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iamzhangship/fluency-ecdict-offline

Fluency ECDICT Offline Pack This repository hosts the versioned ECDICT SQLite packages downloaded by the Fluency app for offline video word lookup and local subtitle focus-word matching. Current release Field Value Data version ecdict-bc015ed2-focus13-v2 Schema 2 Entries 770,611 Focus-word lists 13 ZIP size 54,594,964 bytes SQLite size 131,756,032 bytes ZIP SHA-256 1e745ea698878772226a7df584129409dd4b27cb7ea26b4259bc770e7533352f Source… See the full description on the dataset page: https://huggingface.co/datasets/iamzhangship/fluency-ecdict-offline.

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Fluency ECDICT Offline Pack

This repository hosts the versioned ECDICT SQLite packages downloaded by the Fluency app for offline video word lookup and local subtitle focus-word matching.

Current release

FieldValue
Data versionecdict-bc015ed2-focus13-v2
Schema2
Entries770,611
Focus-word lists13
ZIP size54,594,964 bytes
SQLite size131,756,032 bytes
ZIP SHA-2561e745ea698878772226a7df584129409dd4b27cb7ea26b4259bc770e7533352f
Source commitbc015ed2e24a7abef49fc6dbbb7fe32c1dadaf8b
Source CSV SHA-2561a6947e04785db63613a92e14903cdae7954f7e84860b10e68e5c7cbb3f9c3cf

The v2 package adds structured membership and inflection indexes for 13 product focus-word lists. The manifest records the final member count of every list.

Previous release

ecdict-ecdict-bc015ed2-v1.zip remains available for rollback. Its ZIP SHA-256 is e9ce183d35f244d77119bf3e3a87342f5bb9b9034d903b8754806ce8a65bcc30.

Sources and licenses

Dictionary entries and the eight ECDICT-tag-derived lists are based on skywind3000/ECDICT under the MIT License.

The NGSL, NAWL, BSL, and TOEIC source snapshots used by the derived GMAT and business lists are licensed under CC BY-SA 4.0. Attribution, pinned revisions, normalization notes, and source hashes are recorded in `focus_word_sources/SOURCE.md`. The corresponding derived membership data is distributed under CC BY-SA 4.0.

The application validates the archive SHA-256, embedded SQLite metadata, entry count, and all 13 membership counts before activating a downloaded dictionary.