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Dataset research report

Snli research report

A reproducible data report with schema notes, generated chart evidence, suggested follow-up questions, and export-ready Helix queries.

storageHf descriptionsnli.parquet view_list500 rows

Executive Summary

Dataset Card for SNLI Dataset Summary The SNLI corpus (version 1.0) is a collection of 570k human-written English sentence pairs manually labeled for balanced classification with the labels entailment, contradiction, and neutral, supporting the task of natural language inference (NLI), also known as recognizing textual entailment (RTE). Supported Tasks and Leaderboards Natural Language Inference (NLI), also known as Recognizing Textual Entailment (RTE), is the… See the full description on the dataset page: https://huggingface.co/datasets/stanfordnlp/snli.

Finding 1The dataset has 500 rows available in the catalog.
Finding 2The catalog exposes 3 documented or inferred columns.
Finding 3Helix has 4 ready query prompts for this dataset.
Finding 4This report includes 1 generated chart views.

Research Context

Snli: 500 rows by 3 columns. These exploratory charts are generated automatically from the data - open the dataset in Helix to ask your own questions.

Data Profile

Rows500
Columns3
Numeric cols1

Chart Evidence

These views are generated from the dataset profile. Each chart is paired with a Helix query so it can be opened, adjusted, and exported.

Follow-Up Queries

Preview Rows

# premisetext hypothesistext labelinteger
1 A person on a horse jumps over a broken down airplane.A person is training his horse for a competition.1
2 A person on a horse jumps over a broken down airplane.A person is at a diner, ordering an omelette.2
3 A person on a horse jumps over a broken down airplane.A person is outdoors, on a horse.0
4 Children smiling and waving at cameraThey are smiling at their parents1
5 Children smiling and waving at cameraThere are children present0
6 Children smiling and waving at cameraThe kids are frowning2

Data Dictionary

  • premise text
  • hypothesis text
  • label numeric

Method And Limits

  • Load the catalog entry and preview rows from the processed dataset file.
  • Infer numeric, categorical, time, and location fields from real columns.
  • Generate a small set of defensive Plotly chart specifications from that profile.
  • Expose each chart idea as a query link so the report can be rerun or exported in Helix.

This report is intentionally reproducible. It uses the local catalog metadata and generated chart specifications rather than claiming external conclusions beyond the dataset.

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