imagesCaptionEmporium/pexels-568k-internvl2image-captioningtext-to-imagesynthetic-captionsinternvl2pexelsmultimodalvision-languagefine-tuning

Pexels Synthetic Captions — InternVL2-40B

Free

Open dataset

Sample structure: 96.8 / 100
5 download links issued
Seller: DataBazaar
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Category
Images
Records
567,573 rows
Format
PARQUET
Update Frequency
Not documented
Collection Method
auto_imported_huggingface_federated
PII
No flagged field names; not a privacy audit
File Size
~394.35 MB
Download links issued
5

Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License
cc-by-sa-4.0
Source / creator
CaptionEmporium/pexels-568k-internvl2
Collection method
The creator took the photo-concept-bucket image set (Pexels images with associated tags), passed each image through InternVL2-40B-AWQ for caption generation, and used the original tags as grounding context to reduce hallucination and improve specificity. No manual review of captions is documented at scale.
Coverage start
Not documented
Coverage end
Not documented
Data last updated
Not documented
Update schedule
Not documented

Source documentation ↗

License terms ↗

Captions are synthetic and inherit any biases, hallucinations, or stylistic quirks of InternVL2-40B-AWQ. Primarily English, but occasionally transcribes in-image text in other languages. Pexels content skews toward stock-photo aesthetics (clean compositions, common subjects) and is not representative of general web imagery. The dataset is not deduplicated against common text-to-image evaluation suites. Source does not document per-caption quality scores; buyers should validate empirically before fine-tuning.

Sample structure score: 96.8 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (JSON) on 2026-10-09. All records in the provided sample were checked.

CheckPointsEvidence
Populated cells46.8 / 50187 of 200 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types30 / 30187 of 187 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape20 / 2010 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.
Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

FieldMissing cellsMost common typeOther populated types
id0 / 10number0 / 10
class_label0 / 10string0 / 10
type0 / 10string0 / 10
slug0 / 10string0 / 10
description10 / 10unknown0 / 0
alt0 / 10string0 / 10
created_at0 / 10string0 / 10
title0 / 10string0 / 10
location3 / 10string0 / 7
tags0 / 10string0 / 10
main_color0 / 10object0 / 10
colors0 / 10object0 / 10
width0 / 10number0 / 10
height0 / 10number0 / 10
aspect_ratio0 / 10number0 / 10
url0 / 10string0 / 10
cogvlm_caption0 / 10string0 / 10
megapixels0 / 10number0 / 10
__index_level_0__0 / 10number0 / 10
internvl2_caption0 / 10string0 / 10
How the score is calculated, its limitations, and how to correct an assessment →

About this data

English captions for Pexels photos generated with InternVL2-40B-AWQ and grounded with original tags. Suitable for text-to-image and image-to-text model training.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example
python3 retrieve-dataset.py 1c86af8b-445b-4a7b-8358-d3f9bbeb9ad4 --output dataset.bin
Full supplier documentation
## Overview This dataset contains 567,573 synthetic image captions paired with images from the ptx0/photo-concept-bucket (Pexels) collection. Captions were generated using the OpenGVLab/InternVL2-40B-AWQ vision-language model and grounded using the original Pexels tags. Format is JSON with image references; primary language is English. Released August 2024. ## Schema - `image` — string/reference — link or identifier for the source Pexels image - `caption` — string — synthetic long-form English caption generated by InternVL2-40B-AWQ - `tags` — list[string] — original Pexels tags used to ground the caption - Additional metadata fields inherited from photo-concept-bucket (see source card) ## Sources - HuggingFace: https://huggingface.co/datasets/CaptionEmporium/pexels-568k-internvl2 — license: CC-BY-SA-4.0 - Upstream images: ptx0/photo-concept-bucket (Pexels-sourced) - Captioning model: OpenGVLab/InternVL2-40B-AWQ ## Methodology The creator took the photo-concept-bucket image set (Pexels images with associated tags), passed each image through InternVL2-40B-AWQ for caption generation, and used the original tags as grounding context to reduce hallucination and improve specificity. No manual review of captions is documented at scale. ## Known gaps & limitations Captions are synthetic and inherit any biases, hallucinations, or stylistic quirks of InternVL2-40B-AWQ. Primarily English, but occasionally transcribes in-image text in other languages. Pexels content skews toward stock-photo aesthetics (clean compositions, common subjects) and is not representative of general web imagery. The dataset is not deduplicated against common text-to-image evaluation suites. Source does not document per-caption quality scores; buyers should validate empirically before fine-tuning. ## Intended use & out-of-scope - IS for: training/fine-tuning text-to-image diffusion models, image-to-text captioning models, and multimodal alignment research. - NOT for: factual image description tasks requiring verified accuracy, benchmark training without leakage checks, or use cases requiring non-synthetic ground-truth captions. _Federated dataset: 2 parquet shards, 394.3 MB total. Queries and downloads stream through the DataBazaar API._ Original supplier listing: Pexels 568K Synthetic Captions (InternVL2-40B) 567,573 synthetic English captions for Pexels photos, generated with InternVL2-40B-AWQ and grounded with original tags. JSON format, ideal for text-to-image and image-to-text model training.

Schema

NameTypeDescription
idBIGINT
class_labelVARCHAR
typeVARCHAR
slugVARCHAR
descriptionVARCHAR
altVARCHAR
created_atVARCHAR
titleVARCHAR
locationVARCHAR
tagsVARCHARlist[string] — original Pexels tags used to ground the caption
main_colorBIGINT[]
colorsVARCHAR[]
widthBIGINT
heightBIGINT
aspect_ratioDOUBLE
urlVARCHAR
cogvlm_captionVARCHAR
megapixelsDOUBLE
__index_level_0__BIGINT
internvl2_captionVARCHAR

Sample Data

Preview a sample of the data before downloading.

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For AI Agents

Via MCP Server
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Pexels Synthetic Captions — In" })
// Found: 1c86af8b-445b-4a7b-8358-d3f9bbeb9ad4
get_download_url({ dataset_id: "1c86af8b-445b-4a7b-8358-d3f9bbeb9ad4" })  // free — sign in with MCP OAuth first
Via REST API
# Free dataset — sign in or use your account API key:
curl https://api.databazaar.io/datasets/1c86af8b-445b-4a7b-8358-d3f9bbeb9ad4/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"