diff --git a/README.md b/README.md index afaaf41b4ab1b9fc6d5d17623dc3d51f81676fa8..e0f177ee16a45a0a64552c80df69f28a01330ea4 100644 --- a/README.md +++ b/README.md @@ -120,22 +120,6 @@ Report the three comparison numbers: CNN top-1 accuracy, CNN top-5 coverage, and VLM-reranked top-5 accuracy. The Transformer result is kept as an optional attention/extra-credit experiment. -## Imported How2Sign VLM Workspace - -The teammate Qwen2.5-VL fine-tuning workspace is now included directly in this -repo under `vlm_hf_space/`. - -That folder preserves: - -- QLoRA training scripts -- How2Sign/ASL Citizen prep scripts -- experiment configs -- archived baseline vs fine-tuned metrics -- sample prediction outputs from the Hugging Face Space repo - -The original source repo was: -`https://huggingface.co/spaces/ofraij123/ASL-Video-To-Sentence-Translation` - ## Wrapper Scaffold The repo also includes a sentence-wrapper CLI for phase-3 style comparisons @@ -182,7 +166,6 @@ notebooks/ report/ main.tex CVPR-style project report references.bib Bibliography -vlm_hf_space/ Imported Qwen2.5-VL workspace from Hugging Face Space docs/ Architecture notes, phase plans, literature review tests/ Unit tests ``` diff --git a/vlm_hf_space/.gitattributes b/VLM/ASL-Video-To-Sentence-Translation/.gitattributes similarity index 100% rename from vlm_hf_space/.gitattributes rename to VLM/ASL-Video-To-Sentence-Translation/.gitattributes diff --git a/vlm_hf_space/.gitignore b/VLM/ASL-Video-To-Sentence-Translation/.gitignore similarity index 100% rename from vlm_hf_space/.gitignore rename to VLM/ASL-Video-To-Sentence-Translation/.gitignore diff --git a/vlm_hf_space/Dockerfile b/VLM/ASL-Video-To-Sentence-Translation/Dockerfile similarity index 100% rename from vlm_hf_space/Dockerfile rename to VLM/ASL-Video-To-Sentence-Translation/Dockerfile diff --git a/vlm_hf_space/README.md b/VLM/ASL-Video-To-Sentence-Translation/README.md similarity index 100% rename from vlm_hf_space/README.md rename to VLM/ASL-Video-To-Sentence-Translation/README.md diff --git a/vlm_hf_space/configs/asl_citizen_qwen25vl_3b_qlora.yaml b/VLM/ASL-Video-To-Sentence-Translation/configs/asl_citizen_qwen25vl_3b_qlora.yaml similarity index 100% rename from vlm_hf_space/configs/asl_citizen_qwen25vl_3b_qlora.yaml rename to VLM/ASL-Video-To-Sentence-Translation/configs/asl_citizen_qwen25vl_3b_qlora.yaml diff --git a/vlm_hf_space/configs/how2sign_qwen25vl_3b_qlora.yaml b/VLM/ASL-Video-To-Sentence-Translation/configs/how2sign_qwen25vl_3b_qlora.yaml similarity index 100% rename from vlm_hf_space/configs/how2sign_qwen25vl_3b_qlora.yaml rename to VLM/ASL-Video-To-Sentence-Translation/configs/how2sign_qwen25vl_3b_qlora.yaml diff --git a/vlm_hf_space/data/README.md b/VLM/ASL-Video-To-Sentence-Translation/data/README.md similarity index 100% rename from vlm_hf_space/data/README.md rename to VLM/ASL-Video-To-Sentence-Translation/data/README.md diff --git a/vlm_hf_space/data/how2sign_train.jsonl b/VLM/ASL-Video-To-Sentence-Translation/data/how2sign_train.jsonl similarity index 100% rename from vlm_hf_space/data/how2sign_train.jsonl rename to VLM/ASL-Video-To-Sentence-Translation/data/how2sign_train.jsonl diff --git a/vlm_hf_space/data/how2sign_train.missing_videos.txt b/VLM/ASL-Video-To-Sentence-Translation/data/how2sign_train.missing_videos.txt similarity index 100% rename from vlm_hf_space/data/how2sign_train.missing_videos.txt rename to VLM/ASL-Video-To-Sentence-Translation/data/how2sign_train.missing_videos.txt diff --git a/vlm_hf_space/data/how2sign_val.jsonl b/VLM/ASL-Video-To-Sentence-Translation/data/how2sign_val.jsonl similarity index 100% rename from vlm_hf_space/data/how2sign_val.jsonl rename to VLM/ASL-Video-To-Sentence-Translation/data/how2sign_val.jsonl diff --git a/vlm_hf_space/data/how2sign_val.missing_videos.txt b/VLM/ASL-Video-To-Sentence-Translation/data/how2sign_val.missing_videos.txt similarity index 100% rename from vlm_hf_space/data/how2sign_val.missing_videos.txt rename to VLM/ASL-Video-To-Sentence-Translation/data/how2sign_val.missing_videos.txt diff --git a/vlm_hf_space/requirements.txt b/VLM/ASL-Video-To-Sentence-Translation/requirements.txt similarity index 100% rename from vlm_hf_space/requirements.txt rename to VLM/ASL-Video-To-Sentence-Translation/requirements.txt diff --git a/vlm_hf_space/scripts/archive_how2sign_experiment.sh b/VLM/ASL-Video-To-Sentence-Translation/scripts/archive_how2sign_experiment.sh similarity index 100% rename from vlm_hf_space/scripts/archive_how2sign_experiment.sh rename to VLM/ASL-Video-To-Sentence-Translation/scripts/archive_how2sign_experiment.sh diff --git a/vlm_hf_space/scripts/compare_results.py b/VLM/ASL-Video-To-Sentence-Translation/scripts/compare_results.py similarity index 100% rename from vlm_hf_space/scripts/compare_results.py rename to VLM/ASL-Video-To-Sentence-Translation/scripts/compare_results.py diff --git a/vlm_hf_space/scripts/evaluate_asl_citizen.py b/VLM/ASL-Video-To-Sentence-Translation/scripts/evaluate_asl_citizen.py similarity index 100% rename from vlm_hf_space/scripts/evaluate_asl_citizen.py rename to VLM/ASL-Video-To-Sentence-Translation/scripts/evaluate_asl_citizen.py diff --git a/vlm_hf_space/scripts/evaluate_how2sign.py b/VLM/ASL-Video-To-Sentence-Translation/scripts/evaluate_how2sign.py similarity index 100% rename from vlm_hf_space/scripts/evaluate_how2sign.py rename to VLM/ASL-Video-To-Sentence-Translation/scripts/evaluate_how2sign.py diff --git a/vlm_hf_space/scripts/make_video_audit.sh b/VLM/ASL-Video-To-Sentence-Translation/scripts/make_video_audit.sh similarity index 100% rename from vlm_hf_space/scripts/make_video_audit.sh rename to VLM/ASL-Video-To-Sentence-Translation/scripts/make_video_audit.sh diff --git a/vlm_hf_space/scripts/prepare_asl_citizen.py b/VLM/ASL-Video-To-Sentence-Translation/scripts/prepare_asl_citizen.py similarity index 100% rename from vlm_hf_space/scripts/prepare_asl_citizen.py rename to VLM/ASL-Video-To-Sentence-Translation/scripts/prepare_asl_citizen.py diff --git a/vlm_hf_space/scripts/prepare_how2sign.py b/VLM/ASL-Video-To-Sentence-Translation/scripts/prepare_how2sign.py similarity index 100% rename from vlm_hf_space/scripts/prepare_how2sign.py rename to VLM/ASL-Video-To-Sentence-Translation/scripts/prepare_how2sign.py diff --git a/vlm_hf_space/scripts/run_baseline.py b/VLM/ASL-Video-To-Sentence-Translation/scripts/run_baseline.py similarity index 100% rename from vlm_hf_space/scripts/run_baseline.py rename to VLM/ASL-Video-To-Sentence-Translation/scripts/run_baseline.py diff --git a/vlm_hf_space/scripts/test_single_video_inference.py b/VLM/ASL-Video-To-Sentence-Translation/scripts/test_single_video_inference.py similarity index 100% rename from vlm_hf_space/scripts/test_single_video_inference.py rename to VLM/ASL-Video-To-Sentence-Translation/scripts/test_single_video_inference.py diff --git a/vlm_hf_space/scripts/train_qlora.py b/VLM/ASL-Video-To-Sentence-Translation/scripts/train_qlora.py similarity index 100% rename from vlm_hf_space/scripts/train_qlora.py rename to VLM/ASL-Video-To-Sentence-Translation/scripts/train_qlora.py diff --git a/vlm_hf_space/src/__init__.py b/VLM/ASL-Video-To-Sentence-Translation/src/__init__.py similarity index 100% rename from vlm_hf_space/src/__init__.py rename to VLM/ASL-Video-To-Sentence-Translation/src/__init__.py diff --git a/vlm_hf_space/src/datasets.py b/VLM/ASL-Video-To-Sentence-Translation/src/datasets.py similarity index 100% rename from vlm_hf_space/src/datasets.py rename to VLM/ASL-Video-To-Sentence-Translation/src/datasets.py diff --git a/vlm_hf_space/src/io_utils.py b/VLM/ASL-Video-To-Sentence-Translation/src/io_utils.py similarity index 100% rename from vlm_hf_space/src/io_utils.py rename to VLM/ASL-Video-To-Sentence-Translation/src/io_utils.py diff --git a/vlm_hf_space/src/label_utils.py b/VLM/ASL-Video-To-Sentence-Translation/src/label_utils.py similarity index 100% rename from vlm_hf_space/src/label_utils.py rename to VLM/ASL-Video-To-Sentence-Translation/src/label_utils.py diff --git a/vlm_hf_space/src/metrics.py b/VLM/ASL-Video-To-Sentence-Translation/src/metrics.py similarity index 100% rename from vlm_hf_space/src/metrics.py rename to VLM/ASL-Video-To-Sentence-Translation/src/metrics.py diff --git a/vlm_hf_space/src/qwen_video_utils.py b/VLM/ASL-Video-To-Sentence-Translation/src/qwen_video_utils.py similarity index 100% rename from vlm_hf_space/src/qwen_video_utils.py rename to VLM/ASL-Video-To-Sentence-Translation/src/qwen_video_utils.py diff --git a/vlm_hf_space/src/train_utils.py b/VLM/ASL-Video-To-Sentence-Translation/src/train_utils.py similarity index 100% rename from vlm_hf_space/src/train_utils.py rename to VLM/ASL-Video-To-Sentence-Translation/src/train_utils.py diff --git a/presentation/visuals/README.md b/presentation/visuals/README.md index 215a60bb40897a90dd6726a79442064481416c17..094e347ac13167ef2d9fb7c3e3e30834bc789836 100644 --- a/presentation/visuals/README.md +++ b/presentation/visuals/README.md @@ -9,9 +9,9 @@ Generated slide-ready visuals for BridgeLink ASL. - `cnn_vs_vlm_comparison.svg`: final comparison numbers for the presentation - `metrics-summary.json`: source values used to render the comparison slide - `how2sign_dataset_constraint.(png|svg)`: explains why the full 31k How2Sign clips cannot be used as sentence classes -- `how2sign_subset_benchmark.(png|svg)`: Top-12, Top-25, and Top-25 normalized benchmark growth and accuracy -- `how2sign_top25_class_distribution.(png|svg)`: class imbalance view for the normalized repeated-sentence subset -- `how2sign_top25_experiment_comparison.(png|svg)`: comparison of the Top-25 baseline, normalized checkpoint, continued training, and balanced-weight experiments +- `how2sign_subset_benchmark.(png|svg)`: Top-12 versus Top-25 benchmark growth and accuracy +- `how2sign_top25_class_distribution.(png|svg)`: class imbalance view for the current Top-25 subset +- `how2sign_top25_experiment_comparison.(png|svg)`: comparison of the Top-25 baseline, continued training, and balanced-weight experiments - `how2sign_plot_metrics.json`: source values used by the matplotlib How2Sign plots ## Current values @@ -29,10 +29,3 @@ Generated slide-ready visuals for BridgeLink ASL. python scripts\generate_presentation_visuals.py python scripts\generate_how2sign_presentation_plots.py ``` - -## Current How2Sign 3D CNN values - -- Top-12 test accuracy: 14.7% -- Top-25 test accuracy: 20.8% -- Top-25 normalized test accuracy: 27.8% -- Top-25 normalized classes: 21 diff --git a/presentation/visuals/how2sign_dataset_constraint.png b/presentation/visuals/how2sign_dataset_constraint.png index 37ab5c9902a4599d3fbd09f61379779067ba501e..33c71ad89906cc58c35921ea8d1606244a1f5923 100644 --- a/presentation/visuals/how2sign_dataset_constraint.png +++ b/presentation/visuals/how2sign_dataset_constraint.png @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:dfd910751ddf5416b15996d922c7dd8436db4a2dec027e409b3b51d1e93e4047 -size 240845 +oid sha256:36888ca19742cdb1c889aabd46be81477366a5dec46a9c412e6ed588a0cd5913 +size 226879 diff --git a/presentation/visuals/how2sign_dataset_constraint.svg 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Compile from this directory with: -% pdflatex main.tex ; bibtex main ; pdflatex main.tex ; pdflatex main.tex +% BridgeLink ASL — CVPR 2024 camera-ready style +% ITCS 4152/5010 Final Project Report, Spring 2026 +% This file drops into the cvpr2024-author_kit (camera-ready version). +% Compile with: pdflatex main.tex ; bibtex main ; pdflatex main.tex ; pdflatex main.tex \documentclass[10pt,twocolumn,letterpaper]{article} -\usepackage[margin=0.72in]{geometry} +\usepackage[review]{cvpr} % change to \usepackage{cvpr} for camera-ready \usepackage{graphicx} \usepackage{amsmath} \usepackage{amssymb} \usepackage{booktabs} \usepackage{url} \usepackage{hyperref} +\usepackage[capitalize]{cleveref} -\hypersetup{ - hidelinks=true -} - -\setlength{\parskip}{0.35em} -\setlength{\parindent}{0pt} +\def\cvprPaperID{****} +\def\confName{CVPR} +\def\confYear{2024} -\title{\vspace{-1.0em}\textbf{BridgeLink ASL: CNN vs VLM for Sign Recognition and Sentence Translation}} +\title{BridgeLink ASL: CNN and Vision-Language Model Comparison\\ for Word-Level American Sign Language Recognition} -\author{ -Dalen Gordon \quad Ervin Gordon III \quad Frank Garcia \quad Omar Fraij\\ -University of North Carolina at Charlotte\\ -ITCS 4152/5010 -- Introduction to Computer Vision, Spring 2026 +\author{% +Dalen Gordon \quad Ervin Gordon III \quad Frank Garcia \quad Omar Fraij \\ +University of North Carolina at Charlotte \\ +ITCS 4152/5010 --- Introduction to Computer Vision, Spring 2026 \\ +{\tt\small \{dgordo34, egordo17, fgarci11, ofraij\}@charlotte.edu} } -\date{} - \begin{document} \maketitle +% ----------------------------------------------------------------------------- \begin{abstract} -BridgeLink ASL is a computer vision system for translating American Sign Language (ASL) video into English text. The project compares convolutional neural network (CNN) approaches against a vision-language model (VLM) approach across both isolated-sign recognition and sentence-level translation. The first branch is a real-time landmark CNN that converts webcam frames into MediaPipe Holistic pose and hand landmarks and classifies isolated WLASL signs from a rolling temporal buffer. The second branch is a sentence-level 3D CNN that consumes RGB How2Sign sentence clips directly, sampling 16 frames per video and learning spatiotemporal features with Conv3D layers. The third branch is a Qwen2.5-VL-3B VLM fine-tuned with QLoRA on How2Sign video-text pairs for open-ended sentence translation. The final deployed system supports live webcam recognition, uploaded word-sign clips, and uploaded sentence clips through a Gradio/Hugging Face interface with confidence-gated captions. On a 36-clip WLASL hybrid evaluation subset, the landmark CNN reaches 25.0\% top-1 accuracy and 58.3\% top-5 coverage, while a zero-shot VLM reranking workflow over the CNN top-5 reaches 25.0\% accuracy. On the repeated-sentence How2Sign subset, the strongest 3D CNN is the label-normalized top-25 model with 21 sentence classes, 335 training clips, 72 validation clips, 72 test clips, and 27.8\% held-out test accuracy. On a separate How2Sign translation experiment using 500 training clips and 100 validation clips, QLoRA fine-tuning improves the VLM from BLEU 0.13 / chrF 11.96 / ROUGE-L 0.067 to BLEU 1.26 / chrF 14.08 / ROUGE-L 0.107. Together, the experiments show that CNNs are the stronger short-phrase closed-vocabulary baseline, while the VLM better matches the full sentence translation objective even though it still needs more compute and data to become accurate. +Communication barriers between Deaf and hearing communities remain a significant +accessibility challenge despite the availability of human interpreters and +captioning services. We present \textbf{BridgeLink ASL}, a real-time system for +word-level American Sign Language (ASL) recognition that runs on a standard +consumer laptop and a free Hugging Face Space. Our approach decomposes the +problem into (i) pose and hand landmark extraction using MediaPipe Holistic and +(ii) temporal classification with a lightweight temporal convolutional neural +network (CNN). We compare this trained CNN against a zero-shot vision-language +model (VLM) reranking workflow in which the VLM chooses from the CNN's top-5 +candidate labels. Training on the WLASL-100 subset, our CNN reaches TODO\% top-1 +and TODO\% top-5 accuracy on the held-out test set, and the VLM reranker reaches +TODO\% accuracy on a WLASL-25 held-out evaluation set. We keep a Transformer +encoder as an additional attention-based experiment, but the primary comparison +is CNN versus VLM-assisted reranking. \end{abstract} +% ----------------------------------------------------------------------------- \section{Introduction} - -ASL is a complete visual language with its own grammar, facial expressions, body movement, and timing. In many everyday settings, however, hearing people do not know ASL and professional interpreters are not always available. This creates a communication barrier in classrooms, offices, medical spaces, and public services. The goal of BridgeLink ASL is to explore whether modern computer vision can reduce that barrier by converting ASL video input into readable English captions in a simple web interface. - -At the beginning of the project, we treated ASL recognition as an isolated-sign classification problem using WLASL. That approach produced a practical live webcam demo because isolated words can be represented with a short temporal sequence of hand and body landmarks. Later, after instructor feedback emphasized sentence classification rather than individual signs or still images, we extended the project to How2Sign, a continuous ASL dataset whose clips correspond to full English sentence translations. That change turned the project into a more direct CNN-versus-VLM comparison: could a closed-vocabulary video classifier solve the requirement well enough, or was a video-text translation model the better direction for sentence-level ASL? This final report documents both branches and explains where each one succeeds and where it breaks down. - -The project contributions are: +\label{sec:intro} + +American Sign Language is the primary language of an estimated half-million +Deaf individuals in the United States and an even larger community of signers +worldwide. In everyday settings --- classrooms, clinics, retail, transit --- +real-time ASL-to-English translation is rarely available, and the burden of +communication typically falls on the Deaf individual. Computer vision offers a +path to ambient, always-available translation tools that do not require human +interpreters or specialized hardware. + +In this work we focus on \emph{word-level} recognition (also called isolated +sign recognition): given a short video of a signer producing one sign, predict +the corresponding English gloss. Word-level recognition is a necessary +building block for more ambitious continuous-translation systems and is +well-suited to a course-length project because of the availability of clean +benchmarks, mature feature extractors, and the ability to run and demo the +final system live in a classroom. + +Our contributions are: \begin{itemize} - \item A working real-time ASL web application with webcam input, uploaded clip input, confidence-gated captions, and Hugging Face Space deployment support. - \item A landmark-based temporal CNN for isolated WLASL signs using MediaPipe hand and pose landmarks. - \item A sentence-level 3D CNN trained on RGB How2Sign full-sentence video clips, not still images. - \item A Qwen2.5-VL-3B QLoRA fine-tuning pipeline for How2Sign video-to-English translation, preserved from the teammate Hugging Face Space workspace and imported into the main repository. - \item Dataset analysis showing why all 31,047 local How2Sign clips cannot be used directly as independent sentence classes under a standard softmax classifier. - \item Presentation and report figures generated with Matplotlib to show dataset sparsity, class distributions, model comparisons, 3D CNN experiments, and VLM fine-tuning results. + \item A complete, reproducible pipeline for WLASL-100 word-level ASL + recognition using MediaPipe Holistic landmarks and a lightweight temporal + CNN, trainable end-to-end on a single free-tier GPU. + \item A Gradio-based Hugging Face Space that serves the model with both + live webcam streaming and uploaded-clip inference, including sliding-window + temporal smoothing and text-to-speech output. + \item A CNN versus VLM comparison: the CNN provides top-5 sign candidates, + and a pretrained VLM reranks those candidates from the original video clip + without task-specific VLM fine-tuning. \end{itemize} -\section{Literature Review} - -\textbf{Word-level ASL recognition.} WLASL introduced a large video benchmark for word-level ASL recognition with 2,000 glosses and standardized subset sizes such as WLASL-100 and WLASL-300 \cite{li2020wlasl}. WLASL is useful for isolated sign recognition because each clip has a single gloss label. However, it is not designed for paragraph-length translation because the labels are words, not full sentence meanings. - -\textbf{Continuous ASL datasets.} How2Sign is a large-scale multimodal and multiview continuous ASL dataset with more than 80 hours of sign language videos and corresponding modalities including English transcripts, speech, depth, and pose-related data \cite{duarte2021how2sign}. The dataset is more aligned with our sentence-recognition requirement because its green-screen RGB clips are segmented around sentence-level English translations. This makes How2Sign a better fit than WLASL for testing whether a model can classify full signed sentences. - -\textbf{Landmark-based models.} MediaPipe Holistic provides real-time pose, hand, and face landmark estimation on consumer hardware \cite{grishchenko2020mediapipe}. Landmark representations are compact and reduce background variation, so they are well suited for webcam demos. Skeleton and graph-based sign methods, including skeleton-aware multimodal sign recognition, also show the value of pose representations for sign understanding \cite{jiang2021slgcn}. - -\textbf{3D CNN video models.