# Data collection: CodeMixCheck v2.2.1

This document describes how each batch in the v2.2.1 CSV was produced, based on the metadata stored in the CSV (`batch`, `provenance`, `source_detail`, `register`, `noise_level`, `post_format`, `tone`). Where the CSV does not record something, this document says so. Nothing has been filled in by assumption.

## Batches

Counts below are taken from the **full v2.2.1 CSV (7,602 rows)**, including the 348 records not included in this release.

| batch | rows | tasks | provenance | register | id range |
|---|---|---|---|---|---|
| `tang_pdf_facts` | 50 | fact_verification 50 | human_curated_llm_assisted | social_post | CMC-00001–CMC-00050 |
| `v1_1_claim_batch` | 294 | fact_verification 294 | human_curated_llm_assisted | social_post | CMC-00051–CMC-00344 |
| `set1` | 147 | fact_verification 147 | template_generated | social_post | CMC-00345–CMC-00491 |
| `set10_expansion` | 2414 | fact_verification 2323, sentiment 47, abuse_detection 44 | template_generated | conversational, social_post | CMC-00492–CMC-08041 |
| `set11_general_knowledge` | 200 | fact_verification 200 | template_generated | social_post | CMC-02819–CMC-03018 |
| `set2` | 240 | fact_verification 240 | template_generated | social_post | CMC-03019–CMC-03258 |
| `set3` | 238 | fact_verification 238 | template_generated | social_post | CMC-03259–CMC-03498 |
| `set4` | 199 | fact_verification 199 | template_generated | social_post | CMC-03499–CMC-03698 |
| `set7_conversational` | 391 | fact_verification 391 | template_generated | conversational | CMC-03699–CMC-04092 |
| `set9_expansion` | 3046 | fact_verification 2922, sentiment 85, abuse_detection 39 | template_generated | conversational, social_post | CMC-04093–CMC-08384 |
| `clean_paste_social` | 72 | sentiment 72 | human_collected | conversational | CMC-07025–CMC-07096 |
| `natural_collected` | 37 | sentiment 37 | human_collected | conversational | CMC-07097–CMC-07133 |
| `natural_collected_b2` | 107 | sentiment 107 | human_collected | conversational | CMC-07134–CMC-07240 |
| `natural_upload` | 125 | sentiment 125 | human_collected | conversational | CMC-07241–CMC-07365 |
| `set8_abuse` | 42 | abuse_detection 42 | template_generated | conversational | CMC-08042–CMC-08186 |

The id ranges overlap because IDs were assigned per batch across versions. 782 IDs between CMC-00001 and CMC-08384 are not used (they were retired in earlier versions).

## Template-generated records (public)

The design visible in the metadata is as follows:
- **Propositions** (`proposition`): a claim core about a domain (11 domains: Civic/Local, Cricket, Economy, Education, Entertainment, Environment, Festivals/Culture, General Knowledge, Health, Policy/Governance, Technology). Entities are a mix of real Tamil Nadu districts and festivals, generic categories ("a local engineering college"), and **fictional** organisations, apps, films and sports teams. Some are marked "(fictional league)" in the text itself.
- **Framing** (`frame_family`): forwarded message, official attribution, personal hearsay, general report. Unparsed frames are tagged `unparsed`.
- **Surface form**: `post_format` (27 formats, for example `caption_hashtag`, `group_chat`, `reply_skeptical`, `meme_reaction`), `tone`, hashtags, emoji, `@` placeholders, and multi-line posts.
- **Noise** (`noise_level`, set4 / set9 / set10 only): none, light, medium or heavy typing noise, such as vowel drops ("cnfirm", "sllunga"), casing changes and punctuation runs.
- **Labels** come from the generator, together with a templated `evidence_explanation`.
- `set11_general_knowledge` contains statements of general knowledge, explained against "established general knowledge".
- The sentiment and abuse rows in `set9_expansion` / `set10_expansion` / `set8_abuse` are short conversational comments with emoji and typo variants. Seven of them closely resemble human-collected comments and are not released (audit G06).

The dataset author wrote the templates and entity pools himself, using Claude and ChatGPT as writing helpers. The generation scripts, entity-pool versions and batch dates are not part of this release.

## Curated records (`test_curated`, released)

- `tang_pdf_facts` (50): science and health facts (antibiotics, vaccines, Earth/Moon/Sun, boiling point), written as Tanglish statements. The batch name suggests a reference PDF as the source. **The PDF is not identified in the CSV.**
- `v1_1_claim_batch` (294): 144 health/lifestyle claims and 150 hearsay/rumour claims. `source_detail = news_sourced_and_llm_assisted`. **No article references are stored.**
- The dataset author selected these claims himself and rephrased them in his own Tanglish wording where needed. The texts are short generic claims, not article sentences (see `data_provenance.md`).

## Human-collected records (not released)

- 341 comments in four batches. The dataset author states that they were collected manually from **public Instagram posts**.
- The CSV stores **no** post URLs, account names, capture dates, or record of consent or permission.
- It is not recorded whether each comment was copied verbatim or re-typed/paraphrased. The batch name `clean_paste_social` suggests verbatim copies. These comments are not part of the release.
- 15 comments end in `?`/`??` runs that may be emoji lost in an encoding step.