Sentence-pair classification

Label how two texts relate — entailment, paraphrase, duplicate question. Each sample is one .txt file holding two sentences separated by a single tab, plus one CSV row with the class label.

Folder layout

/data/shared/mnli-pairs/
├── labels.csv
└── texts/
    ├── pair1.txt
    ├── pair2.txt
    └── ...

Each file is exactly one line of the form text_a<TAB>text_b, for example:

A man is playing a guitar.	A person is making music.

The folder must be named texts and sit next to the labels CSV.
Exactly two non-empty fields separated by one tab, on one line. Plain prose without a tab, an empty side, or several pairs in one file are rejected. The CLI checks this before it ingests anything, and the ingestor checks it again.
UTF-8 encoded. Every file must end in .txt. The ingestor also accepts .text, but training opens only <filename>.txt, so a .text dataset ingests and then fails to train.

Labels CSV

filename,label
pair1,entailment
pair2,contradiction
pair3,neutral

Column	Required	Meaning
`filename`	yes, exactly this name	The text file, with or without extension.
`label`	yes	The class of the pair. Any column name works — set it with `label:`. At least two distinct classes are required.
`extension`	no	Present in the shipped sample; not read by the ingestor.

Do not declare the label column or a reserved column name (such as filename or extension) in schema.

Ingest with the CLI

Each split is one folder laid out as above. Ingest the training and the test split separately:

tracebloc data ingest ./mnli-pairs-train --task sentence_pair_classification --name mnli_pairs_train --intent train --label-column label
tracebloc data ingest ./mnli-pairs-test  --task sentence_pair_classification --name mnli_pairs_test  --intent test  --label-column label

--label-column is required for this task. Set it to the name of the label column in labels.csv. On a terminal, the CLI asks for it if you leave it out. In a script (--no-input, --output-json or no terminal), leaving it out sends an empty label, and the spec fails validation before anything is ingested.

ingest.yaml

apiVersion: tracebloc.io/v1
kind: IngestConfig
category: sentence_pair_classification
table: mnli_sentence_pairs_train
intent: train
csv: /data/shared/mnli-pairs/labels.csv
texts: /data/shared/mnli-pairs/texts/
label: label

Field	Required	Meaning
`csv`	yes	Path to the labels CSV.
`texts`	yes	The `texts/` folder.
`label`	yes	Name of the class column.
`schema`	no	Extra typed columns only.
`spec.file_options.extension`	no	Leave it unset. The default `.txt` is the only extension training reads.
`language`, `normalization`	no	Dataset language and applied normalization.

What the ingestor checks

Check	Rejects
File type	Files under `texts/` with a different extension than configured, or mixed extensions.
Text content	NUL bytes or invalid UTF-8; empty files produce a warning.
Sentence pair	A referenced file that is missing, spans several lines, has a field count other than 2, or has an empty field.
Label column	A CSV whose header has no column matching `label:`.
Data types	With a `schema`: values that do not match their declared type.
Label diversity	Fewer than two distinct label values.

Plus the checks every ingest runs.

Sample dataset

The template ships five sentence pairs labelled entailment, contradiction and neutral. The manifest ships as labels_file_sample.csv: rename it to labels.csv before you ingest the folder, because the CLI reads only that name. For the Helm chart, stage the renamed folder so that it matches the paths in the ingest.yaml above.

Score formulas

When you define a use case on this data, the platform currently accepts Accuracy only.

Next steps

Ingest the data: Prepare Data
Shared rules for every template: Dataset templates

Overview

Create a Use Case

Join a Use Case

Environment Setup

Tools & Help

Releases

Sentence-pair classification

Folder layout

Labels CSV

Ingest with the CLI

ingest.yaml

What the ingestor checks

Sample dataset

Score formulas

Next steps

​Folder layout

​Labels CSV

​Ingest with the CLI

​ingest.yaml

​What the ingestor checks

​Sample dataset

​Score formulas

​Next steps

Folder layout

Labels CSV

Ingest with the CLI

ingest.yaml

What the ingestor checks

Sample dataset

Score formulas

Next steps