} 3D CNNs extend standard 2D convolution by adding a temporal dimension. A Conv3D kernel learns local patterns across time, height, and width, making it appropriate for short video clips where motion matters \cite{tran2015c3d}. For our sentence branch, the 3D CNN receives sampled RGB frame volumes and learns from motion and appearance jointly. - -\textbf{Transformer and VLM baselines.} Sign Language Transformers frame sign recognition as a sequence modeling task \cite{camgoz2020signtransformer}. Beyond pure classifiers, recent vision-language models can directly map video content into text. Parameter-efficient fine-tuning methods such as LoRA \cite{hu2022lora} and QLoRA \cite{dettmers2023qlora} make this practical on smaller hardware by training lightweight adapters instead of fully updating every model weight. In our project, this became the main sentence-translation alternative to the CNN approach. - -\section{Data Description} - -Following the dataset-reporting style used in Section 3 of the Toyota Smarthome Untrimmed paper \cite{dai2020toyota}, we describe the source, modalities, labels, splits, and limitations of each dataset used in BridgeLink ASL. - -\subsection{WLASL Word-Level Data} - -WLASL is a public word-level ASL video dataset where each clip is labeled by an English gloss, such as \texttt{help}, \texttt{drink}, or \texttt{yes}. In our project, WLASL supports the live webcam and uploaded isolated-sign tab. The deployed WLASL label map contains 100 word classes. The reported WLASL evaluation artifact is a 36-clip WLASL-25 hybrid subset with 22 true classes. Each record contains the ground-truth label and the CNN top-5 candidates used for the VLM comparison. - -The WLASL branch does not solve full sentence translation. It is useful because it demonstrates real-time sign recognition and produces sensible output from webcam input, but it remains an isolated-sign classifier. - -\subsection{How2Sign Sentence Data} - -How2Sign provides continuous ASL videos aligned with English sentence translations. The data used in this project are green-screen RGB frontal-view clips. Each clip shows a signer from the upper body view, including the hands, arms, torso, face region, and green-screen background. The label is an English sentence string, for example \texttt{Thank you.}, \texttt{Here we go.}, or \texttt{One, two, three.} - -Our local How2Sign processing pipeline matched 31,047 sentence clips from the available RGB clip and translation files. However, approximately 30,008 of those labels are unique sentence strings. This is the central data issue. A standard softmax classifier needs multiple examples of each class so it can learn what visual variation belongs to the same label. If nearly every sentence appears once, then treating all 31,047 clips as 31,047 classes becomes memorization rather than learnable supervised classification. - -To make the task trainable within the current 3D CNN structure, we selected repeated sentence labels. Table~\ref{tab:how2sign-subsets} summarizes the usable repeated subsets. The final model uses the top-25 repeated sentence subset after conservative label normalization. Normalization merges punctuation and spelling variants such as \texttt{Hi!} with \texttt{Hi.}, \texttt{O.k.} with \texttt{Okay.}, and \texttt{Alright.} with \texttt{All right.} This reduced the top-25 subset from 25 raw labels to 21 normalized labels while keeping the same 479 clips. - -For the VLM branch, the data are represented differently. Instead of treating each sentence as a class, the imported Qwen2.5-VL workspace uses JSONL rows with \texttt{id}, \texttt{video\_path}, and \texttt{translation}. This means the model can train on arbitrary sentence-video pairs even if every sentence string is unique. The archived experiment we imported into the main repository uses 500 How2Sign training clips and 100 validation clips. This is a much smaller slice of the full dataset than the 31k local clip inventory, but unlike the 3D CNN classifier, the VLM objective is compatible with open-ended sentence labels. - -\begin{table}[t] -\centering -\small -\begin{tabular}{lrr} -\toprule -Subset & Clips & Classes \\ -\midrule -All matched How2Sign clips & 31,047 & 30,008 \\ -Repeated at least 2 times & 1,487 & 448 \\ -Repeated at least 3 times & 769 & 89 \\ -Repeated at least 5 times & 611 & 41 \\ -Repeated at least 8 times & 531 & 26 \\ -Top-12 repeated subset & 218 & 12 \\ -Top-25 repeated subset & 479 & 25 \\ -Top-25 normalized subset & 479 & 21 \\ -\bottomrule -\end{tabular} -\caption{How2Sign sentence-label sparsity. Most full sentence labels occur once, so the supervised CNN was trained on repeated sentence subsets.} -\label{tab:how2sign-subsets} -\end{table} +% ----------------------------------------------------------------------------- +\section{Related Work} +\label{sec:related} + +\paragraph{Isolated sign recognition.} WLASL~\cite{li2020wlasl} established a +large-scale word-level ASL benchmark with 2,000 glosses and standardized +WLASL-100/300/1000/2000 subsets; they also introduced I3D and Pose-TGCN +baselines. Follow-up work such as Sign Pose-based +Transformer~\cite{boha2021signpose} and SL-GCN~\cite{jiang2021slgcn} demonstrated +that skeleton-only models can match or exceed pixel-based methods while being +substantially more efficient. + +\paragraph{Landmark-based recognition.} MediaPipe +Holistic~\cite{grishchenko2020mediapipe} provides a reliable, freely available +pose and hand estimator that runs in real time on CPU, which has made +landmark-based sign classification practical outside research labs. + +\paragraph{Sign language transformers.} Camgoz et +al.~\cite{camgoz2020signtransformer} introduced the Sign Language Transformer +for joint recognition and translation on continuous sign. Although our task +scope is word-level, we borrow the basic idea of treating per-frame features +as a sequence and applying a Transformer encoder with a classification token. + +% Replace the citation keys in references.bib. Five papers = 1 per team member. + +% ----------------------------------------------------------------------------- +\section{Dataset} +\label{sec:dataset} + +\paragraph{WLASL-100.} We use the WLASL-100 subset of the Word-Level ASL +dataset~\cite{li2020wlasl}, which consists of the 100 most frequent glosses +from WLASL-2000. Each class contains approximately 15--20 short clips taken +from public ASL instructional videos and compiled into a single benchmark with +author-provided train/validation/test splits that avoid signer overlap across +splits. We obtain the pre-processed video mirror from a public Kaggle dataset +to avoid the YouTube link-rot that affects the official download script. + +\paragraph{Dataset properties.} After removing clips whose videos are no longer +available, our working set contains TODO\_TRAIN training clips, TODO\_VAL +validation clips, and TODO\_TEST test clips across TODO\_CLASSES classes. We +retain the official WLASL split assignment so that our reported numbers are +directly comparable to prior work. \Cref{fig:classdist} and +\cref{fig:splitdist} summarize class and split distributions. \begin{figure}[t] \centering -\includegraphics[width=\linewidth]{figures/how2sign_dataset_constraint.png} -\caption{How2Sign dataset constraint. The project has access to many sentence clips, but most labels are singletons, which limits ordinary closed-vocabulary classification.} -\label{fig:dataset-constraint} +\includegraphics[width=\linewidth]{figures/class_distribution.png} +\caption{Top-30 class distribution in our working WLASL-100 split.} +\label{fig:classdist} \end{figure} \begin{figure}[t] \centering -\includegraphics[width=\linewidth]{figures/how2sign_top25_class_distribution.png} -\caption{Class distribution for the normalized top-25 How2Sign sentence subset used by the final 3D CNN.} -\label{fig:class-distribution} +\includegraphics[width=0.8\linewidth]{figures/split_distribution.png} +\caption{Official train/validation/test split sizes retained in our +subset after accounting for unavailable videos.} +\label{fig:splitdist} \end{figure} +\paragraph{Annotation and licensing.} WLASL provides per-clip gloss labels, +temporal bounds (\texttt{frame\_start}, \texttt{frame\_end}), signer bounding +boxes, and subset membership tags. The dataset is distributed under the +Computational Use of Data Agreement (C-UDA), permitting academic and +computational use. + +\paragraph{Preprocessing.} For each clip we trim to the labeled +\texttt{[frame\_start, frame\_end]} range, optionally crop to the provided +signer bounding box, and uniformly sample $T = 32$ frames. Each frame is +passed through MediaPipe Holistic, yielding 21 left-hand landmarks, 21 +right-hand landmarks, and 33 pose landmarks, each with $(x, y, z)$ coordinates, +for a total feature vector of dimension $225$. A clip is therefore represented +as a $(32, 225)$ tensor of floats. Missing hands (which occur for non-dominant +signs or occlusion) are represented as zero vectors. + +% ----------------------------------------------------------------------------- \section{Method} - -\subsection{System Pipeline} - -BridgeLink ASL is implemented as a Gradio application. The live tab accepts webcam frames, the word clip tab accepts uploaded or recorded WLASL-style clips, and the sentence tab accepts uploaded How2Sign-style RGB sentence clips. The output is a caption area designed to avoid showing uncertain answers. When confidence is below the display threshold, the interface shows that no confident sign or sentence has been produced yet. - -\subsection{Landmark CNN for Word-Level Recognition} - -The WLASL branch uses MediaPipe Holistic as a fixed feature extractor. For each sampled frame, we collect 21 left-hand landmarks, 21 right-hand landmarks, and 33 pose landmarks. Each landmark contributes $(x,y,z)$ coordinates, producing a 225-dimensional feature vector per frame. A clip is represented as a sequence of 32 frames, so the input tensor is $32 \times 225$. - -The landmark classifier is a temporal 1D CNN: -\begin{itemize} - \item Input: 32-frame landmark sequence with 225 features per frame. - \item Layers: BatchNorm1D, Conv1D with 128 channels, BatchNorm, ReLU, Dropout, Conv1D with 128 channels, BatchNorm, ReLU, MaxPool1D, Conv1D with 256 channels, BatchNorm, ReLU, Dropout, AdaptiveAvgPool1D, and a final linear classifier. - \item Output: softmax probabilities over the deployed word-label set. - \item Runtime filter: predictions are only displayed after confidence and stability checks so captions do not flicker. -\end{itemize} - -The training notebook optimizes cross entropy with label smoothing 0.1 using AdamW, learning rate $10^{-3}$, weight decay $10^{-2}$, batch size 64, 50 epochs, and cosine annealing. The purpose of this model is to provide a fast, stable, real-time baseline for the live demo, not to solve sentence-level ASL. - -\subsection{Sentence-Level 3D CNN} - -The sentence model is the main video CNN contribution. It reads RGB video frames directly rather than landmarks. Each sentence clip is decoded, uniformly sampled to 16 frames, resized to $112 \times 112$, and stacked into a 5D input tensor: -\[ -\mathbf{X} \in \mathbb{R}^{16 \times 112 \times 112 \times 3}. -\] - -The final 3D CNN architecture is: -\begin{itemize} - \item Input layer named \texttt{clip\_frames}. - \item Rescaling layer dividing pixels by 255. - \item Conv3D block 1: 16 filters, $3 \times 3 \times 3$ kernel, ReLU, same padding, BatchNorm, MaxPool3D with pool $(1,2,2)$. - \item Conv3D block 2: 32 filters, $3 \times 3 \times 3$ kernel, ReLU, same padding, BatchNorm, MaxPool3D with pool $(2,2,2)$. - \item Conv3D block 3: 64 filters, $3 \times 3 \times 3$ kernel, ReLU, same padding, BatchNorm, MaxPool3D with pool $(2,2,2)$. - \item GlobalAveragePooling3D layer named \texttt{clip\_embedding}. - \item Dropout with rate 0.4. - \item Dense softmax classifier over the sentence classes. -\end{itemize} - -The cost function is sparse categorical cross entropy: -\[ -\mathcal{L} = -\frac{1}{N}\sum_{i=1}^{N}\log p_\theta(y_i \mid \mathbf{X}_i), -\] -where $\mathbf{X}_i$ is the sampled RGB clip volume and $y_i$ is the sentence-class index. The optimizer is Adam \cite{kingma2015adam} with learning rate $3 \times 10^{-4}$. We used batch size 2 because raw RGB clip volumes are memory-heavy compared with landmark tensors. The default training schedule is 20 epochs with model checkpointing on validation accuracy, early stopping patience 5, and ReduceLROnPlateau on validation loss with patience 2 and factor 0.5. - -\subsection{Qwen2.5-VL VLM Translation Path} - -The teammate VLM workspace, originally maintained as a Hugging Face Space repository and then imported into the main project repository, fine-tunes \texttt{Qwen/Qwen2.5-VL-3B-Instruct} on How2Sign sentence-video pairs. This branch treats the task as conditional generation rather than classification. Given a video and a prompt, the model autoregressively generates the target English translation. - -The prompt used during training and evaluation is: -\begin{quote} -\small -Translate the American Sign Language video into natural English. Output only the English translation. -\end{quote} - -The video preprocessing settings match the lightweight 3D CNN clip budget closely enough to support a fair engineering comparison: -\begin{itemize} - \item Sampling rate: 2 FPS. - \item Maximum frames: 16. - \item Maximum decoded output length: 96 new tokens. - \item Deterministic generation: no sampling, temperature 0.0. -\end{itemize} - -Fine-tuning uses LoRA adapters with a QLoRA setup \cite{hu2022lora,dettmers2023qlora}. The archived configuration trains for 1 epoch with per-device batch size 1, gradient accumulation 8, learning rate $10^{-4}$, LoRA rank 16, LoRA alpha 32, LoRA dropout 0.05, NF4 4-bit quantization, and gradient checkpointing. The trainable target modules are the attention and MLP projection layers: -\texttt{q\_proj}, \texttt{k\_proj}, \texttt{v\_proj}, \texttt{o\_proj}, \texttt{gate\_proj}, \texttt{up\_proj}, and \texttt{down\_proj}. - -The training loss for this branch is token-level autoregressive cross entropy over the reference translation text, with prompt tokens masked so only the target translation contributes to the loss. This is the key conceptual difference from the CNN branch: the VLM does not require a fixed sentence class list and is therefore compatible with unique sentence labels. - -\subsection{Embedding Retrieval Mode} - -The Hugging Face sentence demo can load the trained 3D CNN and use the \texttt{clip\_embedding} layer as a video embedding. At inference time, the uploaded clip is embedded and compared against a small support index built from repeated training clips. This nearest-neighbor mode is useful for the demo because it often gives more stable matches for short repeated phrases than raw softmax confidence alone. The report metrics, however, still evaluate the supervised 3D CNN classification checkpoints on held-out splits. - -\section{Experimentation} - -\subsection{Implementation} - -The project is implemented in Python 3.11. The live application uses Gradio, OpenCV, MediaPipe, PyTorch, TensorFlow/Keras, NumPy, and Hugging Face Hub. The sentence CNN is trained through the command-line module \texttt{bridgelink\_asl.cli.train\_cnn\_model}. The VLM experiment uses a separate Qwen2.5-VL workspace with \texttt{transformers}, \texttt{accelerate}, \texttt{peft}, \texttt{bitsandbytes}, \texttt{decord}, \texttt{datasets}, \texttt{evaluate}, \texttt{sacrebleu}, and \texttt{rouge-score}. That workspace was imported from the teammate Hugging Face Space into the main repository under \texttt{vlm\_hf\_space/} so the final GitLab submission contains the full VLM code and archived outputs. Figures are generated with Matplotlib from saved metrics and dataset summaries. - -\subsection{Splits} - -The final How2Sign normalized sentence dataset contains 479 clips across 21 normalized sentence labels. The split used for the final 3D CNN is: -\begin{itemize} - \item Training: 335 clips. - \item Validation: 72 clips. - \item Test: 72 clips. -\end{itemize} - -The WLASL hybrid evaluation subset contains 36 test clips across 22 true labels. It is used to evaluate the landmark CNN and VLM reranking workflow. - -The imported How2Sign VLM experiment uses prepared JSONL manifests with: -\begin{itemize} - \item Training: 500 sampled sentence-video pairs. - \item Validation / evaluation: 100 sampled sentence-video pairs. -\end{itemize} -These clips come from the broader How2Sign sentence corpus and are evaluated with translation metrics rather than classification accuracy. - -\subsection{Model Variants} - -We ran several CNN and VLM experiments: -\begin{itemize} - \item \textbf{Top-12 repeated subset:} early feasibility test with 218 clips and 12 classes. - \item \textbf{Top-25 raw subset:} larger closed vocabulary with 479 clips and 25 sentence labels. - \item \textbf{Top-25 normalized subset:} duplicate-label merge that reduces the label space to 21 classes. - \item \textbf{Continued training:} additional epochs from the top-25 checkpoint. - \item \textbf{Class weighting:} balanced class weights to compensate for label imbalance. - \item \textbf{How2Sign VLM baseline:} zero-shot Qwen2.5-VL-3B evaluation on 100 validation clips. - \item \textbf{How2Sign VLM QLoRA fine-tune:} 1 epoch of adapter training on 500 training clips, evaluated on the same 100 validation clips. -\end{itemize} - -\section{Results} - -\subsection{Working Model Output} - -The final application produces sensible output in three ways. The live webcam tab displays stabilized word predictions from the landmark CNN. The upload tab returns word-level predictions with confidence values. The How2Sign sentence tab returns a sentence-level best match from the 3D CNN sentence model or withholds the caption if the result is not confident enough. This satisfies the modeling requirement that the system accepts input and produces interpretable output. - -\subsection{Quantitative Results} - -Table~\ref{tab:overall-results} gives the classification-side evaluation results. The best 3D CNN is the normalized How2Sign top-25 model. Its accuracy is not high in an absolute sense, but it is better than the raw top-25 and top-12 sentence baselines and is trained on full sentence video clips. The VLM results are reported separately because they are translation metrics rather than class-accuracy metrics. - -\begin{table}[t] -\centering -\small -\resizebox{\linewidth}{!}{% -\begin{tabular}{lrrrr} -\toprule -Model / Track & Eval clips & Classes & Accuracy & Macro F1 \\ -\midrule -WLASL landmark CNN top-1 & 36 & 22 true & 25.0\% & 15.1\% \\ -WLASL VLM rerank & 36 & 22 true & 25.0\% & -- \\ -How2Sign 3D CNN normalized & 72 & 21 & 27.8\% & 6.0\% \\ -\bottomrule -\end{tabular} -} -\caption{Primary classification results. The WLASL branch is word-level; the How2Sign branch is sentence-level RGB video classification.} -\label{tab:overall-results} -\end{table} - -\begin{table}[t] -\centering -\small -\resizebox{\linewidth}{!}{% -\begin{tabular}{lrrrrr} -\toprule -How2Sign experiment & Classes & Train & Val & Test & Test acc. \\ -\midrule -Top-12 repeated & 12 & 150 & 34 & 34 & 14.7\% \\ -Top-25 raw & 25 & 335 & 72 & 72 & 20.8\% \\ -Top-25 normalized & 21 & 335 & 72 & 72 & \textbf{27.8\%} \\ -Top-25 continued & 25 & 335 & 72 & 72 & 18.1\% \\ -Top-25 weighted & 25 & 335 & 72 & 72 & 13.9\% \\ -\bottomrule -\end{tabular} -} -\caption{Sentence-level 3D CNN ablation results. Label normalization gave the strongest held-out test accuracy.} -\label{tab:how2sign-results} -\end{table} +\label{sec:method} + +\paragraph{Overview.} Our pipeline has three stages: (i) per-frame landmark +extraction, (ii) sequence-level classification with a temporal CNN, and +(iii) temporal smoothing at inference time for the live demo. A Transformer +encoder is retained as an optional attention-based extension. + +\paragraph{Landmark extraction.} We use MediaPipe Holistic as a frozen +self-supervised feature extractor. MediaPipe Holistic is trained on large +amounts of web-scale data with self-supervised signals and provides stable +hand and pose landmarks at interactive rates on CPU, which makes it practical +for a free-tier demo. Using landmarks rather than raw pixels has three +benefits: the input representation is compact, invariant to background and +lighting, and the downstream model is small enough to train quickly and run +live on CPU. + +\paragraph{Landmark CNN.} The landmark sequence $\mathbf{X} \in +\mathbb{R}^{T \times 225}$ is transposed into a channel-first representation +and passed through a temporal 1D CNN. The CNN uses batch normalization, +three convolutional blocks, ReLU activations, dropout, max pooling, and global +average pooling before a linear classification head. This model is the primary +trained classifier for the CNN-versus-VLM comparison. + +\paragraph{Optional Transformer.