯỜNG ĐẠI HỌC CÔNG NGHIỆP THỰC PHẨM TP. HỒ CHÍ MINH", which had been stored as a student. The dataset has no duplicate exam numbers; the three rows previously described as collapsing were that same file's title and header lines being counted and then rejected. Also drops behaviour that existed only to match the parser this one replaced: the inert "SINH " header token, the untrimmed diem_thi cell, an unreachable blank-row branch, and a cross-check test against a database that can no longer exist. None of them changes output. Verified by rebuilding both datasets: 877,460 and 861,068 rows, both artifacts through the assembler's row and size guards, and the reader fidelity suite unchanged across all 182 files.
34 lines
1.3 KiB
YAML
34 lines
1.3 KiB
YAML
# thptqg2016 data/ — 4 .xls + 115 .xlsx mixed files.
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#
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# Four column layouts exist across the 119 files; the binary selects the
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# right one per-sheet at runtime via format_detection: thptqg2016:
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#
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# separate-scores header SBD(0)/HOTEN(1)/TOAN(2)... — dhhanghai files
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# mapped header SOBAODANH|SBD + DIEM_THI — most provinces
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# subject-columns header names >=3 subject columns — dhcantho, dhcnthucpham
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# default no header; positional 6-col layout — remaining files
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#
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# This is the only dataset that populates ten_cum_thi and gioi_tinh, and the
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# only one whose files carry Tiếng Đức / Tiếng Nhật scores.
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#
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# sheet_mode = "all": several provinces overflow into Sheet2 (65k Excel row cap).
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# strip_blank_rows = false: no blank-row anomaly observed in this dataset.
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#
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# Table shape, INSERT and subject regexes are canonical — see parser/internal/schema/schema.go.
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format_detection: thptqg2016
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reader:
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sheet_mode: all
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strip_blank_rows: false
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validation:
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require_numeric_sbd: false
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require_nonempty_name: true
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require_nonempty_sbd: true
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header:
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# Tokens that identify a header row by first-cell content (uppercased).
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# Covers both SOBAODANH-style and SBD-style headers.
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tokens: ["SOBAODANH", "SBD", "HO_TEN", "HOTEN", "HỌ TÊN", "STT"]
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