Research objective

Build the most transparent, archaeologically grounded and reproducible Indus-sign corpus possible, then identify structural predictions that every interpretation must explain.

The laboratory does not begin by assuming Tamil, Proto-Dravidian, Indo-Aryan, Munda or any other language. Each proposal receives the same data, disclosure rules and held-out tests.

Why start with infrastructure?

Indus inscriptions are normally very short, sign inventories differ, the underlying language is unknown and no secure bilingual inscription has been found. A proposed reading can therefore look persuasive through flexible sign matching, selective examples or unrecorded editorial choices. The laboratory makes those choices visible and reversible.

Module 1

Corpus register

One record per physical object, with images, excavation context, object type, chronology, reading direction and uncertainty.

Module 2

Sign crosswalk

Mappings among Mahadevan, Parpola, CISI/ICIT and future sign lists without silently merging variants.

Module 3

Hypothesis registry

Pre-declared sign values, language assumptions, expected patterns, failure conditions and revision history.

Module 4

Test bench

Grouped holdouts, baselines, uncertainty intervals, ablations and blind predictions on unseen inscriptions.

Minimum corpus record

FieldPurposeRule
object_idStable identity of the physical artefactNever assign one ID to multiple impressions.
source_catalogue_idLinks to CISI, Mahadevan or excavation publicationPreserve every original identifier.
site / contextSite, mound, trench, locus and layerUse “unknown” rather than infer provenance.
chronologyArchaeological phase and date rangeKeep contextual and stylistic dates separate.
object_type / materialSeal, sealing, tablet, pottery, copper, ivory, etc.Record controlled terms and original description.
image / rightsReference image and reuse statusDo not republish an image without documented permission.
reading_directionObserved or inferred sequence directionStore confidence and justification.
sign_sequenceTranscription under a named sign listMark damage, gaps, ligatures and uncertain segmentation.
motif / associated marksAnimal, narrative motif, numerals and non-text marksDo not silently treat imagery as text.
bibliography / notesAudit trailCite page, figure and retrieval date.

Release 0.2: open seed corpus

This release converts the openly licensed, work-in-progress digitisation by Michael Carlson into two audit-friendly tables. It contains 179 inscribed sides from Mohenjo-daro, 1,003 encoded sign tokens, 182 primary sign IDs in the seed, and a 396-row sign crosswalk. The source snapshot is fixed at commit ad2f1e218a34b8c33c57de0d6cb8d99272765bbb.

Use with caution

This is a secondary digital transcription and has not yet been checked object by object against every CISI plate. No seal images are redistributed. Crosswalk entries reproduce the source author’s mappings; they are candidates for review, not equivalence judgements by IndusValley.org. Verify a record against the published corpus before using it to argue for a reading.

Digital dataset: Michael Carlson, Corpus of Indus Seals and Inscriptions digitization, MIT licence. The underlying CISI publications and images retain their separate rights.

Release 0.3: CISI plate audit, Batch 1

The first object-level coverage audit checks M-1 through M-25 against the published Mohenjo-daro plates in Corpus of Indus Seals and Inscriptions I. All 25 catalogue identifiers were located on printed plate pages 1–15. The frozen open repository contains records for 23 of them; M-2 and M-11 are absent from that snapshot.

What this audit establishes

It establishes catalogue presence, plate location and digital-record coverage. It does not yet certify every P-code sign identification. Every M-1–M-25 row therefore keeps sign-by-sign validation marked pending independent verification. Missing JSON records are reported as gaps in this repository snapshot, not as missing artefacts.

Plate source: Corpus of Indus Seals and Inscriptions I: Collections in India, Mohenjo-daro plates 1–15. Digital comparison: Michael Carlson’s open digitisation, frozen at commit ad2f1e218a34b8c33c57de0d6cb8d99272765bbb.

Release 0.3: sign verification, Batch 2

This pass compares the ordered P-code sequence for every available repository record from M-1 through M-25 with the corresponding CISI impression and the repository’s sign-form descriptions. Results: 20 verified, 3 provisional because of damage or segmentation (M-19, M-22 and M-25), 1 unresolved (M-11), and 1 without a visible inscription in the published fragment (M-2).

Correction to Batch 1

Batch 1 described M-2 and M-11 as repository omissions. The closer plate review refines that statement. M-2’s surviving published fragment shows the animal and standard but no visible inscription, so no transcription should be invented. M-11 preserves only a damaged sign remnant; it remains unresolved until better evidence or an authoritative tracing supports an encoding.

Scope: verification here means that the ordered repository signs agree with the visible plate morphology at the level of the repository’s own P-code descriptions. It does not assign sound or meaning, and it is not yet a second-person independent review.

Analysis sequence

  1. Freeze a corpus version. Publish exclusions, uncertain readings and duplicate handling.
  2. Measure structure without meanings. Test directionality, sign position, repetitions, co-occurrence, sequence length and differences by object, site and period.
  3. Build comparison baselines. Include linguistic scripts, administrative codes, emblem systems and synthetic controls calibrated to similar text lengths.
  4. Reserve grouped test sets. Hold out entire sites, object families or excavation groups so near-duplicate inscriptions cannot leak into evaluation.
  5. Register language hypotheses. Declare historical reconstructions, rebus rules, sign values and permissible transformations before examining test results.
  6. Score predictions. Reward exact, pre-declared predictions and penalise unbounded homophony, sign-value changes and post-hoc exceptions.
  7. Replicate independently. A second researcher should reproduce the result from the frozen data and instructions.

What counts as progress?

Corpus

More objects with verified provenance, clearer readings and documented image rights.

Structure

Patterns that remain stable across sign lists, sites, object types and resampling.

Prediction

Pre-registered readings that succeed on genuinely unseen material.

Falsification

Explicit results showing which attractive proposals do not survive testing.

Foundation hypothesis registry

FamilyExamples of claims to testRequired controls
Linguistic writingSequences encode names, titles, words, morphemes or syllables.Known short-text writing systems and non-linguistic matched baselines.
Administrative notationSigns encode commodities, quantities, institutions or transactions.Object-type, context, numeral and motif associations.
Emblematic identifiersSequences identify persons, groups, offices or lineages.Repetition across sealings, findspots and ownership contexts.
Mixed systemSome signs are linguistic while others are numerical or emblematic.Component-specific predictions and ablation tests.
Proto-DravidianProposed readings follow reconstructed forms and regular morphology.Comparison across Dravidian branches and chronologically plausible reconstructions.
Other language familiesIndo-Aryan, Munda or unknown-language proposals.Identical scoring rules, historical chronology and held-out prediction.

Evidence standards

  • A similar-looking sign is not automatically the same sign.
  • A plausible word is not a decipherment unless the mapping predicts other texts.
  • Genetic ancestry cannot directly identify language.
  • Modern vocabulary must not be projected four millennia backward without historical reconstruction.
  • Statistical regularity can establish constraints, but cannot by itself supply sound or meaning.
  • Negative results and changed hypotheses remain in the public revision history.

Starting sources

Current assessment

Established: the sign sequences exhibit non-random positional and co-occurrence constraints. Open: whether all signs form a linguistic writing system, what language or languages were involved, and how signs mapped to sound or meaning. Not established: any complete decipherment.