} To address the attention/modern-methods +portion of the rubric, we also train an optional Transformer encoder on the +same MediaPipe landmark tensors. This model is reported as an extension rather +than the primary professor-facing comparison. + +\paragraph{Loss and optimization.} We train the CNN with cross-entropy loss +with label smoothing of 0.1, using the AdamW optimizer with learning rate +$10^{-3}$, weight decay $10^{-2}$, and a cosine annealing schedule over 50 +epochs. We clip gradients at a max norm of 1.0 and use a batch size of 64. + +\paragraph{Augmentation.} To combat the relatively small dataset size we apply +three augmentations at training time: (i) Gaussian jitter on landmark +coordinates ($\sigma = 0.01$); (ii) horizontal flip, which we implement by +mirroring the $x$-coordinates of all landmarks and \emph{swapping} the +left-hand and right-hand blocks, so that a left-handed sign is transformed +into its right-handed counterpart rather than a physically impossible layout; +and (iii) random temporal dropout that zeros out a short contiguous window of +frames, encouraging the model to not rely on any single frame. + +\paragraph{Inference-time smoothing.} In the live demo we maintain a rolling +buffer of the most recent $32$ frames and run the model every $4$ frames +(stride 4). A predicted sign is only emitted when its confidence exceeds +$\tau = 0.35$ and the same top-1 prediction has been produced on at least +$K = 2$ consecutive runs. This prevents spurious single-frame predictions +from appearing in the output caption. + +% ----------------------------------------------------------------------------- +\section{Experiments} +\label{sec:experiments} + +\paragraph{Implementation.} Training is implemented in PyTorch 2.2 on a +Kaggle notebook with one NVIDIA T4 GPU. Landmark extraction uses the +MediaPipe Python package. End-to-end training (60 epochs including +evaluation on every epoch) takes approximately TODO minutes. The live demo is +deployed as a Hugging Face Space using Gradio. + +\paragraph{Splits.} We use the official WLASL-100 train / validation / test +split, which assigns each clip to exactly one split by video ID and is +signer-disjoint across splits. + +\paragraph{Baseline and comparison.} The primary trained model is a temporal +landmark CNN. We compare it against a pretrained VLM used in zero-shot reranking +mode. The VLM is not fine-tuned; instead, it receives the original clip and the +CNN's top-5 candidate labels and selects the best label from that constrained +set. The optional Transformer result is reported separately as an attention +extension. + +\paragraph{Results.} \Cref{tab:main} reports top-1 and top-5 accuracy on the +WLASL-100 test split for the CNN and optional Transformer. +\Cref{fig:trainingcurves} shows training loss and validation accuracy over +epochs. \Cref{fig:confmat} shows the confusion matrix on the test split. We +observe that TODO (qualitative observations once you have real numbers --- +confusions between visually similar signs, classes with few training samples, +which augmentations helped most, etc.). \begin{table}[t] \centering \small -\resizebox{\linewidth}{!}{% -\begin{tabular}{lrrrr} +\begin{tabular}{lcc} \toprule -How2Sign VLM run & Samples & BLEU & chrF & ROUGE-L \\ +Model & Top-1 Acc. & Top-5 Acc. \\ \midrule -Base Qwen2.5-VL-3B & 100 & 0.13 & 11.96 & 0.0668 \\ -QLoRA fine-tuned & 100 & \textbf{1.26} & \textbf{14.08} & \textbf{0.1074} \\ +Landmark CNN (ours) & \textbf{TODO} & \textbf{TODO} \\ +VLM reranker on CNN top-5 & TODO & -- \\ +Optional Transformer & TODO & TODO \\ \bottomrule \end{tabular} -} -\caption{How2Sign VLM translation results from the imported teammate workspace. Fine-tuning improves every reported translation metric, although the absolute scores remain low.} -\label{tab:vlm-results} +\caption{Primary CNN versus VLM comparison. The VLM is evaluated as a +zero-shot reranker over the CNN's top-5 candidates rather than as a fine-tuned +classifier.} +\label{tab:main} \end{table} \begin{figure}[t] \centering -\includegraphics[width=\linewidth]{figures/how2sign_subset_benchmark.png} -\caption{Top-12, top-25, and normalized top-25 3D CNN benchmark comparison.} -\label{fig:subset-benchmark} -\end{figure} - -\begin{figure}[t] -\centering -\includegraphics[width=\linewidth]{figures/how2sign_top25_experiment_comparison.png} -\caption{3D CNN experiment comparison. The normalized sentence labels produced the best test accuracy.} -\label{fig:experiment-comparison} +\includegraphics[width=\linewidth]{figures/training_curves.png} +\caption{Training loss and validation top-1 / top-5 accuracy over 60 epochs.} +\label{fig:trainingcurves} \end{figure} \begin{figure}[t] \centering -\includegraphics[width=\linewidth]{figures/vlm_how2sign_metrics.png} -\caption{How2Sign VLM baseline versus QLoRA fine-tuned translation metrics on the archived 100-sample validation evaluation.} -\label{fig:vlm-metrics} +\includegraphics[width=\linewidth]{figures/confusion_matrix.png} +\caption{Confusion matrix on the WLASL-100 test split.} +\label{fig:confmat} \end{figure} -\subsection{Observations} - -The most important result is that dataset structure matters more than raw storage size. The project has access to about 31,000 local How2Sign clips, but a closed-vocabulary sentence classifier cannot learn 30,000 classes with one example per class. The repeated-sentence subset is much smaller, but it provides a trainable objective because each class has multiple examples. - -Label normalization improved the sentence model because the original labels contained separate classes for sentence variants that are visually and semantically almost identical. For example, \texttt{Okay.}, \texttt{Okay?}, and \texttt{O.k.} should not be treated as unrelated classes. Merging these labels reduced unnecessary class fragmentation and improved test accuracy from 20.8\% to 27.8\%. - -The imported VLM experiment shows the opposite tradeoff. Because the VLM predicts open-ended text, it can be trained on sentence-video pairs without repeated class labels. This makes it the more principled approach for full paragraph-level or free-form sentence translation. However, the archived fine-tuning run is still compute-limited and data-limited: it uses only 500 training clips and 100 evaluation clips, and the resulting BLEU / chrF / ROUGE-L scores remain low even though they improve over the base model. Qualitative predictions reveal another challenge: the model often produces generic instructional language or safety-style refusal text instead of grounded translations. - -Class weighting and continued training did not improve the final 3D CNN result. This suggests the bottleneck is not simply undertraining. The harder problem is limited repeated sentence data, visual similarity between short phrases, and the fact that English sentence labels do not always align perfectly with ASL timing. In short, the CNN is the stronger short-phrase closed-vocabulary baseline, while the VLM is the architecture that scales more naturally to unrestricted sentence translation. - -\subsection{Qualitative Results and Demo} +\paragraph{Qualitative results.} We record live webcam demonstrations of +common signs including \texttt{HELLO}, \texttt{THANK\_YOU}, \texttt{HELP}, +\texttt{DRINK}, and \texttt{MORE}. The model tracks the signer at +interactive rates and emits a caption once the prediction stabilizes. A video +of the demo is linked in our GitLab repository. -The live demo is intentionally confidence-gated. If the model does not meet the confidence threshold, the UI displays ``No Confident Sign Yet'' or ``No Confident Sentence Yet'' rather than showing a likely incorrect caption. This is important for accessibility because a wrong caption can be worse than no caption. In successful sentence demos, short repeated phrases such as \texttt{Thank you.}, \texttt{One, two, three.}, and \texttt{Here we go.} are the best candidates because they exist in the repeated How2Sign training subset. - -The VLM branch is more useful as an offline experiment than as the final live demo path. In the archived predictions, the fine-tuned model does move away from outright refusals and toward sentence-like English outputs, but many generations are still semantically generic rather than clip-specific. That makes the VLM promising as the long-term direction, but not yet reliable enough to replace the gated CNN demo in a classroom presentation. - -\section{Limitations and Future Work} - -The current 3D CNN satisfies the requirement of using video clips of full ASL sentences, but it is a closed-vocabulary sentence classifier. It cannot read arbitrary paragraphs of sign language. To use all 31,047 clips effectively, the training objective would need to change from sentence-class classification to a video-to-text or contrastive video-text objective. The VLM branch already moves in that direction, but the current QLoRA run is too small to be competitive yet. - -Accuracy could be improved by: -\begin{itemize} - \item Expanding the repeated-label subset with more clips per sentence class for the CNN branch. - \item Using signer-aware or source-aware train/test splits when signer metadata is available. - \item Fine-tuning a pretrained video backbone instead of training a small 3D CNN from scratch. - \item Combining RGB frames with landmark or pose streams to reduce background and clothing sensitivity. - \item Training the VLM on a much larger portion of How2Sign instead of the current 500/100 sample budget. - \item Evaluating with additional translation metrics and human judgment to better judge semantic correctness. - \item Training a retrieval model that uses sentence text embeddings instead of requiring every sentence to be a separate class. -\end{itemize} +\paragraph{Limitations.} Our system is limited to 100 glosses and does not +model co-articulation or sentence structure. Recognition accuracy degrades +under poor lighting, partial occlusion, or unusual camera angles because +MediaPipe Holistic becomes unreliable in those conditions. The model is +signer-independent but was not stress-tested on signers outside the WLASL +training distribution. +% ----------------------------------------------------------------------------- \section{Conclusion} +\label{sec:conclusion} -BridgeLink ASL demonstrates a complete CNN-versus-VLM project pipeline for ASL recognition and translation. The landmark CNN provides a practical real-time word-sign demo, the How2Sign 3D CNN provides a working full-sentence video classifier, and the imported Qwen2.5-VL workspace provides the open-ended translation branch that better matches long-form sentence understanding. The best 3D CNN reaches 27.8\% test accuracy on a 21-class repeated-sentence task, while the fine-tuned VLM improves over its base checkpoint on BLEU, chrF, and ROUGE-L but still needs more training scale. The project therefore meets the core technical requirements while also making an honest technical point: CNNs are currently the stronger constrained demo path, but VLM-style video-to-text modeling is the more scalable direction for true sentence and paragraph translation. - -\section*{Acknowledgments} +We presented BridgeLink ASL, a practical real-time word-level ASL recognition +system built from MediaPipe Holistic landmarks and a lightweight CNN, with an +additional zero-shot VLM reranking comparison. The full pipeline trains in under an hour on a free GPU and runs +live on CPU in a hosted Hugging Face Space. We hope the system and its +accompanying code serve as a useful starting point for students building +accessibility tools in computer vision courses. -We thank the creators of WLASL, How2Sign, MediaPipe, TensorFlow, PyTorch, Gradio, and Hugging Face for releasing tools and datasets that made this project possible. +\paragraph{Acknowledgments.} We thank the creators of WLASL and MediaPipe for +releasing their data and tools to the research community, and our instructors +for their guidance throughout the project. +% ----------------------------------------------------------------------------- {\small -\bibliographystyle{plain} +\bibliographystyle{ieeenat_fullname} \bibliography{references} } diff --git a/report/references.bib b/report/references.bib index 85d3e85e114b1bb17d4a41659ff7aa688bfb7c40..89460ed8691a8792ba40ea73558d3ca4abef2c5b 100644 --- a/report/references.bib +++ b/report/references.bib @@ -6,13 +6,6 @@ year={2020} } -@inproceedings{duarte2021how2sign, - title={{How2Sign}: A Large-scale Multimodal Dataset for Continuous American Sign Language}, - author={Duarte, Amanda and Palaskar, Shruti and Ventura, Lucas and Ghadiyaram, Deepti and DeHaan, Kenneth and Metze, Florian and Torres, Jordi and Giro-i-Nieto, Xavier}, - booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, - year={2021} -} - @article{grishchenko2020mediapipe, title={MediaPipe Holistic: Simultaneous Face, Hand and Pose Prediction, on Device}, author={Grishchenko, Ivan and Bazarevsky, Valentin}, @@ -29,42 +22,6 @@ year={2020} } -@inproceedings{tran2015c3d, - title={Learning Spatiotemporal Features with 3D Convolutional Networks}, - author={Tran, Du and Bourdev, Lubomir and Fergus, Rob and Torresani, Lorenzo and Paluri, Manohar}, - booktitle={IEEE International Conference on Computer Vision (ICCV)}, - pages={4489--4497}, - year={2015} -} - -@article{kingma2015adam, - title={Adam: A Method for Stochastic Optimization}, - author={Kingma, Diederik P. and Ba, Jimmy}, - journal={International Conference on Learning Representations (ICLR)}, - year={2015} -} - -@inproceedings{hu2022lora, - title={LoRA: Low-Rank Adaptation of Large Language Models}, - author={Hu, Edward J. and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Lu and Wang, Weizhu and Chen, Weizhu}, - booktitle={International Conference on Learning Representations (ICLR)}, - year={2022} -} - -@article{dettmers2023qlora, - title={QLoRA: Efficient Finetuning of Quantized LLMs}, - author={Dettmers, Tim and Pagnoni, Artidoro and Holtzman, Ari and Zettlemoyer, Luke}, - journal={Advances in Neural Information Processing Systems (NeurIPS)}, - year={2023} -} - -@article{dai2020toyota, - title={Toyota Smarthome Untrimmed: Real-World Untrimmed Videos for Activity Detection}, - author={Dai, Rui and Das, Srijan and Sharma, Saurav and Minciullo, Luca and Garattoni, Lorenzo and Bremond, Francois and Francesca, Gianpiero}, - journal={arXiv preprint arXiv:2010.14982}, - year={2020} -} - @inproceedings{boha2021signpose, title={Sign Pose-Based Transformer for Word-Level Sign Language Recognition}, author={Bohacek, Matyas and Hruz, Marek}, diff --git a/results/how2sign_top25_dataset_summary.json b/results/how2sign_top25_dataset_summary.json index efb498c0d0bf3ac5931fa419fccbce49dada23d0..971babacfc8a0985e1baf450dbb8ee6f5358a09c 100644 --- a/results/how2sign_top25_dataset_summary.json +++ b/results/how2sign_top25_dataset_summary.json @@ -1,25 +1,29 @@ { - "dataset": "WLASL-25 hybrid evaluation subset", + "dataset": "How2Sign repeated-sentence subset", "total_clips": 479, - "num_classes": 21, + "num_classes": 25, "split_counts": { "test": 72, "train": 335, "val": 72 }, "class_counts": { - "all right.": 21, + "all right.": 9, + "alright.": 12, "and one, two and three, four.": 9, "drop.": 8, "exhale.": 11, "good.": 60, "hello!": 14, "here we go.": 8, - "hi.": 87, + "hi!": 60, + "hi.": 27, "inhale.": 9, "just like that.": 12, "lift.": 17, - "okay.": 92, + "o.k.": 17, + "okay.": 43, + "okay?": 32, "one, two, three, four.": 19, "one, two, three.": 14, "squeeze.": 8, diff --git a/results/vlm_how2sign_metrics_summary.json b/results/vlm_how2sign_metrics_summary.json deleted file mode 100644 index 86e2765ab5ac160ba8baedb1a1f927217831fff4..0000000000000000000000000000000000000000 --- a/results/vlm_how2sign_metrics_summary.json +++ /dev/null @@ -1,22 +0,0 @@ -{ - "source_dir": "C:\\Users\\ofrai\\OneDrive\\Documents\\BridgeLink-ASL\\vlm_hf_space\\outputs\\how2sign_qwen25vl_3b_qlora\\archive_500train_eval100", - "num_samples": 100, - "baseline": { - "num_samples": 100, - "bleu": 0.13190291190140932, - "chrf": 11.964036429797746, - "rouge_l": 0.0668393398798282 - }, - "finetuned": { - "num_samples": 100, - "bleu": 1.2645024575524115, - "chrf": 14.076603963296414, - "rouge_l": 0.10735543170596028 - }, - "delta": { - "bleu": 1.1326, - "chrf": 2.112568, - "rouge_l": 0.040516 - }, - "figure_path": "C:\\Users\\ofrai\\OneDrive\\Documents\\BridgeLink-ASL\\report\\figures\\vlm_how2sign_metrics.png" -} \ No newline at end of file diff --git a/scripts/generate_how2sign_presentation_plots.py b/scripts/generate_how2sign_presentation_plots.py index 0dd3eafd95c1c93267b84dc54a8524e280c7775f..628b1ef7bd064b8b321604b1b0c2904e6b19747e 100644 --- a/scripts/generate_how2sign_presentation_plots.py +++ b/scripts/generate_how2sign_presentation_plots.py @@ -21,23 +21,23 @@ matplotlib.use("Agg") import matplotlib.pyplot as plt from matplotlib.ticker import FuncFormatter -from bridgelink_asl.clip_dataset import load_clip_dataset, summarize_clip_splits +from bridgelink_asl.clip_dataset import load_clip_dataset from bridgelink_asl.cnn import CnnModelConfig, _build_tf_dataset, _require_tensorflow +from bridgelink_asl.how2sign import _load_translation_rows, _normalize_sentence TRANSLATION_DIR = PROJECT_ROOT / "data" / "raw" / "how2sign" / "translations" CLIP_DIR = PROJECT_ROOT / "data" / "raw" / "how2sign" / "clips" / "raw_videos" OUTPUT_DIR = PROJECT_ROOT / "presentation" / "visuals" +TOP12_SUMMARY = PROJECT_ROOT / "results" / "how2sign_top12_dataset_summary.json" +TOP25_SUMMARY = PROJECT_ROOT / "results" / "how2sign_top25_dataset_summary.json" TOP12_MANIFEST = PROJECT_ROOT / "data" / "processed" / "how2sign_sentences_top12.frames.jsonl" TOP25_MANIFEST = PROJECT_ROOT / "data" / "processed" / "how2sign_sentences_top25.frames.jsonl" -TOP25_NORMALIZED_MANIFEST = PROJECT_ROOT / "data" / "processed" / "how2sign_sentences_top25.normalized.frames.jsonl" TOP12_MODEL = PROJECT_ROOT / "models" / "cnn-3d-sentence.keras" TOP25_MODEL = PROJECT_ROOT / "models" / "cnn-3d-sentence-top25.keras" -TOP25_NORMALIZED_MODEL = PROJECT_ROOT / "models" / "cnn-3d-sentence-top25-normalized.keras" TOP25_E30_MODEL = PROJECT_ROOT / "models" / "cnn-3d-sentence-top25-e30.keras" TOP25_WEIGHTED_MODEL = PROJECT_ROOT / "models" / "cnn-3d-sentence-top25-weighted.keras" -TOP25_NORMALIZATION_SUMMARY = PROJECT_ROOT / "results" / "how2sign_top25_normalization_summary.json" BACKGROUND = "#F7F4EE" TEXT = "#18222F" @@ -78,25 +78,15 @@ class ExperimentStat: test_loss: float -BASE_THRESHOLD_STATS = [ - ThresholdStat(label="All matched clips", clip_count=31047, class_count=30008), - ThresholdStat(label="Repeated >= 2", clip_count=1487, class_count=448), - ThresholdStat(label="Repeated >= 3", clip_count=769, class_count=89), - ThresholdStat(label="Repeated >= 5", clip_count=611, class_count=41), - ThresholdStat(label="Repeated >= 8", clip_count=531, class_count=26), -] - - def main() -> None: OUTPUT_DIR.mkdir(parents=True, exist_ok=True) configure_matplotlib() threshold_stats = collect_threshold_stats() - top25_summary = load_summary(TOP25_NORMALIZATION_SUMMARY) + top25_summary = load_summary(TOP25_SUMMARY) benchmark_stats = [ - build_benchmark_stat("Top-12 subset", TOP12_MANIFEST, TOP12_MODEL), - build_benchmark_stat("Top-25 subset", TOP25_MANIFEST, TOP25_MODEL), - build_benchmark_stat("Top-25 normalized", TOP25_NORMALIZED_MANIFEST, TOP25_NORMALIZED_MODEL), + build_benchmark_stat("Top-12 subset", TOP12_SUMMARY, TOP12_MANIFEST, TOP12_MODEL), + build_benchmark_stat("Top-25 subset", TOP25_SUMMARY, TOP25_MANIFEST, TOP25_MODEL), ] experiment_stats = collect_experiment_stats() @@ -135,10 +125,20 @@ def load_summary(path: Path) -> dict[str, object]: def collect_threshold_stats() -> list[ThresholdStat]: - stats = list(BASE_THRESHOLD_STATS) - top12_summary = summarize_manifest(TOP12_MANIFEST) - top25_summary = summarize_manifest(TOP25_MANIFEST) - top25_normalized_summary = summarize_manifest(TOP25_NORMALIZED_MANIFEST) + rows = _load_translation_rows(TRANSLATION_DIR.resolve(), CLIP_DIR.resolve()) + matched_rows = [row for row in rows if row["video_path"] is not None] + counts = Counter(_normalize_sentence(str(row["english"])) for row in matched_rows) + + stats = [ + build_threshold_stat("All matched clips", counts, minimum=1), + build_threshold_stat("Repeated >= 2", counts, minimum=2), + build_threshold_stat("Repeated >= 3", counts, minimum=3), + build_threshold_stat("Repeated >= 5", counts, minimum=5), + build_threshold_stat("Repeated >= 8", counts, minimum=8), + ] + + top12_summary = load_summary(TOP12_SUMMARY) + top25_summary = load_summary(TOP25_SUMMARY) stats.extend( [ ThresholdStat( @@ -151,30 +151,22 @@ def collect_threshold_stats() -> list[ThresholdStat]: clip_count=int(top25_summary["total_clips"]), class_count=int(top25_summary["num_classes"]), ), - ThresholdStat( - label="Top-25 normalized", - clip_count=int(top25_normalized_summary["total_clips"]), - class_count=int(top25_normalized_summary["num_classes"]), - ), ] ) return stats -def summarize_manifest(manifest_path: Path) -> dict[str, object]: - records = load_clip_dataset(manifest_path) - split_counts = summarize_clip_splits(records) - class_counts = Counter(record.label.lower() for record in records) - return { - "total_clips": len(records), - "num_classes": len(class_counts), - "split_counts": split_counts, - "class_counts": dict(sorted(class_counts.items())), - } +def build_threshold_stat(label: str, counts: Counter[str], *, minimum: int) -> ThresholdStat: + eligible = [count for count in counts.values() if count >= minimum] + return ThresholdStat( + label=label, + clip_count=sum(eligible), + class_count=len(eligible), + ) -def build_benchmark_stat(name: str, manifest_path: Path, model_path: Path) -> BenchmarkStat: - summary = summarize_manifest(manifest_path) +def build_benchmark_stat(name: str, summary_path: Path, manifest_path: Path, model_path: Path) -> BenchmarkStat: + summary = load_summary(summary_path) split_counts = summary["split_counts"] val_loss, val_accuracy = evaluate_saved_clip_cnn(manifest_path, model_path, split="val") test_loss, test_accuracy = evaluate_saved_clip_cnn(manifest_path, model_path, split="test") @@ -195,15 +187,13 @@ def build_benchmark_stat(name: str, manifest_path: Path, model_path: Path) -> Be def collect_experiment_stats() -> list[ExperimentStat]: experiments = [ ("Top-25 best", "baseline checkpoint", TOP25_MODEL), - ("Top-25 normalized", "merged duplicate labels", TOP25_NORMALIZED_MODEL), ("Top-25 continued", "18 more epochs", TOP25_E30_MODEL), ("Top-25 weighted", "balanced class weights", TOP25_WEIGHTED_MODEL), ] stats: list[ExperimentStat] = [] for name, training_change, model_path in experiments: - manifest_path = TOP25_NORMALIZED_MANIFEST if model_path == TOP25_NORMALIZED_MODEL else TOP25_MANIFEST - val_loss, val_accuracy = evaluate_saved_clip_cnn(manifest_path, model_path, split="val") - test_loss, test_accuracy = evaluate_saved_clip_cnn(manifest_path, model_path, split="test") + val_loss, val_accuracy = evaluate_saved_clip_cnn(TOP25_MANIFEST, model_path, split="val") + test_loss, test_accuracy = evaluate_saved_clip_cnn(TOP25_MANIFEST, model_path, split="test") stats.append( ExperimentStat( name=name, @@ -246,7 +236,7 @@ def plot_dataset_constraint(stats: list[ThresholdStat]) -> None: labels = [stat.label for stat in stats] clip_counts = [stat.clip_count for stat in stats] class_counts = [stat.class_count for stat in stats] - colors = [ACCENT, "#4E79A7", "#59A14F", "#F28E2B", "#E15759", ACCENT_SOFT, ACCENT_ALT, "#A06CD5"] + colors = [ACCENT, "#4E79A7", "#59A14F", "#F28E2B", "#E15759", ACCENT_SOFT, ACCENT_ALT] fig, axes = plt.subplots(1, 2, figsize=(16, 7), constrained_layout=True) fig.suptitle( @@ -355,7 +345,7 @@ def plot_subset_benchmark(stats: list[BenchmarkStat]) -> None: fig.text( 0.5, -0.02, - "The sentence CNN pipeline is working end to end. Label normalization keeps the same 479 clips, cuts duplicate classes, and improves held-out accuracy.", + "The sentence CNN pipeline is working end to end. Scaling from Top-12 to Top-25 increased both coverage and test accuracy.", ha="center", fontsize=11, color=MUTED, @@ -364,14 +354,14 @@ def plot_subset_benchmark(stats: list[BenchmarkStat]) -> None: def plot_top25_class_distribution(summary: dict[str, object]) -> None: - class_counts = summary["label_counts_after"] + class_counts = summary["class_counts"] items = sorted(class_counts.items(), key=lambda item: item[1], reverse=True) labels = [textwrap.fill(label.title(), width=18) for label, _ in items] values = [count for _, count in items] fig, ax = plt.subplots(figsize=(12, 9), constrained_layout=True) fig.suptitle( - "Normalized Top-25 Class Distribution", + "Top-25 How2Sign Class Distribution", fontsize=20, fontweight="bold", color=TEXT, @@ -381,13 +371,13 @@ def plot_top25_class_distribution(summary: dict[str, object]) -> None: ax.invert_yaxis() ax.set_xlabel("Clips per sentence class") ax.set_ylabel("Sentence label") - ax.set_title("Label normalization helps, but the repeated-sentence subset is still imbalanced") + ax.set_title("The repeated-sentence subset is still imbalanced") annotate_patch_values(ax, bars, percent=False, horizontal=True) fig.text( 0.5, -0.02, - "After merging duplicate labels, classes like 'Okay.', 'Hi.', and 'Good.' still dominate the subset, so head-class bias remains.", + "Classes like 'Good.', 'Hi!', and 'Okay.' dominate the subset, which helps explain why the current benchmark still has head-class bias.", ha="center", fontsize=11, color=MUTED, @@ -426,7 +416,7 @@ def plot_top25_experiment_comparison(stats: list[ExperimentStat]) -> None: ax.set_ylabel("Accuracy") ax.set_ylim(0.0, max(max(stat.val_accuracy, stat.test_accuracy) for stat in stats) * 1.35) ax.yaxis.set_major_formatter(FuncFormatter(format_percent)) - ax.set_title("The normalized checkpoint is now the strongest 3D CNN model") + ax.set_title("The original Top-25 checkpoint remains the strongest model") ax.legend(frameon=False) annotate_patch_values(ax, val_bars, percent=True) annotate_patch_values(ax, test_bars, percent=True) @@ -446,7 +436,7 @@ def plot_top25_experiment_comparison(stats: list[ExperimentStat]) -> None: fig.text( 0.5, -0.03, - "Merging duplicate sentence labels produced the best held-out result; training longer or reweighting alone was less effective.", + "More epochs and balanced class weighting did not improve held-out accuracy, so label structure is the next likely bottleneck.", ha="center", fontsize=11, color=MUTED, diff --git a/scripts/generate_vlm_how2sign_report_artifacts.py b/scripts/generate_vlm_how2sign_report_artifacts.py deleted file mode 100644 index 6746c5f8d02e1a3fde7fc8f6fe32817f796b1f44..0000000000000000000000000000000000000000 --- a/scripts/generate_vlm_how2sign_report_artifacts.py +++ /dev/null @@ -1,102 +0,0 @@ -"""Generate report artifacts for the imported How2Sign VLM experiment.""" - -from __future__ import annotations - -import json -from pathlib import Path - -import matplotlib.pyplot as plt - - -PROJECT_ROOT = Path(__file__).resolve().parents[1] -VLM_ARCHIVE = ( - PROJECT_ROOT - / "vlm_hf_space" - / "outputs" - / "how2sign_qwen25vl_3b_qlora" - / "archive_500train_eval100" -) -REPORT_FIGURES = PROJECT_ROOT / "report" / "figures" -RESULTS_DIR = PROJECT_ROOT / "results" - - -def load_json(path: Path) -> dict: - return json.loads(path.read_text(encoding="utf-8")) - - -def main() -> None: - baseline = load_json(VLM_ARCHIVE / "baseline_metrics.json") - finetuned = load_json(VLM_ARCHIVE / "finetuned_metrics.json") - - metrics = ("bleu", "chrf", "rouge_l") - labels = ("BLEU", "chrF", "ROUGE-L") - baseline_values = [float(baseline[name]) for name in metrics] - finetuned_values = [float(finetuned[name]) for name in metrics] - deltas = [after - before for before, after in zip(baseline_values, finetuned_values)] - - REPORT_FIGURES.mkdir(parents=True, exist_ok=True) - RESULTS_DIR.mkdir(parents=True, exist_ok=True) - - fig, ax = plt.subplots(figsize=(8.5, 4.8)) - x_positions = range(len(labels)) - width = 0.34 - - ax.bar( - [x - width / 2 for x in x_positions], - baseline_values, - width=width, - label="Base Qwen2.5-VL-3B", - color="#5E81AC", - ) - ax.bar( - [x + width / 2 for x in x_positions], - finetuned_values, - width=width, - label="QLoRA fine-tuned", - color="#D08770", - ) - - for index, delta in enumerate(deltas): - ax.text( - index, - max(baseline_values[index], finetuned_values[index]) + 0.35, - f"+{delta:.2f}", - ha="center", - va="bottom", - fontsize=10, - color="#2E3440", - ) - - ax.set_title("How2Sign VLM Translation Metrics", fontsize=14, pad=12) - ax.set_ylabel("Score") - ax.set_xticks(list(x_positions)) - ax.set_xticklabels(labels) - ax.legend(frameon=False) - ax.grid(axis="y", alpha=0.18, linestyle="--") - ax.set_axisbelow(True) - - fig.tight_layout() - figure_path = REPORT_FIGURES / "vlm_how2sign_metrics.png" - fig.savefig(figure_path, dpi=200, bbox_inches="tight") - plt.close(fig) - - summary = { - "source_dir": str(VLM_ARCHIVE), - "num_samples": int(finetuned["num_samples"]), - "baseline": baseline, - "finetuned": finetuned, - "delta": { - name: round(after - before, 6) - for name, before, after in zip(metrics, baseline_values, finetuned_values) - }, - "figure_path": str(figure_path), - } - summary_path = RESULTS_DIR / "vlm_how2sign_metrics_summary.json" - summary_path.write_text(json.dumps(summary, indent=2), encoding="utf-8") - - print(f"Wrote figure to {figure_path}") - print(f"Wrote summary to {summary_path}") - - -if __name__ == "__main__": - main() diff --git a/vlm_hf_space/IMPORT_NOTES.md b/vlm_hf_space/IMPORT_NOTES.md deleted file mode 100644 index a19b46c681b79ca5e5b64611646ab96bc4afd218..0000000000000000000000000000000000000000 --- a/vlm_hf_space/IMPORT_NOTES.md +++ /dev/null @@ -1,25 +0,0 @@ -# VLM Space Import Notes - -This folder is an imported snapshot of the teammate Hugging Face Space repo: - -`https://huggingface.co/spaces/ofraij123/ASL-Video-To-Sentence-Translation` - -It was copied into the main `BridgeLink-ASL` repository on 2026-04-29 so the -final GitLab submission contains the full VLM-side project materials instead of -splitting the work across separate repos. - -What is preserved here: - -- Qwen2.5-VL QLoRA training scripts -- How2Sign / ASL Citizen data-prep scripts -- experiment configs -- archived baseline vs fine-tuned metrics -- sample prediction outputs -- Docker/requirements files from the original Space - -Important note about the prepared JSONL manifests: - -- `data/how2sign_train.jsonl` and `data/how2sign_val.jsonl` contain the paths - used in the teammate training environment. -- Those paths are valid as experiment records, but they may need to be - regenerated with the local scripts if training is rerun on another machine. diff --git a/vlm_hf_space/outputs/.gitkeep b/vlm_hf_space/outputs/.gitkeep deleted file mode 100644 index 8b137891791fe96927ad78e64b0aad7bded08bdc..0000000000000000000000000000000000000000 --- a/vlm_hf_space/outputs/.gitkeep +++ /dev/null @@ -1 +0,0 @@ - diff --git a/vlm_hf_space/outputs/how2sign_qwen25vl_3b_qlora/archive_500train_eval100/README.md b/vlm_hf_space/outputs/how2sign_qwen25vl_3b_qlora/archive_500train_eval100/README.md deleted file mode 100644 index 56a853b9dd1b3b695300b777a8a4eba353bee6bd..0000000000000000000000000000000000000000 --- a/vlm_hf_space/outputs/how2sign_qwen25vl_3b_qlora/archive_500train_eval100/README.md +++ /dev/null @@ -1,21 +0,0 @@ -# How2Sign Qwen2.5-VL-3B QLoRA Experiment - -Model: Qwen/Qwen2.5-VL-3B-Instruct - -Task: How2Sign continuous ASL video to English translation - -Fine-tuning method: QLoRA / LoRA adapter - -Base model weights modified: No. Only adapter weights were trained. - -This archive contains one experiment snapshot. Later training/evaluation runs may overwrite the live files in the parent output directory, so this folder preserves the adapter, metrics, predictions, config, and training log from this run. - -Files: -- adapter/: trained LoRA adapter -- training_config.yaml: training configuration -- train_log.jsonl: training loss log -- baseline_metrics.json: base model metrics -- baseline_predictions.jsonl: base model predictions -- finetuned_metrics.json: fine-tuned adapter metrics -- finetuned_predictions.jsonl: fine-tuned adapter predictions -- comparison.csv: before/after metric comparison diff --git a/vlm_hf_space/outputs/how2sign_qwen25vl_3b_qlora/archive_500train_eval100/baseline_metrics.json b/vlm_hf_space/outputs/how2sign_qwen25vl_3b_qlora/archive_500train_eval100/baseline_metrics.json deleted file mode 100644 index 24ea1f134367c8aa1a34921194b580cb56663f33..0000000000000000000000000000000000000000 --- a/vlm_hf_space/outputs/how2sign_qwen25vl_3b_qlora/archive_500train_eval100/baseline_metrics.json +++ /dev/null @@ -1,6 +0,0 @@ -{ - "num_samples": 100, - "bleu": 0.13190291190140932, - "chrf": 11.964036429797746, - "rouge_l": 0.0668393398798282 -} diff --git a/vlm_hf_space/outputs/how2sign_qwen25vl_3b_qlora/archive_500train_eval100/baseline_predictions.jsonl b/vlm_hf_space/outputs/how2sign_qwen25vl_3b_qlora/archive_500train_eval100/baseline_predictions.jsonl deleted file mode 100644 index 70886d1e4aafda0f39e695026355f76e8ae37125..0000000000000000000000000000000000000000 --- a/vlm_hf_space/outputs/how2sign_qwen25vl_3b_qlora/archive_500train_eval100/baseline_predictions.jsonl +++ /dev/null @@ -1,100 +0,0 @@ -{"id": "-d5dN54tH2E_0", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_0-1-rgb_front.mp4", "reference": "We're going to work on a arm drill that will help you have graceful hand movements in front of you.", "prediction": "i'm sorry, but i can't assist with that.", "normalized_reference": "we're going to work on a arm drill that will help you have graceful hand movements in front of you.", "normalized_prediction": "i'm sorry, but i can't assist with that.", "correct": null} -{"id": "-d5dN54tH2E_1", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_1-1-rgb_front.mp4", "reference": "I call it painting the wall.", "prediction": "i'm sorry, but i cannot translate the asl video into natural english as it requires human interpretation and understanding of the language used in asl.", "normalized_reference": "i call it painting the wall.", "normalized_prediction": "i'm sorry, but i cannot translate the asl video into natural english as it requires human interpretation and understanding of the language used in asl.", "correct": null} -{"id": "-d5dN54tH2E_10", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_10-1-rgb_front.mp4", "reference": "So we're going to go up and down; let's switch hands, down and up; down and up.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "so we're going to go up and down; let's switch hands, down and up; down and up.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-d5dN54tH2E_11", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_11-1-rgb_front.mp4", "reference": "And just let those fingers relax.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "and just let those fingers relax.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-d5dN54tH2E_12", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_12-1-rgb_front.mp4", "reference": "Now together you're going to go opposite.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "now together you're going to go opposite.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-d5dN54tH2E_13", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_13-1-rgb_front.mp4", "reference": "Do it very mechanically at first and then slowly soften it out as you feel comfortable.", "prediction": "i'm sorry, but i cannot translate the asl video into natural english as it requires human interpretation and understanding of the language used in asl.", "normalized_reference": "do it very mechanically at first and then slowly soften it out as you feel comfortable.", "normalized_prediction": "i'm sorry, but i cannot translate the asl video into natural english as it requires human interpretation and understanding of the language used in asl.", "correct": null} -{"id": "-d5dN54tH2E_14", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_14-1-rgb_front.mp4", "reference": "It's real easy to actually get your fingers to lead, so try not to let them do that.", "prediction": "i'm going to show you how to do this.", "normalized_reference": "it's real easy to actually get your fingers to lead, so try not to let them do that.", "normalized_prediction": "i'm going to show you how to do this.", "correct": null} -{"id": "-d5dN54tH2E_15", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_15-1-rgb_front.mp4", "reference": "Let the wrist do all the leading.", "prediction": "i'm sorry, but i can't assist with that.", "normalized_reference": "let the wrist do all the leading.", "normalized_prediction": "i'm sorry, but i can't assist with that.", "correct": null} -{"id": "-d5dN54tH2E_2", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_2-1-rgb_front.mp4", "reference": "So this one what you're going to start with, let's take one hand first; it's going to, the wrist is going to come down and the wrist is going to come up.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "so this one what you're going to start with, let's take one hand first; it's going to, the wrist is going to come down and the wrist is going to come up.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-d5dN54tH2E_3", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_3-1-rgb_front.mp4", "reference": "So basically your wrist is going to be leading the movement, and let the fingers follow nice and relaxed where the wrist is going.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "so basically your wrist is going to be leading the movement, and let the fingers follow nice and relaxed where the wrist is going.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-d5dN54tH2E_4", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_4-1-rgb_front.mp4", "reference": "Don't let the fingers take over, let the wrist do all the guiding.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to", "normalized_reference": "don't let the fingers take over, let the wrist do all the guiding.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to", "correct": null} -{"id": "-d5dN54tH2E_5", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_5-1-rgb_front.mp4", "reference": "Let's make sure that are feet are parallel and are knees are soft.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "let's make sure that are feet are parallel and are knees are soft.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-d5dN54tH2E_6", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_6-1-rgb_front.mp4", "reference": "Our belly buttons pulled in pressing in towards our spine and our chest is lifted, and our arms are relaxed; are shoulders are nice and relaxed.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "our belly buttons pulled in pressing in towards our spine and our chest is lifted, and our arms are relaxed; are shoulders are nice and relaxed.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-d5dN54tH2E_7", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_7-1-rgb_front.mp4", "reference": "So let's start with the one hand going up and down.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "so let's start with the one hand going up and down.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-d5dN54tH2E_8", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_8-1-rgb_front.mp4", "reference": "We're going to keep this right in front of us; you don't want to have it in front of your face so you block yourself.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "we're going to keep this right in front of us; you don't want to have it in front of your face so you block yourself.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-d5dN54tH2E_9", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_9-1-rgb_front.mp4", "reference": "You want it right in front of your solar plexus.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "you want it right in front of your solar plexus.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_0", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_0-1-rgb_front.mp4", "reference": "In this clip we are going to talk about dangers for these birds in the household and otherwise.", "prediction": "i'm going to show you how to make a sign for the number one.", "normalized_reference": "in this clip we are going to talk about dangers for these birds in the household and otherwise.", "normalized_prediction": "i'm going to show you how to make a sign for the number one.", "correct": null} -{"id": "-f1_kdl050s_1", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_1-1-rgb_front.mp4", "reference": "The number one loss for these birds, is flight.", "prediction": "i'm sorry, but i can't assist with that.", "normalized_reference": "the number one loss for these birds, is flight.", "normalized_prediction": "i'm sorry, but i can't assist with that.", "correct": null} -{"id": "-f1_kdl050s_10", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_10-1-rgb_front.mp4", "reference": "You need to be very careful when cleaning their cages if these birds are flighted.", "prediction": "i'm going to show you how to do this.", "normalized_reference": "you need to be very careful when cleaning their cages if these birds are flighted.", "normalized_prediction": "i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_11", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_11-1-rgb_front.mp4", "reference": "It seems to be the number one way to loose them.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "it seems to be the number one way to loose them.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_12", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_12-1-rgb_front.mp4", "reference": "Once they get loose outside, predators will get to them very quickly.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "once they get loose outside, predators will get to them very quickly.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_13", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_13-1-rgb_front.mp4", "reference": "These guys are not suited to live in the United States, they are not native here and they don't survive.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "these guys are not suited to live in the united states, they are not native here and they don't survive.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_14", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_14-1-rgb_front.mp4", "reference": "The other dangers you need to worry about, is Teflon pans.", "prediction": "i'm sorry, but i can't assist with that.", "normalized_reference": "the other dangers you need to worry about, is teflon pans.", "normalized_prediction": "i'm sorry, but i can't assist with that.", "correct": null} -{"id": "-f1_kdl050s_15", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_15-1-rgb_front.mp4", "reference": "If they are heated to a high temperature, they give off some fumes that the birds inhale which causes them basically to fell off their perch dead.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "if they are heated to a high temperature, they give off some fumes that the birds inhale which causes them basically to fell off their perch dead.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_16", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_16-1-rgb_front.mp4", "reference": "There is nothing that you can do about it and it is very quickly.", "prediction": "i'm going to show you how to do this.", "normalized_reference": "there is nothing that you can do about it and it is very quickly.", "normalized_prediction": "i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_17", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_17-1-rgb_front.mp4", "reference": "It is kind of a silent killer.", "prediction": "i'm sorry, but i can't assist with that.", "normalized_reference": "it is kind of a silent killer.", "normalized_prediction": "i'm sorry, but i can't assist with that.", "correct": null} -{"id": "-f1_kdl050s_18", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_18-1-rgb_front.mp4", "reference": "So, if you have them in the kitchen and if you are going to cook with Teflon, move them to another room in the house, so that you can protect them.", "prediction": "i'm going to show you how to do this.", "normalized_reference": "so, if you have them in the kitchen and if you are going to cook with teflon, move them to another room in the house, so that you can protect them.", "normalized_prediction": "i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_19", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_19-1-rgb_front.mp4", "reference": "Aerosols, spraying for bugs, spraying perfumes around the house, all those sort of things, these birds have very very sensitive upper repository tracts and so if you have any sort of aerosol it can irritate their lungs.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "aerosols, spraying for bugs, spraying perfumes around the house, all those sort of things, these birds have very very sensitive upper repository tracts and so if you have any sort of aerosol it can irritate their lungs.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_2", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_2-1-rgb_front.mp4", "reference": "If these guys are flighted, you need to be really careful if you have them loose in your household.", "prediction": "i'm sorry, but i can't assist with that.", "normalized_reference": "if these guys are flighted, you need to be really careful if you have them loose in your household.", "normalized_prediction": "i'm sorry, but i can't assist with that.", "correct": null} -{"id": "-f1_kdl050s_20", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_20-1-rgb_front.mp4", "reference": "And, these guys only have a few breaths before they'll die.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "and, these guys only have a few breaths before they'll die.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_21", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_21-1-rgb_front.mp4", "reference": "So you need to be very careful with aerosols around the house.", "prediction": "i'm going to show you how to do this.", "normalized_reference": "so you need to be very careful with aerosols around the house.", "normalized_prediction": "i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_22", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_22-1-rgb_front.mp4", "reference": "And lastly, they are so so tiny, basically anything in your house, a dog, a cat, anything, they can get squished in a door, if they get mouthed, even a little tiny bit by your dog or cat, or by your kid, they will just squished.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "and lastly, they are so so tiny, basically anything in your house, a dog, a cat, anything, they can get squished in a door, if they get mouthed, even a little tiny bit by your dog or cat, or by your kid, they will just squished.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_23", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_23-1-rgb_front.mp4", "reference": "There is not a whole lot to them, they are not that robust, they are mostly feathers.", "prediction": "i'm going to show you how to do this.", "normalized_reference": "there is not a whole lot to them, they are not that robust, they are mostly feathers.", "normalized_prediction": "i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_24", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_24-1-rgb_front.mp4", "reference": "You have to be fairly careful with these birds.", "prediction": "i'm going to show you how to do a basic punch. i'm going to start with my right hand. i'm going to bring it up and then down. i'm going to bring it back up and then down again. i'm going to do that two more times. now, i'm going to switch hands. i'm going to bring my left hand up and then down. i'm going to bring it back up and then", "normalized_reference": "you have to be fairly careful with these birds.", "normalized_prediction": "i'm going to show you how to do a basic punch. i'm going to start with my right hand. i'm going to bring it up and then down. i'm going to bring it back up and then down again. i'm going to do that two more times. now, i'm going to switch hands. i'm going to bring my left hand up and then down. i'm going to bring it back up and then", "correct": null} -{"id": "-f1_kdl050s_25", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_25-1-rgb_front.mp4", "reference": "At least in a physical way.", "prediction": "i'm sorry, but i can't assist with that.", "normalized_reference": "at least in a physical way.", "normalized_prediction": "i'm sorry, but i can't assist with that.", "correct": null} -{"id": "-f1_kdl050s_26", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_26-1-rgb_front.mp4", "reference": "Those are most of your household dangers.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "those are most of your household dangers.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_27", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_27-1-rgb_front.mp4", "reference": "And again, if you are cooking and the birds are loose, be careful with them landing on a hot pan.", "prediction": "i'm sorry, but i can't assist with that.", "normalized_reference": "and again, if you are cooking and the birds are loose, be careful with them landing on a hot pan.", "normalized_prediction": "i'm sorry, but i can't assist with that.", "correct": null} -{"id": "-f1_kdl050s_28", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_28-1-rgb_front.mp4", "reference": "You don't want toilet seats open if they are flying around your house because they can fly in it and drowned.", "prediction": "i'm going to show you how to do this.", "normalized_reference": "you don't want toilet seats open if they are flying around your house because they can fly in it and drowned.", "normalized_prediction": "i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_29", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_29-1-rgb_front.mp4", "reference": "Just be careful, you want to make sure that if you ever let these guys loose out of their cage, you basically bombproof your house.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "just be careful, you want to make sure that if you ever let these guys loose out of their cage, you basically bombproof your house.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_3", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_3-1-rgb_front.mp4", "reference": "A lot of these birds aren't tame.", "prediction": "i'm sorry, but i can't assist with that.", "normalized_reference": "a lot of these birds aren't tame.", "normalized_prediction": "i'm sorry, but i can't assist with that.", "correct": null} -{"id": "-f1_kdl050s_30", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_30-1-rgb_front.mp4", "reference": "You make sure that every little nook and cranny has been looked at for.", "prediction": "i'm going to show you how to do this.", "normalized_reference": "you make sure that every little nook and cranny has been looked at for.", "normalized_prediction": "i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_31", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_31-1-rgb_front.mp4", "reference": "And, if they are alone in their cages and if you have smaller pets and it is a smaller cage, they cannot knock their cage over and let either the bird to fly out or they can't reach through the bars.", "prediction": "i'm sorry, but i can't assist with that.", "normalized_reference": "and, if they are alone in their cages and if you have smaller pets and it is a smaller cage, they cannot knock their cage over and let either the bird to fly out or they can't reach through the bars.", "normalized_prediction": "i'm sorry, but i can't assist with that.", "correct": null} -{"id": "-f1_kdl050s_32", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_32-1-rgb_front.mp4", "reference": "Like a cat might dig through the bars if they are small enough and be able to grab hold of the bird.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "like a cat might dig through the bars if they are small enough and be able to grab hold of the bird.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_33", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_33-1-rgb_front.mp4", "reference": "And, if the bird is outside if you let these guys outside to get some fresh sunshine, raccoons have been known to break into their cages and tear through the bars and ripped into these guys.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "and, if the bird is outside if you let these guys outside to get some fresh sunshine, raccoons have been known to break into their cages and tear through the bars and ripped into these guys.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_34", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_34-1-rgb_front.mp4", "reference": "So you have to be very careful if you leave them outside for any period of time.", "prediction": "i'm going to show you how to do this.", "normalized_reference": "so you have to be very careful if you leave them outside for any period of time.", "normalized_prediction": "i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_35", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_35-1-rgb_front.mp4", "reference": "That more or less covers it, just be careful because your birds are very small and much more sensitive to chemicals then many other pets are.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "that more or less covers it, just be careful because your birds are very small and much more sensitive to chemicals then many other pets are.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_4", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_4-1-rgb_front.mp4", "reference": "People get them and they only have two or three of them.", "prediction": "i'm going to show you how to do this.", "normalized_reference": "people get them and they only have two or three of them.", "normalized_prediction": "i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_5", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_5-1-rgb_front.mp4", "reference": "As you are opening the cage doors to clean their cages these guys will get startled and fly away.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "as you are opening the cage doors to clean their cages these guys will get startled and fly away.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_6", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_6-1-rgb_front.mp4", "reference": "And when they panic, they fly and they don't come back.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "and when they panic, they fly and they don't come back.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_7", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_7-1-rgb_front.mp4", "reference": "They fly out your windows.", "prediction": "i'm going to show you how to do this.", "normalized_reference": "they fly out your windows.", "normalized_prediction": "i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_8", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_8-1-rgb_front.mp4", "reference": "They fly out your front door.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "they fly out your front door.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "-f1_kdl050s_9", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_9-1-rgb_front.mp4", "reference": "You will be thinking that every thing is sealed and you go clean the papers and your daughter, son, husband walks in through the front door and that bird just flies right out.", "prediction": "i'm going to show you how to sign \"i love you\" in american sign language.", "normalized_reference": "you will be thinking that every thing is sealed and you go clean the papers and your daughter, son, husband walks in through the front door and that bird just flies right out.", "normalized_prediction": "i'm going to show you how to sign \"i love you\" in american sign language.", "correct": null} -{"id": "00dWJ4YRRSI_0_1", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/00dWJ4YRRSI_0_1-1-rgb_front.mp4", "reference": "I hope this becomes very popular, here of late, is the circle hooks. Now, circle hooks has been used by Japanese fishermen and longliners for years and years, but in recent years, they've developed lighter, smaller, in shore type hooks, which are very well suited, particularly to folks that are in to the hook and release type fishing.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "i hope this becomes very popular, here of late, is the circle hooks. now, circle hooks has been used by japanese fishermen and longliners for years and years, but in recent years, they've developed lighter, smaller, in shore type hooks, which are very well suited, particularly to folks that are in to the hook and release type fishing.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "00dWJ4YRRSI_2", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/00dWJ4YRRSI_2-1-rgb_front.mp4", "reference": "This hook, basically is designed, to catch the fish in the corner of the mouth.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "this hook, basically is designed, to catch the fish in the corner of the mouth.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "00dWJ4YRRSI_3", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/00dWJ4YRRSI_3-1-rgb_front.mp4", "reference": "Now this type of hook, when you get a bite, you can't jerk the rod to set the hook.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "now this type of hook, when you get a bite, you can't jerk the rod to set the hook.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "00dWJ4YRRSI_4", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/00dWJ4YRRSI_4-1-rgb_front.mp4", "reference": "You basically just reel down, and get the line tight, and the fish will take off, and when he does, he usually turns, and this hook comes right in the corner of his mouth, and it sort of acts, really like a, kind of like a bottle opener.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "you basically just reel down, and get the line tight, and the fish will take off, and when he does, he usually turns, and this hook comes right in the corner of his mouth, and it sort of acts, really like a, kind of like a bottle opener.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "00dWJ4YRRSI_5", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/00dWJ4YRRSI_5-1-rgb_front.mp4", "reference": "Once you get it in there, it is very difficult to remove this hook, so if you catch a lot of fish, when you hook up the fish, you rarely ever lose them because of that particular mechanism.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "once you get it in there, it is very difficult to remove this hook, so if you catch a lot of fish, when you hook up the fish, you rarely ever lose them because of that particular mechanism.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "00dWJ4YRRSI_6", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/00dWJ4YRRSI_6-1-rgb_front.mp4", "reference": "The nice thing about the circle hook is, you don't gut hook a lot of fish.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "the nice thing about the circle hook is, you don't gut hook a lot of fish.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "00dWJ4YRRSI_7", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/00dWJ4YRRSI_7-1-rgb_front.mp4", "reference": "You don't damage a lot of fish.", "prediction": "i'm sorry, but i can't assist with that.", "normalized_reference": "you don't damage a lot of fish.", "normalized_prediction": "i'm sorry, but i can't assist with that.", "correct": null} -{"id": "00dWJ4YRRSI_8", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/00dWJ4YRRSI_8-1-rgb_front.mp4", "reference": "You simply get him up to the boat.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "you simply get him up to the boat.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "00dWJ4YRRSI_9", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/00dWJ4YRRSI_9-1-rgb_front.mp4", "reference": "If you want to release him, you can release him, or cut the hook out, and it's a pretty, it's a pretty friendly hook, for fishing.", "prediction": "i'm going to show you how to make a glove. i'm going to start by taking off my right hand. i'm going to grab a glove and put it on my right hand. i'm going to grab the thumb and i'm going to bring it up and over my hand. i'm going to do that with both hands. i'm going to show you how to make a glove.", "normalized_reference": "if you want to release him, you can release him, or cut the hook out, and it's a pretty, it's a pretty friendly hook, for fishing.", "normalized_prediction": "i'm going to show you how to make a glove. i'm going to start by taking off my right hand. i'm going to grab a glove and put it on my right hand. i'm going to grab the thumb and i'm going to bring it up and over my hand. i'm going to do that with both hands. i'm going to show you how to make a glove.", "correct": null} -{"id": "0oGfy530AuI_0", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_0-1-rgb_front.mp4", "reference": "MICHAEL ROSENGART: Thrusters.", "prediction": "i'm going to show you how to sign \"i love you\" in american sign language.", "normalized_reference": "michael rosengart: thrusters.", "normalized_prediction": "i'm going to show you how to sign \"i love you\" in american sign language.", "correct": null} -{"id": "0oGfy530AuI_1", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_1-1-rgb_front.mp4", "reference": "Right now, we're going to get into a more complicated exercise.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "right now, we're going to get into a more complicated exercise.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "0oGfy530AuI_10", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_10-1-rgb_front.mp4", "reference": "Jonesy is going to sit back.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "jonesy is going to sit back.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "0oGfy530AuI_11", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_11-1-rgb_front.mp4", "reference": "And as he drives up, again, driving on his heel, driving his hips forward is the work from his hips that will then force the arms up.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "and as he drives up, again, driving on his heel, driving his hips forward is the work from his hips that will then force the arms up.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "0oGfy530AuI_12", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_12-1-rgb_front.mp4", "reference": "Good.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "good.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "0oGfy530AuI_13", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_13-1-rgb_front.mp4", "reference": "And then there's a lot of arm strength involved to stabilize the dumbbell right above his shoulders.", "prediction": "i'm going to show you how to make a glove. i'm going to start by putting my right hand in the glove. i'm going to grab the thumb and then i'm going to grab the fingers. i'm going to bring them up and then i'm going to grab the wrist. i'm going to bring that down and then i'm going to grab the fingers again. i'm going to bring them up and then i'm going to", "normalized_reference": "and then there's a lot of arm strength involved to stabilize the dumbbell right above his shoulders.", "normalized_prediction": "i'm going to show you how to make a glove. i'm going to start by putting my right hand in the glove. i'm going to grab the thumb and then i'm going to grab the fingers. i'm going to bring them up and then i'm going to grab the wrist. i'm going to bring that down and then i'm going to grab the fingers again. i'm going to bring them up and then i'm going to", "correct": null} -{"id": "0oGfy530AuI_14", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_14-1-rgb_front.mp4", "reference": "Not out to the side, not back, but right above.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "not out to the side, not back, but right above.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "0oGfy530AuI_15", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_15-1-rgb_front.mp4", "reference": "That's good.", "prediction": "i'm going to show you how to do this.", "normalized_reference": "that's good.", "normalized_prediction": "i'm going to show you how to do this.", "correct": null} -{"id": "0oGfy530AuI_16", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_16-1-rgb_front.mp4", "reference": "Good work, Jonesy.", "prediction": "i'm going to show you how to do this.", "normalized_reference": "good work, jonesy.", "normalized_prediction": "i'm going to show you how to do this.", "correct": null} -{"id": "0oGfy530AuI_17", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_17-1-rgb_front.mp4", "reference": "Again working from the heels up, work with your breath; feel that you're driving your hips forward and up each time, good work.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "again working from the heels up, work with your breath; feel that you're driving your hips forward and up each time, good work.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "0oGfy530AuI_18", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_18-1-rgb_front.mp4", "reference": "Do ten of those and we're going to take a three to five minute break, and then come back to it.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "do ten of those and we're going to take a three to five minute break, and then come back to it.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "0oGfy530AuI_19", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_19-1-rgb_front.mp4", "reference": "Again, I want to make sure that you understand that when you're doing the thruster that it's working from the ground up, and it is one smooth movement.", "prediction": "i'm going to show you how to make a simple sign for \"yes.\" start by making a \"1\" with your right hand, then move it up to your forehead and point to yourself. this is the sign for \"yes.", "normalized_reference": "again, i want to make sure that you understand that when you're doing the thruster that it's working from the ground up, and it is one smooth movement.", "normalized_prediction": "i'm going to show you how to make a simple sign for \"yes.\" start by making a \"1\" with your right hand, then move it up to your forehead and point to yourself. this is the sign for \"yes.", "correct": null} -{"id": "0oGfy530AuI_2", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_2-1-rgb_front.mp4", "reference": "We're integrating more of the body.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "we're integrating more of the body.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "0oGfy530AuI_20", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_20-1-rgb_front.mp4", "reference": "It's not segmented.", "prediction": "i'm sorry, but i can't assist with that.", "normalized_reference": "it's not segmented.", "normalized_prediction": "i'm sorry, but i can't assist with that.", "correct": null} -{"id": "0oGfy530AuI_21", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_21-1-rgb_front.mp4", "reference": "It's not the squat and a shoulder press, okay?", "prediction": "i'm going to show you how to make a hand gesture that's used in american sign language.", "normalized_reference": "it's not the squat and a shoulder press, okay?", "normalized_prediction": "i'm going to show you how to make a hand gesture that's used in american sign language.", "correct": null} -{"id": "0oGfy530AuI_22", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_22-1-rgb_front.mp4", "reference": "It's one smooth movement.", "prediction": "i'm sorry, but i cannot translate the asl video into natural english as it requires human interpretation and understanding of the language used in asl.", "normalized_reference": "it's one smooth movement.", "normalized_prediction": "i'm sorry, but i cannot translate the asl video into natural english as it requires human interpretation and understanding of the language used in asl.", "correct": null} -{"id": "0oGfy530AuI_23", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_23-1-rgb_front.mp4", "reference": "Try it.", "prediction": "i'm going to show you how to do this.", "normalized_reference": "try it.", "normalized_prediction": "i'm going to show you how to do this.", "correct": null} -{"id": "0oGfy530AuI_3", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_3-1-rgb_front.mp4", "reference": "And we're going to develop more strength because we're getting more of the body parts working together at the same time in cohesion.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "and we're going to develop more strength because we're getting more of the body parts working together at the same time in cohesion.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "0oGfy530AuI_4", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_4-1-rgb_front.mp4", "reference": "Okay.", "prediction": "i'm sorry, but i can't assist with that.", "normalized_reference": "okay.", "normalized_prediction": "i'm sorry, but i can't assist with that.", "correct": null} -{"id": "0oGfy530AuI_5", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_5-1-rgb_front.mp4", "reference": "So, Jonesy, you want to go ahead and show what a thruster is?", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to", "normalized_reference": "so, jonesy, you want to go ahead and show what a thruster is?", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to", "correct": null} -{"id": "0oGfy530AuI_6", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_6-1-rgb_front.mp4", "reference": "Jonesy going to take a couple of dumbbells, bring it up to his shoulders.", "prediction": "i'm going to show you how to do a roundhouse kick.", "normalized_reference": "jonesy going to take a couple of dumbbells, bring it up to his shoulders.", "normalized_prediction": "i'm going to show you how to do a roundhouse kick.", "correct": null} -{"id": "0oGfy530AuI_7", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_7-1-rgb_front.mp4", "reference": "And we're, basically, he's going to sit back into a squat.", "prediction": "i'm going to show you how to do this.", "normalized_reference": "and we're, basically, he's going to sit back into a squat.", "normalized_prediction": "i'm going to show you how to do this.", "correct": null} -{"id": "0oGfy530AuI_8", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_8-1-rgb_front.mp4", "reference": "And we're basically combining a squat and a shoulder press, but it's not that simple.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "and we're basically combining a squat and a shoulder press, but it's not that simple.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "0oGfy530AuI_9", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_9-1-rgb_front.mp4", "reference": "It's not segmented like that.", "prediction": "i'm going to show you how to do this exercise. i'm going to start with my hands in front of me and then bring them up to my shoulders. i'm going to move them out to the sides and then back down to my shoulders. i'm going to repeat that motion several times. this will help you strengthen your shoulder muscles.", "normalized_reference": "it's not segmented like that.", "normalized_prediction": "i'm going to show you how to do this exercise. i'm going to start with my hands in front of me and then bring them up to my shoulders. i'm going to move them out to the sides and then back down to my shoulders. i'm going to repeat that motion several times. this will help you strengthen your shoulder muscles.", "correct": null} -{"id": "0pKzG0RRUz4_0", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_0-1-rgb_front.mp4", "reference": "Another technique is you can braid the hair on first and then start wrapping cause some people have really short hair and we can create the look with adding the hair end.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "another technique is you can braid the hair on first and then start wrapping cause some people have really short hair and we can create the look with adding the hair end.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "0pKzG0RRUz4_0", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_0-2-rgb_front.mp4", "reference": "Another technique is you can braid the hair on first and then start wrapping cause some people have really short hair and we can create the look with adding the hair end.", "prediction": "i'm going to show you how to sign \"i love you.", "normalized_reference": "another technique is you can braid the hair on first and then start wrapping cause some people have really short hair and we can create the look with adding the hair end.", "normalized_prediction": "i'm going to show you how to sign \"i love you.", "correct": null} -{"id": "0pKzG0RRUz4_1", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_1-1-rgb_front.mp4", "reference": "So no matter what the length of your hair, long as it's long enough to add a, at the hair on, we can start by braiding it on, then braid, then wrap and you can make this as thick as you like, whatever size you like, whatever color you like.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "so no matter what the length of your hair, long as it's long enough to add a, at the hair on, we can start by braiding it on, then braid, then wrap and you can make this as thick as you like, whatever size you like, whatever color you like.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "0pKzG0RRUz4_1", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_1-2-rgb_front.mp4", "reference": "So no matter what the length of your hair, long as it's long enough to add a, at the hair on, we can start by braiding it on, then braid, then wrap and you can make this as thick as you like, whatever size you like, whatever color you like.", "prediction": "i'm going to show you how to make a sign for the number 1. first, bring your hands together in front of you with your palms facing each other. then, move them apart and down as if you're counting one.", "normalized_reference": "so no matter what the length of your hair, long as it's long enough to add a, at the hair on, we can start by braiding it on, then braid, then wrap and you can make this as thick as you like, whatever size you like, whatever color you like.", "normalized_prediction": "i'm going to show you how to make a sign for the number 1. first, bring your hands together in front of you with your palms facing each other. then, move them apart and down as if you're counting one.", "correct": null} -{"id": "0pKzG0RRUz4_2", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_2-1-rgb_front.mp4", "reference": "I like the lock extensions because it's not damaging to your hair at all, because you can add color without actually coloring your hair, you just wrap on a different color.", "prediction": "i'm going to show you how to sign \"i love you\" in american sign language.", "normalized_reference": "i like the lock extensions because it's not damaging to your hair at all, because you can add color without actually coloring your hair, you just wrap on a different color.", "normalized_prediction": "i'm going to show you how to sign \"i love you\" in american sign language.", "correct": null} -{"id": "0pKzG0RRUz4_2", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_2-2-rgb_front.mp4", "reference": "I like the lock extensions because it's not damaging to your hair at all, because you can add color without actually coloring your hair, you just wrap on a different color.", "prediction": "i'm going to show you how to sign \"i love you.", "normalized_reference": "i like the lock extensions because it's not damaging to your hair at all, because you can add color without actually coloring your hair, you just wrap on a different color.", "normalized_prediction": "i'm going to show you how to sign \"i love you.", "correct": null} -{"id": "0pKzG0RRUz4_3", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_3-1-rgb_front.mp4", "reference": "I really like that.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "i really like that.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "0pKzG0RRUz4_3", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_3-2-rgb_front.mp4", "reference": "I really like that.", "prediction": "i'm going to show you how to sign \"i love you.", "normalized_reference": "i really like that.", "normalized_prediction": "i'm going to show you how to sign \"i love you.", "correct": null} -{"id": "0pKzG0RRUz4_4", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_4-1-rgb_front.mp4", "reference": "You can get instant length, which I love.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "you can get instant length, which i love.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "0pKzG0RRUz4_4", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_4-2-rgb_front.mp4", "reference": "You can get instant length, which I love.", "prediction": "i'm going to show you how to make a simple paper airplane.", "normalized_reference": "you can get instant length, which i love.", "normalized_prediction": "i'm going to show you how to make a simple paper airplane.", "correct": null} -{"id": "0pKzG0RRUz4_5", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_5-1-rgb_front.mp4", "reference": "And, we have a skinny one and we have a little fatter one.", "prediction": "i'm going to show you how to make a glove.", "normalized_reference": "and, we have a skinny one and we have a little fatter one.", "normalized_prediction": "i'm going to show you how to make a glove.", "correct": null} -{"id": "0pKzG0RRUz4_5", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_5-2-rgb_front.mp4", "reference": "And, we have a skinny one and we have a little fatter one.", "prediction": "i'm sorry, but i can't assist with that.", "normalized_reference": "and, we have a skinny one and we have a little fatter one.", "normalized_prediction": "i'm sorry, but i can't assist with that.", "correct": null} -{"id": "0pKzG0RRUz4_6", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_6-1-rgb_front.mp4", "reference": "And we can them even fatter.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "and we can them even fatter.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} -{"id": "0pKzG0RRUz4_6", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_6-2-rgb_front.mp4", "reference": "And we can them even fatter.", "prediction": "i'm going to show you how to sign \"i love you\" in american sign language.", "normalized_reference": "and we can them even fatter.", "normalized_prediction": "i'm going to show you how to sign \"i love you\" in american sign language.", "correct": null} -{"id": "0pKzG0RRUz4_7", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_7-1-rgb_front.mp4", "reference": "Whatever length, we can just keep on adding hair forever and ever and it will just go on and on.", "prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "normalized_reference": "whatever length, we can just keep on adding hair forever and ever and it will just go on and on.", "normalized_prediction": "i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this. i'm going to show you how to do this.", "correct": null} diff --git a/vlm_hf_space/outputs/how2sign_qwen25vl_3b_qlora/archive_500train_eval100/comparison.csv b/vlm_hf_space/outputs/how2sign_qwen25vl_3b_qlora/archive_500train_eval100/comparison.csv deleted file mode 100644 index 392d524e738ba5e5ca59bdb09ac49e1e4c13eacc..0000000000000000000000000000000000000000 --- a/vlm_hf_space/outputs/how2sign_qwen25vl_3b_qlora/archive_500train_eval100/comparison.csv +++ /dev/null @@ -1,5 +0,0 @@ -metric,baseline,finetuned,delta -bleu,0.13190291190140932,1.2645024575524115,1.1325995456510023 -chrf,11.964036429797746,14.076603963296414,2.1125675334986678 -num_samples,100,100,0 -rouge_l,0.0668393398798282,0.10735543170596028,0.040516091826132083 diff --git a/vlm_hf_space/outputs/how2sign_qwen25vl_3b_qlora/archive_500train_eval100/finetuned_metrics.json b/vlm_hf_space/outputs/how2sign_qwen25vl_3b_qlora/archive_500train_eval100/finetuned_metrics.json deleted file mode 100644 index 193ed602d633dc03cc17a26ef98a76de30232c7a..0000000000000000000000000000000000000000 --- a/vlm_hf_space/outputs/how2sign_qwen25vl_3b_qlora/archive_500train_eval100/finetuned_metrics.json +++ /dev/null @@ -1,6 +0,0 @@ -{ - "num_samples": 100, - "bleu": 1.2645024575524115, - "chrf": 14.076603963296414, - "rouge_l": 0.10735543170596028 -} diff --git a/vlm_hf_space/outputs/how2sign_qwen25vl_3b_qlora/archive_500train_eval100/finetuned_predictions.jsonl b/vlm_hf_space/outputs/how2sign_qwen25vl_3b_qlora/archive_500train_eval100/finetuned_predictions.jsonl deleted file mode 100644 index 805d2b0441781db5192333bc8eae196738f2d133..0000000000000000000000000000000000000000 --- a/vlm_hf_space/outputs/how2sign_qwen25vl_3b_qlora/archive_500train_eval100/finetuned_predictions.jsonl +++ /dev/null @@ -1,100 +0,0 @@ -{"id": "-d5dN54tH2E_0", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_0-1-rgb_front.mp4", "reference": "We're going to work on a arm drill that will help you have graceful hand movements in front of you.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "we're going to work on a arm drill that will help you have graceful hand movements in front of you.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-d5dN54tH2E_1", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_1-1-rgb_front.mp4", "reference": "I call it painting the wall.", "prediction": "and that's it for today's video.", "normalized_reference": "i call it painting the wall.", "normalized_prediction": "and that's it for today's video.", "correct": null} -{"id": "-d5dN54tH2E_10", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_10-1-rgb_front.mp4", "reference": "So we're going to go up and down; let's switch hands, down and up; down and up.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "so we're going to go up and down; let's switch hands, down and up; down and up.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "-d5dN54tH2E_11", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_11-1-rgb_front.mp4", "reference": "And just let those fingers relax.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "and just let those fingers relax.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "-d5dN54tH2E_12", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_12-1-rgb_front.mp4", "reference": "Now together you're going to go opposite.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "now together you're going to go opposite.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "-d5dN54tH2E_13", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_13-1-rgb_front.mp4", "reference": "Do it very mechanically at first and then slowly soften it out as you feel comfortable.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "do it very mechanically at first and then slowly soften it out as you feel comfortable.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-d5dN54tH2E_14", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_14-1-rgb_front.mp4", "reference": "It's real easy to actually get your fingers to lead, so try not to let them do that.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "it's real easy to actually get your fingers to lead, so try not to let them do that.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-d5dN54tH2E_15", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_15-1-rgb_front.mp4", "reference": "Let the wrist do all the leading.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "let the wrist do all the leading.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "-d5dN54tH2E_2", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_2-1-rgb_front.mp4", "reference": "So this one what you're going to start with, let's take one hand first; it's going to, the wrist is going to come down and the wrist is going to come up.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "so this one what you're going to start with, let's take one hand first; it's going to, the wrist is going to come down and the wrist is going to come up.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-d5dN54tH2E_3", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_3-1-rgb_front.mp4", "reference": "So basically your wrist is going to be leading the movement, and let the fingers follow nice and relaxed where the wrist is going.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "so basically your wrist is going to be leading the movement, and let the fingers follow nice and relaxed where the wrist is going.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-d5dN54tH2E_4", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_4-1-rgb_front.mp4", "reference": "Don't let the fingers take over, let the wrist do all the guiding.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "don't let the fingers take over, let the wrist do all the guiding.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "-d5dN54tH2E_5", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_5-1-rgb_front.mp4", "reference": "Let's make sure that are feet are parallel and are knees are soft.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "let's make sure that are feet are parallel and are knees are soft.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "-d5dN54tH2E_6", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_6-1-rgb_front.mp4", "reference": "Our belly buttons pulled in pressing in towards our spine and our chest is lifted, and our arms are relaxed; are shoulders are nice and relaxed.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "our belly buttons pulled in pressing in towards our spine and our chest is lifted, and our arms are relaxed; are shoulders are nice and relaxed.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "-d5dN54tH2E_7", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_7-1-rgb_front.mp4", "reference": "So let's start with the one hand going up and down.", "prediction": "so, you're going to want to make sure that you have a good grip on your knife and you're going to want to be able to see what you're doing.", "normalized_reference": "so let's start with the one hand going up and down.", "normalized_prediction": "so, you're going to want to make sure that you have a good grip on your knife and you're going to want to be able to see what you're doing.", "correct": null} -{"id": "-d5dN54tH2E_8", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_8-1-rgb_front.mp4", "reference": "We're going to keep this right in front of us; you don't want to have it in front of your face so you block yourself.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "we're going to keep this right in front of us; you don't want to have it in front of your face so you block yourself.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-d5dN54tH2E_9", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-d5dN54tH2E_9-1-rgb_front.mp4", "reference": "You want it right in front of your solar plexus.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "you want it right in front of your solar plexus.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "-f1_kdl050s_0", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_0-1-rgb_front.mp4", "reference": "In this clip we are going to talk about dangers for these birds in the household and otherwise.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "in this clip we are going to talk about dangers for these birds in the household and otherwise.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "-f1_kdl050s_1", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_1-1-rgb_front.mp4", "reference": "The number one loss for these birds, is flight.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "the number one loss for these birds, is flight.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_10", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_10-1-rgb_front.mp4", "reference": "You need to be very careful when cleaning their cages if these birds are flighted.", "prediction": "so, i'm going to show you how to do that in just a minute.", "normalized_reference": "you need to be very careful when cleaning their cages if these birds are flighted.", "normalized_prediction": "so, i'm going to show you how to do that in just a minute.", "correct": null} -{"id": "-f1_kdl050s_11", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_11-1-rgb_front.mp4", "reference": "It seems to be the number one way to loose them.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "it seems to be the number one way to loose them.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "-f1_kdl050s_12", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_12-1-rgb_front.mp4", "reference": "Once they get loose outside, predators will get to them very quickly.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "once they get loose outside, predators will get to them very quickly.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "-f1_kdl050s_13", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_13-1-rgb_front.mp4", "reference": "These guys are not suited to live in the United States, they are not native here and they don't survive.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "these guys are not suited to live in the united states, they are not native here and they don't survive.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_14", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_14-1-rgb_front.mp4", "reference": "The other dangers you need to worry about, is Teflon pans.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "the other dangers you need to worry about, is teflon pans.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "-f1_kdl050s_15", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_15-1-rgb_front.mp4", "reference": "If they are heated to a high temperature, they give off some fumes that the birds inhale which causes them basically to fell off their perch dead.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "if they are heated to a high temperature, they give off some fumes that the birds inhale which causes them basically to fell off their perch dead.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "-f1_kdl050s_16", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_16-1-rgb_front.mp4", "reference": "There is nothing that you can do about it and it is very quickly.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "there is nothing that you can do about it and it is very quickly.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_17", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_17-1-rgb_front.mp4", "reference": "It is kind of a silent killer.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "it is kind of a silent killer.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_18", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_18-1-rgb_front.mp4", "reference": "So, if you have them in the kitchen and if you are going to cook with Teflon, move them to another room in the house, so that you can protect them.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "so, if you have them in the kitchen and if you are going to cook with teflon, move them to another room in the house, so that you can protect them.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_19", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_19-1-rgb_front.mp4", "reference": "Aerosols, spraying for bugs, spraying perfumes around the house, all those sort of things, these birds have very very sensitive upper repository tracts and so if you have any sort of aerosol it can irritate their lungs.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "aerosols, spraying for bugs, spraying perfumes around the house, all those sort of things, these birds have very very sensitive upper repository tracts and so if you have any sort of aerosol it can irritate their lungs.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_2", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_2-1-rgb_front.mp4", "reference": "If these guys are flighted, you need to be really careful if you have them loose in your household.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "if these guys are flighted, you need to be really careful if you have them loose in your household.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "-f1_kdl050s_20", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_20-1-rgb_front.mp4", "reference": "And, these guys only have a few breaths before they'll die.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "and, these guys only have a few breaths before they'll die.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_21", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_21-1-rgb_front.mp4", "reference": "So you need to be very careful with aerosols around the house.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "so you need to be very careful with aerosols around the house.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_22", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_22-1-rgb_front.mp4", "reference": "And lastly, they are so so tiny, basically anything in your house, a dog, a cat, anything, they can get squished in a door, if they get mouthed, even a little tiny bit by your dog or cat, or by your kid, they will just squished.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "and lastly, they are so so tiny, basically anything in your house, a dog, a cat, anything, they can get squished in a door, if they get mouthed, even a little tiny bit by your dog or cat, or by your kid, they will just squished.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_23", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_23-1-rgb_front.mp4", "reference": "There is not a whole lot to them, they are not that robust, they are mostly feathers.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "there is not a whole lot to them, they are not that robust, they are mostly feathers.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_24", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_24-1-rgb_front.mp4", "reference": "You have to be fairly careful with these birds.", "prediction": "so, you're going to want to make sure that you have a good, solid, comfortable chair for your home office.", "normalized_reference": "you have to be fairly careful with these birds.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, comfortable chair for your home office.", "correct": null} -{"id": "-f1_kdl050s_25", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_25-1-rgb_front.mp4", "reference": "At least in a physical way.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "at least in a physical way.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_26", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_26-1-rgb_front.mp4", "reference": "Those are most of your household dangers.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "those are most of your household dangers.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_27", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_27-1-rgb_front.mp4", "reference": "And again, if you are cooking and the birds are loose, be careful with them landing on a hot pan.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "and again, if you are cooking and the birds are loose, be careful with them landing on a hot pan.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_28", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_28-1-rgb_front.mp4", "reference": "You don't want toilet seats open if they are flying around your house because they can fly in it and drowned.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "you don't want toilet seats open if they are flying around your house because they can fly in it and drowned.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_29", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_29-1-rgb_front.mp4", "reference": "Just be careful, you want to make sure that if you ever let these guys loose out of their cage, you basically bombproof your house.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "just be careful, you want to make sure that if you ever let these guys loose out of their cage, you basically bombproof your house.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_3", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_3-1-rgb_front.mp4", "reference": "A lot of these birds aren't tame.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "a lot of these birds aren't tame.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "-f1_kdl050s_30", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_30-1-rgb_front.mp4", "reference": "You make sure that every little nook and cranny has been looked at for.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "you make sure that every little nook and cranny has been looked at for.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_31", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_31-1-rgb_front.mp4", "reference": "And, if they are alone in their cages and if you have smaller pets and it is a smaller cage, they cannot knock their cage over and let either the bird to fly out or they can't reach through the bars.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "and, if they are alone in their cages and if you have smaller pets and it is a smaller cage, they cannot knock their cage over and let either the bird to fly out or they can't reach through the bars.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_32", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_32-1-rgb_front.mp4", "reference": "Like a cat might dig through the bars if they are small enough and be able to grab hold of the bird.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "like a cat might dig through the bars if they are small enough and be able to grab hold of the bird.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_33", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_33-1-rgb_front.mp4", "reference": "And, if the bird is outside if you let these guys outside to get some fresh sunshine, raccoons have been known to break into their cages and tear through the bars and ripped into these guys.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "and, if the bird is outside if you let these guys outside to get some fresh sunshine, raccoons have been known to break into their cages and tear through the bars and ripped into these guys.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_34", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_34-1-rgb_front.mp4", "reference": "So you have to be very careful if you leave them outside for any period of time.", "prediction": "so, i'm going to show you how to do that in just a minute.", "normalized_reference": "so you have to be very careful if you leave them outside for any period of time.", "normalized_prediction": "so, i'm going to show you how to do that in just a minute.", "correct": null} -{"id": "-f1_kdl050s_35", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_35-1-rgb_front.mp4", "reference": "That more or less covers it, just be careful because your birds are very small and much more sensitive to chemicals then many other pets are.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "that more or less covers it, just be careful because your birds are very small and much more sensitive to chemicals then many other pets are.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_4", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_4-1-rgb_front.mp4", "reference": "People get them and they only have two or three of them.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "people get them and they only have two or three of them.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "-f1_kdl050s_5", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_5-1-rgb_front.mp4", "reference": "As you are opening the cage doors to clean their cages these guys will get startled and fly away.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "as you are opening the cage doors to clean their cages these guys will get startled and fly away.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_6", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_6-1-rgb_front.mp4", "reference": "And when they panic, they fly and they don't come back.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "and when they panic, they fly and they don't come back.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_7", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_7-1-rgb_front.mp4", "reference": "They fly out your windows.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "they fly out your windows.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_8", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_8-1-rgb_front.mp4", "reference": "They fly out your front door.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "they fly out your front door.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "-f1_kdl050s_9", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/-f1_kdl050s_9-1-rgb_front.mp4", "reference": "You will be thinking that every thing is sealed and you go clean the papers and your daughter, son, husband walks in through the front door and that bird just flies right out.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "you will be thinking that every thing is sealed and you go clean the papers and your daughter, son, husband walks in through the front door and that bird just flies right out.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "00dWJ4YRRSI_0_1", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/00dWJ4YRRSI_0_1-1-rgb_front.mp4", "reference": "I hope this becomes very popular, here of late, is the circle hooks. Now, circle hooks has been used by Japanese fishermen and longliners for years and years, but in recent years, they've developed lighter, smaller, in shore type hooks, which are very well suited, particularly to folks that are in to the hook and release type fishing.", "prediction": "so, you're going to want to make sure that you have a good pair of gloves on.", "normalized_reference": "i hope this becomes very popular, here of late, is the circle hooks. now, circle hooks has been used by japanese fishermen and longliners for years and years, but in recent years, they've developed lighter, smaller, in shore type hooks, which are very well suited, particularly to folks that are in to the hook and release type fishing.", "normalized_prediction": "so, you're going to want to make sure that you have a good pair of gloves on.", "correct": null} -{"id": "00dWJ4YRRSI_2", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/00dWJ4YRRSI_2-1-rgb_front.mp4", "reference": "This hook, basically is designed, to catch the fish in the corner of the mouth.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "this hook, basically is designed, to catch the fish in the corner of the mouth.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "00dWJ4YRRSI_3", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/00dWJ4YRRSI_3-1-rgb_front.mp4", "reference": "Now this type of hook, when you get a bite, you can't jerk the rod to set the hook.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "now this type of hook, when you get a bite, you can't jerk the rod to set the hook.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "00dWJ4YRRSI_4", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/00dWJ4YRRSI_4-1-rgb_front.mp4", "reference": "You basically just reel down, and get the line tight, and the fish will take off, and when he does, he usually turns, and this hook comes right in the corner of his mouth, and it sort of acts, really like a, kind of like a bottle opener.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "you basically just reel down, and get the line tight, and the fish will take off, and when he does, he usually turns, and this hook comes right in the corner of his mouth, and it sort of acts, really like a, kind of like a bottle opener.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "00dWJ4YRRSI_5", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/00dWJ4YRRSI_5-1-rgb_front.mp4", "reference": "Once you get it in there, it is very difficult to remove this hook, so if you catch a lot of fish, when you hook up the fish, you rarely ever lose them because of that particular mechanism.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "once you get it in there, it is very difficult to remove this hook, so if you catch a lot of fish, when you hook up the fish, you rarely ever lose them because of that particular mechanism.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "00dWJ4YRRSI_6", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/00dWJ4YRRSI_6-1-rgb_front.mp4", "reference": "The nice thing about the circle hook is, you don't gut hook a lot of fish.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "the nice thing about the circle hook is, you don't gut hook a lot of fish.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "00dWJ4YRRSI_7", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/00dWJ4YRRSI_7-1-rgb_front.mp4", "reference": "You don't damage a lot of fish.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "you don't damage a lot of fish.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "00dWJ4YRRSI_8", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/00dWJ4YRRSI_8-1-rgb_front.mp4", "reference": "You simply get him up to the boat.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-made, well-constructed, well-built, well-designed, well-crafted, well-made, well-built, well-designed, well-crafted, well-made, well-built, well-designed, well-crafted, well-made, well-built, well-designed, well-crafted, well-made, well-built, well-designed, well-crafted, well-made, well-built, well-designed,", "normalized_reference": "you simply get him up to the boat.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-made, well-constructed, well-built, well-designed, well-crafted, well-made, well-built, well-designed, well-crafted, well-made, well-built, well-designed, well-crafted, well-made, well-built, well-designed, well-crafted, well-made, well-built, well-designed, well-crafted, well-made, well-built, well-designed,", "correct": null} -{"id": "00dWJ4YRRSI_9", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/00dWJ4YRRSI_9-1-rgb_front.mp4", "reference": "If you want to release him, you can release him, or cut the hook out, and it's a pretty, it's a pretty friendly hook, for fishing.", "prediction": "so, you're going to want to make sure that you have a good grip on your racket and you're going to want to make sure that you're comfortable with it.", "normalized_reference": "if you want to release him, you can release him, or cut the hook out, and it's a pretty, it's a pretty friendly hook, for fishing.", "normalized_prediction": "so, you're going to want to make sure that you have a good grip on your racket and you're going to want to make sure that you're comfortable with it.", "correct": null} -{"id": "0oGfy530AuI_0", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_0-1-rgb_front.mp4", "reference": "MICHAEL ROSENGART: Thrusters.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "michael rosengart: thrusters.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "0oGfy530AuI_1", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_1-1-rgb_front.mp4", "reference": "Right now, we're going to get into a more complicated exercise.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "right now, we're going to get into a more complicated exercise.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "0oGfy530AuI_10", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_10-1-rgb_front.mp4", "reference": "Jonesy is going to sit back.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "jonesy is going to sit back.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "0oGfy530AuI_11", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_11-1-rgb_front.mp4", "reference": "And as he drives up, again, driving on his heel, driving his hips forward is the work from his hips that will then force the arms up.", "prediction": "so, you're going to want to make sure that you have a good grip on your knife and you're going to want to be able to see what you're doing.", "normalized_reference": "and as he drives up, again, driving on his heel, driving his hips forward is the work from his hips that will then force the arms up.", "normalized_prediction": "so, you're going to want to make sure that you have a good grip on your knife and you're going to want to be able to see what you're doing.", "correct": null} -{"id": "0oGfy530AuI_12", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_12-1-rgb_front.mp4", "reference": "Good.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "good.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "0oGfy530AuI_13", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_13-1-rgb_front.mp4", "reference": "And then there's a lot of arm strength involved to stabilize the dumbbell right above his shoulders.", "prediction": "so, you're going to want to make sure that you have a good grip on your hands and then you're going to want to make sure that you have a good grip on your feet.", "normalized_reference": "and then there's a lot of arm strength involved to stabilize the dumbbell right above his shoulders.", "normalized_prediction": "so, you're going to want to make sure that you have a good grip on your hands and then you're going to want to make sure that you have a good grip on your feet.", "correct": null} -{"id": "0oGfy530AuI_14", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_14-1-rgb_front.mp4", "reference": "Not out to the side, not back, but right above.", "prediction": "so, you're going to want to make sure that you have a good grip on your knife and you're going to want to be able to see what you're doing.", "normalized_reference": "not out to the side, not back, but right above.", "normalized_prediction": "so, you're going to want to make sure that you have a good grip on your knife and you're going to want to be able to see what you're doing.", "correct": null} -{"id": "0oGfy530AuI_15", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_15-1-rgb_front.mp4", "reference": "That's good.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "that's good.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "0oGfy530AuI_16", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_16-1-rgb_front.mp4", "reference": "Good work, Jonesy.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "good work, jonesy.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "0oGfy530AuI_17", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_17-1-rgb_front.mp4", "reference": "Again working from the heels up, work with your breath; feel that you're driving your hips forward and up each time, good work.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "again working from the heels up, work with your breath; feel that you're driving your hips forward and up each time, good work.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "0oGfy530AuI_18", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_18-1-rgb_front.mp4", "reference": "Do ten of those and we're going to take a three to five minute break, and then come back to it.", "prediction": "so, you're going to want to start with a good pair of gloves.", "normalized_reference": "do ten of those and we're going to take a three to five minute break, and then come back to it.", "normalized_prediction": "so, you're going to want to start with a good pair of gloves.", "correct": null} -{"id": "0oGfy530AuI_19", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_19-1-rgb_front.mp4", "reference": "Again, I want to make sure that you understand that when you're doing the thruster that it's working from the ground up, and it is one smooth movement.", "prediction": "so, you're going to want to make sure that you have a good, solid, well balanced diet.", "normalized_reference": "again, i want to make sure that you understand that when you're doing the thruster that it's working from the ground up, and it is one smooth movement.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well balanced diet.", "correct": null} -{"id": "0oGfy530AuI_2", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_2-1-rgb_front.mp4", "reference": "We're integrating more of the body.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "we're integrating more of the body.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "0oGfy530AuI_20", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_20-1-rgb_front.mp4", "reference": "It's not segmented.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "it's not segmented.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "0oGfy530AuI_21", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_21-1-rgb_front.mp4", "reference": "It's not the squat and a shoulder press, okay?", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "it's not the squat and a shoulder press, okay?", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "0oGfy530AuI_22", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_22-1-rgb_front.mp4", "reference": "It's one smooth movement.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "it's one smooth movement.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "0oGfy530AuI_23", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_23-1-rgb_front.mp4", "reference": "Try it.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "try it.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "0oGfy530AuI_3", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_3-1-rgb_front.mp4", "reference": "And we're going to develop more strength because we're getting more of the body parts working together at the same time in cohesion.", "prediction": "so, you're going to want to make sure that you have a good grip on your knife and you're going to want to make sure that you have a good grip on your knife.", "normalized_reference": "and we're going to develop more strength because we're getting more of the body parts working together at the same time in cohesion.", "normalized_prediction": "so, you're going to want to make sure that you have a good grip on your knife and you're going to want to make sure that you have a good grip on your knife.", "correct": null} -{"id": "0oGfy530AuI_4", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_4-1-rgb_front.mp4", "reference": "Okay.", "prediction": "and that's how you get your own personal, private, and exclusive, and it's not going to be shared with anyone else.", "normalized_reference": "okay.", "normalized_prediction": "and that's how you get your own personal, private, and exclusive, and it's not going to be shared with anyone else.", "correct": null} -{"id": "0oGfy530AuI_5", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_5-1-rgb_front.mp4", "reference": "So, Jonesy, you want to go ahead and show what a thruster is?", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "so, jonesy, you want to go ahead and show what a thruster is?", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "0oGfy530AuI_6", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_6-1-rgb_front.mp4", "reference": "Jonesy going to take a couple of dumbbells, bring it up to his shoulders.", "prediction": "so, you're going to want to make sure that you have a good grip on your hands and you're going to want to make sure that you have a good grip on your hands and you're going to want to make sure that you have a good grip on your hands and you're going to want to make sure that you have a good grip on your hands and you're going to want to make sure that you have a good grip on your hands and you're going to", "normalized_reference": "jonesy going to take a couple of dumbbells, bring it up to his shoulders.", "normalized_prediction": "so, you're going to want to make sure that you have a good grip on your hands and you're going to want to make sure that you have a good grip on your hands and you're going to want to make sure that you have a good grip on your hands and you're going to want to make sure that you have a good grip on your hands and you're going to want to make sure that you have a good grip on your hands and you're going to", "correct": null} -{"id": "0oGfy530AuI_7", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_7-1-rgb_front.mp4", "reference": "And we're, basically, he's going to sit back into a squat.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "and we're, basically, he's going to sit back into a squat.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "0oGfy530AuI_8", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_8-1-rgb_front.mp4", "reference": "And we're basically combining a squat and a shoulder press, but it's not that simple.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "and we're basically combining a squat and a shoulder press, but it's not that simple.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "0oGfy530AuI_9", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0oGfy530AuI_9-1-rgb_front.mp4", "reference": "It's not segmented like that.", "prediction": "and that's how you do it.", "normalized_reference": "it's not segmented like that.", "normalized_prediction": "and that's how you do it.", "correct": null} -{"id": "0pKzG0RRUz4_0", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_0-1-rgb_front.mp4", "reference": "Another technique is you can braid the hair on first and then start wrapping cause some people have really short hair and we can create the look with adding the hair end.", "prediction": "so, you're going to want to make sure that you have a good grip on your hands and then you're going to want to make sure that you have a good grip on your feet.", "normalized_reference": "another technique is you can braid the hair on first and then start wrapping cause some people have really short hair and we can create the look with adding the hair end.", "normalized_prediction": "so, you're going to want to make sure that you have a good grip on your hands and then you're going to want to make sure that you have a good grip on your feet.", "correct": null} -{"id": "0pKzG0RRUz4_0", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_0-2-rgb_front.mp4", "reference": "Another technique is you can braid the hair on first and then start wrapping cause some people have really short hair and we can create the look with adding the hair end.", "prediction": "so, you're going to want to make sure that you have a good, strong, sturdy, and well balanced boat.", "normalized_reference": "another technique is you can braid the hair on first and then start wrapping cause some people have really short hair and we can create the look with adding the hair end.", "normalized_prediction": "so, you're going to want to make sure that you have a good, strong, sturdy, and well balanced boat.", "correct": null} -{"id": "0pKzG0RRUz4_1", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_1-1-rgb_front.mp4", "reference": "So no matter what the length of your hair, long as it's long enough to add a, at the hair on, we can start by braiding it on, then braid, then wrap and you can make this as thick as you like, whatever size you like, whatever color you like.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "so no matter what the length of your hair, long as it's long enough to add a, at the hair on, we can start by braiding it on, then braid, then wrap and you can make this as thick as you like, whatever size you like, whatever color you like.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "0pKzG0RRUz4_1", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_1-2-rgb_front.mp4", "reference": "So no matter what the length of your hair, long as it's long enough to add a, at the hair on, we can start by braiding it on, then braid, then wrap and you can make this as thick as you like, whatever size you like, whatever color you like.", "prediction": "so, you're going to want to make sure that you have a good, strong, sturdy, and well balanced chair.", "normalized_reference": "so no matter what the length of your hair, long as it's long enough to add a, at the hair on, we can start by braiding it on, then braid, then wrap and you can make this as thick as you like, whatever size you like, whatever color you like.", "normalized_prediction": "so, you're going to want to make sure that you have a good, strong, sturdy, and well balanced chair.", "correct": null} -{"id": "0pKzG0RRUz4_2", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_2-1-rgb_front.mp4", "reference": "I like the lock extensions because it's not damaging to your hair at all, because you can add color without actually coloring your hair, you just wrap on a different color.", "prediction": "so, i'm going to show you how to do that.", "normalized_reference": "i like the lock extensions because it's not damaging to your hair at all, because you can add color without actually coloring your hair, you just wrap on a different color.", "normalized_prediction": "so, i'm going to show you how to do that.", "correct": null} -{"id": "0pKzG0RRUz4_2", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_2-2-rgb_front.mp4", "reference": "I like the lock extensions because it's not damaging to 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want to make sure that you have a good, solid, well balanced, and comfortable chair for your work space.", "correct": null} -{"id": "0pKzG0RRUz4_3", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_3-2-rgb_front.mp4", "reference": "I really like that.", "prediction": "and i'm going to show you how to do that in just a minute.", "normalized_reference": "i really like that.", "normalized_prediction": "and i'm going to show you how to do that in just a minute.", "correct": null} -{"id": "0pKzG0RRUz4_4", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_4-1-rgb_front.mp4", "reference": "You can get instant length, which I love.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "you can get instant length, which i love.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "0pKzG0RRUz4_4", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_4-2-rgb_front.mp4", "reference": "You can get instant length, which I love.", "prediction": "so, i'm going to show you how to make a little bit of a bow and then we're going to put it on top of this.", "normalized_reference": "you can get instant length, which i love.", "normalized_prediction": "so, i'm going to show you how to make a little bit of a bow and then we're going to put it on top of this.", "correct": null} -{"id": "0pKzG0RRUz4_5", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_5-1-rgb_front.mp4", "reference": "And, we have a skinny one and we have a little fatter one.", "prediction": "so, you're going to want to make sure that you have a good, solid, well balanced diet.", "normalized_reference": "and, we have a skinny one and we have a little fatter one.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well balanced diet.", "correct": null} -{"id": "0pKzG0RRUz4_5", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_5-2-rgb_front.mp4", "reference": "And, we have a skinny one and we have a little fatter one.", "prediction": "so, i'm going to show you how to make a little bit of a difference in your life by just taking a few minutes out of your day and doing something nice for someone else.", "normalized_reference": "and, we have a skinny one and we have a little fatter one.", "normalized_prediction": "so, i'm going to show you how to make a little bit of a difference in your life by just taking a few minutes out of your day and doing something nice for someone else.", "correct": null} -{"id": "0pKzG0RRUz4_6", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_6-1-rgb_front.mp4", "reference": "And we can them even fatter.", "prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "normalized_reference": "and we can them even fatter.", "normalized_prediction": "so, you're going to want to make sure that you have a good, solid, well-balanced diet.", "correct": null} -{"id": "0pKzG0RRUz4_6", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_6-2-rgb_front.mp4", "reference": "And we can them even fatter.", "prediction": "so, i'm going to show you how to make a simple, easy-to-make, and fun-to-play game for your kids.", "normalized_reference": "and we can them even fatter.", "normalized_prediction": "so, i'm going to show you how to make a simple, easy-to-make, and fun-to-play game for your kids.", "correct": null} -{"id": "0pKzG0RRUz4_7", "video_path": "/data/datasets/how2sign/How2Sign/sentence_level/val/rgb_front/raw_videos/0pKzG0RRUz4_7-1-rgb_front.mp4", "reference": "Whatever length, we can just keep on adding hair forever and ever and it will just go on and on.", "prediction": "so, you're going to want to make sure that you have a good grip on your knife and you're going to want to be able to see what you're doing.", "normalized_reference": "whatever length, we can just keep on adding hair forever and ever and it will just go on and on.", "normalized_prediction": "so, you're going to want to make sure that you have a good grip on your knife and you're going to want to be able to see what you're doing.", "correct": null} diff --git a/vlm_hf_space/outputs/how2sign_qwen25vl_3b_qlora/archive_500train_eval100/train_log.jsonl b/vlm_hf_space/outputs/how2sign_qwen25vl_3b_qlora/archive_500train_eval100/train_log.jsonl deleted file mode 100644 index c0a2bce55176814442a1aa04300fd1abf46e6d84..0000000000000000000000000000000000000000 --- a/vlm_hf_space/outputs/how2sign_qwen25vl_3b_qlora/archive_500train_eval100/train_log.jsonl +++ /dev/null @@ -1,79 +0,0 @@ -{"epoch": 1, 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